{ "cells": [ { "cell_type": "markdown", "id": "78e67e43", "metadata": {}, "source": [ "# Multi-agent Configuration Exploration\n", "\n", "This notebook explores composition of developed agents to get the desired output for GAIA tasks. " ] }, { "cell_type": "code", "execution_count": 1, "id": "5f1da61d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: smolagents in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (1.14.0)\n", "Requirement already satisfied: huggingface-hub>=0.28.0 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from smolagents) (0.30.2)\n", "Requirement already satisfied: requests>=2.32.3 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from smolagents) (2.32.3)\n", "Requirement already satisfied: rich>=13.9.4 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from smolagents) (14.0.0)\n", "Requirement already satisfied: jinja2>=3.1.4 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from smolagents) (3.1.6)\n", "Requirement already satisfied: pillow>=11.0.0 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from smolagents) (11.2.1)\n", "Requirement already satisfied: markdownify>=0.14.1 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from smolagents) (1.1.0)\n", "Requirement already satisfied: duckduckgo-search>=6.3.7 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from smolagents) (8.0.1)\n", "Requirement already satisfied: python-dotenv in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from smolagents) (1.1.0)\n", "Requirement already satisfied: click>=8.1.8 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from duckduckgo-search>=6.3.7->smolagents) (8.1.8)\n", "Requirement already satisfied: primp>=0.15.0 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from duckduckgo-search>=6.3.7->smolagents) (0.15.0)\n", "Requirement already satisfied: lxml>=5.3.0 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from duckduckgo-search>=6.3.7->smolagents) (5.4.0)\n", "Requirement already satisfied: filelock in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from huggingface-hub>=0.28.0->smolagents) (3.18.0)\n", "Requirement already satisfied: fsspec>=2023.5.0 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from huggingface-hub>=0.28.0->smolagents) (2025.3.0)\n", "Requirement already satisfied: packaging>=20.9 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from huggingface-hub>=0.28.0->smolagents) (24.2)\n", "Requirement already satisfied: pyyaml>=5.1 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from huggingface-hub>=0.28.0->smolagents) (6.0.2)\n", "Requirement already satisfied: tqdm>=4.42.1 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from huggingface-hub>=0.28.0->smolagents) (4.67.1)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from huggingface-hub>=0.28.0->smolagents) (4.13.2)\n", "Requirement already satisfied: MarkupSafe>=2.0 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from jinja2>=3.1.4->smolagents) (3.0.2)\n", "Requirement already satisfied: beautifulsoup4<5,>=4.9 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from markdownify>=0.14.1->smolagents) (4.13.4)\n", "Requirement already satisfied: six<2,>=1.15 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from markdownify>=0.14.1->smolagents) (1.17.0)\n", "Requirement already satisfied: soupsieve>1.2 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from beautifulsoup4<5,>=4.9->markdownify>=0.14.1->smolagents) (2.7)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from requests>=2.32.3->smolagents) (3.4.1)\n", "Requirement already satisfied: idna<4,>=2.5 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from requests>=2.32.3->smolagents) (3.10)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from requests>=2.32.3->smolagents) (2.4.0)\n", "Requirement already satisfied: certifi>=2017.4.17 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from requests>=2.32.3->smolagents) (2025.4.26)\n", "Requirement already satisfied: markdown-it-py>=2.2.0 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from rich>=13.9.4->smolagents) (3.0.0)\n", "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from rich>=13.9.4->smolagents) (2.19.1)\n", "Requirement already satisfied: mdurl~=0.1 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from markdown-it-py>=2.2.0->rich>=13.9.4->smolagents) (0.1.2)\n", "Note: you may need to restart the kernel to use updated packages.\n", "Requirement already satisfied: devtools in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (0.12.2)\n", "Requirement already satisfied: asttokens<3.0.0,>=2.0.0 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from devtools) (2.4.1)\n", "Requirement already satisfied: executing>=1.1.1 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from devtools) (2.2.0)\n", "Requirement already satisfied: pygments>=2.15.0 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from devtools) (2.19.1)\n", "Requirement already satisfied: six>=1.12.0 in /Users/kublytsk/Projects/huggingface_agents/Final_Assignment_Agent/.venv/lib/python3.13/site-packages (from asttokens<3.0.0,>=2.0.0->devtools) (1.17.0)\n", "Note: you may need to restart the kernel to use updated packages.\n" ] }, { "data": { "text/plain": [ "True" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%pip install smolagents\n", "%pip install devtools\n", "\n", "from dotenv import load_dotenv\n", "from pathlib import Path\n", "import sys\n", "\n", "sys.path.insert(0, str(Path.cwd().parent))\n", "load_dotenv()" ] }, { "cell_type": "markdown", "id": "43ea1298", "metadata": {}, "source": [ "## Final Answer Formatting" ] }, { "cell_type": "code", "execution_count": null, "id": "6df1156e", "metadata": {}, "outputs": [], "source": [ "from smolagents import Model, FinalAnswerTool\n", "from devtools import pprint\n", "\n", "\n", "class RefineGAIAAnswer(FinalAnswerTool):\n", " name = \"refine_answer\" # workaround since smolagents now does not call final tool\n", " description = \"Refines and replaces final answer. It must always be called before giving the final answer.\"\n", " inputs = {\n", " \"task\": {\"type\": \"string\", \"description\": \"The original problem to solve.\"},\n", " \"answer\": {\"type\": \"string\", \"description\": \"The final answer to the problem.\"},\n", " }\n", " output_type = \"string\"\n", "\n", " _system_prompt = \"\"\"\\\n", "You are a general AI assistant.\n", "\n", "I will provide you a question and an answer to it.\n", "Your task is:\n", "- refine the answer and ensure it is what was asked in the question.\n", "- rephrase answer according to rules below.\n", "\n", "Answer should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. \n", "\n", "If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. \n", "If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. \n", "If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.\n", "If you are asked for a comma separated list use space after comma and before next element of the list unless other directly specified in a question.\n", "If answer does not enforce specific format, capitalize the first letter of the answer. Check question context to define if letters case matters.\n", "If answer is number use digits only not words unless other directly specified in a question.\n", "If answer is not full sentence, do not add period at the end.\n", "\"\"\"\n", "\n", " def __init__(self, model: Model, **kwargs):\n", " self.model = model\n", " super().__init__(**kwargs)\n", "\n", " def forward(self, task: str, answer: str) -> str:\n", " if not answer:\n", " return answer\n", "\n", " response = self.model(\n", " [\n", " {\"role\": \"system\", \"content\": self._system_prompt},\n", " {\"role\": \"user\", \"content\": self._prompt(task, answer)},\n", " ]\n", " )\n", "\n", " return response.content\n", "\n", " def _prompt(self, task: str, answer: str) -> str:\n", " return f\"\"\"\\\n", "QUESTION:\n", "{task}\n", "\n", "ANSWER:\n", "{answer}\n", "\"\"\"\n", "\n", "\n", "from smolagents import OpenAIServerModel\n", "\n", "final_answer_tool = RefineGAIAAnswer(model=OpenAIServerModel(model_id=\"gpt-4.1\"))\n", "\n", "# final_answer = final_answer_tool(\n", "# task=\"\"\"\\\n", "# In the video https://www.youtube.com/watch?v=L1vXCYZAYYM, what is the highest number of bird species to be on camera simultaneously?\n", "# \"\"\",\n", "# answer=\"\"\"\\\n", "# The highest number of bird species to be on camera simultaneously in the video is three: Emperor\n", "# Penguin chicks, Giant Petrel, and Adelie Penguin.\n", "# \"\"\",\n", "# )\n", "# print(final_answer)\n", "\n", "# final_answer = final_answer_tool(\n", "# task=\"\"\"\\\n", "# Examine the video at https://www.youtube.com/watch?v=1htKBjuUWec. What does Teal'c say in response to the question \\\"Isn't that hot?\\\"\n", "# \"\"\",\n", "# answer=\"\"\"\\\n", "# In response to the question \"Isn't that hot?\", Teal'c says, \"Extremely.\"\n", "# \"\"\",\n", "# )\n", "# print(final_answer)\n", "\n", "# final_answer = final_answer_tool(\n", "# task=\"\"\"\\\n", "# The attached Excel file contains the sales of menu items for a local fast-food chain. What were the total sales that the chain made from food (not including drinks)? Express your answer in USD with two decimal places.\n", "# \"\"\",\n", "# answer=\"\"\"\\\n", "# $89706.00\n", "# \"\"\",\n", "# )\n", "# print(final_answer)\n", "\n", "# final_answer = final_answer_tool(\n", "# task=\"\"\"\\\n", "# What peice is on d8 square in the chess position from the image? Give the piece code only.\n", "# \"\"\",\n", "# answer=\"r\", # important to keep piece code lower to denote that rook is black\n", "# )\n", "# print(final_answer)\n", "\n", "# final_answer = final_answer_tool(\n", "# task=\"\"\"\\\n", "# List the pages to review in ascending order.\n", "# \"\"\",\n", "# answer=\"123,231,199\",\n", "# )\n", "# print(final_answer)\n", "\n", "final_answer = final_answer_tool(\n", " task=\"\"\"\\\n", ".rewsna eht sa \"tfel\" drow eht fo etisoppo eht etirw ,ecnetnes siht dnatsrednu uoy fI\n", "\"\"\",\n", " answer=\"\"\"\\\n", "If you understand this sentence, write the opposite of the word \"left\" as the answer.\n", "\"\"\",\n", ")\n", "print(final_answer)" ] }, { "cell_type": "markdown", "id": "09e09649", "metadata": {}, "source": [ "## Agents Assembling" ] }, { "cell_type": "code", "execution_count": null, "id": "78afed76", "metadata": {}, "outputs": [], "source": [ "from smolagents import CodeAgent, ToolCallingAgent, OpenAIServerModel, tool\n", "from tools import (\n", " GetAttachmentTool,\n", " GoogleSearchTool,\n", " GoogleSiteSearchTool,\n", " ContentRetrieverTool,\n", " SpeechRecognitionTool,\n", " YoutubeVideoTool,\n", " ImageToChessBoardFENTool,\n", " chess_engine_locator,\n", ")\n", "\n", "model = OpenAIServerModel(model_id=\"gpt-4.1\")\n", "verbosity = 2\n", "\n", "get_attachment_tool = GetAttachmentTool()\n", "env_tools = [\n", " get_attachment_tool,\n", "]\n", "\n", "researcher_agent = ToolCallingAgent(\n", " name=\"web_researcher\",\n", " description=\"Browses the web to find information.\",\n", " tools=[\n", " GoogleSearchTool(),\n", " GoogleSiteSearchTool(),\n", " ContentRetrieverTool(),\n", " ], # no env_tools!\n", " model=model,\n", " planning_interval=3,\n", " max_steps=9,\n", " verbosity_level=verbosity,\n", ")\n", "\n", "\n", "@tool\n", "def web_search(task: str) -> str:\n", " \"\"\"\n", " Solves problems requiring information search in the internet. High priority if applicable.\n", " Args:\n", " task: The original task without any changes.\n", " Returns:\n", " The answer to the question.\n", " \"\"\"\n", " return researcher_agent.run(task)\n", "\n", "\n", "data_analyst_agent = CodeAgent(\n", " name=\"data_analyst\",\n", " description=\"Data analyst with advanced skills in statistic, handling tabular data and related Python packages.\",\n", " tools=env_tools,\n", " additional_authorized_imports=[\n", " \"numpy\",\n", " \"pandas\",\n", " \"tabulate\",\n", " \"matplotlib\",\n", " \"seaborn\",\n", " ],\n", " model=model,\n", " verbosity_level=verbosity,\n", ")\n", "\n", "\n", "@tool\n", "def data_analysis(task: str) -> str:\n", " \"\"\"\n", " Analyses excel, csv and other tabular data. High priority if applicable.\n", " Args:\n", " task: The original task without any changes.\n", " Returns:\n", " The answer to the question.\n", " \"\"\"\n", " return data_analyst_agent.run(task)\n", "\n", "\n", "chess_player_agent = CodeAgent(\n", " name=\"chess_player\",\n", " description=\"Chess grandmaster empowered by chess engine. Always thinks at least 100 steps ahead.\",\n", " tools=env_tools\n", " + [\n", " ImageToChessBoardFENTool(client=model.client),\n", " chess_engine_locator,\n", " ],\n", " additional_authorized_imports=[\n", " \"chess\",\n", " \"chess.engine\",\n", " ],\n", " model=model,\n", " verbosity_level=verbosity,\n", ")\n", "\n", "speech_recognition_tool = SpeechRecognitionTool()\n", "\n", "\n", "@tool\n", "def chess_problem_solving(task: str) -> str:\n", " \"\"\"\n", " Solves chess problems. High priority if applicable.\n", " Args:\n", " task: The original task without any changes.\n", " Returns:\n", " The answer to the question.\n", " \"\"\"\n", " return chess_player_agent.run(task)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "c5c8cfeb", "metadata": {}, "outputs": [], "source": [ "manager_agent = ToolCallingAgent(\n", " name=\"general_agent\",\n", " description=\"Answers questions with help of tools and best of knowledge.\",\n", " model=model,\n", " tools=env_tools\n", " + [\n", " speech_recognition_tool,\n", " YoutubeVideoTool(\n", " client=model.client,\n", " speech_recognition_tool=speech_recognition_tool,\n", " ),\n", " web_search,\n", " data_analysis,\n", " chess_problem_solving,\n", " RefineGAIAAnswer(model=model),\n", " ],\n", " max_steps=12,\n", " verbosity_level=verbosity,\n", ")" ] }, { "cell_type": "markdown", "id": "90e118ea", "metadata": {}, "source": [ "Notes:\n", "- FinalTool is not called for ToolCallingAgent, it should be added separately.\n", "- Agent sometimes ignore refined answer and return original answer.\n", "- Custom logic is needed to adapt for GAIA challenge." ] }, { "cell_type": "markdown", "id": "abb9142c", "metadata": {}, "source": [ "## Custom Agent Implementation" ] }, { "cell_type": "code", "execution_count": null, "id": "da63e513", "metadata": {}, "outputs": [], "source": [ "from smolagents import Text, LogLevel\n", "\n", "\n", "class GeneralAgent(ToolCallingAgent):\n", " def run(self, task: str, stream: bool = False, **kwargs):\n", " if stream:\n", " raise NotImplementedError(\"Streaming is not supported by GeneralAgent.\")\n", "\n", " answer = super().run(task=task, stream=stream, **kwargs)\n", " refined_answer = self._refine_answer(task, answer)\n", " if refined_answer != answer:\n", " self._publish_refined_answer(refined_answer)\n", "\n", " return refined_answer\n", "\n", " def _refine_answer(self, task: str, answer: str):\n", " response = self.model(\n", " [\n", " {\"role\": \"system\", \"content\": self._refinement_system_prompt},\n", " {\"role\": \"user\", \"content\": self._refinement_prompt(task, answer)},\n", " ]\n", " )\n", "\n", " return response.content\n", "\n", " def _publish_refined_answer(self, refined_answer):\n", " self.logger.log(\n", " Text(f\"Refined GAIA answer: {refined_answer}\", style=\"bold #d4b702\"),\n", " level=LogLevel.INFO,\n", " )\n", "\n", " _refinement_system_prompt = \"\"\"\\\n", "You are a general AI assistant.\n", "\n", "I will provide you a question and an answer to it.\n", "Your task is:\n", "- refine the answer and ensure it is what was asked in the question.\n", "- rephrase answer according to rules below.\n", "\n", "Answer should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. \n", "\n", "If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. \n", "If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. \n", "If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.\n", "If you are asked for a comma separated list use space after comma and before next element of the list unless other directly specified in a question.\n", "If answer does not enforce specific format, capitalize the first letter of the answer. Check question context to define if letters case matters.\n", "If answer is number use digits only not words unless other directly specified in a question.\n", "If answer is not full sentence, do not add period at the end.\n", "\"\"\"\n", "\n", " def _refinement_prompt(self, task: str, answer: str) -> str:\n", " return f\"\"\"\\\n", "QUESTION:\n", "{task}\n", "\n", "ANSWER:\n", "{answer}\n", "\"\"\"\n", "\n", "\n", "manager_agent = GeneralAgent(\n", " name=\"general_agent\",\n", " description=\"Answers questions with help of tools and best of knowledge.\",\n", " model=model,\n", " tools=env_tools\n", " + [\n", " speech_recognition_tool,\n", " YoutubeVideoTool(\n", " client=model.client,\n", " speech_recognition_tool=speech_recognition_tool,\n", " ),\n", " web_search,\n", " data_analysis,\n", " chess_problem_solving,\n", " ],\n", " max_steps=12,\n", " verbosity_level=verbosity,\n", ")" ] }, { "cell_type": "markdown", "id": "a83dedf9", "metadata": {}, "source": [ "### Simple Task" ] }, { "cell_type": "code", "execution_count": null, "id": "dd062f68", "metadata": {}, "outputs": [], "source": [ "get_attachment_tool.attachment_for(\"2d83110e-a098-4ebb-9987-066c06fa42d0\")\n", "manager_agent.run(\"\"\"\\\n", ".rewsna eht sa \"tfel\" drow eht fo etisoppo eht etirw ,ecnetnes siht dnatsrednu uoy fI\n", "\"\"\");" ] }, { "cell_type": "markdown", "id": "20640f6b", "metadata": {}, "source": [ "### Audition" ] }, { "cell_type": "code", "execution_count": null, "id": "eb00068a", "metadata": {}, "outputs": [], "source": [ "get_attachment_tool.attachment_for(\"1f975693-876d-457b-a649-393859e79bf3\")\n", "manager_agent.run(\"\"\"\\\n", "Hi, I was out sick from my classes on Friday, so I'm trying to figure out what I need to study for my Calculus mid-term next week. My friend from class sent me an audio recording of Professor Willowbrook giving out the recommended reading for the test, but my headphones are broken :(\n", "Could you please listen to the recording for me and tell me the page numbers I'm supposed to go over? I've attached a file called Homework.mp3 that has the recording. Please provide just the page numbers as a comma-delimited list. And please provide the list in ascending order.\n", "\"\"\");" ] }, { "cell_type": "markdown", "id": "6a7989fd", "metadata": {}, "source": [ "### YouTube Video" ] }, { "cell_type": "code", "execution_count": null, "id": "92a9d186", "metadata": {}, "outputs": [], "source": [ "get_attachment_tool.attachment_for(\n", " \"a1e91b78-d3d8-4675-bb8d-62741b4b68a6\"\n", ") # no attachment\n", "manager_agent.run(\n", " \"In the video https://www.youtube.com/watch?v=L1vXCYZAYYM, what is the highest number of bird species to be on camera simultaneously?\"\n", ");" ] }, { "cell_type": "markdown", "id": "90ce1ede", "metadata": {}, "source": [ "### Data Analysis" ] }, { "cell_type": "code", "execution_count": null, "id": "6fc74376", "metadata": {}, "outputs": [], "source": [ "get_attachment_tool.attachment_for(\"7bd855d8-463d-4ed5-93ca-5fe35145f733\")\n", "manager_agent.run(\n", " \"The attached Excel file contains the sales of menu items for a local fast-food chain. What were the total sales that the chain made from food (not including drinks)? Express your answer in USD with two decimal places.\"\n", ");" ] }, { "cell_type": "markdown", "id": "a2ad461c", "metadata": {}, "source": [ "### Web Search" ] }, { "cell_type": "code", "execution_count": null, "id": "92cb17a9", "metadata": {}, "outputs": [], "source": [ "get_attachment_tool.attachment_for(\n", " \"8e867cd7-cff9-4e6c-867a-ff5ddc2550be\"\n", ") # no attachment\n", "manager_agent.run(\n", " \"How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of english wikipedia.\"\n", ");" ] }, { "cell_type": "markdown", "id": "f0a78d30", "metadata": {}, "source": [ "### Chess Problem" ] }, { "cell_type": "code", "execution_count": null, "id": "0fdecb0b", "metadata": {}, "outputs": [], "source": [ "get_attachment_tool.attachment_for(\"cca530fc-4052-43b2-b130-b30968d8aa44\")\n", "manager_agent.run(\n", " \"Review the chess position provided in the image. It is black's turn. Provide the correct next move for black which guarantees a win. Please provide your response in algebraic notation.\"\n", ");" ] }, { "cell_type": "markdown", "id": "2d56572f", "metadata": {}, "source": [ "## Agents Graph" ] }, { "cell_type": "code", "execution_count": null, "id": "d8bce03d", "metadata": {}, "outputs": [], "source": [ "%pip install langgraph langchain_openai backoff" ] }, { "cell_type": "code", "execution_count": null, "id": "dbbd8153", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "**Botanic Reasoning (from a botanical perspective, not grocery or culinary):**\n", "\n", "\"Vegetables\" is a culinary and economic category and not a botanical one, but we are to use only botanical perspectives here.\n", "\n", "Botanically:\n", "- A \"vegetable\" is not a botanical term; instead, botanists classify edible plant parts as roots, tubers, stems, leaves, flowers, fruits, and seeds. However, in botanical classification:\n", " - Fruits are the mature ovary of a flowering plant, usually containing seeds. Many items considered \"vegetables\" in culinary contexts are fruits botanically (tomatoes, bell peppers, zucchini).\n", " - Seeds, grains, legumes, and nuts are not considered vegetables botanically, but are rather seeds or fruits.\n", " - Roots, tubers, stems, and leaves are not fruits but are plant organs—some of which fit what is commonly referred to as \"vegetables\" in botanical contexts.\n", "\n", "Now apply this logic item by item:\n", "\n", "- **milk:** Not a plant product (animal origin); not a vegetable.\n", "- **eggs:** Not a plant product (animal origin); not a vegetable.\n", "- **flour:** Typically ground wheat seeds; not a vegetable, but a processed seed product.\n", "- **whole bean coffee:** Seeds from the coffee plant's fruit; botanically a seed, not a vegetable.\n", "- **Oreos:** Processed food with mixed ingredients, none specifically a botanical vegetable.\n", "- **sweet potatoes:** Edible tuber; botanically, modified root; classified as a vegetable.\n", "- **fresh basil:** Edible leaves; botanically a leaf; classified as a vegetable.\n", "- **plums:** Fruit; mature ovary of the plum tree; not a vegetable.\n", "- **green beans:** Seeds inside fruit pods; botanically, pod fruits (legume family); not a vegetable (though culinary vegetable).\n", "- **rice:** Edible seed; seed of grasses (poaceae); not a vegetable.\n", "- **corn:** Edible seed (kernels are fruit+seed); not a vegetable botanically.\n", "- **bell pepper:** Fruit (berry type); not a vegetable botanically.\n", "- **whole allspice:** Dried unripe fruit; not a vegetable.\n", "- **acorns:** Nut, i.e., fruit; not a vegetable.\n", "- **broccoli:** Edible flower (and stem); botanically stem and flower; classified as a vegetable.\n", "- **celery:** Edible stalks (petioles); botanically stem; classified as a vegetable.\n", "- **zucchini:** Fruit (type of berry or pepo); not a vegetable botanically.\n", "- **lettuce:** Edible leaves; botanically leaf; classified as a vegetable.\n", "- **peanuts:** Seed in a pod; legume family; not a vegetable.\n", "\n", "**Final Classification:**\n", "\n", "Category \"Vegetables\" : \n", "- sweet potatoes (botanical root/tuber) \n", "- fresh basil (leaf) \n", "- broccoli (stem and flower) \n", "- celery (stem/petiole) \n", "- lettuce (leaf) \n", "\n", "Other (all others do not fit botanically as vegetables, nor are they plant organs classified as vegetables botanically): \n", "- milk \n", "- eggs \n", "- flour \n", "- whole bean coffee \n", "- Oreos \n", "- plums \n", "- green beans \n", "- rice \n", "- corn \n", "- bell pepper \n", "- whole allspice \n", "- acorns \n", "- zucchini \n", "- peanuts \n", "\n", "---\n", "\n", "**Final Answer:**\n", "\n", "**Vegetables:** sweet potatoes, fresh basil, broccoli, celery, lettuce \n", "**Other:** milk, eggs, flour, whole bean coffee, Oreos, plums, green beans, rice, corn, bell pepper, whole allspice, acorns, zucchini, peanuts\n" ] } ], "source": [ "from smolagents import Tool\n", "from openai import OpenAI\n", "\n", "\n", "class ClassifierTool(Tool):\n", " name = \"open_classifier\"\n", " description = \"\"\"Classifies given items into given categories from perspective of specific knowledge area.\"\"\"\n", " inputs = {\n", " \"knowledge_area\": {\n", " \"type\": \"string\",\n", " \"description\": \"The knowledge area that should be used for classification.\",\n", " },\n", " \"environment\": { # context make models too verbose\n", " \"type\": \"string\",\n", " \"description\": \"Couple words that describe environment or location in which items should be classified in case of plural meaning or if only part of item relevant for classification.\",\n", " },\n", " \"categories\": {\n", " \"type\": \"string\",\n", " \"description\": \"Comma separated list of categories to distribute objects.\",\n", " },\n", " \"items\": {\n", " \"type\": \"string\",\n", " \"description\": \"Comma separated list of items to be classified. Please include adjectives if available.\",\n", " },\n", " }\n", " output_type = \"string\"\n", "\n", " def __init__(\n", " self,\n", " client: OpenAI | None = None,\n", " model_id: str = \"gpt-4.1-mini\",\n", " **kwargs,\n", " ):\n", " self.client = client or OpenAI()\n", " self.model_id = model_id\n", "\n", " super().__init__(**kwargs)\n", "\n", " def forward(\n", " self, knowledge_area: str, environment: str, categories: str, items: str\n", " ) -> str:\n", " response = self.client.responses.create(\n", " model=self.model_id,\n", " input=[\n", " {\n", " \"role\": \"user\",\n", " \"content\": [\n", " {\n", " \"type\": \"input_text\",\n", " \"text\": self._prompt(\n", " knowledge_area=knowledge_area,\n", " context=environment,\n", " categories=categories,\n", " items=items,\n", " ),\n", " },\n", " ],\n", " }\n", " ],\n", " )\n", " answer = response.output_text\n", " return answer\n", "\n", " def _prompt(\n", " self, knowledge_area: str, context: str, categories: str, items: str\n", " ) -> str:\n", " return f\"\"\"\\\n", "You are {knowledge_area} classifier located in {context} context.\n", "I will provide you a list of items and a list of categories and context in which items should be considered.\n", "\n", "Your task is to classify the items into the categories.\n", "Use context to determine the meaning of the items and decide if you need to classify entire item or only part of it.\n", "\n", "Do not miss any item and do not add any item to the list of categories.\n", "Use highest probability category for each item.\n", "You can add category \"Other\" if you are not sure about the classification.\n", "\n", "Use only considerations from from the {knowledge_area} perspective.\n", "Explain your reasoning from {knowledge_area} perspective in {context} context and then provide final answer.\n", "Important: Do not allow {context} influence your judgment for classification.\n", "\n", "ITEMS: {items}\n", "CATEGORIES: {categories}\n", "\n", "Now provide your reasoning and finalize it with the classification in the following format:\n", "Category 1: items list\n", "Category 2: items list\n", "Other (if needed): items list\n", "\"\"\"\n", "\n", "\n", "classifier_tool = ClassifierTool(client=OpenAI(), model_id=\"gpt-4.1\")\n", "a = classifier_tool(\n", " knowledge_area=\"botanic\",\n", " environment=\"grocery list\",\n", " categories=\"vegetables\",\n", " items=\"milk, eggs, flour, whole bean coffee, Oreos, sweet potatoes, fresh basil, plums, green beans, rice, corn, bell pepper, whole allspice, acorns, broccoli, celery, zucchini, lettuce, peanuts\",\n", ")\n", "\n", "print(a)" ] }, { "cell_type": "code", "execution_count": 153, "id": "4c8e98e9", "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from typing import TypedDict, Optional\n", "from langgraph.graph import StateGraph, START, END\n", "from langchain_openai import ChatOpenAI\n", "from langchain_core.messages import HumanMessage\n", "from rich.console import Console\n", "from smolagents import (\n", " CodeAgent,\n", " ToolCallingAgent,\n", " OpenAIServerModel,\n", " AgentLogger,\n", " LogLevel,\n", " Panel,\n", " Text,\n", ")\n", "from tools import (\n", " GetAttachmentTool,\n", " GoogleSearchTool,\n", " GoogleSiteSearchTool,\n", " ContentRetrieverTool,\n", " YoutubeVideoTool,\n", " SpeechRecognitionTool,\n", " ImageToChessBoardFENTool,\n", " chess_engine_locator,\n", ")\n", "import openai\n", "import backoff\n", "from IPython.display import Image, display\n", "\n", "verbosity = LogLevel.DEBUG\n", "get_attachment_tool = GetAttachmentTool()\n", "speech_recognition_tool = SpeechRecognitionTool()\n", "env_tools = [\n", " get_attachment_tool,\n", "]\n", "model = OpenAIServerModel(model_id=\"gpt-4.1\")\n", "console = Console(record=True)\n", "logger = AgentLogger(level=verbosity, console=console)\n", "steps_buffer = []\n", "\n", "\n", "def capture_step_log(agent) -> None:\n", " steps_buffer.append(console.export_text(clear=True))\n", "\n", "\n", "agents = {\n", " agent.name: agent\n", " for agent in [\n", " ToolCallingAgent(\n", " name=\"general_assistant\",\n", " description=\"Answers questions for best of knowledge and common reasoning grounded on already known information. Can understand multimedia including audio and video files and YouTube.\",\n", " model=model,\n", " tools=env_tools\n", " + [\n", " speech_recognition_tool,\n", " YoutubeVideoTool(\n", " client=model.client,\n", " speech_recognition_tool=speech_recognition_tool,\n", " frames_interval=3,\n", " chunk_duration=60,\n", " debug=True,\n", " ),\n", " ClassifierTool(\n", " client=model.client,\n", " model_id=\"gpt-4.1-mini\",\n", " ),\n", " ],\n", " logger=logger,\n", " step_callbacks=[capture_step_log],\n", " ),\n", " ToolCallingAgent(\n", " name=\"web_researcher\",\n", " description=\"Answers questions that require grounding in unknown information through web search, sites, and other online resources (e.g. wikipedia.org, arxiv.org, etc.).\",\n", " tools=env_tools\n", " + [\n", " GoogleSearchTool(),\n", " GoogleSiteSearchTool(),\n", " ContentRetrieverTool(),\n", " ],\n", " model=model,\n", " planning_interval=3,\n", " max_steps=9,\n", " logger=logger,\n", " step_callbacks=[capture_step_log],\n", " ),\n", " CodeAgent(\n", " name=\"data_analyst\",\n", " description=\"Data analyst with advanced skills in statistic, handling tabular data and related Python packages.\",\n", " tools=env_tools,\n", " additional_authorized_imports=[\n", " \"numpy\",\n", " \"pandas\",\n", " \"tabulate\",\n", " \"matplotlib\",\n", " \"seaborn\",\n", " ],\n", " model=model,\n", " logger=logger,\n", " step_callbacks=[capture_step_log],\n", " ),\n", " CodeAgent(\n", " name=\"chess_player\",\n", " description=\"Chess grandmaster empowered by chess engine. Always thinks at least 100 steps ahead.\",\n", " tools=env_tools\n", " + [\n", " ImageToChessBoardFENTool(client=model.client),\n", " chess_engine_locator,\n", " ],\n", " additional_authorized_imports=[\n", " \"chess\",\n", " \"chess.engine\",\n", " ],\n", " model=model,\n", " logger=logger,\n", " step_callbacks=[capture_step_log],\n", " ),\n", " ]\n", "}\n", "\n", "\n", "class GAIATask(TypedDict):\n", " task_id: Optional[str | None] = None\n", " question: str\n", " steps: list[str] = []\n", " agent: Optional[str | None] = None\n", " raw_answer: Optional[str | None] = None\n", " final_answer: Optional[str | None] = None\n", "\n", "\n", "llm = ChatOpenAI(model=\"gpt-4.1\")\n", "logger = AgentLogger(level=verbosity)\n", "\n", "\n", "@backoff.on_exception(backoff.expo, openai.RateLimitError, max_time=60, max_tries=6)\n", "def llm_invoke_with_retry(messages):\n", " response = llm.invoke(messages)\n", " return response\n", "\n", "\n", "def read_question(state: GAIATask):\n", " logger.log_task(\n", " content=state[\"question\"].strip(),\n", " subtitle=f\"LangGraph with {type(llm).__name__} - {llm.model_name}\",\n", " level=LogLevel.INFO,\n", " title=\"Final Assignment Agent for Hugging Face Agents Course\",\n", " )\n", " get_attachment_tool.attachment_for(state[\"task_id\"])\n", "\n", " return {\n", " \"steps\": [],\n", " \"agent\": None,\n", " \"raw_answer\": None,\n", " \"final_answer\": None,\n", " }\n", "\n", "\n", "def select_agent(state: GAIATask):\n", " agents_description = \"\\n\\n\".join(\n", " [\n", " f\"AGENT NAME: {a.name}\\nAGENT DESCRIPTION: {a.description}\"\n", " for a in agents.values()\n", " ]\n", " )\n", "\n", " prompt = f\"\"\"\\\n", "You are a general AI assistant.\n", "\n", "I will provide you a question and a list of agents with their descriptions.\n", "Your task is to select the most appropriate agent to answer the question.\n", "You can select one of the agents or decide that no agent is needed.\n", "\n", "If question has attachment only agent can answer it.\n", "\n", "QUESTION:\n", "{state[\"question\"]}\n", "\n", "{agents_description}\n", "\n", "Now, return the name of the agent you selected or \"no agent needed\" if you think that no agent is needed.\n", "\"\"\"\n", "\n", " response = llm_invoke_with_retry([HumanMessage(content=prompt)])\n", " agent_name = response.content.strip()\n", "\n", " if agent_name in agents:\n", " logger.log(\n", " f\"Agent {agent_name} selected for solving the task.\",\n", " level=LogLevel.DEBUG,\n", " )\n", " return {\n", " \"agent\": agent_name,\n", " \"steps\": state.get(\"steps\", [])\n", " + [\n", " f\"Agent '{agent_name}' selected for task execution.\",\n", " ],\n", " }\n", " elif agent_name == \"no agent needed\":\n", " logger.log(\n", " \"No appropriate agent found in the list. No agent will be used.\",\n", " level=LogLevel.DEBUG,\n", " )\n", " return {\n", " \"agent\": None,\n", " \"steps\": state.get(\"steps\", [])\n", " + [\n", " \"A decision is made to solve the task directly without invoking any agent.\",\n", " ],\n", " }\n", " else:\n", " logger.log(\n", " f\"[bold red]Warning to user: Unexpected agent name '{agent_name}' selected. No agent will be used.[/bold red]\",\n", " level=LogLevel.INFO,\n", " )\n", " return {\n", " \"agent\": None,\n", " \"steps\": state.get(\"steps\", [])\n", " + [\n", " f\"Attempt to select non-existing agent '{agent_name}'. No agent will be used.\",\n", " ],\n", " }\n", "\n", "\n", "def delegate_to_agent(state: GAIATask):\n", " agent_name = state.get(\"agent\", None)\n", " if not agent_name:\n", " raise ValueError(\"Agent not selected.\")\n", " if agent_name not in agents:\n", " raise ValueError(f\"Agent '{agent_name}' is not available.\")\n", "\n", " logger.log(\n", " Panel(Text(f\"Calling agent: {agent_name}.\")),\n", " level=LogLevel.INFO,\n", " )\n", "\n", " agent = agents[agent_name]\n", " agent_answer = agent.run(task=state[\"question\"])\n", " steps = [f\"Agent '{agent_name}' step:\\n{s}\" for s in steps_buffer]\n", " steps_buffer.clear()\n", " return {\n", " \"raw_answer\": agent_answer,\n", " \"steps\": state.get(\"steps\", []) + steps,\n", " }\n", "\n", "\n", "def one_shot_answering(state: GAIATask):\n", " response = llm_invoke_with_retry([HumanMessage(content=state.get(\"question\"))])\n", " return {\n", " \"raw_answer\": response.content,\n", " \"steps\": state.get(\"steps\", [])\n", " + [\n", " f\"One-shot answer:\\n{response.content}\",\n", " ],\n", " }\n", "\n", "\n", "def refine_answer(state: GAIATask):\n", " question = state.get(\"question\")\n", " answer = state.get(\"raw_answer\", None)\n", " if not answer:\n", " return {\"final_answer\": \"No answer.\"}\n", "\n", " prompt = f\"\"\"\\\n", "You are a general AI assistant.\n", "\n", "I will provide you a question and correct answer to it. Answer is correct but may be too verbose or not follow the rules below.\n", "Your task is to rephrase answer according to rules below.\n", "\n", "Answer should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. \n", "\n", "If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. \n", "If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. \n", "If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.\n", "\n", "If you are asked for a comma separated list, use space after comma and before next element of the list unless other directly specified in a question.\n", "Check question context to define if letters case matters. Do not change case if not prescribed by other rules or question.\n", "If you are not asked for the list, capitalize the first letter of the answer unless it changes meaning of the answer.\n", "If answer is number, use digits only not words unless other directly specified in a question.\n", "If answer is not full sentence, do not add period at the end.\n", "\n", "Preserve all items if the answer is a list.\n", "\n", "QUESTION:\n", "{question}\n", "\n", "ANSWER:\n", "{answer}\n", "\"\"\"\n", " response = llm_invoke_with_retry([HumanMessage(content=prompt)])\n", " refined_answer = response.content.strip()\n", " logger.log(\n", " Text(f\"GAIA final answer: {refined_answer}\", style=\"bold #d4b702\"),\n", " level=LogLevel.INFO,\n", " )\n", " return {\n", " \"final_answer\": refined_answer,\n", " \"steps\": state.get(\"steps\", [])\n", " + [\n", " \"Refining the answer according to GAIA benchmark rules.\",\n", " f\"FINAL ANSWER: {response.content}\",\n", " ],\n", " }\n", "\n", "\n", "def route_task(state: GAIATask) -> str:\n", " if state.get(\"agent\") in agents:\n", " return \"agent selected\"\n", " else:\n", " return \"no agent matched\"\n", "\n", "\n", "# Create the graph\n", "gaia_graph = StateGraph(GAIATask)\n", "\n", "# Add nodes\n", "gaia_graph.add_node(\"read_question\", read_question)\n", "gaia_graph.add_node(\"select_agent\", select_agent)\n", "gaia_graph.add_node(\"delegate_to_agent\", delegate_to_agent)\n", "gaia_graph.add_node(\"one_shot_answering\", one_shot_answering)\n", "gaia_graph.add_node(\"refine_answer\", refine_answer)\n", "\n", "# Start the edges\n", "gaia_graph.add_edge(START, \"read_question\")\n", "# Add edges - defining the flow\n", "gaia_graph.add_edge(\"read_question\", \"select_agent\")\n", "\n", "# Add conditional branching from select_agent\n", "gaia_graph.add_conditional_edges(\n", " \"select_agent\",\n", " route_task,\n", " {\"agent selected\": \"delegate_to_agent\", \"no agent matched\": \"one_shot_answering\"},\n", ")\n", "\n", "# Add the final edges\n", "gaia_graph.add_edge(\"delegate_to_agent\", \"refine_answer\")\n", "gaia_graph.add_edge(\"one_shot_answering\", \"refine_answer\")\n", "gaia_graph.add_edge(\"refine_answer\", END)\n", "\n", "gaia = gaia_graph.compile()\n", "display(Image(gaia.get_graph().draw_mermaid_png()))" ] }, { "cell_type": "markdown", "id": "2a22ee8c", "metadata": {}, "source": [ "### Simple Task" ] }, { "cell_type": "code", "execution_count": 139, "id": "00b4eef1", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
╭──────────────────────── New run - Final Assignment Agent for Hugging Face Agents Course ────────────────────────╮\n",
       "│                                                                                                                 │\n",
       "│ .rewsna eht sa \"tfel\" drow eht fo etisoppo eht etirw ,ecnetnes siht dnatsrednu uoy fI                           │\n",
       "│                                                                                                                 │\n",
       "╰─ LangGraph with ChatOpenAI - gpt-4.1 ───────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run - Final Assignment Agent for Hugging Face Agents Course\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m.rewsna eht sa \"tfel\" drow eht fo etisoppo eht etirw ,ecnetnes siht dnatsrednu uoy fI\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m LangGraph with ChatOpenAI - gpt-4.1 \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Agent general_assistant selected for solving the task.\n",
       "
\n" ], "text/plain": [ "Agent general_assistant selected for solving the task.\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling agent: general_assistant.                                                                               │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling agent: general_assistant. │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭────────────────────────────────────────── New run - general_assistant ──────────────────────────────────────────╮\n",
       "│                                                                                                                 │\n",
       "│ .rewsna eht sa \"tfel\" drow eht fo etisoppo eht etirw ,ecnetnes siht dnatsrednu uoy fI                           │\n",
       "│                                                                                                                 │\n",
       "╰─ OpenAIServerModel - gpt-4.1 ───────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run - general_assistant\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m.rewsna eht sa \"tfel\" drow eht fo etisoppo eht etirw ,ecnetnes siht dnatsrednu uoy fI\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m OpenAIServerModel - gpt-4.1 \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "ChatCompletion(id='chatcmpl-BYjvLVkiwtz0kUmHZuFjyvOzpL1iE', choices=[Choice(finish_reason='tool_calls', index=0,   \n",
       "logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', annotations=[],         \n",
       "audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_zmqbMbJMNOLkf6R5fZG9QB7o',      \n",
       "function=Function(arguments='{\"answer\":\"right\"}', name='final_answer'), type='function')]))], created=1747619383,  \n",
       "model='gpt-4.1-2025-04-14', object='chat.completion', service_tier='default', system_fingerprint='fp_a1102cf978',  \n",
       "usage=CompletionUsage(completion_tokens=14, prompt_tokens=1642, total_tokens=1656,                                 \n",
       "completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0,\n",
       "rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=1536)))     \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mChatCompletion(id='chatcmpl-BYjvLVkiwtz0kUmHZuFjyvOzpL1iE',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchoices=[Choice(finish_reason='tool_calls',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mindex=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mlogprobs=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmessage=ChatCompletionMessage(content=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrefusal=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrole='assistant',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mannotations=[],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23maudio=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfunction_call=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtool_calls=[ChatCompletionMessageToolCall(id='call_zmqbMbJMNOLkf6R5fZG9QB7o',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfunction=Function(arguments='{\"answer\":\"right\"}',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mname='final_answer'),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtype='function')]))],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcreated=1747619383,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mmodel='gpt-4.1-2025-04-14',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mobject='chat.completion',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mservice_tier='default',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msystem_fingerprint='fp_a1102cf978',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23musage=CompletionUsage(completion_tokens=14,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens=1642,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtotal_tokens=1656,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcompletion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23maudio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mreasoning_tokens=0,\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mrejected_prediction_tokens=0),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens_details=PromptTokensDetails(audio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcached_tokens=1536)))\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling tool: 'final_answer' with arguments: {'answer': 'right'}                                                │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling tool: 'final_answer' with arguments: {'answer': 'right'} │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Final answer: right\n",
       "
\n" ], "text/plain": [ "\u001b[1;38;2;212;183;2mFinal answer: right\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 1: Duration 0.81 seconds| Input tokens: 1,642 | Output tokens: 14]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 1: Duration 0.81 seconds| Input tokens: 1,642 | Output tokens: 14]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
GAIA final answer: Right\n",
       "
\n" ], "text/plain": [ "\u001b[1;38;2;212;183;2mGAIA final answer: Right\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Right\n" ] } ], "source": [ "task = gaia.invoke(\n", " {\n", " \"task_id\": \"2d83110e-a098-4ebb-9987-066c06fa42d0\",\n", " \"question\": '.rewsna eht sa \"tfel\" drow eht fo etisoppo eht etirw ,ecnetnes siht dnatsrednu uoy fI',\n", " }\n", ")\n", "\n", "print(task[\"final_answer\"])" ] }, { "cell_type": "code", "execution_count": 140, "id": "1b2fe5f6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Agent 'general_assistant' selected for task execution.\n", "Agent 'general_assistant' step:\n", "╭────────────────────────────────────────── New run - general_assistant ──────────────────────────────────────────╮\n", "│ │\n", "│ .rewsna eht sa \"tfel\" drow eht fo etisoppo eht etirw ,ecnetnes siht dnatsrednu uoy fI │\n", "│ │\n", "╰─ OpenAIServerModel - gpt-4.1 ───────────────────────────────────────────────────────────────────────────────────╯\n", "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n", "Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n", "ChatCompletion(id='chatcmpl-BYjvLVkiwtz0kUmHZuFjyvOzpL1iE', choices=[Choice(finish_reason='tool_calls', index=0, \n", "logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', annotations=[], \n", "audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_zmqbMbJMNOLkf6R5fZG9QB7o', \n", "function=Function(arguments='{\"answer\":\"right\"}', name='final_answer'), type='function')]))], created=1747619383, \n", "model='gpt-4.1-2025-04-14', object='chat.completion', service_tier='default', system_fingerprint='fp_a1102cf978', \n", "usage=CompletionUsage(completion_tokens=14, prompt_tokens=1642, total_tokens=1656, \n", "completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0,\n", "rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=1536))) \n", "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling tool: 'final_answer' with arguments: {'answer': 'right'} │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n", "Final answer: right\n", "\n", "Refining the answer according to GAIA benchmark rules.\n", "FINAL ANSWER: Right\n" ] } ], "source": [ "print(\"\\n\".join(task[\"steps\"]))" ] }, { "cell_type": "markdown", "id": "57185175", "metadata": {}, "source": [ "### Audition" ] }, { "cell_type": "code", "execution_count": null, "id": "34743074", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
╭──────────────────────── New run - Final Assignment Agent for Hugging Face Agents Course ────────────────────────╮\n",
       "│                                                                                                                 │\n",
       "│ Hi, I was out sick from my classes on Friday, so I'm trying to figure out what I need to study for my Calculus  │\n",
       "│ mid-term next week. My friend from class sent me an audio recording of Professor Willowbrook giving out the     │\n",
       "│ recommended reading for the test, but my headphones are broken :(                                               │\n",
       "│ Could you please listen to the recording for me and tell me the page numbers I'm supposed to go over? I've      │\n",
       "│ attached a file called Homework.mp3 that has the recording. Please provide just the page numbers as a           │\n",
       "│ comma-delimited list. And please provide the list in ascending order.                                           │\n",
       "│                                                                                                                 │\n",
       "╰─ LangGraph with ChatOpenAI - gpt-4.1 ───────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run - Final Assignment Agent for Hugging Face Agents Course\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mHi, I was out sick from my classes on Friday, so I'm trying to figure out what I need to study for my Calculus \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mmid-term next week. My friend from class sent me an audio recording of Professor Willowbrook giving out the \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mrecommended reading for the test, but my headphones are broken :(\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mCould you please listen to the recording for me and tell me the page numbers I'm supposed to go over? I've \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mattached a file called Homework.mp3 that has the recording. Please provide just the page numbers as a \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mcomma-delimited list. And please provide the list in ascending order.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m LangGraph with ChatOpenAI - gpt-4.1 \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Agent general_assistant selected for solving the task.\n",
       "
\n" ], "text/plain": [ "Agent general_assistant selected for solving the task.\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling agent: general_assistant.                                                                               │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling agent: general_assistant. │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭────────────────────────────────────────── New run - general_assistant ──────────────────────────────────────────╮\n",
       "│                                                                                                                 │\n",
       "│ Hi, I was out sick from my classes on Friday, so I'm trying to figure out what I need to study for my Calculus  │\n",
       "│ mid-term next week. My friend from class sent me an audio recording of Professor Willowbrook giving out the     │\n",
       "│ recommended reading for the test, but my headphones are broken :(                                               │\n",
       "│ Could you please listen to the recording for me and tell me the page numbers I'm supposed to go over? I've      │\n",
       "│ attached a file called Homework.mp3 that has the recording. Please provide just the page numbers as a           │\n",
       "│ comma-delimited list. And please provide the list in ascending order.                                           │\n",
       "│                                                                                                                 │\n",
       "╰─ OpenAIServerModel - gpt-4.1 ───────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run - general_assistant\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mHi, I was out sick from my classes on Friday, so I'm trying to figure out what I need to study for my Calculus \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mmid-term next week. My friend from class sent me an audio recording of Professor Willowbrook giving out the \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mrecommended reading for the test, but my headphones are broken :(\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mCould you please listen to the recording for me and tell me the page numbers I'm supposed to go over? I've \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mattached a file called Homework.mp3 that has the recording. Please provide just the page numbers as a \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mcomma-delimited list. And please provide the list in ascending order.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m OpenAIServerModel - gpt-4.1 \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "ChatCompletion(id='chatcmpl-BYgJZ44IK37hFqLu8WIkfibgn6XeA', choices=[Choice(finish_reason='tool_calls', index=0,   \n",
       "logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', annotations=[],         \n",
       "audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_9PpigTiIoaLbSBcb9GYNMgKs',      \n",
       "function=Function(arguments='{\"fmt\":\"URL\"}', name='get_attachment'), type='function')]))], created=1747605509,     \n",
       "model='gpt-4.1-2025-04-14', object='chat.completion', service_tier='default', system_fingerprint='fp_a1102cf978',  \n",
       "usage=CompletionUsage(completion_tokens=14, prompt_tokens=1467, total_tokens=1481,                                 \n",
       "completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0,\n",
       "rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=1280)))     \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mChatCompletion(id='chatcmpl-BYgJZ44IK37hFqLu8WIkfibgn6XeA',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchoices=[Choice(finish_reason='tool_calls',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mindex=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mlogprobs=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmessage=ChatCompletionMessage(content=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrefusal=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrole='assistant',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mannotations=[],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23maudio=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfunction_call=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtool_calls=[ChatCompletionMessageToolCall(id='call_9PpigTiIoaLbSBcb9GYNMgKs',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfunction=Function(arguments='{\"fmt\":\"URL\"}',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mname='get_attachment'),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtype='function')]))],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcreated=1747605509,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mmodel='gpt-4.1-2025-04-14',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mobject='chat.completion',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mservice_tier='default',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msystem_fingerprint='fp_a1102cf978',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23musage=CompletionUsage(completion_tokens=14,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens=1467,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtotal_tokens=1481,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcompletion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23maudio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mreasoning_tokens=0,\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mrejected_prediction_tokens=0),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens_details=PromptTokensDetails(audio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcached_tokens=1280)))\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling tool: 'get_attachment' with arguments: {'fmt': 'URL'}                                                   │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling tool: 'get_attachment' with arguments: {'fmt': 'URL'} │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Observations: https://agents-course-unit4-scoring.hf.space/files/1f975693-876d-457b-a649-393859e79bf3\n",
       "
\n" ], "text/plain": [ "Observations: \u001b[4;94mhttps://agents-course-unit4-scoring.hf.space/files/1f975693-876d-457b-a649-393859e79bf3\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 1: Duration 0.77 seconds| Input tokens: 1,467 | Output tokens: 14]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 1: Duration 0.77 seconds| Input tokens: 1,467 | Output tokens: 14]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "ChatCompletion(id='chatcmpl-BYgJZNWWc3ToR6evhCONLb98XQ6Jh', choices=[Choice(finish_reason='tool_calls', index=0,   \n",
       "logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', annotations=[],         \n",
       "audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_JoBscGkijsGND0tytnbSVKzJ',      \n",
       "function=Function(arguments='{\"audio\":\"https://agents-course-unit4-scoring.hf.space/files/1f975693-876d-457b-a649-3\n",
       "93859e79bf3\"}', name='speech_to_text'), type='function')]))], created=1747605509, model='gpt-4.1-2025-04-14',      \n",
       "object='chat.completion', service_tier='default', system_fingerprint='fp_a1102cf978',                              \n",
       "usage=CompletionUsage(completion_tokens=47, prompt_tokens=1576, total_tokens=1623,                                 \n",
       "completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0,\n",
       "rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=1408)))     \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mChatCompletion(id='chatcmpl-BYgJZNWWc3ToR6evhCONLb98XQ6Jh',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchoices=[Choice(finish_reason='tool_calls',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mindex=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mlogprobs=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmessage=ChatCompletionMessage(content=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrefusal=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrole='assistant',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mannotations=[],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23maudio=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfunction_call=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtool_calls=[ChatCompletionMessageToolCall(id='call_JoBscGkijsGND0tytnbSVKzJ',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfunction=Function(arguments='{\"audio\":\"https://agents-course-unit4-scoring.hf.space/files/1f975693-876d-457b-a649-3\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m93859e79bf3\"}',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mname='speech_to_text'),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtype='function')]))],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcreated=1747605509,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmodel='gpt-4.1-2025-04-14',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mobject='chat.completion',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mservice_tier='default',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msystem_fingerprint='fp_a1102cf978',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23musage=CompletionUsage(completion_tokens=47,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens=1576,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtotal_tokens=1623,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcompletion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23maudio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mreasoning_tokens=0,\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mrejected_prediction_tokens=0),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens_details=PromptTokensDetails(audio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcached_tokens=1408)))\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling tool: 'speech_to_text' with arguments: {'audio':                                                        │\n",
       "│ 'https://agents-course-unit4-scoring.hf.space/files/1f975693-876d-457b-a649-393859e79bf3'}                      │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling tool: 'speech_to_text' with arguments: {'audio': │\n", "│ 'https://agents-course-unit4-scoring.hf.space/files/1f975693-876d-457b-a649-393859e79bf3'} │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Observations: Before you all go, I want to remind you that the midterm is next week. Here's a little hint. You \n",
       "should be familiar with the differential equations on page 245. Problems that are very similar to problems 32, 33 \n",
       "and 44 from that page might be on the test. And also some of you might want to brush up on the last page in the \n",
       "integration section, page 197. I know some of you struggled on last week's quiz. I foresee problem 22 from page 197\n",
       "being on your midterm. Oh, and don't forget to brush up on the section on related rates on pages 132, 133 and 134.\n",
       "
\n" ], "text/plain": [ "Observations: Before you all go, I want to remind you that the midterm is next week. Here's a little hint. You \n", "should be familiar with the differential equations on page \u001b[1;36m245\u001b[0m. Problems that are very similar to problems \u001b[1;36m32\u001b[0m, \u001b[1;36m33\u001b[0m \n", "and \u001b[1;36m44\u001b[0m from that page might be on the test. And also some of you might want to brush up on the last page in the \n", "integration section, page \u001b[1;36m197\u001b[0m. I know some of you struggled on last week's quiz. I foresee problem \u001b[1;36m22\u001b[0m from page \u001b[1;36m197\u001b[0m\n", "being on your midterm. Oh, and don't forget to brush up on the section on related rates on pages \u001b[1;36m132\u001b[0m, \u001b[1;36m133\u001b[0m and \u001b[1;36m134\u001b[0m.\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 2: Duration 19.51 seconds| Input tokens: 3,043 | Output tokens: 61]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 2: Duration 19.51 seconds| Input tokens: 3,043 | Output tokens: 61]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "ChatCompletion(id='chatcmpl-BYgJtouaCS3geJuwBt0QfCoRt0R22', choices=[Choice(finish_reason='tool_calls', index=0,   \n",
       "logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', annotations=[],         \n",
       "audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_URc3thUp4X7vjePdBRSy2Oyw',      \n",
       "function=Function(arguments='{\"answer\":\"132,133,134,197,245\"}', name='final_answer'), type='function')]))],        \n",
       "created=1747605529, model='gpt-4.1-2025-04-14', object='chat.completion', service_tier='default',                  \n",
       "system_fingerprint='fp_a1102cf978', usage=CompletionUsage(completion_tokens=22, prompt_tokens=1853,                \n",
       "total_tokens=1875, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, \n",
       "reasoning_tokens=0, rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0,       \n",
       "cached_tokens=1536)))                                                                                              \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mChatCompletion(id='chatcmpl-BYgJtouaCS3geJuwBt0QfCoRt0R22',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchoices=[Choice(finish_reason='tool_calls',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mindex=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mlogprobs=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmessage=ChatCompletionMessage(content=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrefusal=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrole='assistant',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mannotations=[],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23maudio=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfunction_call=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtool_calls=[ChatCompletionMessageToolCall(id='call_URc3thUp4X7vjePdBRSy2Oyw',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfunction=Function(arguments='{\"answer\":\"132,133,134,197,245\"}',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mname='final_answer'),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtype='function')]))],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcreated=1747605529,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmodel='gpt-4.1-2025-04-14',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mobject='chat.completion',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mservice_tier='default',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23msystem_fingerprint='fp_a1102cf978',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23musage=CompletionUsage(completion_tokens=22,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens=1853,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mtotal_tokens=1875,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcompletion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23maudio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mreasoning_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrejected_prediction_tokens=0),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens_details=PromptTokensDetails(audio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcached_tokens=1536)))\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling tool: 'final_answer' with arguments: {'answer': '132,133,134,197,245'}                                  │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling tool: 'final_answer' with arguments: {'answer': '132,133,134,197,245'} │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Final answer: 132,133,134,197,245\n",
       "
\n" ], "text/plain": [ "\u001b[1;38;2;212;183;2mFinal answer: 132,133,134,197,245\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 3: Duration 1.00 seconds| Input tokens: 4,896 | Output tokens: 83]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 3: Duration 1.00 seconds| Input tokens: 4,896 | Output tokens: 83]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
GAIA final answer: 132, 133, 134, 197, 245\n",
       "
\n" ], "text/plain": [ "\u001b[1;38;2;212;183;2mGAIA final answer: 132, 133, 134, 197, 245\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gaia.invoke(\n", " {\n", " \"task_id\": \"1f975693-876d-457b-a649-393859e79bf3\",\n", " \"question\": \"\"\"\\\n", "Hi, I was out sick from my classes on Friday, so I'm trying to figure out what I need to study for my Calculus mid-term next week. My friend from class sent me an audio recording of Professor Willowbrook giving out the recommended reading for the test, but my headphones are broken :(\n", "Could you please listen to the recording for me and tell me the page numbers I'm supposed to go over? I've attached a file called Homework.mp3 that has the recording. Please provide just the page numbers as a comma-delimited list. And please provide the list in ascending order.\n", "\"\"\",\n", " }\n", ");" ] }, { "cell_type": "markdown", "id": "33d3e8b8", "metadata": {}, "source": [ "### YouTube Video" ] }, { "cell_type": "code", "execution_count": null, "id": "b2c8126a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
╭──────────────────────── New run - Final Assignment Agent for Hugging Face Agents Course ────────────────────────╮\n",
       "│                                                                                                                 │\n",
       "│ Examine the video at https://www.youtube.com/watch?v=1htKBjuUWec. What does Teal'c say in response to the       │\n",
       "│ question \"Isn't that hot?\"                                                                                      │\n",
       "│                                                                                                                 │\n",
       "╰─ LangGraph with ChatOpenAI - gpt-4.1 ───────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run - Final Assignment Agent for Hugging Face Agents Course\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mExamine the video at https://www.youtube.com/watch?v=1htKBjuUWec. What does Teal'c say in response to the \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mquestion \"Isn't that hot?\"\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m LangGraph with ChatOpenAI - gpt-4.1 \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Agent general_assistant selected for solving the task.\n",
       "
\n" ], "text/plain": [ "Agent general_assistant selected for solving the task.\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling agent: general_assistant.                                                                               │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling agent: general_assistant. │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭────────────────────────────────────────── New run - general_assistant ──────────────────────────────────────────╮\n",
       "│                                                                                                                 │\n",
       "│ Examine the video at https://www.youtube.com/watch?v=1htKBjuUWec. What does Teal'c say in response to the       │\n",
       "│ question \"Isn't that hot?\"                                                                                      │\n",
       "│                                                                                                                 │\n",
       "╰─ OpenAIServerModel - gpt-4.1 ───────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run - general_assistant\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mExamine the video at https://www.youtube.com/watch?v=1htKBjuUWec. What does Teal'c say in response to the \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mquestion \"Isn't that hot?\"\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m OpenAIServerModel - gpt-4.1 \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "ChatCompletion(id='chatcmpl-BYb6BYZz3k5msbNrTIgTph9BQ23PD', choices=[Choice(finish_reason='tool_calls', index=0,   \n",
       "logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', annotations=[],         \n",
       "audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_Wwp85lpzyG8Fol0lvUtJ5t2j',      \n",
       "function=Function(arguments='{\"url\":\"https://www.youtube.com/watch?v=1htKBjuUWec\",\"query\":\"What does Teal\\'c say in\n",
       "response to the question \\'Isn\\'t that hot?\\'\"}', name='youtube_video'), type='function')]))], created=1747585459, \n",
       "model='gpt-4.1-2025-04-14', object='chat.completion', service_tier='default', system_fingerprint='fp_a1102cf978',  \n",
       "usage=CompletionUsage(completion_tokens=48, prompt_tokens=1388, total_tokens=1436,                                 \n",
       "completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0,\n",
       "rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=1280)))     \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mChatCompletion(id='chatcmpl-BYb6BYZz3k5msbNrTIgTph9BQ23PD',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchoices=[Choice(finish_reason='tool_calls',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mindex=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mlogprobs=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmessage=ChatCompletionMessage(content=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrefusal=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrole='assistant',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mannotations=[],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23maudio=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfunction_call=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtool_calls=[ChatCompletionMessageToolCall(id='call_Wwp85lpzyG8Fol0lvUtJ5t2j',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfunction=Function(arguments='{\"url\":\"https://www.youtube.com/watch?v=1htKBjuUWec\",\"query\":\"What\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdoes\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mTeal\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\\'\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mc\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msay\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23min\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mresponse\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mquestion\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\\'\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mIsn\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\\'\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mt\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthat\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mhot?\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\\'\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"}',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mname='youtube_video'),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtype='function')]))],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcreated=1747585459,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mmodel='gpt-4.1-2025-04-14',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mobject='chat.completion',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mservice_tier='default',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msystem_fingerprint='fp_a1102cf978',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23musage=CompletionUsage(completion_tokens=48,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens=1388,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtotal_tokens=1436,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcompletion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23maudio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mreasoning_tokens=0,\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mrejected_prediction_tokens=0),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens_details=PromptTokensDetails(audio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcached_tokens=1280)))\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling tool: 'youtube_video' with arguments: {'url': 'https://www.youtube.com/watch?v=1htKBjuUWec', 'query':   │\n",
       "│ \"What does Teal'c say in response to the question 'Isn't that hot?'\"}                                           │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling tool: 'youtube_video' with arguments: {'url': 'https://www.youtube.com/watch?v=1htKBjuUWec', 'query': │\n", "│ \"What does Teal'c say in response to the question 'Isn't that hot?'\"} │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "CHUNK 0.0 - 29:\n", "\n", "These are some frames of a video that I want to upload.\n", "I will ask a question about the entire video, but I will only last part of it.\n", "Aggregate answer about the entire video, use information about previous parts but do not reference the previous parts in the answer directly.\n", "\n", "Ground your answer based on video title, description, captions, vide frames or answer from previous parts.\n", "If no evidences presented just say \"I need to keep watching\".\n", "\n", "VIDEO TITLE:\n", "Teal'c coffee first time\n", "\n", "VIDEO DESCRIPTION:\n", "havej eow-yu seene totawa t teal ;;c;c;c does??\n", "\n", "FRAMES SUBTITLES:\n", "Wow this coffee's great I was just\n", "Wow this coffee's great I was just\n", "thinking that\n", "thinking that\n", "thinking that\n", "yeah is that cinnamon chicory\n", "isn't that hot\n", "isn't that hot\n", "extremely\n", "\n", " \n", "QUESTION:\n", "What does Teal'c say in response to the question 'Isn't that hot?'\n", "\n", "ANSWER:\n", "Teal'c responds to the question \"Isn't that hot?\" by saying, \"Extremely.\"\n" ] }, { "data": { "text/html": [ "
Observations: Teal'c responds to the question \"Isn't that hot?\" by saying, \"Extremely.\"\n",
       "
\n" ], "text/plain": [ "Observations: Teal'c responds to the question \u001b[32m\"Isn't that hot?\"\u001b[0m by saying, \u001b[32m\"Extremely.\"\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 1: Duration 8.08 seconds| Input tokens: 1,388 | Output tokens: 48]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 1: Duration 8.08 seconds| Input tokens: 1,388 | Output tokens: 48]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "ChatCompletion(id='chatcmpl-BYb6JCQvzLRmTv3ITKTLxSe0CvtkP', choices=[Choice(finish_reason='tool_calls', index=0,   \n",
       "logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', annotations=[],         \n",
       "audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_XKn7YHocuwcMZGxDRWGgljUr',      \n",
       "function=Function(arguments='{\"answer\":\"Teal\\'c responds to the question \\\\\"Isn\\'t that hot?\\\\\" by saying,         \n",
       "\\\\\"Extremely.\\\\\"\"}', name='final_answer'), type='function')]))], created=1747585467, model='gpt-4.1-2025-04-14',   \n",
       "object='chat.completion', service_tier='default', system_fingerprint='fp_a1102cf978',                              \n",
       "usage=CompletionUsage(completion_tokens=35, prompt_tokens=1561, total_tokens=1596,                                 \n",
       "completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0,\n",
       "rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=1408)))     \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mChatCompletion(id='chatcmpl-BYb6JCQvzLRmTv3ITKTLxSe0CvtkP',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchoices=[Choice(finish_reason='tool_calls',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mindex=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mlogprobs=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmessage=ChatCompletionMessage(content=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrefusal=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrole='assistant',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mannotations=[],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23maudio=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfunction_call=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtool_calls=[ChatCompletionMessageToolCall(id='call_XKn7YHocuwcMZGxDRWGgljUr',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfunction=Function(arguments='{\"answer\":\"Teal\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\\'\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mc\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mresponds\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mquestion\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\\\\\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"Isn\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\\'\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mt\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthat\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mhot?\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\\\\\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mby\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msaying,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m\\\\\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"Extremely.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\\\\\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"\"}',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mname='final_answer'),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtype='function')]))],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcreated=1747585467,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmodel='gpt-4.1-2025-04-14',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mobject='chat.completion',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mservice_tier='default',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msystem_fingerprint='fp_a1102cf978',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23musage=CompletionUsage(completion_tokens=35,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens=1561,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtotal_tokens=1596,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcompletion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23maudio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mreasoning_tokens=0,\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mrejected_prediction_tokens=0),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens_details=PromptTokensDetails(audio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcached_tokens=1408)))\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling tool: 'final_answer' with arguments: {'answer': 'Teal\\'c responds to the question \"Isn\\'t that hot?\" by │\n",
       "│ saying, \"Extremely.\"'}                                                                                          │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling tool: 'final_answer' with arguments: {'answer': 'Teal\\'c responds to the question \"Isn\\'t that hot?\" by │\n", "│ saying, \"Extremely.\"'} │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Final answer: Teal'c responds to the question \"Isn't that hot?\" by saying, \"Extremely.\"\n",
       "
\n" ], "text/plain": [ "\u001b[1;38;2;212;183;2mFinal answer: Teal'c responds to the question \"Isn't that hot?\" by saying, \"Extremely.\"\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 2: Duration 0.93 seconds| Input tokens: 2,949 | Output tokens: 83]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 2: Duration 0.93 seconds| Input tokens: 2,949 | Output tokens: 83]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
GAIA final answer: Extremely\n",
       "
\n" ], "text/plain": [ "\u001b[1;38;2;212;183;2mGAIA final answer: Extremely\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# gaia.invoke({\n", "# \"task_id\": \"a1e91b78-d3d8-4675-bb8d-62741b4b68a6\",\n", "# \"question\": \"In the video https://www.youtube.com/watch?v=L1vXCYZAYYM, what is the highest number of bird species to be on camera simultaneously?\"\n", "# });\n", "\n", "gaia.invoke(\n", " {\n", " \"task_id\": \"9d191bce-651d-4746-be2d-7ef8ecadb9c2\",\n", " \"question\": \"Examine the video at https://www.youtube.com/watch?v=1htKBjuUWec. What does Teal'c say in response to the question \\\"Isn't that hot?\\\"\",\n", " }\n", ");" ] }, { "cell_type": "markdown", "id": "f2f9b18d", "metadata": {}, "source": [ "### Data Analysis" ] }, { "cell_type": "code", "execution_count": null, "id": "39a622d7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
╭──────────────────────── New run - Final Assignment Agent for Hugging Face Agents Course ────────────────────────╮\n",
       "│                                                                                                                 │\n",
       "│ The attached Excel file contains the sales of menu items for a local fast-food chain. What were the total sales │\n",
       "│ that the chain made from food (not including drinks)? Express your answer in USD with two decimal places.       │\n",
       "│                                                                                                                 │\n",
       "╰─ LangGraph with ChatOpenAI - gpt-4.1 ───────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run - Final Assignment Agent for Hugging Face Agents Course\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mThe attached Excel file contains the sales of menu items for a local fast-food chain. What were the total sales\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mthat the chain made from food (not including drinks)? Express your answer in USD with two decimal places.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m LangGraph with ChatOpenAI - gpt-4.1 \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Agent data_analyst selected for solving the task.\n",
       "
\n" ], "text/plain": [ "Agent data_analyst selected for solving the task.\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling agent: data_analyst.                                                                                    │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling agent: data_analyst. │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭──────────────────────────────────────────── New run - data_analyst ─────────────────────────────────────────────╮\n",
       "│                                                                                                                 │\n",
       "│ The attached Excel file contains the sales of menu items for a local fast-food chain. What were the total sales │\n",
       "│ that the chain made from food (not including drinks)? Express your answer in USD with two decimal places.       │\n",
       "│                                                                                                                 │\n",
       "╰─ OpenAIServerModel - gpt-4.1 ───────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run - data_analyst\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mThe attached Excel file contains the sales of menu items for a local fast-food chain. What were the total sales\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mthat the chain made from food (not including drinks)? Express your answer in USD with two decimal places.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m OpenAIServerModel - gpt-4.1 \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "Thought: I need to access the attached Excel file, identify which items are food versus drinks, and sum the sales  \n",
       "for food items only. First, I will retrieve the file as a URL. Then, I will load the data and inspect its columns  \n",
       "to see how food/drinks are distinguished and to find the sales values.                                             \n",
       "                                                                                                                   \n",
       "Code:                                                                                                              \n",
       "```py                                                                                                              \n",
       "file_url = get_attachment(fmt=\"URL\")                                                                               \n",
       "print(file_url)                                                                                                    \n",
       "```<end_code>                                                                                                      \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mThought:\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mneed\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23maccess\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mattached\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mExcel\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfile,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23midentify\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwhich\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mitems\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mare\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfood\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mversus\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdrinks,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mand\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msum\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msales\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfor\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfood\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mitems\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23monly.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFirst,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwill\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mretrieve\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfile\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mas\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23ma\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mURL.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mThen,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwill\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mload\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdata\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mand\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23minspect\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mits\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcolumns\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msee\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mhow\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfood/drinks\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mare\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdistinguished\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mand\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfind\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msales\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mvalues.\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mCode:\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m```py\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfile_url\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mget_attachment(fmt=\"URL\")\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mprint(file_url)\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m```\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
 ─ Executing parsed code: ──────────────────────────────────────────────────────────────────────────────────────── \n",
       "  file_url = get_attachment(fmt=\"URL\")                                                                             \n",
       "  print(file_url)                                                                                                  \n",
       " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
       "
\n" ], "text/plain": [ " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n", " \u001b[38;2;248;248;242;48;2;39;40;34mfile_url\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mget_attachment\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfmt\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mURL\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfile_url\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Execution logs:\n",
       "https://agents-course-unit4-scoring.hf.space/files/7bd855d8-463d-4ed5-93ca-5fe35145f733\n",
       "\n",
       "Out: None\n",
       "
\n" ], "text/plain": [ "\u001b[1mExecution logs:\u001b[0m\n", "https://agents-course-unit4-scoring.hf.space/files/7bd855d8-463d-4ed5-93ca-5fe35145f733\n", "\n", "Out: None\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 1: Duration 2.55 seconds| Input tokens: 2,088 | Output tokens: 88]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 1: Duration 2.55 seconds| Input tokens: 2,088 | Output tokens: 88]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "Thought: Now that I have the URL of the Excel file, I will load the data using pandas and display the first few    \n",
       "rows. This will allow me to understand the structure of the data, identify relevant columns (such as item names,   \n",
       "categories, and sales amounts), and check how food items are distinguished from drinks.                            \n",
       "                                                                                                                   \n",
       "Code:                                                                                                              \n",
       "```py                                                                                                              \n",
       "import pandas as pd                                                                                                \n",
       "                                                                                                                   \n",
       "excel_file = file_url                                                                                              \n",
       "df = pd.read_excel(excel_file)                                                                                     \n",
       "print(df.head())                                                                                                   \n",
       "print(df.columns)                                                                                                  \n",
       "```<end_code>                                                                                                      \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mThought:\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mNow\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthat\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mhave\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mURL\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mof\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mExcel\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfile,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwill\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mload\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdata\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23musing\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mpandas\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mand\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdisplay\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfirst\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfew\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mrows.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mThis\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwill\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mallow\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mme\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23munderstand\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mstructure\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mof\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdata,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23midentify\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrelevant\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcolumns\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m(such\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mas\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mitem\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mnames,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcategories,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mand\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msales\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mamounts),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mand\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcheck\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mhow\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfood\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mitems\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mare\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdistinguished\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfrom\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdrinks.\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mCode:\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m```py\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mimport\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mpandas\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mas\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mpd\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mexcel_file\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfile_url\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mdf\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mpd.read_excel(excel_file)\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mprint(df.head())\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mprint(df.columns)\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m```\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
 ─ Executing parsed code: ──────────────────────────────────────────────────────────────────────────────────────── \n",
       "  import pandas as pd                                                                                              \n",
       "                                                                                                                   \n",
       "  excel_file = file_url                                                                                            \n",
       "  df = pd.read_excel(excel_file)                                                                                   \n",
       "  print(df.head())                                                                                                 \n",
       "  print(df.columns)                                                                                                \n",
       " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
       "
\n" ], "text/plain": [ " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n", " \u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpandas\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mas\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mexcel_file\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfile_url\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpd\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mread_excel\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mexcel_file\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mhead\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mcolumns\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Execution logs:\n",
       "    Location  Burgers  Hot Dogs  Salads  Fries  Ice Cream  Soda\n",
       "0  Pinebrook     1594      1999    2002   2005       1977  1980\n",
       "1   Wharvton     1983      2008    2014   2015       2017  2018\n",
       "2    Sagrada     2019      2022    2022   2023       2021  2019\n",
       "3  Algrimand     1958      1971    1982   1989       1998  2009\n",
       "4    Marztep     2015      2016    2018   2019       2021  2022\n",
       "Index(['Location', 'Burgers', 'Hot Dogs', 'Salads', 'Fries', 'Ice Cream',\n",
       "       'Soda'],\n",
       "      dtype='object')\n",
       "\n",
       "Out: None\n",
       "
\n" ], "text/plain": [ "\u001b[1mExecution logs:\u001b[0m\n", " Location Burgers Hot Dogs Salads Fries Ice Cream Soda\n", "0 Pinebrook 1594 1999 2002 2005 1977 1980\n", "1 Wharvton 1983 2008 2014 2015 2017 2018\n", "2 Sagrada 2019 2022 2022 2023 2021 2019\n", "3 Algrimand 1958 1971 1982 1989 1998 2009\n", "4 Marztep 2015 2016 2018 2019 2021 2022\n", "Index(['Location', 'Burgers', 'Hot Dogs', 'Salads', 'Fries', 'Ice Cream',\n", " 'Soda'],\n", " dtype='object')\n", "\n", "Out: None\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 2: Duration 3.14 seconds| Input tokens: 4,370 | Output tokens: 190]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 2: Duration 3.14 seconds| Input tokens: 4,370 | Output tokens: 190]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "Thought: The columns represent menu items, and each row represents a location. \"Soda\" appears to be the only drink;\n",
       "the rest (Burgers, Hot Dogs, Salads, Fries, Ice Cream) are food items. I will sum all values from the food columns,\n",
       "ignoring the \"Soda\" column, and return the total sales in USD (assuming the numbers are in USD already). I will    \n",
       "make sure to format the result to two decimal places.                                                              \n",
       "                                                                                                                   \n",
       "Code:                                                                                                              \n",
       "```py                                                                                                              \n",
       "food_columns = ['Burgers', 'Hot Dogs', 'Salads', 'Fries', 'Ice Cream']                                             \n",
       "total_food_sales = df[food_columns].sum().sum()                                                                    \n",
       "total_food_sales_usd = f\"{total_food_sales:.2f}\"                                                                   \n",
       "final_answer(f\"Total food sales: ${total_food_sales_usd} USD\")                                                     \n",
       "```<end_code>                                                                                                      \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mThought:\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mThe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcolumns\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrepresent\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmenu\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mitems,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mand\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23meach\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrow\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrepresents\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23ma\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mlocation.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"Soda\"\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mappears\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mbe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23monly\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdrink;\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrest\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m(Burgers,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mHot\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mDogs,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mSalads,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFries,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mIce\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mCream)\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mare\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfood\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mitems.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwill\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msum\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mall\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mvalues\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfrom\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfood\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcolumns,\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mignoring\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"Soda\"\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcolumn,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mand\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mreturn\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtotal\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msales\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23min\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mUSD\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m(assuming\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mnumbers\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mare\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23min\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mUSD\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23malready).\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwill\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mmake\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msure\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mformat\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mresult\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtwo\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdecimal\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mplaces.\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mCode:\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m```py\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfood_columns\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m['Burgers',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m'Hot\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mDogs',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m'Salads',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m'Fries',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m'Ice\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mCream']\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mtotal_food_sales\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdf[food_columns].sum().sum()\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mtotal_food_sales_usd\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mf\"{total_food_sales:.2f}\"\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfinal_answer(f\"Total\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfood\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msales:\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m${total_food_sales_usd}\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mUSD\")\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m```\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
 ─ Executing parsed code: ──────────────────────────────────────────────────────────────────────────────────────── \n",
       "  food_columns = ['Burgers', 'Hot Dogs', 'Salads', 'Fries', 'Ice Cream']                                           \n",
       "  total_food_sales = df[food_columns].sum().sum()                                                                  \n",
       "  total_food_sales_usd = f\"{total_food_sales:.2f}\"                                                                 \n",
       "  final_answer(f\"Total food sales: ${total_food_sales_usd} USD\")                                                   \n",
       " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
       "
\n" ], "text/plain": [ " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n", " \u001b[38;2;248;248;242;48;2;39;40;34mfood_columns\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mBurgers\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mHot Dogs\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSalads\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mFries\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mIce Cream\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mtotal_food_sales\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdf\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfood_columns\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msum\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msum\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mtotal_food_sales_usd\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtotal_food_sales\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m:\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m.2f\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mTotal food sales: $\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m{\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mtotal_food_sales_usd\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m}\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m USD\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Out - Final answer: Total food sales: $89706.00 USD\n",
       "
\n" ], "text/plain": [ "\u001b[1;38;2;212;183;2mOut - Final answer: Total food sales: $89706.00 USD\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 3: Duration 3.00 seconds| Input tokens: 7,045 | Output tokens: 364]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 3: Duration 3.00 seconds| Input tokens: 7,045 | Output tokens: 364]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
GAIA final answer: 89706.00 USD\n",
       "
\n" ], "text/plain": [ "\u001b[1;38;2;212;183;2mGAIA final answer: 89706.00 USD\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gaia.invoke(\n", " {\n", " \"task_id\": \"7bd855d8-463d-4ed5-93ca-5fe35145f733\",\n", " \"question\": \"The attached Excel file contains the sales of menu items for a local fast-food chain. What were the total sales that the chain made from food (not including drinks)? Express your answer in USD with two decimal places.\",\n", " }\n", ");" ] }, { "cell_type": "markdown", "id": "51962117", "metadata": {}, "source": [ "### Web Search" ] }, { "cell_type": "code", "execution_count": null, "id": "8aefba71", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
╭──────────────────────── New run - Final Assignment Agent for Hugging Face Agents Course ────────────────────────╮\n",
       "│                                                                                                                 │\n",
       "│ How many at bats did the Yankee with the most walks in the 1977 regular season have that same season?           │\n",
       "│                                                                                                                 │\n",
       "╰─ LangGraph with ChatOpenAI - gpt-4.1 ───────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run - Final Assignment Agent for Hugging Face Agents Course\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mHow many at bats did the Yankee with the most walks in the 1977 regular season have that same season?\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m LangGraph with ChatOpenAI - gpt-4.1 \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Agent web_researcher selected for solving the task.\n",
       "
\n" ], "text/plain": [ "Agent web_researcher selected for solving the task.\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling agent: web_researcher.                                                                                  │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling agent: web_researcher. │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────── New run - web_researcher ────────────────────────────────────────────╮\n",
       "│                                                                                                                 │\n",
       "│ How many at bats did the Yankee with the most walks in the 1977 regular season have that same season?           │\n",
       "│                                                                                                                 │\n",
       "╰─ OpenAIServerModel - gpt-4.1 ───────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run - web_researcher\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mHow many at bats did the Yankee with the most walks in the 1977 regular season have that same season?\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m OpenAIServerModel - gpt-4.1 \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
────────────────────────────────────────────────── Initial plan ───────────────────────────────────────────────────\n",
       "Here are the facts I know and the plan of action that I will follow to solve the task:\n",
       "```\n",
       "## 1. Facts survey\n",
       "\n",
       "### 1.1. Facts given in the task\n",
       "- The subject is the New York Yankees.\n",
       "- The year of interest is the 1977 regular season.\n",
       "- The specific player of interest is the Yankee who had the most walks (bases on balls) in that season.\n",
       "- The data point desired: the number of at bats that same player had in the 1977 regular season.\n",
       "\n",
       "### 1.2. Facts to look up\n",
       "- The identity of the New York Yankee with the most walks in the 1977 regular season.\n",
       "    - Source: 1977 New York Yankees player statistics (reliable baseball reference/statistics website).\n",
       "- The number of at bats (\"AB\") for that specific player in the 1977 regular season.\n",
       "    - Source: 1977 player season statistics for the identified Yankee.\n",
       "- Reliable sources include:\n",
       "    - Baseball-Reference.com (team and player seasons)\n",
       "    - MLB official stats archives\n",
       "\n",
       "### 1.3. Facts to derive\n",
       "- Once the top walk-earner is found, and their at bats for the season are identified and confirmed, simply report \n",
       "the exact number, ensuring it refers precisely to the regular season (not playoffs, not career, not multiple \n",
       "teams).\n",
       "\n",
       "---\n",
       "\n",
       "## 2. Plan\n",
       "\n",
       "1. Look up the New York Yankees 1977 regular season team statistics to determine which player had the most walks.\n",
       "2. Confirm the identity of the player with the most walks.\n",
       "3. Retrieve the number of at bats that player had in the 1977 regular season.\n",
       "4. Double-check that the at bats total is for the regular season and that it matches the player’s record with the \n",
       "Yankees in 1977.\n",
       "5. Provide the number of at bats as the final answer.\n",
       "\n",
       "\n",
       "```\n",
       "
\n" ], "text/plain": [ "────────────────────────────────────────────────── \u001b[1mInitial plan\u001b[0m ───────────────────────────────────────────────────\n", "Here are the facts I know and the plan of action that I will follow to solve the task:\n", "```\n", "## 1. Facts survey\n", "\n", "### 1.1. Facts given in the task\n", "- The subject is the New York Yankees.\n", "- The year of interest is the 1977 regular season.\n", "- The specific player of interest is the Yankee who had the most walks (bases on balls) in that season.\n", "- The data point desired: the number of at bats that same player had in the 1977 regular season.\n", "\n", "### 1.2. Facts to look up\n", "- The identity of the New York Yankee with the most walks in the 1977 regular season.\n", " - Source: 1977 New York Yankees player statistics (reliable baseball reference/statistics website).\n", "- The number of at bats (\"AB\") for that specific player in the 1977 regular season.\n", " - Source: 1977 player season statistics for the identified Yankee.\n", "- Reliable sources include:\n", " - Baseball-Reference.com (team and player seasons)\n", " - MLB official stats archives\n", "\n", "### 1.3. Facts to derive\n", "- Once the top walk-earner is found, and their at bats for the season are identified and confirmed, simply report \n", "the exact number, ensuring it refers precisely to the regular season (not playoffs, not career, not multiple \n", "teams).\n", "\n", "---\n", "\n", "## 2. Plan\n", "\n", "1. Look up the New York Yankees 1977 regular season team statistics to determine which player had the most walks.\n", "2. Confirm the identity of the player with the most walks.\n", "3. Retrieve the number of at bats that player had in the 1977 regular season.\n", "4. Double-check that the at bats total is for the regular season and that it matches the player’s record with the \n", "Yankees in 1977.\n", "5. Provide the number of at bats as the final answer.\n", "\n", "\n", "```\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "ChatCompletion(id='chatcmpl-BYgKoEdXSkXyY9HaRIzUeHTiKk3lN', choices=[Choice(finish_reason='tool_calls', index=0,   \n",
       "logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', annotations=[],         \n",
       "audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_ofd0eq5UhhGVlkPyMJhFYP7e',      \n",
       "function=Function(arguments='{\"query\":\"1977 New York Yankees player statistics walks leaders\"}',                   \n",
       "name='web_search'), type='function')]))], created=1747605586, model='gpt-4.1-2025-04-14', object='chat.completion',\n",
       "service_tier='default', system_fingerprint='fp_a1102cf978', usage=CompletionUsage(completion_tokens=22,            \n",
       "prompt_tokens=1876, total_tokens=1898,                                                                             \n",
       "completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0,\n",
       "rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0)))        \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mChatCompletion(id='chatcmpl-BYgKoEdXSkXyY9HaRIzUeHTiKk3lN',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchoices=[Choice(finish_reason='tool_calls',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mindex=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mlogprobs=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmessage=ChatCompletionMessage(content=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrefusal=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrole='assistant',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mannotations=[],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23maudio=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfunction_call=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtool_calls=[ChatCompletionMessageToolCall(id='call_ofd0eq5UhhGVlkPyMJhFYP7e',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfunction=Function(arguments='{\"query\":\"1977\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mNew\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mYork\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mYankees\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mplayer\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mstatistics\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwalks\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mleaders\"}',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mname='web_search'),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtype='function')]))],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcreated=1747605586,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmodel='gpt-4.1-2025-04-14',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mobject='chat.completion',\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mservice_tier='default',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msystem_fingerprint='fp_a1102cf978',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23musage=CompletionUsage(completion_tokens=22,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens=1876,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtotal_tokens=1898,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcompletion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23maudio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mreasoning_tokens=0,\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mrejected_prediction_tokens=0),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens_details=PromptTokensDetails(audio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcached_tokens=0)))\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling tool: 'web_search' with arguments: {'query': '1977 New York Yankees player statistics walks leaders'}   │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling tool: 'web_search' with arguments: {'query': '1977 New York Yankees player statistics walks leaders'} │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Observations: |1977 Yankees Player Hitting Stat Leaders | New York Yankees](https://www.mlb.com/yankees/stats/1977)\n",
       "The official source for New York Yankees player hitting stats, MLB home run leaders, batting average, OPS and stat \n",
       "leaders.\n",
       "\n",
       "|1977 New York Yankees Statistics | \n",
       "Baseball-Reference.com](https://www.baseball-reference.com/teams/NYY/1977.shtml)\n",
       "New York Yankees latest stats and more including batting stats, pitching stats, team fielding totals and more on \n",
       "Baseball-Reference.com.\n",
       "\n",
       "|Reggie Jackson - Wikipedia](https://en.wikipedia.org/wiki/Reggie_Jackson)\n",
       "Contents · 3.1 Kansas City / Oakland Athletics (1967–1975) · 3.2 Baltimore Orioles (1976) · 3.3 New York Yankees \n",
       "(1977–1981). 3.3.1 Mr. October; 3.3.2 The Bronx ...\n",
       "\n",
       "|Sun Devil Hall of Fame (Baseball) - Arizona State University \n",
       "Athletics](https://thesundevils.com/sports/2000/8/16/208252919.aspx)\n",
       "Aug 16, 2000 ... He played the outfield for the 1977 NCAA National Championship Sun Devils. The next year, he moved\n",
       "to shortstop and gained All-America first ...\n",
       "\n",
       "|Joe Torre - Wikipedia](https://en.wikipedia.org/wiki/Joe_Torre)\n",
       "Louis Cardinals (for whom he played primarily third base) and the New York Mets, until becoming a manager in 1977, \n",
       "when he briefly served as the Mets' player- ...\n",
       "\n",
       "|Cowboy Baseball Hall of Fame - Oklahoma State University \n",
       "Athletics](https://okstate.com/sports/2015/3/17/GEN_2014010120)\n",
       "Mar 17, 2015 ... ... New York Yankees. In 1998, he signed with the Tigers and played in seven games before moving \n",
       "on to Houston for his second tour of duty. He ...\n",
       "\n",
       "|Dave Kingman - Wikipedia](https://en.wikipedia.org/wiki/Dave_Kingman)\n",
       "Stats at Baseball Reference · Edit this at Wikidata · San Francisco Giants (1971–1974); New York Mets (1975–1977); \n",
       "San Diego Padres (1977); California Angels ( ...\n",
       "\n",
       "|San Francisco Giants Scores, Stats and Highlights - \n",
       "ESPN](https://www.espn.com/mlb/team/_/name/sf/san-francisco-giants)\n",
       "Giants · Wilmer Flores draws bases-loaded walk in 10th as Giants beat Athletics 1-0 · Giants · Wilmer Flores draws \n",
       "a walk to win the game for the Giants · Wilmer ...\n",
       "\n",
       "|1977 New York Yankees season - Wikipedia](https://en.wikipedia.org/wiki/1977_New_York_Yankees_season)\n",
       "The 1977 New York Yankees season was the 75th season for the Yankees. The team finished with a record of 100–62 and\n",
       "won the World Series.\n",
       "\n",
       "|Rickey Henderson - Wikipedia](https://en.wikipedia.org/wiki/Rickey_Henderson)\n",
       "Henderson is the all-time stolen base leader for the Oakland Athletics and previously held the New York Yankees' \n",
       "franchise record from 1988 to 2011. He was ...\n",
       "
\n" ], "text/plain": [ "Observations: |\u001b[1;36m1977\u001b[0m Yankees Player Hitting Stat Leaders | New York Yankees\u001b[1m]\u001b[0m\u001b[1m(\u001b[0m\u001b[4;94mhttps://www.mlb.com/yankees/stats/1977\u001b[0m\u001b[4;94m)\u001b[0m\n", "The official source for New York Yankees player hitting stats, MLB home run leaders, batting average, OPS and stat \n", "leaders.\n", "\n", "|\u001b[1;36m1977\u001b[0m New York Yankees Statistics | \n", "Baseball-Reference.com\u001b[1m]\u001b[0m\u001b[1m(\u001b[0m\u001b[4;94mhttps://www.baseball-reference.com/teams/NYY/1977.shtml\u001b[0m\u001b[4;94m)\u001b[0m\n", "New York Yankees latest stats and more including batting stats, pitching stats, team fielding totals and more on \n", "Baseball-Reference.com.\n", "\n", "|Reggie Jackson - Wikipedia\u001b[1m]\u001b[0m\u001b[1m(\u001b[0m\u001b[4;94mhttps://en.wikipedia.org/wiki/Reggie_Jackson\u001b[0m\u001b[4;94m)\u001b[0m\n", "Contents · \u001b[1;36m3.1\u001b[0m Kansas City \u001b[35m/\u001b[0m Oakland Athletics \u001b[1m(\u001b[0m\u001b[1;36m1967\u001b[0m–\u001b[1;36m1975\u001b[0m\u001b[1m)\u001b[0m · \u001b[1;36m3.2\u001b[0m Baltimore Orioles \u001b[1m(\u001b[0m\u001b[1;36m1976\u001b[0m\u001b[1m)\u001b[0m · \u001b[1;36m3.3\u001b[0m New York Yankees \n", "\u001b[1m(\u001b[0m\u001b[1;36m1977\u001b[0m–\u001b[1;36m1981\u001b[0m\u001b[1m)\u001b[0m. \u001b[1;36m3.3\u001b[0m.\u001b[1;36m1\u001b[0m Mr. October; \u001b[1;36m3.3\u001b[0m.\u001b[1;36m2\u001b[0m The Bronx \u001b[33m...\u001b[0m\n", "\n", "|Sun Devil Hall of Fame \u001b[1m(\u001b[0mBaseball\u001b[1m)\u001b[0m - Arizona State University \n", "Athletics\u001b[1m]\u001b[0m\u001b[1m(\u001b[0m\u001b[4;94mhttps://thesundevils.com/sports/2000/8/16/208252919.aspx\u001b[0m\u001b[4;94m)\u001b[0m\n", "Aug \u001b[1;36m16\u001b[0m, \u001b[1;36m2000\u001b[0m \u001b[33m...\u001b[0m He played the outfield for the \u001b[1;36m1977\u001b[0m NCAA National Championship Sun Devils. The next year, he moved\n", "to shortstop and gained All-America first \u001b[33m...\u001b[0m\n", "\n", "|Joe Torre - Wikipedia\u001b[1m]\u001b[0m\u001b[1m(\u001b[0m\u001b[4;94mhttps://en.wikipedia.org/wiki/Joe_Torre\u001b[0m\u001b[4;94m)\u001b[0m\n", "Louis Cardinals \u001b[1m(\u001b[0mfor whom he played primarily third base\u001b[1m)\u001b[0m and the New York Mets, until becoming a manager in \u001b[1;36m1977\u001b[0m, \n", "when he briefly served as the Mets' player- \u001b[33m...\u001b[0m\n", "\n", "|Cowboy Baseball Hall of Fame - Oklahoma State University \n", "Athletics\u001b[1m]\u001b[0m\u001b[1m(\u001b[0m\u001b[4;94mhttps://okstate.com/sports/2015/3/17/GEN_2014010120\u001b[0m\u001b[4;94m)\u001b[0m\n", "Mar \u001b[1;36m17\u001b[0m, \u001b[1;36m2015\u001b[0m \u001b[33m...\u001b[0m \u001b[33m...\u001b[0m New York Yankees. In \u001b[1;36m1998\u001b[0m, he signed with the Tigers and played in seven games before moving \n", "on to Houston for his second tour of duty. He \u001b[33m...\u001b[0m\n", "\n", "|Dave Kingman - Wikipedia\u001b[1m]\u001b[0m\u001b[1m(\u001b[0m\u001b[4;94mhttps://en.wikipedia.org/wiki/Dave_Kingman\u001b[0m\u001b[4;94m)\u001b[0m\n", "Stats at Baseball Reference · Edit this at Wikidata · San Francisco Giants \u001b[1m(\u001b[0m\u001b[1;36m1971\u001b[0m–\u001b[1;36m1974\u001b[0m\u001b[1m)\u001b[0m; New York Mets \u001b[1m(\u001b[0m\u001b[1;36m1975\u001b[0m–\u001b[1;36m1977\u001b[0m\u001b[1m)\u001b[0m; \n", "San Diego Padres \u001b[1m(\u001b[0m\u001b[1;36m1977\u001b[0m\u001b[1m)\u001b[0m; California Angels \u001b[1m(\u001b[0m \u001b[33m...\u001b[0m\n", "\n", "|San Francisco Giants Scores, Stats and Highlights - \n", "ESPN\u001b[1m]\u001b[0m\u001b[1m(\u001b[0m\u001b[4;94mhttps://www.espn.com/mlb/team/_/name/sf/san-francisco-giants\u001b[0m\u001b[4;94m)\u001b[0m\n", "Giants · Wilmer Flores draws bases-loaded walk in 10th as Giants beat Athletics \u001b[1;36m1\u001b[0m-\u001b[1;36m0\u001b[0m · Giants · Wilmer Flores draws \n", "a walk to win the game for the Giants · Wilmer \u001b[33m...\u001b[0m\n", "\n", "|\u001b[1;36m1977\u001b[0m New York Yankees season - Wikipedia\u001b[1m]\u001b[0m\u001b[1m(\u001b[0m\u001b[4;94mhttps://en.wikipedia.org/wiki/1977_New_York_Yankees_season\u001b[0m\u001b[4;94m)\u001b[0m\n", "The \u001b[1;36m1977\u001b[0m New York Yankees season was the 75th season for the Yankees. The team finished with a record of \u001b[1;36m100\u001b[0m–\u001b[1;36m62\u001b[0m and\n", "won the World Series.\n", "\n", "|Rickey Henderson - Wikipedia\u001b[1m]\u001b[0m\u001b[1m(\u001b[0m\u001b[4;94mhttps://en.wikipedia.org/wiki/Rickey_Henderson\u001b[0m\u001b[4;94m)\u001b[0m\n", "Henderson is the all-time stolen base leader for the Oakland Athletics and previously held the New York Yankees' \n", "franchise record from \u001b[1;36m1988\u001b[0m to \u001b[1;36m2011\u001b[0m. He was \u001b[33m...\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 1: Duration 6.40 seconds| Input tokens: 1,876 | Output tokens: 22]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 1: Duration 6.40 seconds| Input tokens: 1,876 | Output tokens: 22]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "ChatCompletion(id='chatcmpl-BYgKqxYfgKBqdCPkQ6274XSlq6dTl', choices=[Choice(finish_reason='tool_calls', index=0,   \n",
       "logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', annotations=[],         \n",
       "audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_hQqExgjOYtuKlk0bUNf41To3',      \n",
       "function=Function(arguments='{\"url\": \"https://www.baseball-reference.com/teams/NYY/1977.shtml\", \"query\": \"walks\"}',\n",
       "name='retrieve_content'), type='function'), ChatCompletionMessageToolCall(id='call_3DXH15EiRAWyIQNIK1dYpJgX',      \n",
       "function=Function(arguments='{\"url\": \"https://www.mlb.com/yankees/stats/1977\", \"query\": \"walks\"}',                 \n",
       "name='retrieve_content'), type='function')]))], created=1747605588, model='gpt-4.1-2025-04-14',                    \n",
       "object='chat.completion', service_tier='default', system_fingerprint='fp_a1102cf978',                              \n",
       "usage=CompletionUsage(completion_tokens=81, prompt_tokens=2632, total_tokens=2713,                                 \n",
       "completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0,\n",
       "rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=1792)))     \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mChatCompletion(id='chatcmpl-BYgKqxYfgKBqdCPkQ6274XSlq6dTl',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchoices=[Choice(finish_reason='tool_calls',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mindex=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mlogprobs=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmessage=ChatCompletionMessage(content=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrefusal=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrole='assistant',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mannotations=[],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23maudio=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfunction_call=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtool_calls=[ChatCompletionMessageToolCall(id='call_hQqExgjOYtuKlk0bUNf41To3',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfunction=Function(arguments='{\"url\":\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"https://www.baseball-reference.com/teams/NYY/1977.shtml\",\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"query\":\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"walks\"}',\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mname='retrieve_content'),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtype='function'),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mChatCompletionMessageToolCall(id='call_3DXH15EiRAWyIQNIK1dYpJgX',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfunction=Function(arguments='{\"url\":\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"https://www.mlb.com/yankees/stats/1977\",\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"query\":\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"walks\"}',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mname='retrieve_content'),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtype='function')]))],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcreated=1747605588,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmodel='gpt-4.1-2025-04-14',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mobject='chat.completion',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mservice_tier='default',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msystem_fingerprint='fp_a1102cf978',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23musage=CompletionUsage(completion_tokens=81,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens=2632,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtotal_tokens=2713,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcompletion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23maudio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mreasoning_tokens=0,\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mrejected_prediction_tokens=0),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens_details=PromptTokensDetails(audio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcached_tokens=1792)))\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling tool: 'retrieve_content' with arguments: {'url':                                                        │\n",
       "│ 'https://www.baseball-reference.com/teams/NYY/1977.shtml', 'query': 'walks'}                                    │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling tool: 'retrieve_content' with arguments: {'url': │\n", "│ 'https://www.baseball-reference.com/teams/NYY/1977.shtml', 'query': 'walks'} │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Observations: 1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "More 1977 Yankees Pages\n",
       "- Detailed Stats\n",
       "- Game Logs\n",
       "- Batting Splits\n",
       "- Minor Lg Affiliates\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Standard Batting\n",
       "* - bats left-handed, # - bats both, else - bats right, ? - unknown\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Standard Batting\n",
       "* - bats left-handed, # - bats both, else - bats right, ? - unknown\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Recent Game Results\n",
       "- 133. Sep 2, NYY (81-52) beat MIN, 4-0\n",
       "- 134. Sep 3, NYY (82-52) beat MIN, 7-4\n",
       "- 135. Sep 4, NYY (83-52) beat MIN, 4-0\n",
       "- 136. Sep 5, NYY (83-53) lost to CLE, 3-4\n",
       "- 137. Sep 5, NYY (83-54) lost to CLE, 4-5\n",
       "- 138. Sep 6, NYY (84-54) beat CLE, 8-3\n",
       "- 139. Sep 7, NYY (85-54) beat CLE, 4-3\n",
       "- 140. Sep 8, NYY (86-54) beat CLE, 4-3\n",
       "- 141. Sep 9, NYY (87-54) beat TOR, 2-0\n",
       "- 142. Sep 10, NYY (87-55) lost to TOR, 3-19\n",
       "- 143. Sep 11, NYY (88-55) beat TOR, 4-3\n",
       "- 144. Sep 11, NYY (88-56) lost to TOR, 4-6\n",
       "- 145. Sep 13, NYY (89-56) beat BOS, 4-2\n",
       "- 146. Sep 14, NYY (90-56) beat BOS, 2-0\n",
       "- 147. Sep 15, NYY (90-57) lost to BOS, 3-7\n",
       "- 148. Sep 16, NYY (91-57) beat DET, 5-4\n",
       "- 149. Sep 17, NYY (92-57) beat DET, 9-4\n",
       "- 150. Sep 18, NYY (93-57) beat DET, 6-5\n",
       "- 151. Sep 19, NYY (93-58) lost to BOS, 3-6\n",
       "- 152. Sep 21, NYY (93-59) lost to BOS, 2-3\n",
       "- 153. Sep 23, NYY (94-59) beat TOR, 5-3\n",
       "- 154. Sep 25, NYY (95-59) beat TOR, 15-0\n",
       "- 155. Sep 25, NYY (96-59) beat TOR, 2-0\n",
       "- 156. Sep 26, NYY (97-59) beat CLE, 4-2\n",
       "- 157. Sep 27, NYY (98-59) beat CLE, 2-1\n",
       "- 158. Sep 28, NYY (99-59) beat CLE, 10-0\n",
       "- 159. Sep 29, NYY (99-60) lost to CLE, 1-4\n",
       "- 160. Sep 30, NYY (99-61) lost to DET, 2-5\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Recent Game Results\n",
       "- 1. Apr 7, NYY (1-0) beat MIL, 3-0\n",
       "- 2. Apr 9, NYY (1-1) lost to MIL, 2-3\n",
       "- 3. Apr 10, NYY (1-2) lost to MIL, 1-2\n",
       "- 4. Apr 11, NYY (1-3) lost to KCR, 4-5\n",
       "- 5. Apr 13, NYY (2-3) beat KCR, 5-3\n",
       "- 6. Apr 15, NYY (2-4) lost to MIL, 4-7\n",
       "- 7. Apr 16, NYY (2-5) lost to MIL, 3-4\n",
       "- 8. Apr 17, NYY (2-6) lost to MIL, 0-2\n",
       "- 9. Apr 18, NYY (2-7) lost to TOR, 1-5\n",
       "- 10. Apr 19, NYY (2-8) lost to TOR, 3-8\n",
       "- 11. Apr 20, NYY (3-8) beat TOR, 7-5\n",
       "- 12. Apr 21, NYY (4-8) beat TOR, 8-6\n",
       "- 13. Apr 23, NYY (5-8) beat CLE, 9-3\n",
       "- 14. Apr 24, NYY (6-8) beat CLE, 10-1\n",
       "- 15. Apr 24, NYY (7-8) beat CLE, 7-1\n",
       "- 16. Apr 25, NYY (8-8) beat BAL, 9-6\n",
       "- 17. Apr 26, NYY (8-9) lost to BAL, 2-6\n",
       "- 18. Apr 27, NYY (9-9) beat BAL, 4-3\n",
       "- 19. Apr 29, NYY (10-9) beat SEA, 3-0\n",
       "- 20. Apr 30, NYY (11-9) beat SEA, 7-2\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "More 1977 Yankees Pages\n",
       "Fielding\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "More 1977 Yankees Pages\n",
       "Stats\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "More 1977 Yankees Pages\n",
       "Pitching\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "More 1977 Yankees Pages\n",
       "Pitching\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "More 1977 Yankees Pages\n",
       "Batting\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "More 1977 Yankees Pages\n",
       "Batting\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "FAQs, Tip & Tricks\n",
       "- Sports Reference ®\n",
       "- Baseball\n",
       "- Football (college)\n",
       "- Basketball (college)\n",
       "- Hockey\n",
       "- Fútbol\n",
       "- Blog\n",
       "- Stathead ®\n",
       "- Immaculate Grid ®\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "FAQs, Tip & Tricks\n",
       "The SPORTS REFERENCE, STATHEAD, IMMACULATE GRID, and IMMACULATE FOOTY trademarks are owned exclusively by Sports \n",
       "Reference LLC. Use without license or authorization is expressly prohibited.\n",
       "     Much of the play-by-play, game results, and transaction information both shown and used to create certain data\n",
       "sets was obtained free of charge from and is copyrighted by RetroSheet.\n",
       "Win Expectancy, Run Expectancy, and Leverage Index calculations provided by Tom Tango of InsideTheBook.com, and \n",
       "co-author of The Book: Playing the Percentages in Baseball.\n",
       "Total Zone Rating and initial framework for Wins above Replacement calculations provided by Sean Smith of \n",
       "Baseballprojection.com and author of WAR in Pieces.\n",
       "Full-year historical Major League statistics provided by Pete Palmer and Gary Gillette of Hidden Game Sports.\n",
       "\n",
       "Some defensive statistics Copyright © Sports Info Solutions, 2010-2025.\n",
       "Some high school data is courtesy David McWater.\n",
       "Many historical player head shots courtesy of David Davis. Many thanks to him. All images are property the \n",
       "copyright holder and are displayed here for informational purposes only.\n",
       "\n",
       "Data Provided By\n",
       "        \n",
       "        the official stats partner of the NBA, NHL and MLB.\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "FAQs, Tip & Tricks\n",
       "Copyright © 2000-2025 Sports Reference LLC. All rights reserved.\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "FAQs, Tip & Tricks\n",
       "Logos were compiled by the amazing SportsLogos.net.\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "FAQs, Tip & Tricks\n",
       "All logos are the trademark & property of their owners and not Sports Reference LLC.  We present them here for \n",
       "purely educational purposes.\n",
       "                                Our reasoning for presenting offensive logos.\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "FAQs, Tip & Tricks\n",
       "- Learn about the Wins Above Replacement Formula\n",
       "- Tips and Tricks from our Blog.\n",
       "- Do you have a blog? Join our linker program.\n",
       "- Watch our How-To Videos to Become a Stathead\n",
       "- Subscribe to Stathead and get access to more data than you can imagine\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "We're Social...for Statheads\n",
       "Do you have a sports website? Or write about sports? We have tools and resources that can help you use sports data.\n",
       "Find out more.\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "We're Social...for Statheads\n",
       "Subscribe to Stathead Baseball: Get your first month FREE\n",
       "Your All-Access Ticket to the Baseball Reference Database\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "We're Social...for Statheads\n",
       "Subscribe to our Free Email Newsletter\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "We're Social...for Statheads\n",
       "Question, Comment, Feedback, or Correction?\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "We're Social...for Statheads\n",
       "Site Last Updated: Sunday, May 18,  4:24AM\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "We're Social...for Statheads\n",
       "Every Sports Reference Social Media Account\n",
       "
\n" ], "text/plain": [ "Observations: \u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "More \u001b[1;36m1977\u001b[0m Yankees Pages\n", "- Detailed Stats\n", "- Game Logs\n", "- Batting Splits\n", "- Minor Lg Affiliates\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Standard Batting\n", "* - bats left-handed, # - bats both, else - bats right, ? - unknown\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Standard Batting\n", "* - bats left-handed, # - bats both, else - bats right, ? - unknown\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Recent Game Results\n", "- \u001b[1;36m133\u001b[0m. Sep \u001b[1;36m2\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m81\u001b[0m-\u001b[1;36m52\u001b[0m\u001b[1m)\u001b[0m beat MIN, \u001b[1;36m4\u001b[0m-\u001b[1;36m0\u001b[0m\n", "- \u001b[1;36m134\u001b[0m. Sep \u001b[1;36m3\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m82\u001b[0m-\u001b[1;36m52\u001b[0m\u001b[1m)\u001b[0m beat MIN, \u001b[1;36m7\u001b[0m-\u001b[1;36m4\u001b[0m\n", "- \u001b[1;36m135\u001b[0m. Sep \u001b[1;36m4\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m83\u001b[0m-\u001b[1;36m52\u001b[0m\u001b[1m)\u001b[0m beat MIN, \u001b[1;36m4\u001b[0m-\u001b[1;36m0\u001b[0m\n", "- \u001b[1;36m136\u001b[0m. Sep \u001b[1;36m5\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m83\u001b[0m-\u001b[1;36m53\u001b[0m\u001b[1m)\u001b[0m lost to CLE, \u001b[1;36m3\u001b[0m-\u001b[1;36m4\u001b[0m\n", "- \u001b[1;36m137\u001b[0m. Sep \u001b[1;36m5\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m83\u001b[0m-\u001b[1;36m54\u001b[0m\u001b[1m)\u001b[0m lost to CLE, \u001b[1;36m4\u001b[0m-\u001b[1;36m5\u001b[0m\n", "- \u001b[1;36m138\u001b[0m. Sep \u001b[1;36m6\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m84\u001b[0m-\u001b[1;36m54\u001b[0m\u001b[1m)\u001b[0m beat CLE, \u001b[1;36m8\u001b[0m-\u001b[1;36m3\u001b[0m\n", "- \u001b[1;36m139\u001b[0m. Sep \u001b[1;36m7\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m85\u001b[0m-\u001b[1;36m54\u001b[0m\u001b[1m)\u001b[0m beat CLE, \u001b[1;36m4\u001b[0m-\u001b[1;36m3\u001b[0m\n", "- \u001b[1;36m140\u001b[0m. Sep \u001b[1;36m8\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m86\u001b[0m-\u001b[1;36m54\u001b[0m\u001b[1m)\u001b[0m beat CLE, \u001b[1;36m4\u001b[0m-\u001b[1;36m3\u001b[0m\n", "- \u001b[1;36m141\u001b[0m. Sep \u001b[1;36m9\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m87\u001b[0m-\u001b[1;36m54\u001b[0m\u001b[1m)\u001b[0m beat TOR, \u001b[1;36m2\u001b[0m-\u001b[1;36m0\u001b[0m\n", "- \u001b[1;36m142\u001b[0m. Sep \u001b[1;36m10\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m87\u001b[0m-\u001b[1;36m55\u001b[0m\u001b[1m)\u001b[0m lost to TOR, \u001b[1;36m3\u001b[0m-\u001b[1;36m19\u001b[0m\n", "- \u001b[1;36m143\u001b[0m. Sep \u001b[1;36m11\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m88\u001b[0m-\u001b[1;36m55\u001b[0m\u001b[1m)\u001b[0m beat TOR, \u001b[1;36m4\u001b[0m-\u001b[1;36m3\u001b[0m\n", "- \u001b[1;36m144\u001b[0m. Sep \u001b[1;36m11\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m88\u001b[0m-\u001b[1;36m56\u001b[0m\u001b[1m)\u001b[0m lost to TOR, \u001b[1;36m4\u001b[0m-\u001b[1;36m6\u001b[0m\n", "- \u001b[1;36m145\u001b[0m. Sep \u001b[1;36m13\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m89\u001b[0m-\u001b[1;36m56\u001b[0m\u001b[1m)\u001b[0m beat BOS, \u001b[1;36m4\u001b[0m-\u001b[1;36m2\u001b[0m\n", "- \u001b[1;36m146\u001b[0m. Sep \u001b[1;36m14\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m90\u001b[0m-\u001b[1;36m56\u001b[0m\u001b[1m)\u001b[0m beat BOS, \u001b[1;36m2\u001b[0m-\u001b[1;36m0\u001b[0m\n", "- \u001b[1;36m147\u001b[0m. Sep \u001b[1;36m15\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m90\u001b[0m-\u001b[1;36m57\u001b[0m\u001b[1m)\u001b[0m lost to BOS, \u001b[1;36m3\u001b[0m-\u001b[1;36m7\u001b[0m\n", "- \u001b[1;36m148\u001b[0m. Sep \u001b[1;36m16\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m91\u001b[0m-\u001b[1;36m57\u001b[0m\u001b[1m)\u001b[0m beat DET, \u001b[1;36m5\u001b[0m-\u001b[1;36m4\u001b[0m\n", "- \u001b[1;36m149\u001b[0m. Sep \u001b[1;36m17\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m92\u001b[0m-\u001b[1;36m57\u001b[0m\u001b[1m)\u001b[0m beat DET, \u001b[1;36m9\u001b[0m-\u001b[1;36m4\u001b[0m\n", "- \u001b[1;36m150\u001b[0m. Sep \u001b[1;36m18\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m93\u001b[0m-\u001b[1;36m57\u001b[0m\u001b[1m)\u001b[0m beat DET, \u001b[1;36m6\u001b[0m-\u001b[1;36m5\u001b[0m\n", "- \u001b[1;36m151\u001b[0m. Sep \u001b[1;36m19\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m93\u001b[0m-\u001b[1;36m58\u001b[0m\u001b[1m)\u001b[0m lost to BOS, \u001b[1;36m3\u001b[0m-\u001b[1;36m6\u001b[0m\n", "- \u001b[1;36m152\u001b[0m. Sep \u001b[1;36m21\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m93\u001b[0m-\u001b[1;36m59\u001b[0m\u001b[1m)\u001b[0m lost to BOS, \u001b[1;36m2\u001b[0m-\u001b[1;36m3\u001b[0m\n", "- \u001b[1;36m153\u001b[0m. Sep \u001b[1;36m23\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m94\u001b[0m-\u001b[1;36m59\u001b[0m\u001b[1m)\u001b[0m beat TOR, \u001b[1;36m5\u001b[0m-\u001b[1;36m3\u001b[0m\n", "- \u001b[1;36m154\u001b[0m. Sep \u001b[1;36m25\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m95\u001b[0m-\u001b[1;36m59\u001b[0m\u001b[1m)\u001b[0m beat TOR, \u001b[1;36m15\u001b[0m-\u001b[1;36m0\u001b[0m\n", "- \u001b[1;36m155\u001b[0m. Sep \u001b[1;36m25\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m96\u001b[0m-\u001b[1;36m59\u001b[0m\u001b[1m)\u001b[0m beat TOR, \u001b[1;36m2\u001b[0m-\u001b[1;36m0\u001b[0m\n", "- \u001b[1;36m156\u001b[0m. Sep \u001b[1;36m26\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m97\u001b[0m-\u001b[1;36m59\u001b[0m\u001b[1m)\u001b[0m beat CLE, \u001b[1;36m4\u001b[0m-\u001b[1;36m2\u001b[0m\n", "- \u001b[1;36m157\u001b[0m. Sep \u001b[1;36m27\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m98\u001b[0m-\u001b[1;36m59\u001b[0m\u001b[1m)\u001b[0m beat CLE, \u001b[1;36m2\u001b[0m-\u001b[1;36m1\u001b[0m\n", "- \u001b[1;36m158\u001b[0m. Sep \u001b[1;36m28\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m99\u001b[0m-\u001b[1;36m59\u001b[0m\u001b[1m)\u001b[0m beat CLE, \u001b[1;36m10\u001b[0m-\u001b[1;36m0\u001b[0m\n", "- \u001b[1;36m159\u001b[0m. Sep \u001b[1;36m29\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m99\u001b[0m-\u001b[1;36m60\u001b[0m\u001b[1m)\u001b[0m lost to CLE, \u001b[1;36m1\u001b[0m-\u001b[1;36m4\u001b[0m\n", "- \u001b[1;36m160\u001b[0m. Sep \u001b[1;36m30\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m99\u001b[0m-\u001b[1;36m61\u001b[0m\u001b[1m)\u001b[0m lost to DET, \u001b[1;36m2\u001b[0m-\u001b[1;36m5\u001b[0m\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Recent Game Results\n", "- \u001b[1;36m1\u001b[0m. Apr \u001b[1;36m7\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m1\u001b[0m-\u001b[1;36m0\u001b[0m\u001b[1m)\u001b[0m beat MIL, \u001b[1;36m3\u001b[0m-\u001b[1;36m0\u001b[0m\n", "- \u001b[1;36m2\u001b[0m. Apr \u001b[1;36m9\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m1\u001b[0m-\u001b[1;36m1\u001b[0m\u001b[1m)\u001b[0m lost to MIL, \u001b[1;36m2\u001b[0m-\u001b[1;36m3\u001b[0m\n", "- \u001b[1;36m3\u001b[0m. Apr \u001b[1;36m10\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m1\u001b[0m-\u001b[1;36m2\u001b[0m\u001b[1m)\u001b[0m lost to MIL, \u001b[1;36m1\u001b[0m-\u001b[1;36m2\u001b[0m\n", "- \u001b[1;36m4\u001b[0m. Apr \u001b[1;36m11\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m1\u001b[0m-\u001b[1;36m3\u001b[0m\u001b[1m)\u001b[0m lost to KCR, \u001b[1;36m4\u001b[0m-\u001b[1;36m5\u001b[0m\n", "- \u001b[1;36m5\u001b[0m. Apr \u001b[1;36m13\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m2\u001b[0m-\u001b[1;36m3\u001b[0m\u001b[1m)\u001b[0m beat KCR, \u001b[1;36m5\u001b[0m-\u001b[1;36m3\u001b[0m\n", "- \u001b[1;36m6\u001b[0m. Apr \u001b[1;36m15\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m2\u001b[0m-\u001b[1;36m4\u001b[0m\u001b[1m)\u001b[0m lost to MIL, \u001b[1;36m4\u001b[0m-\u001b[1;36m7\u001b[0m\n", "- \u001b[1;36m7\u001b[0m. Apr \u001b[1;36m16\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m2\u001b[0m-\u001b[1;36m5\u001b[0m\u001b[1m)\u001b[0m lost to MIL, \u001b[1;36m3\u001b[0m-\u001b[1;36m4\u001b[0m\n", "- \u001b[1;36m8\u001b[0m. Apr \u001b[1;36m17\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m2\u001b[0m-\u001b[1;36m6\u001b[0m\u001b[1m)\u001b[0m lost to MIL, \u001b[1;36m0\u001b[0m-\u001b[1;36m2\u001b[0m\n", "- \u001b[1;36m9\u001b[0m. Apr \u001b[1;36m18\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m2\u001b[0m-\u001b[1;36m7\u001b[0m\u001b[1m)\u001b[0m lost to TOR, \u001b[1;36m1\u001b[0m-\u001b[1;36m5\u001b[0m\n", "- \u001b[1;36m10\u001b[0m. Apr \u001b[1;36m19\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m2\u001b[0m-\u001b[1;36m8\u001b[0m\u001b[1m)\u001b[0m lost to TOR, \u001b[1;36m3\u001b[0m-\u001b[1;36m8\u001b[0m\n", "- \u001b[1;36m11\u001b[0m. Apr \u001b[1;36m20\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m3\u001b[0m-\u001b[1;36m8\u001b[0m\u001b[1m)\u001b[0m beat TOR, \u001b[1;36m7\u001b[0m-\u001b[1;36m5\u001b[0m\n", "- \u001b[1;36m12\u001b[0m. Apr \u001b[1;36m21\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m4\u001b[0m-\u001b[1;36m8\u001b[0m\u001b[1m)\u001b[0m beat TOR, \u001b[1;36m8\u001b[0m-\u001b[1;36m6\u001b[0m\n", "- \u001b[1;36m13\u001b[0m. Apr \u001b[1;36m23\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m5\u001b[0m-\u001b[1;36m8\u001b[0m\u001b[1m)\u001b[0m beat CLE, \u001b[1;36m9\u001b[0m-\u001b[1;36m3\u001b[0m\n", "- \u001b[1;36m14\u001b[0m. Apr \u001b[1;36m24\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m6\u001b[0m-\u001b[1;36m8\u001b[0m\u001b[1m)\u001b[0m beat CLE, \u001b[1;36m10\u001b[0m-\u001b[1;36m1\u001b[0m\n", "- \u001b[1;36m15\u001b[0m. Apr \u001b[1;36m24\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m7\u001b[0m-\u001b[1;36m8\u001b[0m\u001b[1m)\u001b[0m beat CLE, \u001b[1;36m7\u001b[0m-\u001b[1;36m1\u001b[0m\n", "- \u001b[1;36m16\u001b[0m. Apr \u001b[1;36m25\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m8\u001b[0m-\u001b[1;36m8\u001b[0m\u001b[1m)\u001b[0m beat BAL, \u001b[1;36m9\u001b[0m-\u001b[1;36m6\u001b[0m\n", "- \u001b[1;36m17\u001b[0m. Apr \u001b[1;36m26\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m8\u001b[0m-\u001b[1;36m9\u001b[0m\u001b[1m)\u001b[0m lost to BAL, \u001b[1;36m2\u001b[0m-\u001b[1;36m6\u001b[0m\n", "- \u001b[1;36m18\u001b[0m. Apr \u001b[1;36m27\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m9\u001b[0m-\u001b[1;36m9\u001b[0m\u001b[1m)\u001b[0m beat BAL, \u001b[1;36m4\u001b[0m-\u001b[1;36m3\u001b[0m\n", "- \u001b[1;36m19\u001b[0m. Apr \u001b[1;36m29\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m10\u001b[0m-\u001b[1;36m9\u001b[0m\u001b[1m)\u001b[0m beat SEA, \u001b[1;36m3\u001b[0m-\u001b[1;36m0\u001b[0m\n", "- \u001b[1;36m20\u001b[0m. Apr \u001b[1;36m30\u001b[0m, NYY \u001b[1m(\u001b[0m\u001b[1;36m11\u001b[0m-\u001b[1;36m9\u001b[0m\u001b[1m)\u001b[0m beat SEA, \u001b[1;36m7\u001b[0m-\u001b[1;36m2\u001b[0m\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "More \u001b[1;36m1977\u001b[0m Yankees Pages\n", "Fielding\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "More \u001b[1;36m1977\u001b[0m Yankees Pages\n", "Stats\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "More \u001b[1;36m1977\u001b[0m Yankees Pages\n", "Pitching\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "More \u001b[1;36m1977\u001b[0m Yankees Pages\n", "Pitching\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "More \u001b[1;36m1977\u001b[0m Yankees Pages\n", "Batting\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "More \u001b[1;36m1977\u001b[0m Yankees Pages\n", "Batting\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "FAQs, Tip & Tricks\n", "- Sports Reference ®\n", "- Baseball\n", "- Football \u001b[1m(\u001b[0mcollege\u001b[1m)\u001b[0m\n", "- Basketball \u001b[1m(\u001b[0mcollege\u001b[1m)\u001b[0m\n", "- Hockey\n", "- Fútbol\n", "- Blog\n", "- Stathead ®\n", "- Immaculate Grid ®\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "FAQs, Tip & Tricks\n", "The SPORTS REFERENCE, STATHEAD, IMMACULATE GRID, and IMMACULATE FOOTY trademarks are owned exclusively by Sports \n", "Reference LLC. Use without license or authorization is expressly prohibited.\n", " Much of the play-by-play, game results, and transaction information both shown and used to create certain data\n", "sets was obtained free of charge from and is copyrighted by RetroSheet.\n", "Win Expectancy, Run Expectancy, and Leverage Index calculations provided by Tom Tango of InsideTheBook.com, and \n", "co-author of The Book: Playing the Percentages in Baseball.\n", "Total Zone Rating and initial framework for Wins above Replacement calculations provided by Sean Smith of \n", "Baseballprojection.com and author of WAR in Pieces.\n", "Full-year historical Major League statistics provided by Pete Palmer and Gary Gillette of Hidden Game Sports.\n", "\n", "Some defensive statistics Copyright © Sports Info Solutions, \u001b[1;36m2010\u001b[0m-\u001b[1;36m2025\u001b[0m.\n", "Some high school data is courtesy David McWater.\n", "Many historical player head shots courtesy of David Davis. Many thanks to him. All images are property the \n", "copyright holder and are displayed here for informational purposes only.\n", "\n", "Data Provided By\n", " \n", " the official stats partner of the NBA, NHL and MLB.\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "FAQs, Tip & Tricks\n", "Copyright © \u001b[1;36m2000\u001b[0m-\u001b[1;36m2025\u001b[0m Sports Reference LLC. All rights reserved.\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "FAQs, Tip & Tricks\n", "Logos were compiled by the amazing SportsLogos.net.\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "FAQs, Tip & Tricks\n", "All logos are the trademark & property of their owners and not Sports Reference LLC. We present them here for \n", "purely educational purposes.\n", " Our reasoning for presenting offensive logos.\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "FAQs, Tip & Tricks\n", "- Learn about the Wins Above Replacement Formula\n", "- Tips and Tricks from our Blog.\n", "- Do you have a blog? Join our linker program.\n", "- Watch our How-To Videos to Become a Stathead\n", "- Subscribe to Stathead and get access to more data than you can imagine\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "We're Social\u001b[33m...\u001b[0mfor Statheads\n", "Do you have a sports website? Or write about sports? We have tools and resources that can help you use sports data.\n", "Find out more.\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "We're Social\u001b[33m...\u001b[0mfor Statheads\n", "Subscribe to Stathead Baseball: Get your first month FREE\n", "Your All-Access Ticket to the Baseball Reference Database\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "We're Social\u001b[33m...\u001b[0mfor Statheads\n", "Subscribe to our Free Email Newsletter\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "We're Social\u001b[33m...\u001b[0mfor Statheads\n", "Question, Comment, Feedback, or Correction?\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "We're Social\u001b[33m...\u001b[0mfor Statheads\n", "Site Last Updated: Sunday, May \u001b[1;36m18\u001b[0m, \u001b[1;92m4:24A\u001b[0mM\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "We're Social\u001b[33m...\u001b[0mfor Statheads\n", "Every Sports Reference Social Media Account\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 2: Duration 2.04 seconds| Input tokens: 4,508 | Output tokens: 103]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 2: Duration 2.04 seconds| Input tokens: 4,508 | Output tokens: 103]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "ChatCompletion(id='chatcmpl-BYgKs9JZhuCdIcyzhHnGPc2zAjZXM', choices=[Choice(finish_reason='tool_calls', index=0,   \n",
       "logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', annotations=[],         \n",
       "audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_z8KEHHcwIr7HpTUHkkSiAHcF',      \n",
       "function=Function(arguments='{\"url\":\"https://www.mlb.com/yankees/stats/1977\",\"query\":\"walks leaders\"}',            \n",
       "name='retrieve_content'), type='function')]))], created=1747605590, model='gpt-4.1-2025-04-14',                    \n",
       "object='chat.completion', service_tier='default', system_fingerprint='fp_a1102cf978',                              \n",
       "usage=CompletionUsage(completion_tokens=33, prompt_tokens=4791, total_tokens=4824,                                 \n",
       "completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0,\n",
       "rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=2560)))     \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mChatCompletion(id='chatcmpl-BYgKs9JZhuCdIcyzhHnGPc2zAjZXM',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchoices=[Choice(finish_reason='tool_calls',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mindex=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mlogprobs=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmessage=ChatCompletionMessage(content=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrefusal=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrole='assistant',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mannotations=[],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23maudio=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfunction_call=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtool_calls=[ChatCompletionMessageToolCall(id='call_z8KEHHcwIr7HpTUHkkSiAHcF',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfunction=Function(arguments='{\"url\":\"https://www.mlb.com/yankees/stats/1977\",\"query\":\"walks\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mleaders\"}',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mname='retrieve_content'),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtype='function')]))],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcreated=1747605590,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmodel='gpt-4.1-2025-04-14',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mobject='chat.completion',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mservice_tier='default',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msystem_fingerprint='fp_a1102cf978',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23musage=CompletionUsage(completion_tokens=33,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens=4791,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtotal_tokens=4824,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcompletion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23maudio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mreasoning_tokens=0,\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mrejected_prediction_tokens=0),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens_details=PromptTokensDetails(audio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcached_tokens=2560)))\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling tool: 'retrieve_content' with arguments: {'url': 'https://www.mlb.com/yankees/stats/1977', 'query':     │\n",
       "│ 'walks leaders'}                                                                                                │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling tool: 'retrieve_content' with arguments: {'url': 'https://www.mlb.com/yankees/stats/1977', 'query': │\n", "│ 'walks leaders'} │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Observations: No content found.\n",
       "
\n" ], "text/plain": [ "Observations: No content found.\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 3: Duration 3.76 seconds| Input tokens: 9,299 | Output tokens: 136]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 3: Duration 3.76 seconds| Input tokens: 9,299 | Output tokens: 136]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
────────────────────────────────────────────────── Updated plan ───────────────────────────────────────────────────\n",
       "I still need to solve the task I was given:\n",
       "```\n",
       "How many at bats did the Yankee with the most walks in the 1977 regular season have that same season?\n",
       "```\n",
       "\n",
       "Here are the facts I know and my new/updated plan of action to solve the task:\n",
       "```\n",
       "## 1. Updated facts survey\n",
       "\n",
       "### 1.1. Facts given in the task\n",
       "- We are to find the number of at bats for the New York Yankee who had the most walks in the 1977 regular season.\n",
       "\n",
       "### 1.2. Facts that we have learned\n",
       "- We have found links to official 1977 Yankees stats pages on MLB.com and Baseball-Reference.com.\n",
       "- The attempted extractions have not yet yielded the leader for walks or the corresponding at bat data.\n",
       "\n",
       "### 1.3. Facts still to look up\n",
       "- Which Yankee had the most walks in the 1977 regular season.\n",
       "- How many at bats that player had in the 1977 regular season.\n",
       "\n",
       "### 1.4. Facts still to derive\n",
       "- The exact number of at bats for that player.\n",
       "\n",
       "## 2. Plan\n",
       "\n",
       "### 2.1. Look up the 1977 New York Yankees player batting stats to determine who led the team in walks (BB).\n",
       "### 2.2. Look up the at bats (AB) for that same player in the 1977 regular season.\n",
       "### 2.3. Report the number of at bats as the final answer.\n",
       "\n",
       "\n",
       "```\n",
       "
\n" ], "text/plain": [ "────────────────────────────────────────────────── \u001b[1mUpdated plan\u001b[0m ───────────────────────────────────────────────────\n", "I still need to solve the task I was given:\n", "```\n", "How many at bats did the Yankee with the most walks in the 1977 regular season have that same season?\n", "```\n", "\n", "Here are the facts I know and my new/updated plan of action to solve the task:\n", "```\n", "## 1. Updated facts survey\n", "\n", "### 1.1. Facts given in the task\n", "- We are to find the number of at bats for the New York Yankee who had the most walks in the 1977 regular season.\n", "\n", "### 1.2. Facts that we have learned\n", "- We have found links to official 1977 Yankees stats pages on MLB.com and Baseball-Reference.com.\n", "- The attempted extractions have not yet yielded the leader for walks or the corresponding at bat data.\n", "\n", "### 1.3. Facts still to look up\n", "- Which Yankee had the most walks in the 1977 regular season.\n", "- How many at bats that player had in the 1977 regular season.\n", "\n", "### 1.4. Facts still to derive\n", "- The exact number of at bats for that player.\n", "\n", "## 2. Plan\n", "\n", "### 2.1. Look up the 1977 New York Yankees player batting stats to determine who led the team in walks (BB).\n", "### 2.2. Look up the at bats (AB) for that same player in the 1977 regular season.\n", "### 2.3. Report the number of at bats as the final answer.\n", "\n", "\n", "```\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 4 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m4\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "ChatCompletion(id='chatcmpl-BYgL0V9oTjcPm75WQFsDoMXZL2bx1', choices=[Choice(finish_reason='tool_calls', index=0,   \n",
       "logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', annotations=[],         \n",
       "audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_ZRVd5PhrVF3GmZlAqRLZxb1v',      \n",
       "function=Function(arguments='{\"url\":\"https://www.baseball-reference.com/teams/NYY/1977.shtml\",\"query\":\"batting     \n",
       "stats\"}', name='retrieve_content'), type='function')]))], created=1747605598, model='gpt-4.1-2025-04-14',          \n",
       "object='chat.completion', service_tier='default', system_fingerprint='fp_a1102cf978',                              \n",
       "usage=CompletionUsage(completion_tokens=34, prompt_tokens=5235, total_tokens=5269,                                 \n",
       "completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0,\n",
       "rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=4736)))     \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mChatCompletion(id='chatcmpl-BYgL0V9oTjcPm75WQFsDoMXZL2bx1',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchoices=[Choice(finish_reason='tool_calls',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mindex=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mlogprobs=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmessage=ChatCompletionMessage(content=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrefusal=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrole='assistant',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mannotations=[],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23maudio=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfunction_call=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtool_calls=[ChatCompletionMessageToolCall(id='call_ZRVd5PhrVF3GmZlAqRLZxb1v',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfunction=Function(arguments='{\"url\":\"https://www.baseball-reference.com/teams/NYY/1977.shtml\",\"query\":\"batting\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mstats\"}',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mname='retrieve_content'),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtype='function')]))],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcreated=1747605598,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmodel='gpt-4.1-2025-04-14',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mobject='chat.completion',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mservice_tier='default',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msystem_fingerprint='fp_a1102cf978',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23musage=CompletionUsage(completion_tokens=34,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens=5235,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtotal_tokens=5269,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcompletion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23maudio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mreasoning_tokens=0,\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mrejected_prediction_tokens=0),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens_details=PromptTokensDetails(audio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcached_tokens=4736)))\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling tool: 'retrieve_content' with arguments: {'url':                                                        │\n",
       "│ 'https://www.baseball-reference.com/teams/NYY/1977.shtml', 'query': 'batting stats'}                            │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling tool: 'retrieve_content' with arguments: {'url': │\n", "│ 'https://www.baseball-reference.com/teams/NYY/1977.shtml', 'query': 'batting stats'} │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Observations: 1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "FAQs, Tip & Tricks\n",
       "The SPORTS REFERENCE, STATHEAD, IMMACULATE GRID, and IMMACULATE FOOTY trademarks are owned exclusively by Sports \n",
       "Reference LLC. Use without license or authorization is expressly prohibited.\n",
       "     Much of the play-by-play, game results, and transaction information both shown and used to create certain data\n",
       "sets was obtained free of charge from and is copyrighted by RetroSheet.\n",
       "Win Expectancy, Run Expectancy, and Leverage Index calculations provided by Tom Tango of InsideTheBook.com, and \n",
       "co-author of The Book: Playing the Percentages in Baseball.\n",
       "Total Zone Rating and initial framework for Wins above Replacement calculations provided by Sean Smith of \n",
       "Baseballprojection.com and author of WAR in Pieces.\n",
       "Full-year historical Major League statistics provided by Pete Palmer and Gary Gillette of Hidden Game Sports.\n",
       "\n",
       "Some defensive statistics Copyright © Sports Info Solutions, 2010-2025.\n",
       "Some high school data is courtesy David McWater.\n",
       "Many historical player head shots courtesy of David Davis. Many thanks to him. All images are property the \n",
       "copyright holder and are displayed here for informational purposes only.\n",
       "\n",
       "Data Provided By\n",
       "        \n",
       "        the official stats partner of the NBA, NHL and MLB.\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "More 1977 Yankees Pages\n",
       "Pitching\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "More 1977 Yankees Pages\n",
       "Pitching\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "More 1977 Yankees Pages\n",
       "Fielding\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "More 1977 Yankees Pages\n",
       "- Detailed Stats\n",
       "- Game Logs\n",
       "- Batting Splits\n",
       "- Minor Lg Affiliates\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "More 1977 Yankees Pages\n",
       "Stats\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "- Top 12 Players\n",
       "- Standard Batting\n",
       "- Standard Pitching\n",
       "- Full Season Roster & Appearances\n",
       "- Coaching Staff\n",
       "- Standard Fielding\n",
       "- Value Batting\n",
       "- Value Pitching\n",
       "- Full Site Menu\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "More 1977 Yankees Pages\n",
       "Batting\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "More 1977 Yankees Pages\n",
       "Batting\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Standard Pitching\n",
       "* - throws left-handed, # - throws both, else - throws right, ? - unknown\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Standard Pitching\n",
       "1, Player = Mike Torrez. 1, Age = 30. 1, W = 2. 1, L = 1. 1, W-L% = .667. 1, ERA = 3.10. 1, G = 4. 1, GS = 3. 1, GF\n",
       "= 0. 1, CG = 2. 1, SHO = 0. 1, SV = 0. 1, IP = 29.0. 1, H = 27. 1, R = 12. 1, ER = 10. 1, HR = 2. 1, BB = 10. 1, \n",
       "IBB = 0. 1, SO = 20. 1, HBP = 0. 1, BK = 0. 1, WP = 0. 1, BF = 120. 1, FIP = 3.29. 1, WHIP = 1.276. 1, H9 = 8.4. 1,\n",
       "HR9 = 0.6. 1, BB9 = 3.1. 1, SO9 = 6.2. 1, SO/BB = 2.00. 1, Awards = . 2, Player = Ron Guidry*. 2, Age = 26. 2, W = \n",
       "2. 2, L = 0. 2, W-L% = 1.000. 2, ERA = 3.10. 2, G = 3. 2, GS = 3. 2, GF = 0. 2, CG = 2. 2, SHO = 0. 2, SV = 0. 2, \n",
       "IP = 20.1. 2, H = 13. 2, R = 7. 2, ER = 7. 2, HR = 1. 2, BB = 6. 2, IBB = 0. 2, SO = 15. 2, HBP = 0. 2, BK = 0. 2, \n",
       "WP = 0. 2, BF = 78. 2, FIP = 2.79. 2, WHIP = 0.934. 2, H9 = 5.8. 2, HR9 = 0.4. 2, BB9 = 2.7. 2, SO9 = 6.6. 2, SO/BB\n",
       "= 2.50. 2, Awards = . 3, Player = Don Gullett*. 3, Age = 26. 3, W = 0. 3, L = 2. 3, W-L% = .000. 3, ERA = 7.98. 3, \n",
       "G = 3. 3, GS = 3. 3, GF = 0. 3, CG = 0. 3, SHO = 0. 3, SV = 0. 3, IP = 14.2. 3, H = 17. 3, R = 14. 3, ER = 13. 3, \n",
       "HR = 2. 3, BB = 9. 3, IBB = 0. 3, SO = 10. 3, HBP = 1. 3, BK = 0. 3, WP = 0. 3, BF = 69. 3, FIP = 5.19. 3, WHIP = \n",
       "1.773. 3, H9 = 10.4. 3, HR9 = 1.2. 3, BB9 = 5.5. 3, SO9 = 6.1. 3, SO/BB = 1.11. 3, Awards = . 4, Player = Sparky \n",
       "Lyle*. 4, Age = 32. 4, W = 3. 4, L = 0. 4, W-L% = 1.000. 4, ERA = 1.29. 4, G = 6. 4, GS = 0. 4, GF = 6. 4, CG = 0. \n",
       "4, SHO = 0. 4, SV = 0. 4, IP = 14.0. 4, H = 9. 4, R = 2. 4, ER = 2. 4, HR = 1. 4, BB = 0. 4, IBB = 0. 4, SO = 5. 4,\n",
       "HBP = 0. 4, BK = 0. 4, WP = 0. 4, BF = 48. 4, FIP = 2.95. 4, WHIP = 0.643. 4, H9 = 5.8. 4, HR9 = 0.6. 4, BB9 = 0.0.\n",
       "4, SO9 = 3.2. 4, SO/BB = . 4, Awards = . 5, Player = Dick Tidrow. 5, Age = 30. 5, W = 0. 5, L = 0. 5, W-L% = . 5, \n",
       "ERA = 4.22. 5, G = 4. 5, GS = 0. 5, GF = 0. 5, CG = 0. 5, SHO = 0. 5, SV = 0. 5, IP = 10.2. 5, H = 11. 5, R = 5. 5,\n",
       "ER = 5. 5, HR = 3. 5, BB = 3. 5, IBB = 0. 5, SO = 4. 5, HBP = 0. 5, BK = 0. 5, WP = 0. 5, BF = 44. 5, FIP = 6.49. \n",
       "5, WHIP = 1.313. 5, H9 = 9.3. 5, HR9 = 2.5. 5, BB9 = 2.5. 5, SO9 = 3.4. 5, SO/BB = 1.33. 5, Awards = . 6, Player = \n",
       "Catfish Hunter. 6, Age = 31. 6, W = 0. 6, L = 1. 6, W-L% = .000. 6, ERA = 10.38. 6, G = 2. 6, GS = 1. 6, GF = 1. 6,\n",
       "CG = 0. 6, SHO = 0. 6, SV = 0. 6, IP = 4.1. 6, H = 6. 6, R = 5. 6, ER = 5. 6, HR = 3. 6, BB = 0. 6, IBB = 0. 6, SO \n",
       "= 1. 6, HBP = 0. 6, BK = 0. 6, WP = 0. 6, BF = 19. 6, FIP = 11.28. 6, WHIP = 1.385. 6, H9 = 12.5. 6, HR9 = 6.2. 6, \n",
       "BB9 = 0.0. 6, SO9 = 2.1. 6, SO/BB = . 6, Awards = . 7, Player = Ken Clay. 7, Age = 23. 7, W = 0. 7, L = 0. 7, W-L% \n",
       "= . 7, ERA = 2.45. 7, G = 2. 7, GS = 0. 7, GF = 0. 7, CG = 0. 7, SHO = 0. 7, SV = 0. 7, IP = 3.2. 7, H = 2. 7, R = \n",
       "1. 7, ER = 1. 7, HR = 0. 7, BB = 1. 7, IBB = 0. 7, SO = 0. 7, HBP = 0. 7, BK = 0. 7, WP = 0. 7, BF = 14. 7, FIP = \n",
       "3.56. 7, WHIP = 0.818. 7, H9 = 4.9. 7, HR9 = 0.0. 7, BB9 = 2.5. 7, SO9 = 0.0. 7, SO/BB = 0.00. 7, Awards = . 8, \n",
       "Player = Ed Figueroa. 8, Age = 28. 8, W = 0. 8, L = 0. 8, W-L% = . 8, ERA = 10.80. 8, G = 1. 8, GS = 1. 8, GF = 0. \n",
       "8, CG = 0. 8, SHO = 0. 8, SV = 0. 8, IP = 3.1. 8, H = 5. 8, R = 4. 8, ER = 4. 8, HR = 0. 8, BB = 2. 8, IBB = 0. 8, \n",
       "SO = 3. 8, HBP = 0. 8, BK = 0. 8, WP = 0. 8, BF = 17. 8, FIP = 2.74. 8, WHIP = 2.100. 8, H9 = 13.5. 8, HR9 = 0.0. \n",
       "8, BB9 = 5.4. 8, SO9 = 8.1. 8, SO/BB = 1.50. 8, Awards = . , Player = Team Totals. , Age = . , W = 7. , L = 4. , \n",
       "W-L% = .636. , ERA = 4.23. , G = 11. , GS = 11. , GF = 7. , CG = 4. , SHO = 0. , SV = 0. , IP = 100.0. , H = 90. , \n",
       "R = 50. , ER = 47. , HR = 12. , BB = 31. , IBB = 0. , SO = 58. , HBP = 1. , BK = 0. , WP = 0. , BF = 409. , FIP = \n",
       "4.10. , WHIP = 1.210. , H9 = 8.1. , HR9 = 1.1. , BB9 = 2.8. , SO9 = 5.2. , SO/BB = 1.87. , Awards = \n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Standard Pitching\n",
       "1, Player = Ed Figueroa. 1, Age = 28. 1, Pos = SP. 1, WAR = 3.3. 1, W = 16. 1, L = 11. 1, W-L% = .593. 1, ERA = \n",
       "3.57. 1, G = 32. 1, GS = 32. 1, GF = 0. 1, CG = 12. 1, SHO = 2. 1, SV = 0. 1, IP = 239.1. 1, H = 228. 1, R = 102. \n",
       "1, ER = 95. 1, HR = 19. 1, BB = 75. 1, IBB = 1. 1, SO = 104. 1, HBP = 3. 1, BK = 0. 1, WP = 3. 1, BF = 999. 1, ERA+\n",
       "= 111. 1, FIP = 3.88. 1, WHIP = 1.266. 1, H9 = 8.6. 1, HR9 = 0.7. 1, BB9 = 2.8. 1, SO9 = 3.9. 1, SO/BB = 1.39. 1, \n",
       "Awards = . 2, Player = Mike Torrez. 2, Age = 30. 2, Pos = SP. 2, WAR = 2.4. 2, W = 14. 2, L = 12. 2, W-L% = .538. \n",
       "2, ERA = 3.82. 2, G = 31. 2, GS = 31. 2, GF = 0. 2, CG = 15. 2, SHO = 2. 2, SV = 0. 2, IP = 217.0. 2, H = 212. 2, R\n",
       "= 99. 2, ER = 92. 2, HR = 20. 2, BB = 75. 2, IBB = 1. 2, SO = 90. 2, HBP = 6. 2, BK = 0. 2, WP = 4. 2, BF = 914. 2,\n",
       "ERA+ = 104. 2, FIP = 4.23. 2, WHIP = 1.323. 2, H9 = 8.8. 2, HR9 = 0.8. 2, BB9 = 3.1. 2, SO9 = 3.7. 2, SO/BB = 1.20.\n",
       "2, Awards = . 3, Player = Ron Guidry*. 3, Age = 26. 3, Pos = SP. 3, WAR = 4.8. 3, W = 16. 3, L = 7. 3, W-L% = .696.\n",
       "3, ERA = 2.82. 3, G = 31. 3, GS = 25. 3, GF = 4. 3, CG = 9. 3, SHO = 5. 3, SV = 1. 3, IP = 210.2. 3, H = 174. 3, R \n",
       "= 72. 3, ER = 66. 3, HR = 12. 3, BB = 65. 3, IBB = 2. 3, SO = 176. 3, HBP = 0. 3, BK = 0. 3, WP = 6. 3, BF = 850. \n",
       "3, ERA+ = 140. 3, FIP = 2.73. 3, WHIP = 1.134. 3, H9 = 7.4. 3, HR9 = 0.5. 3, BB9 = 2.8. 3, SO9 = 7.5. 3, SO/BB = \n",
       "2.71. 3, Awards = CYA-7,MVP-18. 4, Player = Don Gullett*. 4, Age = 26. 4, Pos = SP. 4, WAR = 2.0. 4, W = 14. 4, L =\n",
       "4. 4, W-L% = .778. 4, ERA = 3.58. 4, G = 22. 4, GS = 22. 4, GF = 0. 4, CG = 7. 4, SHO = 1. 4, SV = 0. 4, IP = \n",
       "158.1. 4, H = 137. 4, R = 67. 4, ER = 63. 4, HR = 14. 4, BB = 69. 4, IBB = 1. 4, SO = 116. 4, HBP = 1. 4, BK = 0. \n",
       "4, WP = 4. 4, BF = 667. 4, ERA+ = 111. 4, FIP = 3.75. 4, WHIP = 1.301. 4, H9 = 7.8. 4, HR9 = 0.8. 4, BB9 = 3.9. 4, \n",
       "SO9 = 6.6. 4, SO/BB = 1.68. 4, Awards = . 5, Player = Catfish Hunter. 5, Age = 31. 5, Pos = SP. 5, WAR = -0.4. 5, W\n",
       "= 9. 5, L = 9. 5, W-L% = .500. 5, ERA = 4.71. 5, G = 22. 5, GS = 22. 5, GF = 0. 5, CG = 8. 5, SHO = 1. 5, SV = 0. \n",
       "5, IP = 143.1. 5, H = 137. 5, R = 83. 5, ER = 75. 5, HR = 29. 5, BB = 47. 5, IBB = 3. 5, SO = 52. 5, HBP = 3. 5, BK\n",
       "= 1. 5, WP = 2. 5, BF = 608. 5, ERA+ = 84. 5, FIP = 5.69. 5, WHIP = 1.284. 5, H9 = 8.6. 5, HR9 = 1.8. 5, BB9 = 3.0.\n",
       "5, SO9 = 3.3. 5, SO/BB = 1.11. 5, Awards = . 6, Player = Ken Holtzman*. 6, Age = 31. 6, Pos = SP. 6, WAR = -1.4. 6,\n",
       "W = 2. 6, L = 3. 6, W-L% = .400. 6, ERA = 5.78. 6, G = 18. 6, GS = 11. 6, GF = 4. 6, CG = 0. 6, SHO = 0. 6, SV = 0.\n",
       "6, IP = 71.2. 6, H = 105. 6, R = 55. 6, ER = 46. 6, HR = 7. 6, BB = 24. 6, IBB = 2. 6, SO = 14. 6, HBP = 1. 6, BK =\n",
       "0. 6, WP = 4. 6, BF = 323. 6, ERA+ = 69. 6, FIP = 4.66. 6, WHIP = 1.800. 6, H9 = 13.2. 6, HR9 = 0.9. 6, BB9 = 3.0. \n",
       "6, SO9 = 1.8. 6, SO/BB = 0.58. 6, Awards = . Rk, Player = Player. Rk, Age = Age. Rk, Pos = Pos. Rk, WAR = WAR. Rk, \n",
       "W = W. Rk, L = L. Rk, W-L% = W-L%. Rk, ERA = ERA. Rk, G = G. Rk, GS = GS. Rk, GF = GF. Rk, CG = CG. Rk, SHO = SHO. \n",
       "Rk, SV = SV. Rk, IP = IP. Rk, H = H. Rk, R = R. Rk, ER = ER. Rk, HR = HR. Rk, BB = BB. Rk, IBB = IBB. Rk, SO = SO. \n",
       "Rk, HBP = HBP. Rk, BK = BK. Rk, WP = WP. Rk, BF = BF. Rk, ERA+ = ERA+. Rk, FIP = FIP. Rk, WHIP = WHIP. Rk, H9 = H9.\n",
       "Rk, HR9 = HR9. Rk, BB9 = BB9. Rk, SO9 = SO9. Rk, SO/BB = SO/BB. Rk, Awards = Awards. 7, Player = Sparky Lyle*. 7, \n",
       "Age = 32. 7, Pos = CL. 7, WAR = 3.7. 7, W = 13. 7, L = 5. 7, W-L% = .722. 7, ERA = 2.17. 7, G = 72. 7, GS = 0. 7, \n",
       "GF = 60. 7, CG = 0. 7, SHO = 0. 7, SV = 26. 7, IP = 137.0. 7, H = 131. 7, R = 41. 7, ER = 33. 7, HR = 7. 7, BB = \n",
       "33. 7, IBB = 6. 7, SO = 68. 7, HBP = 2. 7, BK = 0. 7, WP = 10. 7, BF = 554. 7, ERA+ = 183. 7, FIP = 3.18. 7, WHIP =\n",
       "1.197. 7, H9 = 8.6. 7, HR9 = 0.5. 7, BB9 = 2.2. 7, SO9 = 4.5. 7, SO/BB = 2.06. 7, Awards = AS,CYA-1,MVP-6. 8, \n",
       "Player = Dick Tidrow. 8, Age = 30. 8, Pos = RP. 8, WAR = 2.4. 8, W = 11. 8, L = 4. 8, W-L% = .733. 8, ERA = 3.16. \n",
       "8, G = 49. 8, GS = 7. 8, GF = 26. 8, CG = 0. 8, SHO = 0. 8, SV = 5. 8, IP = 151.0. 8, H = 143. 8, R = 57. 8, ER = \n",
       "53. 8, HR = 20. 8, BB = 41. 8, IBB = 11. 8, SO = 83. 8, HBP = 2. 8, BK = 0. 8, WP = 2. 8, BF = 624. 8, ERA+ = 125. \n",
       "8, FIP = 4.22. 8, WHIP = 1.219. 8, H9 = 8.5. 8, HR9 = 1.2. 8, BB9 = 2.4. 8, SO9 = 4.9. 8, SO/BB = 2.02. 8, Awards =\n",
       ". 9, Player = Ken Clay. 9, Age = 23. 9, Pos = RP. 9, WAR = -0.4. 9, W = 2. 9, L = 3. 9, W-L% = .400. 9, ERA = 4.37.\n",
       "9, G = 21. 9, GS = 3. 9, GF = 11. 9, CG = 0. 9, SHO = 0. 9, SV = 1. 9, IP = 55.2. 9, H = 53. 9, R = 32. 9, ER = 27.\n",
       "9, HR = 6. 9, BB = 24. 9, IBB = 3. 9, SO = 20. 9, HBP = 1. 9, BK = 0. 9, WP = 0. 9, BF = 239. 9, ERA+ = 91. 9, FIP \n",
       "= 4.77. 9, WHIP = 1.383. 9, H9 = 8.6. 9, HR9 = 1.0. 9, BB9 = 3.9. 9, SO9 = 3.2. 9, SO/BB = 0.83. 9, Awards = . Rk, \n",
       "Player = Player. Rk, Age = Age. Rk, Pos = Pos. Rk, WAR = WAR. Rk, W = W. Rk, L = L. Rk, W-L% = W-L%. Rk, ERA = ERA.\n",
       "Rk, G = G. Rk, GS = GS. Rk, GF = GF. Rk, CG = CG. Rk, SHO = SHO. Rk, SV = SV. Rk, IP = IP. Rk, H = H. Rk, R = R. \n",
       "Rk, ER = ER. Rk, HR = HR. Rk, BB = BB. Rk, IBB = IBB. Rk, SO = SO. Rk, HBP = HBP. Rk, BK = BK. Rk, WP = WP. Rk, BF \n",
       "= BF. Rk, ERA+ = ERA+. Rk, FIP = FIP. Rk, WHIP = WHIP. Rk, H9 = H9. Rk, HR9 = HR9. Rk, BB9 = BB9. Rk, SO9 = SO9. \n",
       "Rk, SO/BB = SO/BB. Rk, Awards = Awards. 10, Player = Gil Patterson. 10, Age = 21. 10, Pos = . 10, WAR = -0.1. 10, W\n",
       "= 1. 10, L = 2. 10, W-L% = .333. 10, ERA = 5.40. 10, G = 10. 10, GS = 6. 10, GF = 3. 10, CG = 0. 10, SHO = 0. 10, \n",
       "SV = 1. 10, IP = 33.1. 10, H = 38. 10, R = 20. 10, ER = 20. 10, HR = 3. 10, BB = 20. 10, IBB = 1. 10, SO = 29. 10, \n",
       "HBP = 3. 10, BK = 0. 10, WP = 3. 10, BF = 156. 10, ERA+ = 74. 10, FIP = 4.24. 10, WHIP = 1.740. 10, H9 = 10.3. 10, \n",
       "HR9 = 0.8. 10, BB9 = 5.4. 10, SO9 = 7.8. 10, SO/BB = 1.45. 10, Awards = . 11, Player = Dock Ellis. 11, Age = 32. \n",
       "11, Pos = . 11, WAR = 0.2. 11, W = 1. 11, L = 1. 11, W-L% = .500. 11, ERA = 1.83. 11, G = 3. 11, GS = 3. 11, GF = \n",
       "0. 11, CG = 1. 11, SHO = 0. 11, SV = 0. 11, IP = 19.2. 11, H = 18. 11, R = 9. 11, ER = 4. 11, HR = 1. 11, BB = 8. \n",
       "11, IBB = 0. 11, SO = 5. 11, HBP = 0. 11, BK = 1. 11, WP = 1. 11, BF = 85. 11, ERA+ = 220. 11, FIP = 4.11. 11, WHIP\n",
       "= 1.322. 11, H9 = 8.2. 11, HR9 = 0.5. 11, BB9 = 3.7. 11, SO9 = 2.3. 11, SO/BB = 0.63. 11, Awards = . 12, Player = \n",
       "Stan Thomas. 12, Age = 27. 12, Pos = . 12, WAR = -0.3. 12, W = 1. 12, L = 0. 12, W-L% = 1.000. 12, ERA = 7.11. 12, \n",
       "G = 3. 12, GS = 0. 12, GF = 2. 12, CG = 0. 12, SHO = 0. 12, SV = 0. 12, IP = 6.1. 12, H = 7. 12, R = 7. 12, ER = 5.\n",
       "12, HR = 0. 12, BB = 4. 12, IBB = 0. 12, SO = 1. 12, HBP = 0. 12, BK = 0. 12, WP = 0. 12, BF = 31. 12, ERA+ = 59. \n",
       "12, FIP = 4.32. 12, WHIP = 1.737. 12, H9 = 9.9. 12, HR9 = 0.0. 12, BB9 = 5.7. 12, SO9 = 1.4. 12, SO/BB = 0.25. 12, \n",
       "Awards = . 13, Player = Larry McCall. 13, Age = 24. 13, Pos = . 13, WAR = -0.3. 13, W = 0. 13, L = 1. 13, W-L% = \n",
       ".000. 13, ERA = 7.50. 13, G = 2. 13, GS = 0. 13, GF = 0. 13, CG = 0. 13, SHO = 0. 13, SV = 0. 13, IP = 6.0. 13, H =\n",
       "12. 13, R = 7. 13, ER = 5. 13, HR = 1. 13, BB = 1. 13, IBB = 0. 13, SO = 0. 13, HBP = 0. 13, BK = 0. 13, WP = 0. \n",
       "13, BF = 33. 13, ERA+ = 56. 13, FIP = 5.41. 13, WHIP = 2.167. 13, H9 = 18.0. 13, HR9 = 1.5. 13, BB9 = 1.5. 13, SO9 \n",
       "= 0.0. 13, SO/BB = 0.00. 13, Awards = . , Player = Team Totals. , Age = . , Pos = . , WAR = 16.0. , W = 100. , L = \n",
       "62. , W-L% = .617. , ERA = 3.63. , G = 162. , GS = 162. , GF = 110. , CG = 52. , SHO = 11. , SV = 34. , IP = \n",
       "1449.1. , H = 1395. , R = 651. , ER = 584. , HR = 139. , BB = 486. , IBB = 31. , SO = 758. , HBP = 22. , BK = 2. , \n",
       "WP = 39. , BF = 6083. , ERA+ = 109. , FIP = 3.99. , WHIP = 1.298. , H9 = 8.7. , HR9 = 0.9. , BB9 = 3.0. , SO9 = \n",
       "4.7. , SO/BB = 1.56. , Awards = \n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Standard Pitching\n",
       "✨✨\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Standard Pitching\n",
       "✨✨\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Standard Batting\n",
       "* - bats left-handed, # - bats both, else - bats right, ? - unknown\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Standard Batting\n",
       "* - bats left-handed, # - bats both, else - bats right, ? - unknown\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Standard Batting\n",
       "1, Player = Mickey Rivers*. 1, Age = 28. 1, G = 11. 1, PA = 50. 1, AB = 50. 1, R = 6. 1, H = 15. 1, 2B = 4. 1, 3B =\n",
       "0. 1, HR = 0. 1, RBI = 3. 1, SB = 2. 1, CS = 0. 1, BB = 0. 1, SO = 4. 1, BA = .300. 1, OBP = .300. 1, SLG = .380. \n",
       "1, OPS = .680. 1, TB = 19. 1, GIDP = 0. 1, HBP = 0. 1, SH = 0. 1, SF = 0. 1, IBB = 0. 1, Pos = *8. 1, Awards = . 2,\n",
       "Player = Thurman Munson. 2, Age = 30. 2, G = 11. 2, PA = 49. 2, AB = 46. 2, R = 7. 2, H = 14. 2, 2B = 3. 2, 3B = 0.\n",
       "2, HR = 2. 2, RBI = 8. 2, SB = 0. 2, CS = 0. 2, BB = 2. 2, SO = 10. 2, BA = .304. 2, OBP = .327. 2, SLG = .500. 2, \n",
       "OPS = .827. 2, TB = 23. 2, GIDP = 1. 2, HBP = 0. 2, SH = 0. 2, SF = 1. 2, IBB = 1. 2, Pos = *2. 2, Awards = . 3, \n",
       "Player = Willie Randolph. 3, Age = 22. 3, G = 11. 3, PA = 47. 3, AB = 43. 3, R = 9. 3, H = 9. 3, 2B = 3. 3, 3B = 0.\n",
       "3, HR = 1. 3, RBI = 3. 3, SB = 0. 3, CS = 0. 3, BB = 3. 3, SO = 2. 3, BA = .209. 3, OBP = .255. 3, SLG = .349. 3, \n",
       "OPS = .604. 3, TB = 15. 3, GIDP = 1. 3, HBP = 0. 3, SH = 0. 3, SF = 1. 3, IBB = 0. 3, Pos = *4. 3, Awards = . 4, \n",
       "Player = Lou Piniella. 4, Age = 33. 4, G = 11. 4, PA = 45. 4, AB = 43. 4, R = 2. 4, H = 13. 4, 2B = 3. 4, 3B = 0. \n",
       "4, HR = 0. 4, RBI = 5. 4, SB = 0. 4, CS = 0. 4, BB = 0. 4, SO = 4. 4, BA = .302. 4, OBP = .311. 4, SLG = .372. 4, \n",
       "OPS = .683. 4, TB = 16. 4, GIDP = 1. 4, HBP = 1. 4, SH = 0. 4, SF = 1. 4, IBB = 0. 4, Pos = *7/D. 4, Awards = . 5, \n",
       "Player = Chris Chambliss*. 5, Age = 28. 5, G = 11. 5, PA = 44. 5, AB = 41. 5, R = 4. 5, H = 8. 5, 2B = 2. 5, 3B = \n",
       "0. 5, HR = 1. 5, RBI = 4. 5, SB = 0. 5, CS = 0. 5, BB = 3. 5, SO = 6. 5, BA = .195. 5, OBP = .250. 5, SLG = .317. \n",
       "5, OPS = .567. 5, TB = 13. 5, GIDP = 1. 5, HBP = 0. 5, SH = 0. 5, SF = 0. 5, IBB = 2. 5, Pos = *3. 5, Awards = . 6,\n",
       "Player = Graig Nettles*. 6, Age = 32. 6, G = 11. 6, PA = 43. 6, AB = 41. 6, R = 2. 6, H = 7. 6, 2B = 1. 6, 3B = 0. \n",
       "6, HR = 0. 6, RBI = 3. 6, SB = 0. 6, CS = 0. 6, BB = 2. 6, SO = 6. 6, BA = .171. 6, OBP = .209. 6, SLG = .195. 6, \n",
       "OPS = .404. 6, TB = 8. 6, GIDP = 0. 6, HBP = 0. 6, SH = 0. 6, SF = 0. 6, IBB = 0. 6, Pos = *5. 6, Awards = . 7, \n",
       "Player = Reggie Jackson*. 7, Age = 31. 7, G = 11. 7, PA = 42. 7, AB = 36. 7, R = 11. 7, H = 11. 7, 2B = 1. 7, 3B = \n",
       "0. 7, HR = 5. 7, RBI = 9. 7, SB = 1. 7, CS = 0. 7, BB = 5. 7, SO = 6. 7, BA = .306. 7, OBP = .405. 7, SLG = .750. \n",
       "7, OPS = 1.155. 7, TB = 27. 7, GIDP = 1. 7, HBP = 1. 7, SH = 0. 7, SF = 0. 7, IBB = 0. 7, Pos = *9/DH. 7, Awards = \n",
       "WS MVP. 8, Player = Bucky Dent. 8, Age = 25. 8, G = 11. 8, PA = 37. 8, AB = 33. 8, R = 1. 8, H = 8. 8, 2B = 1. 8, \n",
       "3B = 0. 8, HR = 0. 8, RBI = 4. 8, SB = 0. 8, CS = 0. 8, BB = 3. 8, SO = 1. 8, BA = .242. 8, OBP = .306. 8, SLG = \n",
       ".273. 8, OPS = .578. 8, TB = 9. 8, GIDP = 0. 8, HBP = 0. 8, SH = 1. 8, SF = 0. 8, IBB = 0. 8, Pos = *6. 8, Awards =\n",
       ". 9, Player = Cliff Johnson. 9, Age = 29. 9, G = 7. 9, PA = 17. 9, AB = 16. 9, R = 2. 9, H = 6. 9, 2B = 2. 9, 3B = \n",
       "0. 9, HR = 1. 9, RBI = 2. 9, SB = 0. 9, CS = 0. 9, BB = 1. 9, SO = 2. 9, BA = .375. 9, OBP = .412. 9, SLG = .688. \n",
       "9, OPS = 1.099. 9, TB = 11. 9, GIDP = 0. 9, HBP = 0. 9, SH = 0. 9, SF = 0. 9, IBB = 0. 9, Pos = /DH2. 9, Awards = .\n",
       "10, Player = Paul Blair. 10, Age = 33. 10, G = 7. 10, PA = 9. 10, AB = 9. 10, R = 1. 10, H = 3. 10, 2B = 0. 10, 3B \n",
       "= 0. 10, HR = 0. 10, RBI = 1. 10, SB = 0. 10, CS = 0. 10, BB = 0. 10, SO = 0. 10, BA = .333. 10, OBP = .333. 10, \n",
       "SLG = .333. 10, OPS = .667. 10, TB = 3. 10, GIDP = 0. 10, HBP = 0. 10, SH = 0. 10, SF = 0. 10, IBB = 0. 10, Pos = \n",
       "/9H. 10, Awards = . 11, Player = Roy White#. 11, Age = 33. 11, G = 6. 11, PA = 8. 11, AB = 7. 11, R = 2. 11, H = 2.\n",
       "11, 2B = 2. 11, 3B = 0. 11, HR = 0. 11, RBI = 0. 11, SB = 0. 11, CS = 0. 11, BB = 1. 11, SO = 0. 11, BA = .286. 11,\n",
       "OBP = .375. 11, SLG = .571. 11, OPS = .946. 11, TB = 4. 11, GIDP = 0. 11, HBP = 0. 11, SH = 0. 11, SF = 0. 11, IBB \n",
       "= 0. 11, Pos = /H7D. 11, Awards = . 12, Player = Mike Torrez. 12, Age = 30. 12, G = 4. 12, PA = 7. 12, AB = 6. 12, \n",
       "R = 0. 12, H = 0. 12, 2B = 0. 12, 3B = 0. 12, HR = 0. 12, RBI = 0. 12, SB = 0. 12, CS = 0. 12, BB = 0. 12, SO = 4. \n",
       "12, BA = .000. 12, OBP = .000. 12, SLG = .000. 12, OPS = .000. 12, TB = 0. 12, GIDP = 0. 12, HBP = 0. 12, SH = 1. \n",
       "12, SF = 0. 12, IBB = 0. 12, Pos = /1. 12, Awards = . 13, Player = Don Gullett. 13, Age = 26. 13, G = 3. 13, PA = \n",
       "4. 13, AB = 2. 13, R = 0. 13, H = 0. 13, 2B = 0. 13, 3B = 0. 13, HR = 0. 13, RBI = 0. 13, SB = 0. 13, CS = 0. 13, \n",
       "BB = 0. 13, SO = 2. 13, BA = .000. 13, OBP = .000. 13, SLG = .000. 13, OPS = .000. 13, TB = 0. 13, GIDP = 0. 13, \n",
       "HBP = 0. 13, SH = 2. 13, SF = 0. 13, IBB = 0. 13, Pos = /1. 13, Awards = . 14, Player = Ron Guidry*. 14, Age = 26. \n",
       "14, G = 3. 14, PA = 3. 14, AB = 2. 14, R = 0. 14, H = 0. 14, 2B = 0. 14, 3B = 0. 14, HR = 0. 14, RBI = 0. 14, SB = \n",
       "0. 14, CS = 0. 14, BB = 0. 14, SO = 1. 14, BA = .000. 14, OBP = .000. 14, SLG = .000. 14, OPS = .000. 14, TB = 0. \n",
       "14, GIDP = 0. 14, HBP = 0. 14, SH = 1. 14, SF = 0. 14, IBB = 0. 14, Pos = /1. 14, Awards = . 15, Player = George \n",
       "Zeber#. 15, Age = 26. 15, G = 2. 15, PA = 2. 15, AB = 2. 15, R = 0. 15, H = 0. 15, 2B = 0. 15, 3B = 0. 15, HR = 0. \n",
       "15, RBI = 0. 15, SB = 0. 15, CS = 0. 15, BB = 0. 15, SO = 2. 15, BA = .000. 15, OBP = .000. 15, SLG = .000. 15, OPS\n",
       "= .000. 15, TB = 0. 15, GIDP = 0. 15, HBP = 0. 15, SH = 0. 15, SF = 0. 15, IBB = 0. 15, Pos = /H. 15, Awards = . \n",
       "16, Player = Sparky Lyle*. 16, Age = 32. 16, G = 6. 16, PA = 2. 16, AB = 2. 16, R = 0. 16, H = 0. 16, 2B = 0. 16, \n",
       "3B = 0. 16, HR = 0. 16, RBI = 0. 16, SB = 0. 16, CS = 0. 16, BB = 0. 16, SO = 2. 16, BA = .000. 16, OBP = .000. 16,\n",
       "SLG = .000. 16, OPS = .000. 16, TB = 0. 16, GIDP = 0. 16, HBP = 0. 16, SH = 0. 16, SF = 0. 16, IBB = 0. 16, Pos = \n",
       "/1. 16, Awards = . 17, Player = Dick Tidrow. 17, Age = 30. 17, G = 4. 17, PA = 1. 17, AB = 1. 17, R = 0. 17, H = 0.\n",
       "17, 2B = 0. 17, 3B = 0. 17, HR = 0. 17, RBI = 0. 17, SB = 0. 17, CS = 0. 17, BB = 0. 17, SO = 1. 17, BA = .000. 17,\n",
       "OBP = .000. 17, SLG = .000. 17, OPS = .000. 17, TB = 0. 17, GIDP = 0. 17, HBP = 0. 17, SH = 0. 17, SF = 0. 17, IBB \n",
       "= 0. 17, Pos = /1. 17, Awards = . 18, Player = Fred Stanley. 18, Age = 29. 18, G = 3. 18, PA = 0. 18, AB = 0. 18, R\n",
       "= 0. 18, H = 0. 18, 2B = 0. 18, 3B = 0. 18, HR = 0. 18, RBI = 0. 18, SB = 0. 18, CS = 0. 18, BB = 0. 18, SO = 0. \n",
       "18, BA = . 18, OBP = . 18, SLG = . 18, OPS = . 18, TB = 0. 18, GIDP = . 18, HBP = 0. 18, SH = 0. 18, SF = . 18, IBB\n",
       "= . 18, Pos = /6. 18, Awards = . 19, Player = Catfish Hunter. 19, Age = 31. 19, G = 2. 19, PA = 0. 19, AB = 0. 19, \n",
       "R = 0. 19, H = 0. 19, 2B = 0. 19, 3B = 0. 19, HR = 0. 19, RBI = 0. 19, SB = 0. 19, CS = 0. 19, BB = 0. 19, SO = 0. \n",
       "19, BA = . 19, OBP = . 19, SLG = . 19, OPS = . 19, TB = 0. 19, GIDP = . 19, HBP = 0. 19, SH = 0. 19, SF = . 19, IBB\n",
       "= . 19, Pos = /1. 19, Awards = . 20, Player = Ed Figueroa. 20, Age = 28. 20, G = 1. 20, PA = 0. 20, AB = 0. 20, R =\n",
       "0. 20, H = 0. 20, 2B = 0. 20, 3B = 0. 20, HR = 0. 20, RBI = 0. 20, SB = 0. 20, CS = 0. 20, BB = 0. 20, SO = 0. 20, \n",
       "BA = . 20, OBP = . 20, SLG = . 20, OPS = . 20, TB = 0. 20, GIDP = 0. 20, HBP = 0. 20, SH = 0. 20, SF = 0. 20, IBB =\n",
       "0. 20, Pos = /1. 20, Awards = . 21, Player = Ken Clay. 21, Age = 23. 21, G = 2. 21, PA = 0. 21, AB = 0. 21, R = 0. \n",
       "21, H = 0. 21, 2B = 0. 21, 3B = 0. 21, HR = 0. 21, RBI = 0. 21, SB = 0. 21, CS = 0. 21, BB = 0. 21, SO = 0. 21, BA \n",
       "= . 21, OBP = . 21, SLG = . 21, OPS = . 21, TB = 0. 21, GIDP = . 21, HBP = 0. 21, SH = 0. 21, SF = . 21, IBB = . \n",
       "21, Pos = /1. 21, Awards = . , Player = Team Totals. , Age = . , G = 11. , PA = 410. , AB = 380. , R = 47. , H = \n",
       "96. , 2B = 22. , 3B = 0. , HR = 10. , RBI = 42. , SB = 3. , CS = 0. , BB = 20. , SO = 53. , BA = .253. , OBP = \n",
       ".291. , SLG = .389. , OPS = .681. , TB = 148. , GIDP = 5. , HBP = 2. , SH = 5. , SF = 3. , IBB = 3. , Pos = . , \n",
       "Awards = \n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Standard Batting\n",
       "1, Player = Thurman Munson. 1, Age = 30. 1, Pos = C. 1, WAR = 4.9. 1, G = 149. 1, PA = 638. 1, AB = 595. 1, R = 85.\n",
       "1, H = 183. 1, 2B = 28. 1, 3B = 5. 1, HR = 18. 1, RBI = 100. 1, SB = 5. 1, CS = 6. 1, BB = 39. 1, SO = 55. 1, BA = \n",
       ".308. 1, OBP = .351. 1, SLG = .462. 1, OPS = .813. 1, OPS+ = 121. 1, rOBA = .372. 1, Rbat+ = 126. 1, TB = 275. 1, \n",
       "GIDP = 18. 1, HBP = 2. 1, SH = 0. 1, SF = 2. 1, IBB = 8. 1, Pos = *2D/H. 1, Awards = AS,MVP-7. 2, Player = Chris \n",
       "Chambliss*. 2, Age = 28. 2, Pos = 1B. 2, WAR = 2.4. 2, G = 157. 2, PA = 653. 2, AB = 600. 2, R = 90. 2, H = 172. 2,\n",
       "2B = 32. 2, 3B = 6. 2, HR = 17. 2, RBI = 90. 2, SB = 4. 2, CS = 0. 2, BB = 45. 2, SO = 73. 2, BA = .287. 2, OBP = \n",
       ".336. 2, SLG = .445. 2, OPS = .781. 2, OPS+ = 112. 2, rOBA = .353. 2, Rbat+ = 109. 2, TB = 267. 2, GIDP = 22. 2, \n",
       "HBP = 2. 2, SH = 0. 2, SF = 5. 2, IBB = 5. 2, Pos = *3/H. 2, Awards = MVP-29. 3, Player = Willie Randolph. 3, Age =\n",
       "22. 3, Pos = 2B. 3, WAR = 4.6. 3, G = 147. 3, PA = 624. 3, AB = 551. 3, R = 91. 3, H = 151. 3, 2B = 28. 3, 3B = 11.\n",
       "3, HR = 4. 3, RBI = 40. 3, SB = 13. 3, CS = 6. 3, BB = 64. 3, SO = 53. 3, BA = .274. 3, OBP = .347. 3, SLG = .387. \n",
       "3, OPS = .734. 3, OPS+ = 101. 3, rOBA = .344. 3, Rbat+ = 104. 3, TB = 213. 3, GIDP = 11. 3, HBP = 1. 3, SH = 2. 3, \n",
       "SF = 6. 3, IBB = 1. 3, Pos = *4/H. 3, Awards = AS. 4, Player = Bucky Dent. 4, Age = 25. 4, Pos = SS. 4, WAR = 2.7. \n",
       "4, G = 158. 4, PA = 540. 4, AB = 477. 4, R = 54. 4, H = 118. 4, 2B = 18. 4, 3B = 4. 4, HR = 8. 4, RBI = 49. 4, SB =\n",
       "1. 4, CS = 1. 4, BB = 39. 4, SO = 28. 4, BA = .247. 4, OBP = .300. 4, SLG = .352. 4, OPS = .653. 4, OPS+ = 79. 4, \n",
       "rOBA = .310. 4, Rbat+ = 80. 4, TB = 168. 4, GIDP = 9. 4, HBP = 1. 4, SH = 14. 4, SF = 9. 4, IBB = 0. 4, Pos = *6. \n",
       "4, Awards = . 5, Player = Graig Nettles*. 5, Age = 32. 5, Pos = 3B. 5, WAR = 5.5. 5, G = 158. 5, PA = 664. 5, AB = \n",
       "589. 5, R = 99. 5, H = 150. 5, 2B = 23. 5, 3B = 4. 5, HR = 37. 5, RBI = 107. 5, SB = 2. 5, CS = 5. 5, BB = 68. 5, \n",
       "SO = 79. 5, BA = .255. 5, OBP = .333. 5, SLG = .496. 5, OPS = .829. 5, OPS+ = 124. 5, rOBA = .365. 5, Rbat+ = 121. \n",
       "5, TB = 292. 5, GIDP = 8. 5, HBP = 3. 5, SH = 0. 5, SF = 4. 5, IBB = 8. 5, Pos = *5/DH. 5, Awards = AS,MVP-5,GG. 6,\n",
       "Player = Roy White#. 6, Age = 33. 6, Pos = LF. 6, WAR = 3.6. 6, G = 143. 6, PA = 606. 6, AB = 519. 6, R = 72. 6, H \n",
       "= 139. 6, 2B = 25. 6, 3B = 2. 6, HR = 14. 6, RBI = 52. 6, SB = 18. 6, CS = 11. 6, BB = 75. 6, SO = 58. 6, BA = \n",
       ".268. 6, OBP = .358. 6, SLG = .405. 6, OPS = .762. 6, OPS+ = 109. 6, rOBA = .355. 6, Rbat+ = 113. 6, TB = 210. 6, \n",
       "GIDP = 11. 6, HBP = 0. 6, SH = 8. 6, SF = 4. 6, IBB = 9. 6, Pos = *7/DH98. 6, Awards = . 7, Player = Mickey \n",
       "Rivers*. 7, Age = 28. 7, Pos = CF. 7, WAR = 5.3. 7, G = 138. 7, PA = 594. 7, AB = 565. 7, R = 79. 7, H = 184. 7, 2B\n",
       "= 18. 7, 3B = 5. 7, HR = 12. 7, RBI = 69. 7, SB = 22. 7, CS = 14. 7, BB = 18. 7, SO = 45. 7, BA = .326. 7, OBP = \n",
       ".350. 7, SLG = .439. 7, OPS = .789. 7, OPS+ = 115. 7, rOBA = .361. 7, Rbat+ = 118. 7, TB = 248. 7, GIDP = 2. 7, HBP\n",
       "= 4. 7, SH = 5. 7, SF = 2. 7, IBB = 4. 7, Pos = *8/HD. 7, Awards = MVP-11. 8, Player = Reggie Jackson*. 8, Age = \n",
       "31. 8, Pos = RF. 8, WAR = 4.5. 8, G = 146. 8, PA = 606. 8, AB = 525. 8, R = 93. 8, H = 150. 8, 2B = 39. 8, 3B = 2. \n",
       "8, HR = 32. 8, RBI = 110. 8, SB = 17. 8, CS = 3. 8, BB = 74. 8, SO = 129. 8, BA = .286. 8, OBP = .375. 8, SLG = \n",
       ".550. 8, OPS = .925. 8, OPS+ = 150. 8, rOBA = .411. 8, Rbat+ = 148. 8, TB = 289. 8, GIDP = 3. 8, HBP = 3. 8, SH = \n",
       "0. 8, SF = 4. 8, IBB = 4. 8, Pos = *9D/H. 8, Awards = AS,MVP-8. 9, Player = Carlos May*. 9, Age = 29. 9, Pos = DH. \n",
       "9, WAR = -1.1. 9, G = 65. 9, PA = 203. 9, AB = 181. 9, R = 21. 9, H = 41. 9, 2B = 7. 9, 3B = 1. 9, HR = 2. 9, RBI =\n",
       "16. 9, SB = 0. 9, CS = 0. 9, BB = 17. 9, SO = 24. 9, BA = .227. 9, OBP = .292. 9, SLG = .309. 9, OPS = .601. 9, \n",
       "OPS+ = 66. 9, rOBA = .273. 9, Rbat+ = 52. 9, TB = 56. 9, GIDP = 7. 9, HBP = 1. 9, SH = 1. 9, SF = 3. 9, IBB = 4. 9,\n",
       "Pos = DH/79. 9, Awards = . Rk, Player = Player. Rk, Age = Age. Rk, Pos = Pos. Rk, WAR = WAR. Rk, G = G. Rk, PA = \n",
       "PA. Rk, AB = AB. Rk, R = R. Rk, H = H. Rk, 2B = 2B. Rk, 3B = 3B. Rk, HR = HR. Rk, RBI = RBI. Rk, SB = SB. Rk, CS = \n",
       "CS. Rk, BB = BB. Rk, SO = SO. Rk, BA = BA. Rk, OBP = OBP. Rk, SLG = SLG. Rk, OPS = OPS. Rk, OPS+ = OPS+. Rk, rOBA =\n",
       "rOBA. Rk, Rbat+ = Rbat+. Rk, TB = TB. Rk, GIDP = GIDP. Rk, HBP = HBP. Rk, SH = SH. Rk, SF = SF. Rk, IBB = IBB. Rk, \n",
       "Pos = Pos. Rk, Awards = Awards. 10, Player = Lou Piniella. 10, Age = 33. 10, Pos = OF. 10, WAR = 1.4. 10, G = 103. \n",
       "10, PA = 369. 10, AB = 339. 10, R = 47. 10, H = 112. 10, 2B = 19. 10, 3B = 3. 10, HR = 12. 10, RBI = 45. 10, SB = \n",
       "2. 10, CS = 2. 10, BB = 20. 10, SO = 31. 10, BA = .330. 10, OBP = .365. 10, SLG = .510. 10, OPS = .876. 10, OPS+ = \n",
       "138. 10, rOBA = .388. 10, Rbat+ = 137. 10, TB = 173. 10, GIDP = 12. 10, HBP = 1. 10, SH = 5. 10, SF = 4. 10, IBB = \n",
       "3. 10, Pos = D97H/3. 10, Awards = . 11, Player = Paul Blair. 11, Age = 33. 11, Pos = CF. 11, WAR = 0.5. 11, G = 83.\n",
       "11, PA = 183. 11, AB = 164. 11, R = 20. 11, H = 43. 11, 2B = 4. 11, 3B = 3. 11, HR = 4. 11, RBI = 25. 11, SB = 3. \n",
       "11, CS = 2. 11, BB = 9. 11, SO = 16. 11, BA = .262. 11, OBP = .303. 11, SLG = .396. 11, OPS = .700. 11, OPS+ = 90. \n",
       "11, rOBA = .317. 11, Rbat+ = 86. 11, TB = 65. 11, GIDP = 7. 11, HBP = 2. 11, SH = 5. 11, SF = 3. 11, IBB = 1. 11, \n",
       "Pos = 89/H7D. 11, Awards = . 12, Player = Cliff Johnson. 12, Age = 29. 12, Pos = DH. 12, WAR = 1.9. 12, G = 56. 12,\n",
       "PA = 168. 12, AB = 142. 12, R = 24. 12, H = 42. 12, 2B = 8. 12, 3B = 0. 12, HR = 12. 12, RBI = 31. 12, SB = 0. 12, \n",
       "CS = 1. 12, BB = 20. 12, SO = 23. 12, BA = .296. 12, OBP = .405. 12, SLG = .606. 12, OPS = 1.010. 12, OPS+ = 173. \n",
       "12, rOBA = .437. 12, Rbat+ = 171. 12, TB = 86. 12, GIDP = 2. 12, HBP = 6. 12, SH = 0. 12, SF = 0. 12, IBB = 0. 12, \n",
       "Pos = D2H3. 12, Awards = . 13, Player = Jim Wynn. 13, Age = 35. 13, Pos = DH. 13, WAR = -0.2. 13, G = 30. 13, PA = \n",
       "92. 13, AB = 77. 13, R = 7. 13, H = 11. 13, 2B = 2. 13, 3B = 1. 13, HR = 1. 13, RBI = 3. 13, SB = 1. 13, CS = 0. \n",
       "13, BB = 15. 13, SO = 16. 13, BA = .143. 13, OBP = .283. 13, SLG = .234. 13, OPS = .516. 13, OPS+ = 44. 13, rOBA = \n",
       ".262. 13, Rbat+ = 44. 13, TB = 18. 13, GIDP = 0. 13, HBP = 0. 13, SH = 0. 13, SF = 0. 13, IBB = 1. 13, Pos = DH/79.\n",
       "13, Awards = . 14, Player = George Zeber#. 14, Age = 26. 14, Pos = 2B. 14, WAR = 0.6. 14, G = 25. 14, PA = 75. 14, \n",
       "AB = 65. 14, R = 8. 14, H = 21. 14, 2B = 3. 14, 3B = 0. 14, HR = 3. 14, RBI = 10. 14, SB = 0. 14, CS = 0. 14, BB = \n",
       "9. 14, SO = 11. 14, BA = .323. 14, OBP = .405. 14, SLG = .508. 14, OPS = .913. 14, OPS+ = 149. 14, rOBA = .416. 14,\n",
       "Rbat+ = 156. 14, TB = 33. 14, GIDP = 1. 14, HBP = 0. 14, SH = 1. 14, SF = 0. 14, IBB = 1. 14, Pos = 4/56DH. 14, \n",
       "Awards = . 15, Player = Fran Healy. 15, Age = 30. 15, Pos = C. 15, WAR = 0.2. 15, G = 27. 15, PA = 75. 15, AB = 67.\n",
       "15, R = 10. 15, H = 15. 15, 2B = 5. 15, 3B = 0. 15, HR = 0. 15, RBI = 7. 15, SB = 1. 15, CS = 0. 15, BB = 6. 15, SO\n",
       "= 13. 15, BA = .224. 15, OBP = .288. 15, SLG = .299. 15, OPS = .586. 15, OPS+ = 61. 15, rOBA = .300. 15, Rbat+ = \n",
       "70. 15, TB = 20. 15, GIDP = 1. 15, HBP = 0. 15, SH = 2. 15, SF = 0. 15, IBB = 0. 15, Pos = 2/H. 15, Awards = . 16, \n",
       "Player = Fred Stanley. 16, Age = 29. 16, Pos = SS. 16, WAR = 0.0. 16, G = 48. 16, PA = 56. 16, AB = 46. 16, R = 6. \n",
       "16, H = 12. 16, 2B = 0. 16, 3B = 0. 16, HR = 1. 16, RBI = 7. 16, SB = 1. 16, CS = 1. 16, BB = 8. 16, SO = 6. 16, BA\n",
       "= .261. 16, OBP = .370. 16, SLG = .326. 16, OPS = .696. 16, OPS+ = 93. 16, rOBA = .325. 16, Rbat+ = 94. 16, TB = \n",
       "15. 16, GIDP = 0. 16, HBP = 0. 16, SH = 2. 16, SF = 0. 16, IBB = 0. 16, Pos = 6/45H. 16, Awards = . 17, Player = \n",
       "Dell Alston*. 17, Age = 24. 17, Pos = DH. 17, WAR = 0.2. 17, G = 22. 17, PA = 45. 17, AB = 40. 17, R = 10. 17, H = \n",
       "13. 17, 2B = 4. 17, 3B = 0. 17, HR = 1. 17, RBI = 4. 17, SB = 3. 17, CS = 3. 17, BB = 3. 17, SO = 4. 17, BA = .325.\n",
       "17, OBP = .364. 17, SLG = .500. 17, OPS = .864. 17, OPS+ = 135. 17, rOBA = .381. 17, Rbat+ = 143. 17, TB = 20. 17, \n",
       "GIDP = 2. 17, HBP = 0. 17, SH = 1. 17, SF = 1. 17, IBB = 0. 17, Pos = HD/9. 17, Awards = . 18, Player = Dave \n",
       "Kingman. 18, Age = 28. 18, Pos = DH. 18, WAR = 0.4. 18, G = 8. 18, PA = 27. 18, AB = 24. 18, R = 5. 18, H = 6. 18, \n",
       "2B = 2. 18, 3B = 0. 18, HR = 4. 18, RBI = 7. 18, SB = 0. 18, CS = 1. 18, BB = 2. 18, SO = 13. 18, BA = .250. 18, \n",
       "OBP = .333. 18, SLG = .833. 18, OPS = 1.167. 18, OPS+ = 208. 18, rOBA = .497. 18, Rbat+ = 224. 18, TB = 20. 18, \n",
       "GIDP = 0. 18, HBP = 1. 18, SH = 0. 18, SF = 0. 18, IBB = 0. 18, Pos = /DH. 18, Awards = . 19, Player = Mickey \n",
       "Klutts. 19, Age = 22. 19, Pos = IF. 19, WAR = 0.4. 19, G = 5. 19, PA = 18. 19, AB = 15. 19, R = 3. 19, H = 4. 19, \n",
       "2B = 1. 19, 3B = 0. 19, HR = 1. 19, RBI = 4. 19, SB = 0. 19, CS = 1. 19, BB = 2. 19, SO = 1. 19, BA = .267. 19, OBP\n",
       "= .389. 19, SLG = .533. 19, OPS = .922. 19, OPS+ = 150. 19, rOBA = .380. 19, Rbat+ = 149. 19, TB = 8. 19, GIDP = 0.\n",
       "19, HBP = 1. 19, SH = 0. 19, SF = 0. 19, IBB = 0. 19, Pos = /56. 19, Awards = . 20, Player = Elrod Hendricks*. 20, \n",
       "Age = 36. 20, Pos = C. 20, WAR = 0.0. 20, G = 10. 20, PA = 11. 20, AB = 11. 20, R = 1. 20, H = 3. 20, 2B = 1. 20, \n",
       "3B = 0. 20, HR = 1. 20, RBI = 5. 20, SB = 0. 20, CS = 0. 20, BB = 0. 20, SO = 2. 20, BA = .273. 20, OBP = .273. 20,\n",
       "SLG = .636. 20, OPS = .909. 20, OPS+ = 141. 20, rOBA = .387. 20, Rbat+ = 134. 20, TB = 7. 20, GIDP = 0. 20, HBP = \n",
       "0. 20, SH = 0. 20, SF = 0. 20, IBB = 0. 20, Pos = /2H. 20, Awards = . 21, Player = Dave Bergman*. 21, Age = 24. 21,\n",
       "Pos = UT. 21, WAR = -0.1. 21, G = 5. 21, PA = 5. 21, AB = 4. 21, R = 1. 21, H = 1. 21, 2B = 0. 21, 3B = 0. 21, HR =\n",
       "0. 21, RBI = 1. 21, SB = 0. 21, CS = 0. 21, BB = 0. 21, SO = 0. 21, BA = .250. 21, OBP = .200. 21, SLG = .250. 21, \n",
       "OPS = .450. 21, OPS+ = 23. 21, rOBA = .182. 21, Rbat+ = -10. 21, TB = 1. 21, GIDP = 0. 21, HBP = 0. 21, SH = 0. 21,\n",
       "SF = 1. 21, IBB = 0. 21, Pos = /3H789. 21, Awards = . 22, Player = Gene Locklear*. 22, Age = 27. 22, Pos = LF. 22, \n",
       "WAR = 0.0. 22, G = 1. 22, PA = 5. 22, AB = 5. 22, R = 1. 22, H = 3. 22, 2B = 0. 22, 3B = 0. 22, HR = 0. 22, RBI = \n",
       "2. 22, SB = 0. 22, CS = 0. 22, BB = 0. 22, SO = 0. 22, BA = .600. 22, OBP = .600. 22, SLG = .600. 22, OPS = 1.200. \n",
       "22, OPS+ = 231. 22, rOBA = .546. 22, Rbat+ = 245. 22, TB = 3. 22, GIDP = 0. 22, HBP = 0. 22, SH = 0. 22, SF = 0. \n",
       "22, IBB = 0. 22, Pos = /7. 22, Awards = . 23, Player = Marty Perez. 23, Age = 31. 23, Pos = 3B. 23, WAR = 0.0. 23, \n",
       "G = 1. 23, PA = 4. 23, AB = 4. 23, R = 0. 23, H = 2. 23, 2B = 0. 23, 3B = 0. 23, HR = 0. 23, RBI = 0. 23, SB = 0. \n",
       "23, CS = 0. 23, BB = 0. 23, SO = 1. 23, BA = .500. 23, OBP = .500. 23, SLG = .500. 23, OPS = 1.000. 23, OPS+ = 176.\n",
       "23, rOBA = .455. 23, Rbat+ = 183. 23, TB = 2. 23, GIDP = 1. 23, HBP = 0. 23, SH = 0. 23, SF = 0. 23, IBB = 0. 23, \n",
       "Pos = /5. 23, Awards = . Rk, Player = Player. Rk, Age = Age. Rk, Pos = Pos. Rk, WAR = WAR. Rk, G = G. Rk, PA = PA. \n",
       "Rk, AB = AB. Rk, R = R. Rk, H = H. Rk, 2B = 2B. Rk, 3B = 3B. Rk, HR = HR. Rk, RBI = RBI. Rk, SB = SB. Rk, CS = CS. \n",
       "Rk, BB = BB. Rk, SO = SO. Rk, BA = BA. Rk, OBP = OBP. Rk, SLG = SLG. Rk, OPS = OPS. Rk, OPS+ = OPS+. Rk, rOBA = \n",
       "rOBA. Rk, Rbat+ = Rbat+. Rk, TB = TB. Rk, GIDP = GIDP. Rk, HBP = HBP. Rk, SH = SH. Rk, SF = SF. Rk, IBB = IBB. Rk, \n",
       "Pos = Pos. Rk, Awards = Awards. 24, Player = Larry McCall*. 24, Age = 24. 24, Pos = P. 24, WAR = 0.0. 24, G = 1. \n",
       "24, PA = 0. 24, AB = 0. 24, R = 1. 24, H = 0. 24, 2B = 0. 24, 3B = 0. 24, HR = 0. 24, RBI = 0. 24, SB = 0. 24, CS =\n",
       "0. 24, BB = 0. 24, SO = 0. 24, BA = . 24, OBP = . 24, SLG = . 24, OPS = . 24, OPS+ = . 24, rOBA = . 24, Rbat+ = . \n",
       "24, TB = 0. 24, GIDP = 0. 24, HBP = 0. 24, SH = 0. 24, SF = 0. 24, IBB = 0. 24, Pos = /1H. 24, Awards = . 25, \n",
       "Player = Sparky Lyle*. 25, Age = 32. 25, Pos = P. 25, WAR = 0.0. 25, G = 1. 25, PA = 0. 25, AB = 0. 25, R = 0. 25, \n",
       "H = 0. 25, 2B = 0. 25, 3B = 0. 25, HR = 0. 25, RBI = 0. 25, SB = 0. 25, CS = 0. 25, BB = 0. 25, SO = 0. 25, BA = . \n",
       "25, OBP = . 25, SLG = . 25, OPS = . 25, OPS+ = . 25, rOBA = . 25, Rbat+ = . 25, TB = 0. 25, GIDP = 0. 25, HBP = 0. \n",
       "25, SH = 0. 25, SF = 0. 25, IBB = 0. 25, Pos = 1. 25, Awards = AS,CYA-1,MVP-6. 26, Player = Ron Guidry*. 26, Age = \n",
       "26. 26, Pos = P. 26, WAR = 0.0. 26, G = 5. 26, PA = 0. 26, AB = 0. 26, R = 3. 26, H = 0. 26, 2B = 0. 26, 3B = 0. \n",
       "26, HR = 0. 26, RBI = 0. 26, SB = 0. 26, CS = 0. 26, BB = 0. 26, SO = 0. 26, BA = . 26, OBP = . 26, SLG = . 26, OPS\n",
       "= . 26, OPS+ = . 26, rOBA = . 26, Rbat+ = . 26, TB = 0. 26, GIDP = 0. 26, HBP = 0. 26, SH = 0. 26, SF = 0. 26, IBB \n",
       "= 0. 26, Pos = 1/H. 26, Awards = CYA-7,MVP-18. , Player = Team Totals. , Age = . , Pos = . , WAR = 37.7. , G = 162.\n",
       ", PA = 6261. , AB = 5605. , R = 831. , H = 1576. , 2B = 267. , 3B = 47. , HR = 184. , RBI = 784. , SB = 93. , CS = \n",
       "57. , BB = 533. , SO = 681. , BA = .281. , OBP = .344. , SLG = .444. , OPS = .788. , OPS+ = 115. , rOBA = .359. , \n",
       "Rbat+ = 115. , TB = 2489. , GIDP = 117. , HBP = 28. , SH = 46. , SF = 48. , IBB = 49. , Pos = . , Awards = . , \n",
       "Player = Non-Pitcher Totals. , Age = . , Pos = . , WAR = 37.7. , G = . , PA = 6261. , AB = 5605. , R = 827. , H = \n",
       "1576. , 2B = 267. , 3B = 47. , HR = 184. , RBI = 784. , SB = 93. , CS = 57. , BB = 533. , SO = 681. , BA = .281. , \n",
       "OBP = .344. , SLG = .444. , OPS = .788. , OPS+ = 115. , rOBA = .359. , Rbat+ = 115. , TB = 2489. , GIDP = 117. , \n",
       "HBP = 28. , SH = 46. , SF = 48. , IBB = 49. , Pos = . , Awards = . , Player = Pitcher Totals. , Age = . , Pos = . ,\n",
       "WAR = 0.0. , G = . , PA = 0. , AB = 0. , R = 4. , H = 0. , 2B = 0. , 3B = 0. , HR = 0. , RBI = 0. , SB = 0. , CS = \n",
       "0. , BB = 0. , SO = 0. , BA = . , OBP = . , SLG = . , OPS = . , OPS+ = . , rOBA = . , Rbat+ = . , TB = 0. , GIDP = \n",
       "0. , HBP = 0. , SH = 0. , SF = 0. , IBB = 0. , Pos = . , Awards = \n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Standard Batting\n",
       "✨✨\n",
       "\n",
       "1977\n",
       "New York Yankees\n",
       "Statistics\n",
       "Standard Batting\n",
       "✨✨\n",
       "
\n" ], "text/plain": [ "Observations: \u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "FAQs, Tip & Tricks\n", "The SPORTS REFERENCE, STATHEAD, IMMACULATE GRID, and IMMACULATE FOOTY trademarks are owned exclusively by Sports \n", "Reference LLC. Use without license or authorization is expressly prohibited.\n", " Much of the play-by-play, game results, and transaction information both shown and used to create certain data\n", "sets was obtained free of charge from and is copyrighted by RetroSheet.\n", "Win Expectancy, Run Expectancy, and Leverage Index calculations provided by Tom Tango of InsideTheBook.com, and \n", "co-author of The Book: Playing the Percentages in Baseball.\n", "Total Zone Rating and initial framework for Wins above Replacement calculations provided by Sean Smith of \n", "Baseballprojection.com and author of WAR in Pieces.\n", "Full-year historical Major League statistics provided by Pete Palmer and Gary Gillette of Hidden Game Sports.\n", "\n", "Some defensive statistics Copyright © Sports Info Solutions, \u001b[1;36m2010\u001b[0m-\u001b[1;36m2025\u001b[0m.\n", "Some high school data is courtesy David McWater.\n", "Many historical player head shots courtesy of David Davis. Many thanks to him. All images are property the \n", "copyright holder and are displayed here for informational purposes only.\n", "\n", "Data Provided By\n", " \n", " the official stats partner of the NBA, NHL and MLB.\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "More \u001b[1;36m1977\u001b[0m Yankees Pages\n", "Pitching\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "More \u001b[1;36m1977\u001b[0m Yankees Pages\n", "Pitching\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "More \u001b[1;36m1977\u001b[0m Yankees Pages\n", "Fielding\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "More \u001b[1;36m1977\u001b[0m Yankees Pages\n", "- Detailed Stats\n", "- Game Logs\n", "- Batting Splits\n", "- Minor Lg Affiliates\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "More \u001b[1;36m1977\u001b[0m Yankees Pages\n", "Stats\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "- Top \u001b[1;36m12\u001b[0m Players\n", "- Standard Batting\n", "- Standard Pitching\n", "- Full Season Roster & Appearances\n", "- Coaching Staff\n", "- Standard Fielding\n", "- Value Batting\n", "- Value Pitching\n", "- Full Site Menu\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "More \u001b[1;36m1977\u001b[0m Yankees Pages\n", "Batting\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "More \u001b[1;36m1977\u001b[0m Yankees Pages\n", "Batting\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Standard Pitching\n", "* - throws left-handed, # - throws both, else - throws right, ? - unknown\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Standard Pitching\n", "\u001b[1;36m1\u001b[0m, Player = Mike Torrez. \u001b[1;36m1\u001b[0m, Age = \u001b[1;36m30\u001b[0m. \u001b[1;36m1\u001b[0m, W = \u001b[1;36m2\u001b[0m. \u001b[1;36m1\u001b[0m, L = \u001b[1;36m1\u001b[0m. \u001b[1;36m1\u001b[0m, W-L% = .\u001b[1;36m667\u001b[0m. \u001b[1;36m1\u001b[0m, ERA = \u001b[1;36m3.10\u001b[0m. \u001b[1;36m1\u001b[0m, G = \u001b[1;36m4\u001b[0m. \u001b[1;36m1\u001b[0m, GS = \u001b[1;36m3\u001b[0m. \u001b[1;36m1\u001b[0m, GF\n", "= \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, CG = \u001b[1;36m2\u001b[0m. \u001b[1;36m1\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, IP = \u001b[1;36m29.0\u001b[0m. \u001b[1;36m1\u001b[0m, H = \u001b[1;36m27\u001b[0m. \u001b[1;36m1\u001b[0m, R = \u001b[1;36m12\u001b[0m. \u001b[1;36m1\u001b[0m, ER = \u001b[1;36m10\u001b[0m. \u001b[1;36m1\u001b[0m, HR = \u001b[1;36m2\u001b[0m. \u001b[1;36m1\u001b[0m, BB = \u001b[1;36m10\u001b[0m. \u001b[1;36m1\u001b[0m, \n", "IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, SO = \u001b[1;36m20\u001b[0m. \u001b[1;36m1\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, WP = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, BF = \u001b[1;36m120\u001b[0m. \u001b[1;36m1\u001b[0m, FIP = \u001b[1;36m3.29\u001b[0m. \u001b[1;36m1\u001b[0m, WHIP = \u001b[1;36m1.276\u001b[0m. \u001b[1;36m1\u001b[0m, H9 = \u001b[1;36m8.4\u001b[0m. \u001b[1;36m1\u001b[0m,\n", "HR9 = \u001b[1;36m0.6\u001b[0m. \u001b[1;36m1\u001b[0m, BB9 = \u001b[1;36m3.1\u001b[0m. \u001b[1;36m1\u001b[0m, SO9 = \u001b[1;36m6.2\u001b[0m. \u001b[1;36m1\u001b[0m, SO/BB = \u001b[1;36m2.00\u001b[0m. \u001b[1;36m1\u001b[0m, Awards = . \u001b[1;36m2\u001b[0m, Player = Ron Guidry*. \u001b[1;36m2\u001b[0m, Age = \u001b[1;36m26\u001b[0m. \u001b[1;36m2\u001b[0m, W = \n", "\u001b[1;36m2\u001b[0m. \u001b[1;36m2\u001b[0m, L = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, W-L% = \u001b[1;36m1.000\u001b[0m. \u001b[1;36m2\u001b[0m, ERA = \u001b[1;36m3.10\u001b[0m. \u001b[1;36m2\u001b[0m, G = \u001b[1;36m3\u001b[0m. \u001b[1;36m2\u001b[0m, GS = \u001b[1;36m3\u001b[0m. \u001b[1;36m2\u001b[0m, GF = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, CG = \u001b[1;36m2\u001b[0m. \u001b[1;36m2\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, \n", "IP = \u001b[1;36m20.1\u001b[0m. \u001b[1;36m2\u001b[0m, H = \u001b[1;36m13\u001b[0m. \u001b[1;36m2\u001b[0m, R = \u001b[1;36m7\u001b[0m. \u001b[1;36m2\u001b[0m, ER = \u001b[1;36m7\u001b[0m. \u001b[1;36m2\u001b[0m, HR = \u001b[1;36m1\u001b[0m. \u001b[1;36m2\u001b[0m, BB = \u001b[1;36m6\u001b[0m. \u001b[1;36m2\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, SO = \u001b[1;36m15\u001b[0m. \u001b[1;36m2\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, \n", "WP = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, BF = \u001b[1;36m78\u001b[0m. \u001b[1;36m2\u001b[0m, FIP = \u001b[1;36m2.79\u001b[0m. \u001b[1;36m2\u001b[0m, WHIP = \u001b[1;36m0.934\u001b[0m. \u001b[1;36m2\u001b[0m, H9 = \u001b[1;36m5.8\u001b[0m. \u001b[1;36m2\u001b[0m, HR9 = \u001b[1;36m0.4\u001b[0m. \u001b[1;36m2\u001b[0m, BB9 = \u001b[1;36m2.7\u001b[0m. \u001b[1;36m2\u001b[0m, SO9 = \u001b[1;36m6.6\u001b[0m. \u001b[1;36m2\u001b[0m, SO/BB\n", "= \u001b[1;36m2.50\u001b[0m. \u001b[1;36m2\u001b[0m, Awards = . \u001b[1;36m3\u001b[0m, Player = Don Gullett*. \u001b[1;36m3\u001b[0m, Age = \u001b[1;36m26\u001b[0m. \u001b[1;36m3\u001b[0m, W = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, L = \u001b[1;36m2\u001b[0m. \u001b[1;36m3\u001b[0m, W-L% = .\u001b[1;36m000\u001b[0m. \u001b[1;36m3\u001b[0m, ERA = \u001b[1;36m7.98\u001b[0m. \u001b[1;36m3\u001b[0m, \n", "G = \u001b[1;36m3\u001b[0m. \u001b[1;36m3\u001b[0m, GS = \u001b[1;36m3\u001b[0m. \u001b[1;36m3\u001b[0m, GF = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, CG = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, IP = \u001b[1;36m14.2\u001b[0m. \u001b[1;36m3\u001b[0m, H = \u001b[1;36m17\u001b[0m. \u001b[1;36m3\u001b[0m, R = \u001b[1;36m14\u001b[0m. \u001b[1;36m3\u001b[0m, ER = \u001b[1;36m13\u001b[0m. \u001b[1;36m3\u001b[0m, \n", "HR = \u001b[1;36m2\u001b[0m. \u001b[1;36m3\u001b[0m, BB = \u001b[1;36m9\u001b[0m. \u001b[1;36m3\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, SO = \u001b[1;36m10\u001b[0m. \u001b[1;36m3\u001b[0m, HBP = \u001b[1;36m1\u001b[0m. \u001b[1;36m3\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, WP = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, BF = \u001b[1;36m69\u001b[0m. \u001b[1;36m3\u001b[0m, FIP = \u001b[1;36m5.19\u001b[0m. \u001b[1;36m3\u001b[0m, WHIP = \n", "\u001b[1;36m1.773\u001b[0m. \u001b[1;36m3\u001b[0m, H9 = \u001b[1;36m10.4\u001b[0m. \u001b[1;36m3\u001b[0m, HR9 = \u001b[1;36m1.2\u001b[0m. \u001b[1;36m3\u001b[0m, BB9 = \u001b[1;36m5.5\u001b[0m. \u001b[1;36m3\u001b[0m, SO9 = \u001b[1;36m6.1\u001b[0m. \u001b[1;36m3\u001b[0m, SO/BB = \u001b[1;36m1.11\u001b[0m. \u001b[1;36m3\u001b[0m, Awards = . \u001b[1;36m4\u001b[0m, Player = Sparky \n", "Lyle*. \u001b[1;36m4\u001b[0m, Age = \u001b[1;36m32\u001b[0m. \u001b[1;36m4\u001b[0m, W = \u001b[1;36m3\u001b[0m. \u001b[1;36m4\u001b[0m, L = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, W-L% = \u001b[1;36m1.000\u001b[0m. \u001b[1;36m4\u001b[0m, ERA = \u001b[1;36m1.29\u001b[0m. \u001b[1;36m4\u001b[0m, G = \u001b[1;36m6\u001b[0m. \u001b[1;36m4\u001b[0m, GS = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, GF = \u001b[1;36m6\u001b[0m. \u001b[1;36m4\u001b[0m, CG = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m4\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, IP = \u001b[1;36m14.0\u001b[0m. \u001b[1;36m4\u001b[0m, H = \u001b[1;36m9\u001b[0m. \u001b[1;36m4\u001b[0m, R = \u001b[1;36m2\u001b[0m. \u001b[1;36m4\u001b[0m, ER = \u001b[1;36m2\u001b[0m. \u001b[1;36m4\u001b[0m, HR = \u001b[1;36m1\u001b[0m. \u001b[1;36m4\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, SO = \u001b[1;36m5\u001b[0m. \u001b[1;36m4\u001b[0m,\n", "HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, WP = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, BF = \u001b[1;36m48\u001b[0m. \u001b[1;36m4\u001b[0m, FIP = \u001b[1;36m2.95\u001b[0m. \u001b[1;36m4\u001b[0m, WHIP = \u001b[1;36m0.643\u001b[0m. \u001b[1;36m4\u001b[0m, H9 = \u001b[1;36m5.8\u001b[0m. \u001b[1;36m4\u001b[0m, HR9 = \u001b[1;36m0.6\u001b[0m. \u001b[1;36m4\u001b[0m, BB9 = \u001b[1;36m0.0\u001b[0m.\n", "\u001b[1;36m4\u001b[0m, SO9 = \u001b[1;36m3.2\u001b[0m. \u001b[1;36m4\u001b[0m, SO/BB = . \u001b[1;36m4\u001b[0m, Awards = . \u001b[1;36m5\u001b[0m, Player = Dick Tidrow. \u001b[1;36m5\u001b[0m, Age = \u001b[1;36m30\u001b[0m. \u001b[1;36m5\u001b[0m, W = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, L = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, W-L% = . \u001b[1;36m5\u001b[0m, \n", "ERA = \u001b[1;36m4.22\u001b[0m. \u001b[1;36m5\u001b[0m, G = \u001b[1;36m4\u001b[0m. \u001b[1;36m5\u001b[0m, GS = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, GF = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, CG = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, IP = \u001b[1;36m10.2\u001b[0m. \u001b[1;36m5\u001b[0m, H = \u001b[1;36m11\u001b[0m. \u001b[1;36m5\u001b[0m, R = \u001b[1;36m5\u001b[0m. \u001b[1;36m5\u001b[0m,\n", "ER = \u001b[1;36m5\u001b[0m. \u001b[1;36m5\u001b[0m, HR = \u001b[1;36m3\u001b[0m. \u001b[1;36m5\u001b[0m, BB = \u001b[1;36m3\u001b[0m. \u001b[1;36m5\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, SO = \u001b[1;36m4\u001b[0m. \u001b[1;36m5\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, WP = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, BF = \u001b[1;36m44\u001b[0m. \u001b[1;36m5\u001b[0m, FIP = \u001b[1;36m6.49\u001b[0m. \n", "\u001b[1;36m5\u001b[0m, WHIP = \u001b[1;36m1.313\u001b[0m. \u001b[1;36m5\u001b[0m, H9 = \u001b[1;36m9.3\u001b[0m. \u001b[1;36m5\u001b[0m, HR9 = \u001b[1;36m2.5\u001b[0m. \u001b[1;36m5\u001b[0m, BB9 = \u001b[1;36m2.5\u001b[0m. \u001b[1;36m5\u001b[0m, SO9 = \u001b[1;36m3.4\u001b[0m. \u001b[1;36m5\u001b[0m, SO/BB = \u001b[1;36m1.33\u001b[0m. \u001b[1;36m5\u001b[0m, Awards = . \u001b[1;36m6\u001b[0m, Player = \n", "Catfish Hunter. \u001b[1;36m6\u001b[0m, Age = \u001b[1;36m31\u001b[0m. \u001b[1;36m6\u001b[0m, W = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, L = \u001b[1;36m1\u001b[0m. \u001b[1;36m6\u001b[0m, W-L% = .\u001b[1;36m000\u001b[0m. \u001b[1;36m6\u001b[0m, ERA = \u001b[1;36m10.38\u001b[0m. \u001b[1;36m6\u001b[0m, G = \u001b[1;36m2\u001b[0m. \u001b[1;36m6\u001b[0m, GS = \u001b[1;36m1\u001b[0m. \u001b[1;36m6\u001b[0m, GF = \u001b[1;36m1\u001b[0m. \u001b[1;36m6\u001b[0m,\n", "CG = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, IP = \u001b[1;36m4.1\u001b[0m. \u001b[1;36m6\u001b[0m, H = \u001b[1;36m6\u001b[0m. \u001b[1;36m6\u001b[0m, R = \u001b[1;36m5\u001b[0m. \u001b[1;36m6\u001b[0m, ER = \u001b[1;36m5\u001b[0m. \u001b[1;36m6\u001b[0m, HR = \u001b[1;36m3\u001b[0m. \u001b[1;36m6\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, SO \n", "= \u001b[1;36m1\u001b[0m. \u001b[1;36m6\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, WP = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, BF = \u001b[1;36m19\u001b[0m. \u001b[1;36m6\u001b[0m, FIP = \u001b[1;36m11.28\u001b[0m. \u001b[1;36m6\u001b[0m, WHIP = \u001b[1;36m1.385\u001b[0m. \u001b[1;36m6\u001b[0m, H9 = \u001b[1;36m12.5\u001b[0m. \u001b[1;36m6\u001b[0m, HR9 = \u001b[1;36m6.2\u001b[0m. \u001b[1;36m6\u001b[0m, \n", "BB9 = \u001b[1;36m0.0\u001b[0m. \u001b[1;36m6\u001b[0m, SO9 = \u001b[1;36m2.1\u001b[0m. \u001b[1;36m6\u001b[0m, SO/BB = . \u001b[1;36m6\u001b[0m, Awards = . \u001b[1;36m7\u001b[0m, Player = Ken Clay. \u001b[1;36m7\u001b[0m, Age = \u001b[1;36m23\u001b[0m. \u001b[1;36m7\u001b[0m, W = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, L = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, W-L% \n", "= . \u001b[1;36m7\u001b[0m, ERA = \u001b[1;36m2.45\u001b[0m. \u001b[1;36m7\u001b[0m, G = \u001b[1;36m2\u001b[0m. \u001b[1;36m7\u001b[0m, GS = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, GF = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, CG = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, IP = \u001b[1;36m3.2\u001b[0m. \u001b[1;36m7\u001b[0m, H = \u001b[1;36m2\u001b[0m. \u001b[1;36m7\u001b[0m, R = \n", "\u001b[1;36m1\u001b[0m. \u001b[1;36m7\u001b[0m, ER = \u001b[1;36m1\u001b[0m. \u001b[1;36m7\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, BB = \u001b[1;36m1\u001b[0m. \u001b[1;36m7\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, SO = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, WP = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, BF = \u001b[1;36m14\u001b[0m. \u001b[1;36m7\u001b[0m, FIP = \n", "\u001b[1;36m3.56\u001b[0m. \u001b[1;36m7\u001b[0m, WHIP = \u001b[1;36m0.818\u001b[0m. \u001b[1;36m7\u001b[0m, H9 = \u001b[1;36m4.9\u001b[0m. \u001b[1;36m7\u001b[0m, HR9 = \u001b[1;36m0.0\u001b[0m. \u001b[1;36m7\u001b[0m, BB9 = \u001b[1;36m2.5\u001b[0m. \u001b[1;36m7\u001b[0m, SO9 = \u001b[1;36m0.0\u001b[0m. \u001b[1;36m7\u001b[0m, SO/BB = \u001b[1;36m0.00\u001b[0m. \u001b[1;36m7\u001b[0m, Awards = . \u001b[1;36m8\u001b[0m, \n", "Player = Ed Figueroa. \u001b[1;36m8\u001b[0m, Age = \u001b[1;36m28\u001b[0m. \u001b[1;36m8\u001b[0m, W = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, L = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, W-L% = . \u001b[1;36m8\u001b[0m, ERA = \u001b[1;36m10.80\u001b[0m. \u001b[1;36m8\u001b[0m, G = \u001b[1;36m1\u001b[0m. \u001b[1;36m8\u001b[0m, GS = \u001b[1;36m1\u001b[0m. \u001b[1;36m8\u001b[0m, GF = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m8\u001b[0m, CG = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, IP = \u001b[1;36m3.1\u001b[0m. \u001b[1;36m8\u001b[0m, H = \u001b[1;36m5\u001b[0m. \u001b[1;36m8\u001b[0m, R = \u001b[1;36m4\u001b[0m. \u001b[1;36m8\u001b[0m, ER = \u001b[1;36m4\u001b[0m. \u001b[1;36m8\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, BB = \u001b[1;36m2\u001b[0m. \u001b[1;36m8\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, \n", "SO = \u001b[1;36m3\u001b[0m. \u001b[1;36m8\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, WP = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, BF = \u001b[1;36m17\u001b[0m. \u001b[1;36m8\u001b[0m, FIP = \u001b[1;36m2.74\u001b[0m. \u001b[1;36m8\u001b[0m, WHIP = \u001b[1;36m2.100\u001b[0m. \u001b[1;36m8\u001b[0m, H9 = \u001b[1;36m13.5\u001b[0m. \u001b[1;36m8\u001b[0m, HR9 = \u001b[1;36m0.0\u001b[0m. \n", "\u001b[1;36m8\u001b[0m, BB9 = \u001b[1;36m5.4\u001b[0m. \u001b[1;36m8\u001b[0m, SO9 = \u001b[1;36m8.1\u001b[0m. \u001b[1;36m8\u001b[0m, SO/BB = \u001b[1;36m1.50\u001b[0m. \u001b[1;36m8\u001b[0m, Awards = . , Player = Team Totals. , Age = . , W = \u001b[1;36m7\u001b[0m. , L = \u001b[1;36m4\u001b[0m. , \n", "W-L% = .\u001b[1;36m636\u001b[0m. , ERA = \u001b[1;36m4.23\u001b[0m. , G = \u001b[1;36m11\u001b[0m. , GS = \u001b[1;36m11\u001b[0m. , GF = \u001b[1;36m7\u001b[0m. , CG = \u001b[1;36m4\u001b[0m. , SHO = \u001b[1;36m0\u001b[0m. , SV = \u001b[1;36m0\u001b[0m. , IP = \u001b[1;36m100.0\u001b[0m. , H = \u001b[1;36m90\u001b[0m. , \n", "R = \u001b[1;36m50\u001b[0m. , ER = \u001b[1;36m47\u001b[0m. , HR = \u001b[1;36m12\u001b[0m. , BB = \u001b[1;36m31\u001b[0m. , IBB = \u001b[1;36m0\u001b[0m. , SO = \u001b[1;36m58\u001b[0m. , HBP = \u001b[1;36m1\u001b[0m. , BK = \u001b[1;36m0\u001b[0m. , WP = \u001b[1;36m0\u001b[0m. , BF = \u001b[1;36m409\u001b[0m. , FIP = \n", "\u001b[1;36m4.10\u001b[0m. , WHIP = \u001b[1;36m1.210\u001b[0m. , H9 = \u001b[1;36m8.1\u001b[0m. , HR9 = \u001b[1;36m1.1\u001b[0m. , BB9 = \u001b[1;36m2.8\u001b[0m. , SO9 = \u001b[1;36m5.2\u001b[0m. , SO/BB = \u001b[1;36m1.87\u001b[0m. , Awards = \n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Standard Pitching\n", "\u001b[1;36m1\u001b[0m, Player = Ed Figueroa. \u001b[1;36m1\u001b[0m, Age = \u001b[1;36m28\u001b[0m. \u001b[1;36m1\u001b[0m, Pos = SP. \u001b[1;36m1\u001b[0m, WAR = \u001b[1;36m3.3\u001b[0m. \u001b[1;36m1\u001b[0m, W = \u001b[1;36m16\u001b[0m. \u001b[1;36m1\u001b[0m, L = \u001b[1;36m11\u001b[0m. \u001b[1;36m1\u001b[0m, W-L% = .\u001b[1;36m593\u001b[0m. \u001b[1;36m1\u001b[0m, ERA = \n", "\u001b[1;36m3.57\u001b[0m. \u001b[1;36m1\u001b[0m, G = \u001b[1;36m32\u001b[0m. \u001b[1;36m1\u001b[0m, GS = \u001b[1;36m32\u001b[0m. \u001b[1;36m1\u001b[0m, GF = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, CG = \u001b[1;36m12\u001b[0m. \u001b[1;36m1\u001b[0m, SHO = \u001b[1;36m2\u001b[0m. \u001b[1;36m1\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, IP = \u001b[1;36m239.1\u001b[0m. \u001b[1;36m1\u001b[0m, H = \u001b[1;36m228\u001b[0m. \u001b[1;36m1\u001b[0m, R = \u001b[1;36m102\u001b[0m. \n", "\u001b[1;36m1\u001b[0m, ER = \u001b[1;36m95\u001b[0m. \u001b[1;36m1\u001b[0m, HR = \u001b[1;36m19\u001b[0m. \u001b[1;36m1\u001b[0m, BB = \u001b[1;36m75\u001b[0m. \u001b[1;36m1\u001b[0m, IBB = \u001b[1;36m1\u001b[0m. \u001b[1;36m1\u001b[0m, SO = \u001b[1;36m104\u001b[0m. \u001b[1;36m1\u001b[0m, HBP = \u001b[1;36m3\u001b[0m. \u001b[1;36m1\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, WP = \u001b[1;36m3\u001b[0m. \u001b[1;36m1\u001b[0m, BF = \u001b[1;36m999\u001b[0m. \u001b[1;36m1\u001b[0m, ERA+\n", "= \u001b[1;36m111\u001b[0m. \u001b[1;36m1\u001b[0m, FIP = \u001b[1;36m3.88\u001b[0m. \u001b[1;36m1\u001b[0m, WHIP = \u001b[1;36m1.266\u001b[0m. \u001b[1;36m1\u001b[0m, H9 = \u001b[1;36m8.6\u001b[0m. \u001b[1;36m1\u001b[0m, HR9 = \u001b[1;36m0.7\u001b[0m. \u001b[1;36m1\u001b[0m, BB9 = \u001b[1;36m2.8\u001b[0m. \u001b[1;36m1\u001b[0m, SO9 = \u001b[1;36m3.9\u001b[0m. \u001b[1;36m1\u001b[0m, SO/BB = \u001b[1;36m1.39\u001b[0m. \u001b[1;36m1\u001b[0m, \n", "Awards = . \u001b[1;36m2\u001b[0m, Player = Mike Torrez. \u001b[1;36m2\u001b[0m, Age = \u001b[1;36m30\u001b[0m. \u001b[1;36m2\u001b[0m, Pos = SP. \u001b[1;36m2\u001b[0m, WAR = \u001b[1;36m2.4\u001b[0m. \u001b[1;36m2\u001b[0m, W = \u001b[1;36m14\u001b[0m. \u001b[1;36m2\u001b[0m, L = \u001b[1;36m12\u001b[0m. \u001b[1;36m2\u001b[0m, W-L% = .\u001b[1;36m538\u001b[0m. \n", "\u001b[1;36m2\u001b[0m, ERA = \u001b[1;36m3.82\u001b[0m. \u001b[1;36m2\u001b[0m, G = \u001b[1;36m31\u001b[0m. \u001b[1;36m2\u001b[0m, GS = \u001b[1;36m31\u001b[0m. \u001b[1;36m2\u001b[0m, GF = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, CG = \u001b[1;36m15\u001b[0m. \u001b[1;36m2\u001b[0m, SHO = \u001b[1;36m2\u001b[0m. \u001b[1;36m2\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, IP = \u001b[1;36m217.0\u001b[0m. \u001b[1;36m2\u001b[0m, H = \u001b[1;36m212\u001b[0m. \u001b[1;36m2\u001b[0m, R\n", "= \u001b[1;36m99\u001b[0m. \u001b[1;36m2\u001b[0m, ER = \u001b[1;36m92\u001b[0m. \u001b[1;36m2\u001b[0m, HR = \u001b[1;36m20\u001b[0m. \u001b[1;36m2\u001b[0m, BB = \u001b[1;36m75\u001b[0m. \u001b[1;36m2\u001b[0m, IBB = \u001b[1;36m1\u001b[0m. \u001b[1;36m2\u001b[0m, SO = \u001b[1;36m90\u001b[0m. \u001b[1;36m2\u001b[0m, HBP = \u001b[1;36m6\u001b[0m. \u001b[1;36m2\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, WP = \u001b[1;36m4\u001b[0m. \u001b[1;36m2\u001b[0m, BF = \u001b[1;36m914\u001b[0m. \u001b[1;36m2\u001b[0m,\n", "ERA+ = \u001b[1;36m104\u001b[0m. \u001b[1;36m2\u001b[0m, FIP = \u001b[1;36m4.23\u001b[0m. \u001b[1;36m2\u001b[0m, WHIP = \u001b[1;36m1.323\u001b[0m. \u001b[1;36m2\u001b[0m, H9 = \u001b[1;36m8.8\u001b[0m. \u001b[1;36m2\u001b[0m, HR9 = \u001b[1;36m0.8\u001b[0m. \u001b[1;36m2\u001b[0m, BB9 = \u001b[1;36m3.1\u001b[0m. \u001b[1;36m2\u001b[0m, SO9 = \u001b[1;36m3.7\u001b[0m. \u001b[1;36m2\u001b[0m, SO/BB = \u001b[1;36m1.20\u001b[0m.\n", "\u001b[1;36m2\u001b[0m, Awards = . \u001b[1;36m3\u001b[0m, Player = Ron Guidry*. \u001b[1;36m3\u001b[0m, Age = \u001b[1;36m26\u001b[0m. \u001b[1;36m3\u001b[0m, Pos = SP. \u001b[1;36m3\u001b[0m, WAR = \u001b[1;36m4.8\u001b[0m. \u001b[1;36m3\u001b[0m, W = \u001b[1;36m16\u001b[0m. \u001b[1;36m3\u001b[0m, L = \u001b[1;36m7\u001b[0m. \u001b[1;36m3\u001b[0m, W-L% = .\u001b[1;36m696\u001b[0m.\n", "\u001b[1;36m3\u001b[0m, ERA = \u001b[1;36m2.82\u001b[0m. \u001b[1;36m3\u001b[0m, G = \u001b[1;36m31\u001b[0m. \u001b[1;36m3\u001b[0m, GS = \u001b[1;36m25\u001b[0m. \u001b[1;36m3\u001b[0m, GF = \u001b[1;36m4\u001b[0m. \u001b[1;36m3\u001b[0m, CG = \u001b[1;36m9\u001b[0m. \u001b[1;36m3\u001b[0m, SHO = \u001b[1;36m5\u001b[0m. \u001b[1;36m3\u001b[0m, SV = \u001b[1;36m1\u001b[0m. \u001b[1;36m3\u001b[0m, IP = \u001b[1;36m210.2\u001b[0m. \u001b[1;36m3\u001b[0m, H = \u001b[1;36m174\u001b[0m. \u001b[1;36m3\u001b[0m, R \n", "= \u001b[1;36m72\u001b[0m. \u001b[1;36m3\u001b[0m, ER = \u001b[1;36m66\u001b[0m. \u001b[1;36m3\u001b[0m, HR = \u001b[1;36m12\u001b[0m. \u001b[1;36m3\u001b[0m, BB = \u001b[1;36m65\u001b[0m. \u001b[1;36m3\u001b[0m, IBB = \u001b[1;36m2\u001b[0m. \u001b[1;36m3\u001b[0m, SO = \u001b[1;36m176\u001b[0m. \u001b[1;36m3\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, WP = \u001b[1;36m6\u001b[0m. \u001b[1;36m3\u001b[0m, BF = \u001b[1;36m850\u001b[0m. \n", "\u001b[1;36m3\u001b[0m, ERA+ = \u001b[1;36m140\u001b[0m. \u001b[1;36m3\u001b[0m, FIP = \u001b[1;36m2.73\u001b[0m. \u001b[1;36m3\u001b[0m, WHIP = \u001b[1;36m1.134\u001b[0m. \u001b[1;36m3\u001b[0m, H9 = \u001b[1;36m7.4\u001b[0m. \u001b[1;36m3\u001b[0m, HR9 = \u001b[1;36m0.5\u001b[0m. \u001b[1;36m3\u001b[0m, BB9 = \u001b[1;36m2.8\u001b[0m. \u001b[1;36m3\u001b[0m, SO9 = \u001b[1;36m7.5\u001b[0m. \u001b[1;36m3\u001b[0m, SO/BB = \n", "\u001b[1;36m2.71\u001b[0m. \u001b[1;36m3\u001b[0m, Awards = CYA-\u001b[1;36m7\u001b[0m,MVP-\u001b[1;36m18\u001b[0m. \u001b[1;36m4\u001b[0m, Player = Don Gullett*. \u001b[1;36m4\u001b[0m, Age = \u001b[1;36m26\u001b[0m. \u001b[1;36m4\u001b[0m, Pos = SP. \u001b[1;36m4\u001b[0m, WAR = \u001b[1;36m2.0\u001b[0m. \u001b[1;36m4\u001b[0m, W = \u001b[1;36m14\u001b[0m. \u001b[1;36m4\u001b[0m, L =\n", "\u001b[1;36m4\u001b[0m. \u001b[1;36m4\u001b[0m, W-L% = .\u001b[1;36m778\u001b[0m. \u001b[1;36m4\u001b[0m, ERA = \u001b[1;36m3.58\u001b[0m. \u001b[1;36m4\u001b[0m, G = \u001b[1;36m22\u001b[0m. \u001b[1;36m4\u001b[0m, GS = \u001b[1;36m22\u001b[0m. \u001b[1;36m4\u001b[0m, GF = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, CG = \u001b[1;36m7\u001b[0m. \u001b[1;36m4\u001b[0m, SHO = \u001b[1;36m1\u001b[0m. \u001b[1;36m4\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, IP = \n", "\u001b[1;36m158.1\u001b[0m. \u001b[1;36m4\u001b[0m, H = \u001b[1;36m137\u001b[0m. \u001b[1;36m4\u001b[0m, R = \u001b[1;36m67\u001b[0m. \u001b[1;36m4\u001b[0m, ER = \u001b[1;36m63\u001b[0m. \u001b[1;36m4\u001b[0m, HR = \u001b[1;36m14\u001b[0m. \u001b[1;36m4\u001b[0m, BB = \u001b[1;36m69\u001b[0m. \u001b[1;36m4\u001b[0m, IBB = \u001b[1;36m1\u001b[0m. \u001b[1;36m4\u001b[0m, SO = \u001b[1;36m116\u001b[0m. \u001b[1;36m4\u001b[0m, HBP = \u001b[1;36m1\u001b[0m. \u001b[1;36m4\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m4\u001b[0m, WP = \u001b[1;36m4\u001b[0m. \u001b[1;36m4\u001b[0m, BF = \u001b[1;36m667\u001b[0m. \u001b[1;36m4\u001b[0m, ERA+ = \u001b[1;36m111\u001b[0m. \u001b[1;36m4\u001b[0m, FIP = \u001b[1;36m3.75\u001b[0m. \u001b[1;36m4\u001b[0m, WHIP = \u001b[1;36m1.301\u001b[0m. \u001b[1;36m4\u001b[0m, H9 = \u001b[1;36m7.8\u001b[0m. \u001b[1;36m4\u001b[0m, HR9 = \u001b[1;36m0.8\u001b[0m. \u001b[1;36m4\u001b[0m, BB9 = \u001b[1;36m3.9\u001b[0m. \u001b[1;36m4\u001b[0m, \n", "SO9 = \u001b[1;36m6.6\u001b[0m. \u001b[1;36m4\u001b[0m, SO/BB = \u001b[1;36m1.68\u001b[0m. \u001b[1;36m4\u001b[0m, Awards = . \u001b[1;36m5\u001b[0m, Player = Catfish Hunter. \u001b[1;36m5\u001b[0m, Age = \u001b[1;36m31\u001b[0m. \u001b[1;36m5\u001b[0m, Pos = SP. \u001b[1;36m5\u001b[0m, WAR = \u001b[1;36m-0.4\u001b[0m. \u001b[1;36m5\u001b[0m, W\n", "= \u001b[1;36m9\u001b[0m. \u001b[1;36m5\u001b[0m, L = \u001b[1;36m9\u001b[0m. \u001b[1;36m5\u001b[0m, W-L% = .\u001b[1;36m500\u001b[0m. \u001b[1;36m5\u001b[0m, ERA = \u001b[1;36m4.71\u001b[0m. \u001b[1;36m5\u001b[0m, G = \u001b[1;36m22\u001b[0m. \u001b[1;36m5\u001b[0m, GS = \u001b[1;36m22\u001b[0m. \u001b[1;36m5\u001b[0m, GF = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, CG = \u001b[1;36m8\u001b[0m. \u001b[1;36m5\u001b[0m, SHO = \u001b[1;36m1\u001b[0m. \u001b[1;36m5\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m5\u001b[0m, IP = \u001b[1;36m143.1\u001b[0m. \u001b[1;36m5\u001b[0m, H = \u001b[1;36m137\u001b[0m. \u001b[1;36m5\u001b[0m, R = \u001b[1;36m83\u001b[0m. \u001b[1;36m5\u001b[0m, ER = \u001b[1;36m75\u001b[0m. \u001b[1;36m5\u001b[0m, HR = \u001b[1;36m29\u001b[0m. \u001b[1;36m5\u001b[0m, BB = \u001b[1;36m47\u001b[0m. \u001b[1;36m5\u001b[0m, IBB = \u001b[1;36m3\u001b[0m. \u001b[1;36m5\u001b[0m, SO = \u001b[1;36m52\u001b[0m. \u001b[1;36m5\u001b[0m, HBP = \u001b[1;36m3\u001b[0m. \u001b[1;36m5\u001b[0m, BK\n", "= \u001b[1;36m1\u001b[0m. \u001b[1;36m5\u001b[0m, WP = \u001b[1;36m2\u001b[0m. \u001b[1;36m5\u001b[0m, BF = \u001b[1;36m608\u001b[0m. \u001b[1;36m5\u001b[0m, ERA+ = \u001b[1;36m84\u001b[0m. \u001b[1;36m5\u001b[0m, FIP = \u001b[1;36m5.69\u001b[0m. \u001b[1;36m5\u001b[0m, WHIP = \u001b[1;36m1.284\u001b[0m. \u001b[1;36m5\u001b[0m, H9 = \u001b[1;36m8.6\u001b[0m. \u001b[1;36m5\u001b[0m, HR9 = \u001b[1;36m1.8\u001b[0m. \u001b[1;36m5\u001b[0m, BB9 = \u001b[1;36m3.0\u001b[0m.\n", "\u001b[1;36m5\u001b[0m, SO9 = \u001b[1;36m3.3\u001b[0m. \u001b[1;36m5\u001b[0m, SO/BB = \u001b[1;36m1.11\u001b[0m. \u001b[1;36m5\u001b[0m, Awards = . \u001b[1;36m6\u001b[0m, Player = Ken Holtzman*. \u001b[1;36m6\u001b[0m, Age = \u001b[1;36m31\u001b[0m. \u001b[1;36m6\u001b[0m, Pos = SP. \u001b[1;36m6\u001b[0m, WAR = \u001b[1;36m-1.4\u001b[0m. \u001b[1;36m6\u001b[0m,\n", "W = \u001b[1;36m2\u001b[0m. \u001b[1;36m6\u001b[0m, L = \u001b[1;36m3\u001b[0m. \u001b[1;36m6\u001b[0m, W-L% = .\u001b[1;36m400\u001b[0m. \u001b[1;36m6\u001b[0m, ERA = \u001b[1;36m5.78\u001b[0m. \u001b[1;36m6\u001b[0m, G = \u001b[1;36m18\u001b[0m. \u001b[1;36m6\u001b[0m, GS = \u001b[1;36m11\u001b[0m. \u001b[1;36m6\u001b[0m, GF = \u001b[1;36m4\u001b[0m. \u001b[1;36m6\u001b[0m, CG = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, SV = \u001b[1;36m0\u001b[0m.\n", "\u001b[1;36m6\u001b[0m, IP = \u001b[1;36m71.2\u001b[0m. \u001b[1;36m6\u001b[0m, H = \u001b[1;36m105\u001b[0m. \u001b[1;36m6\u001b[0m, R = \u001b[1;36m55\u001b[0m. \u001b[1;36m6\u001b[0m, ER = \u001b[1;36m46\u001b[0m. \u001b[1;36m6\u001b[0m, HR = \u001b[1;36m7\u001b[0m. \u001b[1;36m6\u001b[0m, BB = \u001b[1;36m24\u001b[0m. \u001b[1;36m6\u001b[0m, IBB = \u001b[1;36m2\u001b[0m. \u001b[1;36m6\u001b[0m, SO = \u001b[1;36m14\u001b[0m. \u001b[1;36m6\u001b[0m, HBP = \u001b[1;36m1\u001b[0m. \u001b[1;36m6\u001b[0m, BK =\n", "\u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, WP = \u001b[1;36m4\u001b[0m. \u001b[1;36m6\u001b[0m, BF = \u001b[1;36m323\u001b[0m. \u001b[1;36m6\u001b[0m, ERA+ = \u001b[1;36m69\u001b[0m. \u001b[1;36m6\u001b[0m, FIP = \u001b[1;36m4.66\u001b[0m. \u001b[1;36m6\u001b[0m, WHIP = \u001b[1;36m1.800\u001b[0m. \u001b[1;36m6\u001b[0m, H9 = \u001b[1;36m13.2\u001b[0m. \u001b[1;36m6\u001b[0m, HR9 = \u001b[1;36m0.9\u001b[0m. \u001b[1;36m6\u001b[0m, BB9 = \u001b[1;36m3.0\u001b[0m. \n", "\u001b[1;36m6\u001b[0m, SO9 = \u001b[1;36m1.8\u001b[0m. \u001b[1;36m6\u001b[0m, SO/BB = \u001b[1;36m0.58\u001b[0m. \u001b[1;36m6\u001b[0m, Awards = . Rk, Player = Player. Rk, Age = Age. Rk, Pos = Pos. Rk, WAR = WAR. Rk, \n", "W = W. Rk, L = L. Rk, W-L% = W-L%. Rk, ERA = ERA. Rk, G = G. Rk, GS = GS. Rk, GF = GF. Rk, CG = CG. Rk, SHO = SHO. \n", "Rk, SV = SV. Rk, IP = IP. Rk, H = H. Rk, R = R. Rk, ER = ER. Rk, HR = HR. Rk, BB = BB. Rk, IBB = IBB. Rk, SO = SO. \n", "Rk, HBP = HBP. Rk, BK = BK. Rk, WP = WP. Rk, BF = BF. Rk, ERA+ = ERA+. Rk, FIP = FIP. Rk, WHIP = WHIP. Rk, H9 = H9.\n", "Rk, HR9 = HR9. Rk, BB9 = BB9. Rk, SO9 = SO9. Rk, SO/BB = SO/BB. Rk, Awards = Awards. \u001b[1;36m7\u001b[0m, Player = Sparky Lyle*. \u001b[1;36m7\u001b[0m, \n", "Age = \u001b[1;36m32\u001b[0m. \u001b[1;36m7\u001b[0m, Pos = CL. \u001b[1;36m7\u001b[0m, WAR = \u001b[1;36m3.7\u001b[0m. \u001b[1;36m7\u001b[0m, W = \u001b[1;36m13\u001b[0m. \u001b[1;36m7\u001b[0m, L = \u001b[1;36m5\u001b[0m. \u001b[1;36m7\u001b[0m, W-L% = .\u001b[1;36m722\u001b[0m. \u001b[1;36m7\u001b[0m, ERA = \u001b[1;36m2.17\u001b[0m. \u001b[1;36m7\u001b[0m, G = \u001b[1;36m72\u001b[0m. \u001b[1;36m7\u001b[0m, GS = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, \n", "GF = \u001b[1;36m60\u001b[0m. \u001b[1;36m7\u001b[0m, CG = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, SV = \u001b[1;36m26\u001b[0m. \u001b[1;36m7\u001b[0m, IP = \u001b[1;36m137.0\u001b[0m. \u001b[1;36m7\u001b[0m, H = \u001b[1;36m131\u001b[0m. \u001b[1;36m7\u001b[0m, R = \u001b[1;36m41\u001b[0m. \u001b[1;36m7\u001b[0m, ER = \u001b[1;36m33\u001b[0m. \u001b[1;36m7\u001b[0m, HR = \u001b[1;36m7\u001b[0m. \u001b[1;36m7\u001b[0m, BB = \n", "\u001b[1;36m33\u001b[0m. \u001b[1;36m7\u001b[0m, IBB = \u001b[1;36m6\u001b[0m. \u001b[1;36m7\u001b[0m, SO = \u001b[1;36m68\u001b[0m. \u001b[1;36m7\u001b[0m, HBP = \u001b[1;36m2\u001b[0m. \u001b[1;36m7\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, WP = \u001b[1;36m10\u001b[0m. \u001b[1;36m7\u001b[0m, BF = \u001b[1;36m554\u001b[0m. \u001b[1;36m7\u001b[0m, ERA+ = \u001b[1;36m183\u001b[0m. \u001b[1;36m7\u001b[0m, FIP = \u001b[1;36m3.18\u001b[0m. \u001b[1;36m7\u001b[0m, WHIP =\n", "\u001b[1;36m1.197\u001b[0m. \u001b[1;36m7\u001b[0m, H9 = \u001b[1;36m8.6\u001b[0m. \u001b[1;36m7\u001b[0m, HR9 = \u001b[1;36m0.5\u001b[0m. \u001b[1;36m7\u001b[0m, BB9 = \u001b[1;36m2.2\u001b[0m. \u001b[1;36m7\u001b[0m, SO9 = \u001b[1;36m4.5\u001b[0m. \u001b[1;36m7\u001b[0m, SO/BB = \u001b[1;36m2.06\u001b[0m. \u001b[1;36m7\u001b[0m, Awards = AS,CYA-\u001b[1;36m1\u001b[0m,MVP-\u001b[1;36m6\u001b[0m. \u001b[1;36m8\u001b[0m, \n", "Player = Dick Tidrow. \u001b[1;36m8\u001b[0m, Age = \u001b[1;36m30\u001b[0m. \u001b[1;36m8\u001b[0m, Pos = RP. \u001b[1;36m8\u001b[0m, WAR = \u001b[1;36m2.4\u001b[0m. \u001b[1;36m8\u001b[0m, W = \u001b[1;36m11\u001b[0m. \u001b[1;36m8\u001b[0m, L = \u001b[1;36m4\u001b[0m. \u001b[1;36m8\u001b[0m, W-L% = .\u001b[1;36m733\u001b[0m. \u001b[1;36m8\u001b[0m, ERA = \u001b[1;36m3.16\u001b[0m. \n", "\u001b[1;36m8\u001b[0m, G = \u001b[1;36m49\u001b[0m. \u001b[1;36m8\u001b[0m, GS = \u001b[1;36m7\u001b[0m. \u001b[1;36m8\u001b[0m, GF = \u001b[1;36m26\u001b[0m. \u001b[1;36m8\u001b[0m, CG = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, SV = \u001b[1;36m5\u001b[0m. \u001b[1;36m8\u001b[0m, IP = \u001b[1;36m151.0\u001b[0m. \u001b[1;36m8\u001b[0m, H = \u001b[1;36m143\u001b[0m. \u001b[1;36m8\u001b[0m, R = \u001b[1;36m57\u001b[0m. \u001b[1;36m8\u001b[0m, ER = \n", "\u001b[1;36m53\u001b[0m. \u001b[1;36m8\u001b[0m, HR = \u001b[1;36m20\u001b[0m. \u001b[1;36m8\u001b[0m, BB = \u001b[1;36m41\u001b[0m. \u001b[1;36m8\u001b[0m, IBB = \u001b[1;36m11\u001b[0m. \u001b[1;36m8\u001b[0m, SO = \u001b[1;36m83\u001b[0m. \u001b[1;36m8\u001b[0m, HBP = \u001b[1;36m2\u001b[0m. \u001b[1;36m8\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, WP = \u001b[1;36m2\u001b[0m. \u001b[1;36m8\u001b[0m, BF = \u001b[1;36m624\u001b[0m. \u001b[1;36m8\u001b[0m, ERA+ = \u001b[1;36m125\u001b[0m. \n", "\u001b[1;36m8\u001b[0m, FIP = \u001b[1;36m4.22\u001b[0m. \u001b[1;36m8\u001b[0m, WHIP = \u001b[1;36m1.219\u001b[0m. \u001b[1;36m8\u001b[0m, H9 = \u001b[1;36m8.5\u001b[0m. \u001b[1;36m8\u001b[0m, HR9 = \u001b[1;36m1.2\u001b[0m. \u001b[1;36m8\u001b[0m, BB9 = \u001b[1;36m2.4\u001b[0m. \u001b[1;36m8\u001b[0m, SO9 = \u001b[1;36m4.9\u001b[0m. \u001b[1;36m8\u001b[0m, SO/BB = \u001b[1;36m2.02\u001b[0m. \u001b[1;36m8\u001b[0m, Awards =\n", ". \u001b[1;36m9\u001b[0m, Player = Ken Clay. \u001b[1;36m9\u001b[0m, Age = \u001b[1;36m23\u001b[0m. \u001b[1;36m9\u001b[0m, Pos = RP. \u001b[1;36m9\u001b[0m, WAR = \u001b[1;36m-0.4\u001b[0m. \u001b[1;36m9\u001b[0m, W = \u001b[1;36m2\u001b[0m. \u001b[1;36m9\u001b[0m, L = \u001b[1;36m3\u001b[0m. \u001b[1;36m9\u001b[0m, W-L% = .\u001b[1;36m400\u001b[0m. \u001b[1;36m9\u001b[0m, ERA = \u001b[1;36m4.37\u001b[0m.\n", "\u001b[1;36m9\u001b[0m, G = \u001b[1;36m21\u001b[0m. \u001b[1;36m9\u001b[0m, GS = \u001b[1;36m3\u001b[0m. \u001b[1;36m9\u001b[0m, GF = \u001b[1;36m11\u001b[0m. \u001b[1;36m9\u001b[0m, CG = \u001b[1;36m0\u001b[0m. \u001b[1;36m9\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m9\u001b[0m, SV = \u001b[1;36m1\u001b[0m. \u001b[1;36m9\u001b[0m, IP = \u001b[1;36m55.2\u001b[0m. \u001b[1;36m9\u001b[0m, H = \u001b[1;36m53\u001b[0m. \u001b[1;36m9\u001b[0m, R = \u001b[1;36m32\u001b[0m. \u001b[1;36m9\u001b[0m, ER = \u001b[1;36m27\u001b[0m.\n", "\u001b[1;36m9\u001b[0m, HR = \u001b[1;36m6\u001b[0m. \u001b[1;36m9\u001b[0m, BB = \u001b[1;36m24\u001b[0m. \u001b[1;36m9\u001b[0m, IBB = \u001b[1;36m3\u001b[0m. \u001b[1;36m9\u001b[0m, SO = \u001b[1;36m20\u001b[0m. \u001b[1;36m9\u001b[0m, HBP = \u001b[1;36m1\u001b[0m. \u001b[1;36m9\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m9\u001b[0m, WP = \u001b[1;36m0\u001b[0m. \u001b[1;36m9\u001b[0m, BF = \u001b[1;36m239\u001b[0m. \u001b[1;36m9\u001b[0m, ERA+ = \u001b[1;36m91\u001b[0m. \u001b[1;36m9\u001b[0m, FIP \n", "= \u001b[1;36m4.77\u001b[0m. \u001b[1;36m9\u001b[0m, WHIP = \u001b[1;36m1.383\u001b[0m. \u001b[1;36m9\u001b[0m, H9 = \u001b[1;36m8.6\u001b[0m. \u001b[1;36m9\u001b[0m, HR9 = \u001b[1;36m1.0\u001b[0m. \u001b[1;36m9\u001b[0m, BB9 = \u001b[1;36m3.9\u001b[0m. \u001b[1;36m9\u001b[0m, SO9 = \u001b[1;36m3.2\u001b[0m. \u001b[1;36m9\u001b[0m, SO/BB = \u001b[1;36m0.83\u001b[0m. \u001b[1;36m9\u001b[0m, Awards = . Rk, \n", "Player = Player. Rk, Age = Age. Rk, Pos = Pos. Rk, WAR = WAR. Rk, W = W. Rk, L = L. Rk, W-L% = W-L%. Rk, ERA = ERA.\n", "Rk, G = G. Rk, GS = GS. Rk, GF = GF. Rk, CG = CG. Rk, SHO = SHO. Rk, SV = SV. Rk, IP = IP. Rk, H = H. Rk, R = R. \n", "Rk, ER = ER. Rk, HR = HR. Rk, BB = BB. Rk, IBB = IBB. Rk, SO = SO. Rk, HBP = HBP. Rk, BK = BK. Rk, WP = WP. Rk, BF \n", "= BF. Rk, ERA+ = ERA+. Rk, FIP = FIP. Rk, WHIP = WHIP. Rk, H9 = H9. Rk, HR9 = HR9. Rk, BB9 = BB9. Rk, SO9 = SO9. \n", "Rk, SO/BB = SO/BB. Rk, Awards = Awards. \u001b[1;36m10\u001b[0m, Player = Gil Patterson. \u001b[1;36m10\u001b[0m, Age = \u001b[1;36m21\u001b[0m. \u001b[1;36m10\u001b[0m, Pos = . \u001b[1;36m10\u001b[0m, WAR = \u001b[1;36m-0.1\u001b[0m. \u001b[1;36m10\u001b[0m, W\n", "= \u001b[1;36m1\u001b[0m. \u001b[1;36m10\u001b[0m, L = \u001b[1;36m2\u001b[0m. \u001b[1;36m10\u001b[0m, W-L% = .\u001b[1;36m333\u001b[0m. \u001b[1;36m10\u001b[0m, ERA = \u001b[1;36m5.40\u001b[0m. \u001b[1;36m10\u001b[0m, G = \u001b[1;36m10\u001b[0m. \u001b[1;36m10\u001b[0m, GS = \u001b[1;36m6\u001b[0m. \u001b[1;36m10\u001b[0m, GF = \u001b[1;36m3\u001b[0m. \u001b[1;36m10\u001b[0m, CG = \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, \n", "SV = \u001b[1;36m1\u001b[0m. \u001b[1;36m10\u001b[0m, IP = \u001b[1;36m33.1\u001b[0m. \u001b[1;36m10\u001b[0m, H = \u001b[1;36m38\u001b[0m. \u001b[1;36m10\u001b[0m, R = \u001b[1;36m20\u001b[0m. \u001b[1;36m10\u001b[0m, ER = \u001b[1;36m20\u001b[0m. \u001b[1;36m10\u001b[0m, HR = \u001b[1;36m3\u001b[0m. \u001b[1;36m10\u001b[0m, BB = \u001b[1;36m20\u001b[0m. \u001b[1;36m10\u001b[0m, IBB = \u001b[1;36m1\u001b[0m. \u001b[1;36m10\u001b[0m, SO = \u001b[1;36m29\u001b[0m. \u001b[1;36m10\u001b[0m, \n", "HBP = \u001b[1;36m3\u001b[0m. \u001b[1;36m10\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, WP = \u001b[1;36m3\u001b[0m. \u001b[1;36m10\u001b[0m, BF = \u001b[1;36m156\u001b[0m. \u001b[1;36m10\u001b[0m, ERA+ = \u001b[1;36m74\u001b[0m. \u001b[1;36m10\u001b[0m, FIP = \u001b[1;36m4.24\u001b[0m. \u001b[1;36m10\u001b[0m, WHIP = \u001b[1;36m1.740\u001b[0m. \u001b[1;36m10\u001b[0m, H9 = \u001b[1;36m10.3\u001b[0m. \u001b[1;36m10\u001b[0m, \n", "HR9 = \u001b[1;36m0.8\u001b[0m. \u001b[1;36m10\u001b[0m, BB9 = \u001b[1;36m5.4\u001b[0m. \u001b[1;36m10\u001b[0m, SO9 = \u001b[1;36m7.8\u001b[0m. \u001b[1;36m10\u001b[0m, SO/BB = \u001b[1;36m1.45\u001b[0m. \u001b[1;36m10\u001b[0m, Awards = . \u001b[1;36m11\u001b[0m, Player = Dock Ellis. \u001b[1;36m11\u001b[0m, Age = \u001b[1;36m32\u001b[0m. \n", "\u001b[1;36m11\u001b[0m, Pos = . \u001b[1;36m11\u001b[0m, WAR = \u001b[1;36m0.2\u001b[0m. \u001b[1;36m11\u001b[0m, W = \u001b[1;36m1\u001b[0m. \u001b[1;36m11\u001b[0m, L = \u001b[1;36m1\u001b[0m. \u001b[1;36m11\u001b[0m, W-L% = .\u001b[1;36m500\u001b[0m. \u001b[1;36m11\u001b[0m, ERA = \u001b[1;36m1.83\u001b[0m. \u001b[1;36m11\u001b[0m, G = \u001b[1;36m3\u001b[0m. \u001b[1;36m11\u001b[0m, GS = \u001b[1;36m3\u001b[0m. \u001b[1;36m11\u001b[0m, GF = \n", "\u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, CG = \u001b[1;36m1\u001b[0m. \u001b[1;36m11\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, IP = \u001b[1;36m19.2\u001b[0m. \u001b[1;36m11\u001b[0m, H = \u001b[1;36m18\u001b[0m. \u001b[1;36m11\u001b[0m, R = \u001b[1;36m9\u001b[0m. \u001b[1;36m11\u001b[0m, ER = \u001b[1;36m4\u001b[0m. \u001b[1;36m11\u001b[0m, HR = \u001b[1;36m1\u001b[0m. \u001b[1;36m11\u001b[0m, BB = \u001b[1;36m8\u001b[0m. \n", "\u001b[1;36m11\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, SO = \u001b[1;36m5\u001b[0m. \u001b[1;36m11\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, BK = \u001b[1;36m1\u001b[0m. \u001b[1;36m11\u001b[0m, WP = \u001b[1;36m1\u001b[0m. \u001b[1;36m11\u001b[0m, BF = \u001b[1;36m85\u001b[0m. \u001b[1;36m11\u001b[0m, ERA+ = \u001b[1;36m220\u001b[0m. \u001b[1;36m11\u001b[0m, FIP = \u001b[1;36m4.11\u001b[0m. \u001b[1;36m11\u001b[0m, WHIP\n", "= \u001b[1;36m1.322\u001b[0m. \u001b[1;36m11\u001b[0m, H9 = \u001b[1;36m8.2\u001b[0m. \u001b[1;36m11\u001b[0m, HR9 = \u001b[1;36m0.5\u001b[0m. \u001b[1;36m11\u001b[0m, BB9 = \u001b[1;36m3.7\u001b[0m. \u001b[1;36m11\u001b[0m, SO9 = \u001b[1;36m2.3\u001b[0m. \u001b[1;36m11\u001b[0m, SO/BB = \u001b[1;36m0.63\u001b[0m. \u001b[1;36m11\u001b[0m, Awards = . \u001b[1;36m12\u001b[0m, Player = \n", "Stan Thomas. \u001b[1;36m12\u001b[0m, Age = \u001b[1;36m27\u001b[0m. \u001b[1;36m12\u001b[0m, Pos = . \u001b[1;36m12\u001b[0m, WAR = \u001b[1;36m-0.3\u001b[0m. \u001b[1;36m12\u001b[0m, W = \u001b[1;36m1\u001b[0m. \u001b[1;36m12\u001b[0m, L = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, W-L% = \u001b[1;36m1.000\u001b[0m. \u001b[1;36m12\u001b[0m, ERA = \u001b[1;36m7.11\u001b[0m. \u001b[1;36m12\u001b[0m, \n", "G = \u001b[1;36m3\u001b[0m. \u001b[1;36m12\u001b[0m, GS = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, GF = \u001b[1;36m2\u001b[0m. \u001b[1;36m12\u001b[0m, CG = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, IP = \u001b[1;36m6.1\u001b[0m. \u001b[1;36m12\u001b[0m, H = \u001b[1;36m7\u001b[0m. \u001b[1;36m12\u001b[0m, R = \u001b[1;36m7\u001b[0m. \u001b[1;36m12\u001b[0m, ER = \u001b[1;36m5\u001b[0m.\n", "\u001b[1;36m12\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, BB = \u001b[1;36m4\u001b[0m. \u001b[1;36m12\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, SO = \u001b[1;36m1\u001b[0m. \u001b[1;36m12\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, WP = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, BF = \u001b[1;36m31\u001b[0m. \u001b[1;36m12\u001b[0m, ERA+ = \u001b[1;36m59\u001b[0m. \n", "\u001b[1;36m12\u001b[0m, FIP = \u001b[1;36m4.32\u001b[0m. \u001b[1;36m12\u001b[0m, WHIP = \u001b[1;36m1.737\u001b[0m. \u001b[1;36m12\u001b[0m, H9 = \u001b[1;36m9.9\u001b[0m. \u001b[1;36m12\u001b[0m, HR9 = \u001b[1;36m0.0\u001b[0m. \u001b[1;36m12\u001b[0m, BB9 = \u001b[1;36m5.7\u001b[0m. \u001b[1;36m12\u001b[0m, SO9 = \u001b[1;36m1.4\u001b[0m. \u001b[1;36m12\u001b[0m, SO/BB = \u001b[1;36m0.25\u001b[0m. \u001b[1;36m12\u001b[0m, \n", "Awards = . \u001b[1;36m13\u001b[0m, Player = Larry McCall. \u001b[1;36m13\u001b[0m, Age = \u001b[1;36m24\u001b[0m. \u001b[1;36m13\u001b[0m, Pos = . \u001b[1;36m13\u001b[0m, WAR = \u001b[1;36m-0.3\u001b[0m. \u001b[1;36m13\u001b[0m, W = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, L = \u001b[1;36m1\u001b[0m. \u001b[1;36m13\u001b[0m, W-L% = \n", ".\u001b[1;36m000\u001b[0m. \u001b[1;36m13\u001b[0m, ERA = \u001b[1;36m7.50\u001b[0m. \u001b[1;36m13\u001b[0m, G = \u001b[1;36m2\u001b[0m. \u001b[1;36m13\u001b[0m, GS = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, GF = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, CG = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, SHO = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, SV = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, IP = \u001b[1;36m6.0\u001b[0m. \u001b[1;36m13\u001b[0m, H =\n", "\u001b[1;36m12\u001b[0m. \u001b[1;36m13\u001b[0m, R = \u001b[1;36m7\u001b[0m. \u001b[1;36m13\u001b[0m, ER = \u001b[1;36m5\u001b[0m. \u001b[1;36m13\u001b[0m, HR = \u001b[1;36m1\u001b[0m. \u001b[1;36m13\u001b[0m, BB = \u001b[1;36m1\u001b[0m. \u001b[1;36m13\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, SO = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, BK = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, WP = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m13\u001b[0m, BF = \u001b[1;36m33\u001b[0m. \u001b[1;36m13\u001b[0m, ERA+ = \u001b[1;36m56\u001b[0m. \u001b[1;36m13\u001b[0m, FIP = \u001b[1;36m5.41\u001b[0m. \u001b[1;36m13\u001b[0m, WHIP = \u001b[1;36m2.167\u001b[0m. \u001b[1;36m13\u001b[0m, H9 = \u001b[1;36m18.0\u001b[0m. \u001b[1;36m13\u001b[0m, HR9 = \u001b[1;36m1.5\u001b[0m. \u001b[1;36m13\u001b[0m, BB9 = \u001b[1;36m1.5\u001b[0m. \u001b[1;36m13\u001b[0m, SO9 \n", "= \u001b[1;36m0.0\u001b[0m. \u001b[1;36m13\u001b[0m, SO/BB = \u001b[1;36m0.00\u001b[0m. \u001b[1;36m13\u001b[0m, Awards = . , Player = Team Totals. , Age = . , Pos = . , WAR = \u001b[1;36m16.0\u001b[0m. , W = \u001b[1;36m100\u001b[0m. , L = \n", "\u001b[1;36m62\u001b[0m. , W-L% = .\u001b[1;36m617\u001b[0m. , ERA = \u001b[1;36m3.63\u001b[0m. , G = \u001b[1;36m162\u001b[0m. , GS = \u001b[1;36m162\u001b[0m. , GF = \u001b[1;36m110\u001b[0m. , CG = \u001b[1;36m52\u001b[0m. , SHO = \u001b[1;36m11\u001b[0m. , SV = \u001b[1;36m34\u001b[0m. , IP = \n", "\u001b[1;36m1449.1\u001b[0m. , H = \u001b[1;36m1395\u001b[0m. , R = \u001b[1;36m651\u001b[0m. , ER = \u001b[1;36m584\u001b[0m. , HR = \u001b[1;36m139\u001b[0m. , BB = \u001b[1;36m486\u001b[0m. , IBB = \u001b[1;36m31\u001b[0m. , SO = \u001b[1;36m758\u001b[0m. , HBP = \u001b[1;36m22\u001b[0m. , BK = \u001b[1;36m2\u001b[0m. , \n", "WP = \u001b[1;36m39\u001b[0m. , BF = \u001b[1;36m6083\u001b[0m. , ERA+ = \u001b[1;36m109\u001b[0m. , FIP = \u001b[1;36m3.99\u001b[0m. , WHIP = \u001b[1;36m1.298\u001b[0m. , H9 = \u001b[1;36m8.7\u001b[0m. , HR9 = \u001b[1;36m0.9\u001b[0m. , BB9 = \u001b[1;36m3.0\u001b[0m. , SO9 = \n", "\u001b[1;36m4.7\u001b[0m. , SO/BB = \u001b[1;36m1.56\u001b[0m. , Awards = \n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Standard Pitching\n", "✨✨\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Standard Pitching\n", "✨✨\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Standard Batting\n", "* - bats left-handed, # - bats both, else - bats right, ? - unknown\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Standard Batting\n", "* - bats left-handed, # - bats both, else - bats right, ? - unknown\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Standard Batting\n", "\u001b[1;36m1\u001b[0m, Player = Mickey Rivers*. \u001b[1;36m1\u001b[0m, Age = \u001b[1;36m28\u001b[0m. \u001b[1;36m1\u001b[0m, G = \u001b[1;36m11\u001b[0m. \u001b[1;36m1\u001b[0m, PA = \u001b[1;36m50\u001b[0m. \u001b[1;36m1\u001b[0m, AB = \u001b[1;36m50\u001b[0m. \u001b[1;36m1\u001b[0m, R = \u001b[1;36m6\u001b[0m. \u001b[1;36m1\u001b[0m, H = \u001b[1;36m15\u001b[0m. \u001b[1;36m1\u001b[0m, 2B = \u001b[1;36m4\u001b[0m. \u001b[1;36m1\u001b[0m, 3B =\n", "\u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, RBI = \u001b[1;36m3\u001b[0m. \u001b[1;36m1\u001b[0m, SB = \u001b[1;36m2\u001b[0m. \u001b[1;36m1\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, SO = \u001b[1;36m4\u001b[0m. \u001b[1;36m1\u001b[0m, BA = .\u001b[1;36m300\u001b[0m. \u001b[1;36m1\u001b[0m, OBP = .\u001b[1;36m300\u001b[0m. \u001b[1;36m1\u001b[0m, SLG = .\u001b[1;36m380\u001b[0m. \n", "\u001b[1;36m1\u001b[0m, OPS = .\u001b[1;36m680\u001b[0m. \u001b[1;36m1\u001b[0m, TB = \u001b[1;36m19\u001b[0m. \u001b[1;36m1\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, Pos = *\u001b[1;36m8\u001b[0m. \u001b[1;36m1\u001b[0m, Awards = . \u001b[1;36m2\u001b[0m,\n", "Player = Thurman Munson. \u001b[1;36m2\u001b[0m, Age = \u001b[1;36m30\u001b[0m. \u001b[1;36m2\u001b[0m, G = \u001b[1;36m11\u001b[0m. \u001b[1;36m2\u001b[0m, PA = \u001b[1;36m49\u001b[0m. \u001b[1;36m2\u001b[0m, AB = \u001b[1;36m46\u001b[0m. \u001b[1;36m2\u001b[0m, R = \u001b[1;36m7\u001b[0m. \u001b[1;36m2\u001b[0m, H = \u001b[1;36m14\u001b[0m. \u001b[1;36m2\u001b[0m, 2B = \u001b[1;36m3\u001b[0m. \u001b[1;36m2\u001b[0m, 3B = \u001b[1;36m0\u001b[0m.\n", "\u001b[1;36m2\u001b[0m, HR = \u001b[1;36m2\u001b[0m. \u001b[1;36m2\u001b[0m, RBI = \u001b[1;36m8\u001b[0m. \u001b[1;36m2\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, BB = \u001b[1;36m2\u001b[0m. \u001b[1;36m2\u001b[0m, SO = \u001b[1;36m10\u001b[0m. \u001b[1;36m2\u001b[0m, BA = .\u001b[1;36m304\u001b[0m. \u001b[1;36m2\u001b[0m, OBP = .\u001b[1;36m327\u001b[0m. \u001b[1;36m2\u001b[0m, SLG = .\u001b[1;36m500\u001b[0m. \u001b[1;36m2\u001b[0m, \n", "OPS = .\u001b[1;36m827\u001b[0m. \u001b[1;36m2\u001b[0m, TB = \u001b[1;36m23\u001b[0m. \u001b[1;36m2\u001b[0m, GIDP = \u001b[1;36m1\u001b[0m. \u001b[1;36m2\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, SF = \u001b[1;36m1\u001b[0m. \u001b[1;36m2\u001b[0m, IBB = \u001b[1;36m1\u001b[0m. \u001b[1;36m2\u001b[0m, Pos = *\u001b[1;36m2\u001b[0m. \u001b[1;36m2\u001b[0m, Awards = . \u001b[1;36m3\u001b[0m, \n", "Player = Willie Randolph. \u001b[1;36m3\u001b[0m, Age = \u001b[1;36m22\u001b[0m. \u001b[1;36m3\u001b[0m, G = \u001b[1;36m11\u001b[0m. \u001b[1;36m3\u001b[0m, PA = \u001b[1;36m47\u001b[0m. \u001b[1;36m3\u001b[0m, AB = \u001b[1;36m43\u001b[0m. \u001b[1;36m3\u001b[0m, R = \u001b[1;36m9\u001b[0m. \u001b[1;36m3\u001b[0m, H = \u001b[1;36m9\u001b[0m. \u001b[1;36m3\u001b[0m, 2B = \u001b[1;36m3\u001b[0m. \u001b[1;36m3\u001b[0m, 3B = \u001b[1;36m0\u001b[0m.\n", "\u001b[1;36m3\u001b[0m, HR = \u001b[1;36m1\u001b[0m. \u001b[1;36m3\u001b[0m, RBI = \u001b[1;36m3\u001b[0m. \u001b[1;36m3\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, BB = \u001b[1;36m3\u001b[0m. \u001b[1;36m3\u001b[0m, SO = \u001b[1;36m2\u001b[0m. \u001b[1;36m3\u001b[0m, BA = .\u001b[1;36m209\u001b[0m. \u001b[1;36m3\u001b[0m, OBP = .\u001b[1;36m255\u001b[0m. \u001b[1;36m3\u001b[0m, SLG = .\u001b[1;36m349\u001b[0m. \u001b[1;36m3\u001b[0m, \n", "OPS = .\u001b[1;36m604\u001b[0m. \u001b[1;36m3\u001b[0m, TB = \u001b[1;36m15\u001b[0m. \u001b[1;36m3\u001b[0m, GIDP = \u001b[1;36m1\u001b[0m. \u001b[1;36m3\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, SF = \u001b[1;36m1\u001b[0m. \u001b[1;36m3\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m3\u001b[0m, Pos = *\u001b[1;36m4\u001b[0m. \u001b[1;36m3\u001b[0m, Awards = . \u001b[1;36m4\u001b[0m, \n", "Player = Lou Piniella. \u001b[1;36m4\u001b[0m, Age = \u001b[1;36m33\u001b[0m. \u001b[1;36m4\u001b[0m, G = \u001b[1;36m11\u001b[0m. \u001b[1;36m4\u001b[0m, PA = \u001b[1;36m45\u001b[0m. \u001b[1;36m4\u001b[0m, AB = \u001b[1;36m43\u001b[0m. \u001b[1;36m4\u001b[0m, R = \u001b[1;36m2\u001b[0m. \u001b[1;36m4\u001b[0m, H = \u001b[1;36m13\u001b[0m. \u001b[1;36m4\u001b[0m, 2B = \u001b[1;36m3\u001b[0m. \u001b[1;36m4\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m4\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, RBI = \u001b[1;36m5\u001b[0m. \u001b[1;36m4\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, SO = \u001b[1;36m4\u001b[0m. \u001b[1;36m4\u001b[0m, BA = .\u001b[1;36m302\u001b[0m. \u001b[1;36m4\u001b[0m, OBP = .\u001b[1;36m311\u001b[0m. \u001b[1;36m4\u001b[0m, SLG = .\u001b[1;36m372\u001b[0m. \u001b[1;36m4\u001b[0m, \n", "OPS = .\u001b[1;36m683\u001b[0m. \u001b[1;36m4\u001b[0m, TB = \u001b[1;36m16\u001b[0m. \u001b[1;36m4\u001b[0m, GIDP = \u001b[1;36m1\u001b[0m. \u001b[1;36m4\u001b[0m, HBP = \u001b[1;36m1\u001b[0m. \u001b[1;36m4\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, SF = \u001b[1;36m1\u001b[0m. \u001b[1;36m4\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, Pos = *\u001b[1;36m7\u001b[0m/D. \u001b[1;36m4\u001b[0m, Awards = . \u001b[1;36m5\u001b[0m, \n", "Player = Chris Chambliss*. \u001b[1;36m5\u001b[0m, Age = \u001b[1;36m28\u001b[0m. \u001b[1;36m5\u001b[0m, G = \u001b[1;36m11\u001b[0m. \u001b[1;36m5\u001b[0m, PA = \u001b[1;36m44\u001b[0m. \u001b[1;36m5\u001b[0m, AB = \u001b[1;36m41\u001b[0m. \u001b[1;36m5\u001b[0m, R = \u001b[1;36m4\u001b[0m. \u001b[1;36m5\u001b[0m, H = \u001b[1;36m8\u001b[0m. \u001b[1;36m5\u001b[0m, 2B = \u001b[1;36m2\u001b[0m. \u001b[1;36m5\u001b[0m, 3B = \n", "\u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, HR = \u001b[1;36m1\u001b[0m. \u001b[1;36m5\u001b[0m, RBI = \u001b[1;36m4\u001b[0m. \u001b[1;36m5\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, BB = \u001b[1;36m3\u001b[0m. \u001b[1;36m5\u001b[0m, SO = \u001b[1;36m6\u001b[0m. \u001b[1;36m5\u001b[0m, BA = .\u001b[1;36m195\u001b[0m. \u001b[1;36m5\u001b[0m, OBP = .\u001b[1;36m250\u001b[0m. \u001b[1;36m5\u001b[0m, SLG = .\u001b[1;36m317\u001b[0m. \n", "\u001b[1;36m5\u001b[0m, OPS = .\u001b[1;36m567\u001b[0m. \u001b[1;36m5\u001b[0m, TB = \u001b[1;36m13\u001b[0m. \u001b[1;36m5\u001b[0m, GIDP = \u001b[1;36m1\u001b[0m. \u001b[1;36m5\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, IBB = \u001b[1;36m2\u001b[0m. \u001b[1;36m5\u001b[0m, Pos = *\u001b[1;36m3\u001b[0m. \u001b[1;36m5\u001b[0m, Awards = . \u001b[1;36m6\u001b[0m,\n", "Player = Graig Nettles*. \u001b[1;36m6\u001b[0m, Age = \u001b[1;36m32\u001b[0m. \u001b[1;36m6\u001b[0m, G = \u001b[1;36m11\u001b[0m. \u001b[1;36m6\u001b[0m, PA = \u001b[1;36m43\u001b[0m. \u001b[1;36m6\u001b[0m, AB = \u001b[1;36m41\u001b[0m. \u001b[1;36m6\u001b[0m, R = \u001b[1;36m2\u001b[0m. \u001b[1;36m6\u001b[0m, H = \u001b[1;36m7\u001b[0m. \u001b[1;36m6\u001b[0m, 2B = \u001b[1;36m1\u001b[0m. \u001b[1;36m6\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m6\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, RBI = \u001b[1;36m3\u001b[0m. \u001b[1;36m6\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, BB = \u001b[1;36m2\u001b[0m. \u001b[1;36m6\u001b[0m, SO = \u001b[1;36m6\u001b[0m. \u001b[1;36m6\u001b[0m, BA = .\u001b[1;36m171\u001b[0m. \u001b[1;36m6\u001b[0m, OBP = .\u001b[1;36m209\u001b[0m. \u001b[1;36m6\u001b[0m, SLG = .\u001b[1;36m195\u001b[0m. \u001b[1;36m6\u001b[0m, \n", "OPS = .\u001b[1;36m404\u001b[0m. \u001b[1;36m6\u001b[0m, TB = \u001b[1;36m8\u001b[0m. \u001b[1;36m6\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, Pos = *\u001b[1;36m5\u001b[0m. \u001b[1;36m6\u001b[0m, Awards = . \u001b[1;36m7\u001b[0m, \n", "Player = Reggie Jackson*. \u001b[1;36m7\u001b[0m, Age = \u001b[1;36m31\u001b[0m. \u001b[1;36m7\u001b[0m, G = \u001b[1;36m11\u001b[0m. \u001b[1;36m7\u001b[0m, PA = \u001b[1;36m42\u001b[0m. \u001b[1;36m7\u001b[0m, AB = \u001b[1;36m36\u001b[0m. \u001b[1;36m7\u001b[0m, R = \u001b[1;36m11\u001b[0m. \u001b[1;36m7\u001b[0m, H = \u001b[1;36m11\u001b[0m. \u001b[1;36m7\u001b[0m, 2B = \u001b[1;36m1\u001b[0m. \u001b[1;36m7\u001b[0m, 3B = \n", "\u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, HR = \u001b[1;36m5\u001b[0m. \u001b[1;36m7\u001b[0m, RBI = \u001b[1;36m9\u001b[0m. \u001b[1;36m7\u001b[0m, SB = \u001b[1;36m1\u001b[0m. \u001b[1;36m7\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, BB = \u001b[1;36m5\u001b[0m. \u001b[1;36m7\u001b[0m, SO = \u001b[1;36m6\u001b[0m. \u001b[1;36m7\u001b[0m, BA = .\u001b[1;36m306\u001b[0m. \u001b[1;36m7\u001b[0m, OBP = .\u001b[1;36m405\u001b[0m. \u001b[1;36m7\u001b[0m, SLG = .\u001b[1;36m750\u001b[0m. \n", "\u001b[1;36m7\u001b[0m, OPS = \u001b[1;36m1.155\u001b[0m. \u001b[1;36m7\u001b[0m, TB = \u001b[1;36m27\u001b[0m. \u001b[1;36m7\u001b[0m, GIDP = \u001b[1;36m1\u001b[0m. \u001b[1;36m7\u001b[0m, HBP = \u001b[1;36m1\u001b[0m. \u001b[1;36m7\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m7\u001b[0m, Pos = *\u001b[1;36m9\u001b[0m/DH. \u001b[1;36m7\u001b[0m, Awards = \n", "WS MVP. \u001b[1;36m8\u001b[0m, Player = Bucky Dent. \u001b[1;36m8\u001b[0m, Age = \u001b[1;36m25\u001b[0m. \u001b[1;36m8\u001b[0m, G = \u001b[1;36m11\u001b[0m. \u001b[1;36m8\u001b[0m, PA = \u001b[1;36m37\u001b[0m. \u001b[1;36m8\u001b[0m, AB = \u001b[1;36m33\u001b[0m. \u001b[1;36m8\u001b[0m, R = \u001b[1;36m1\u001b[0m. \u001b[1;36m8\u001b[0m, H = \u001b[1;36m8\u001b[0m. \u001b[1;36m8\u001b[0m, 2B = \u001b[1;36m1\u001b[0m. \u001b[1;36m8\u001b[0m, \n", "3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, RBI = \u001b[1;36m4\u001b[0m. \u001b[1;36m8\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, BB = \u001b[1;36m3\u001b[0m. \u001b[1;36m8\u001b[0m, SO = \u001b[1;36m1\u001b[0m. \u001b[1;36m8\u001b[0m, BA = .\u001b[1;36m242\u001b[0m. \u001b[1;36m8\u001b[0m, OBP = .\u001b[1;36m306\u001b[0m. \u001b[1;36m8\u001b[0m, SLG = \n", ".\u001b[1;36m273\u001b[0m. \u001b[1;36m8\u001b[0m, OPS = .\u001b[1;36m578\u001b[0m. \u001b[1;36m8\u001b[0m, TB = \u001b[1;36m9\u001b[0m. \u001b[1;36m8\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, SH = \u001b[1;36m1\u001b[0m. \u001b[1;36m8\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, Pos = *\u001b[1;36m6\u001b[0m. \u001b[1;36m8\u001b[0m, Awards =\n", ". \u001b[1;36m9\u001b[0m, Player = Cliff Johnson. \u001b[1;36m9\u001b[0m, Age = \u001b[1;36m29\u001b[0m. \u001b[1;36m9\u001b[0m, G = \u001b[1;36m7\u001b[0m. \u001b[1;36m9\u001b[0m, PA = \u001b[1;36m17\u001b[0m. \u001b[1;36m9\u001b[0m, AB = \u001b[1;36m16\u001b[0m. \u001b[1;36m9\u001b[0m, R = \u001b[1;36m2\u001b[0m. \u001b[1;36m9\u001b[0m, H = \u001b[1;36m6\u001b[0m. \u001b[1;36m9\u001b[0m, 2B = \u001b[1;36m2\u001b[0m. \u001b[1;36m9\u001b[0m, 3B = \n", "\u001b[1;36m0\u001b[0m. \u001b[1;36m9\u001b[0m, HR = \u001b[1;36m1\u001b[0m. \u001b[1;36m9\u001b[0m, RBI = \u001b[1;36m2\u001b[0m. \u001b[1;36m9\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m9\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m9\u001b[0m, BB = \u001b[1;36m1\u001b[0m. \u001b[1;36m9\u001b[0m, SO = \u001b[1;36m2\u001b[0m. \u001b[1;36m9\u001b[0m, BA = .\u001b[1;36m375\u001b[0m. \u001b[1;36m9\u001b[0m, OBP = .\u001b[1;36m412\u001b[0m. \u001b[1;36m9\u001b[0m, SLG = .\u001b[1;36m688\u001b[0m. \n", "\u001b[1;36m9\u001b[0m, OPS = \u001b[1;36m1.099\u001b[0m. \u001b[1;36m9\u001b[0m, TB = \u001b[1;36m11\u001b[0m. \u001b[1;36m9\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m9\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m9\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m9\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m9\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m9\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95mDH2.\u001b[0m \u001b[1;36m9\u001b[0m, Awards = .\n", "\u001b[1;36m10\u001b[0m, Player = Paul Blair. \u001b[1;36m10\u001b[0m, Age = \u001b[1;36m33\u001b[0m. \u001b[1;36m10\u001b[0m, G = \u001b[1;36m7\u001b[0m. \u001b[1;36m10\u001b[0m, PA = \u001b[1;36m9\u001b[0m. \u001b[1;36m10\u001b[0m, AB = \u001b[1;36m9\u001b[0m. \u001b[1;36m10\u001b[0m, R = \u001b[1;36m1\u001b[0m. \u001b[1;36m10\u001b[0m, H = \u001b[1;36m3\u001b[0m. \u001b[1;36m10\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, 3B \n", "= \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, RBI = \u001b[1;36m1\u001b[0m. \u001b[1;36m10\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, SO = \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, BA = .\u001b[1;36m333\u001b[0m. \u001b[1;36m10\u001b[0m, OBP = .\u001b[1;36m333\u001b[0m. \u001b[1;36m10\u001b[0m, \n", "SLG = .\u001b[1;36m333\u001b[0m. \u001b[1;36m10\u001b[0m, OPS = .\u001b[1;36m667\u001b[0m. \u001b[1;36m10\u001b[0m, TB = \u001b[1;36m3\u001b[0m. \u001b[1;36m10\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m10\u001b[0m, Pos = \n", "\u001b[35m/\u001b[0m\u001b[95m9H.\u001b[0m \u001b[1;36m10\u001b[0m, Awards = . \u001b[1;36m11\u001b[0m, Player = Roy White#. \u001b[1;36m11\u001b[0m, Age = \u001b[1;36m33\u001b[0m. \u001b[1;36m11\u001b[0m, G = \u001b[1;36m6\u001b[0m. \u001b[1;36m11\u001b[0m, PA = \u001b[1;36m8\u001b[0m. \u001b[1;36m11\u001b[0m, AB = \u001b[1;36m7\u001b[0m. \u001b[1;36m11\u001b[0m, R = \u001b[1;36m2\u001b[0m. \u001b[1;36m11\u001b[0m, H = \u001b[1;36m2\u001b[0m.\n", "\u001b[1;36m11\u001b[0m, 2B = \u001b[1;36m2\u001b[0m. \u001b[1;36m11\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, BB = \u001b[1;36m1\u001b[0m. \u001b[1;36m11\u001b[0m, SO = \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, BA = .\u001b[1;36m286\u001b[0m. \u001b[1;36m11\u001b[0m,\n", "OBP = .\u001b[1;36m375\u001b[0m. \u001b[1;36m11\u001b[0m, SLG = .\u001b[1;36m571\u001b[0m. \u001b[1;36m11\u001b[0m, OPS = .\u001b[1;36m946\u001b[0m. \u001b[1;36m11\u001b[0m, TB = \u001b[1;36m4\u001b[0m. \u001b[1;36m11\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, IBB \n", "= \u001b[1;36m0\u001b[0m. \u001b[1;36m11\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95mH7D.\u001b[0m \u001b[1;36m11\u001b[0m, Awards = . \u001b[1;36m12\u001b[0m, Player = Mike Torrez. \u001b[1;36m12\u001b[0m, Age = \u001b[1;36m30\u001b[0m. \u001b[1;36m12\u001b[0m, G = \u001b[1;36m4\u001b[0m. \u001b[1;36m12\u001b[0m, PA = \u001b[1;36m7\u001b[0m. \u001b[1;36m12\u001b[0m, AB = \u001b[1;36m6\u001b[0m. \u001b[1;36m12\u001b[0m, \n", "R = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, H = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, SO = \u001b[1;36m4\u001b[0m. \n", "\u001b[1;36m12\u001b[0m, BA = .\u001b[1;36m000\u001b[0m. \u001b[1;36m12\u001b[0m, OBP = .\u001b[1;36m000\u001b[0m. \u001b[1;36m12\u001b[0m, SLG = .\u001b[1;36m000\u001b[0m. \u001b[1;36m12\u001b[0m, OPS = .\u001b[1;36m000\u001b[0m. \u001b[1;36m12\u001b[0m, TB = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, SH = \u001b[1;36m1\u001b[0m. \n", "\u001b[1;36m12\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95m1.\u001b[0m \u001b[1;36m12\u001b[0m, Awards = . \u001b[1;36m13\u001b[0m, Player = Don Gullett. \u001b[1;36m13\u001b[0m, Age = \u001b[1;36m26\u001b[0m. \u001b[1;36m13\u001b[0m, G = \u001b[1;36m3\u001b[0m. \u001b[1;36m13\u001b[0m, PA = \n", "\u001b[1;36m4\u001b[0m. \u001b[1;36m13\u001b[0m, AB = \u001b[1;36m2\u001b[0m. \u001b[1;36m13\u001b[0m, R = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, H = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, \n", "BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, SO = \u001b[1;36m2\u001b[0m. \u001b[1;36m13\u001b[0m, BA = .\u001b[1;36m000\u001b[0m. \u001b[1;36m13\u001b[0m, OBP = .\u001b[1;36m000\u001b[0m. \u001b[1;36m13\u001b[0m, SLG = .\u001b[1;36m000\u001b[0m. \u001b[1;36m13\u001b[0m, OPS = .\u001b[1;36m000\u001b[0m. \u001b[1;36m13\u001b[0m, TB = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, \n", "HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, SH = \u001b[1;36m2\u001b[0m. \u001b[1;36m13\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95m1.\u001b[0m \u001b[1;36m13\u001b[0m, Awards = . \u001b[1;36m14\u001b[0m, Player = Ron Guidry*. \u001b[1;36m14\u001b[0m, Age = \u001b[1;36m26\u001b[0m. \n", "\u001b[1;36m14\u001b[0m, G = \u001b[1;36m3\u001b[0m. \u001b[1;36m14\u001b[0m, PA = \u001b[1;36m3\u001b[0m. \u001b[1;36m14\u001b[0m, AB = \u001b[1;36m2\u001b[0m. \u001b[1;36m14\u001b[0m, R = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, H = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, SB = \n", "\u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, SO = \u001b[1;36m1\u001b[0m. \u001b[1;36m14\u001b[0m, BA = .\u001b[1;36m000\u001b[0m. \u001b[1;36m14\u001b[0m, OBP = .\u001b[1;36m000\u001b[0m. \u001b[1;36m14\u001b[0m, SLG = .\u001b[1;36m000\u001b[0m. \u001b[1;36m14\u001b[0m, OPS = .\u001b[1;36m000\u001b[0m. \u001b[1;36m14\u001b[0m, TB = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m14\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, SH = \u001b[1;36m1\u001b[0m. \u001b[1;36m14\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95m1.\u001b[0m \u001b[1;36m14\u001b[0m, Awards = . \u001b[1;36m15\u001b[0m, Player = George \n", "Zeber#. \u001b[1;36m15\u001b[0m, Age = \u001b[1;36m26\u001b[0m. \u001b[1;36m15\u001b[0m, G = \u001b[1;36m2\u001b[0m. \u001b[1;36m15\u001b[0m, PA = \u001b[1;36m2\u001b[0m. \u001b[1;36m15\u001b[0m, AB = \u001b[1;36m2\u001b[0m. \u001b[1;36m15\u001b[0m, R = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, H = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m15\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, SO = \u001b[1;36m2\u001b[0m. \u001b[1;36m15\u001b[0m, BA = .\u001b[1;36m000\u001b[0m. \u001b[1;36m15\u001b[0m, OBP = .\u001b[1;36m000\u001b[0m. \u001b[1;36m15\u001b[0m, SLG = .\u001b[1;36m000\u001b[0m. \u001b[1;36m15\u001b[0m, OPS\n", "= .\u001b[1;36m000\u001b[0m. \u001b[1;36m15\u001b[0m, TB = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95mH.\u001b[0m \u001b[1;36m15\u001b[0m, Awards = . \n", "\u001b[1;36m16\u001b[0m, Player = Sparky Lyle*. \u001b[1;36m16\u001b[0m, Age = \u001b[1;36m32\u001b[0m. \u001b[1;36m16\u001b[0m, G = \u001b[1;36m6\u001b[0m. \u001b[1;36m16\u001b[0m, PA = \u001b[1;36m2\u001b[0m. \u001b[1;36m16\u001b[0m, AB = \u001b[1;36m2\u001b[0m. \u001b[1;36m16\u001b[0m, R = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, H = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, \n", "3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, SO = \u001b[1;36m2\u001b[0m. \u001b[1;36m16\u001b[0m, BA = .\u001b[1;36m000\u001b[0m. \u001b[1;36m16\u001b[0m, OBP = .\u001b[1;36m000\u001b[0m. \u001b[1;36m16\u001b[0m,\n", "SLG = .\u001b[1;36m000\u001b[0m. \u001b[1;36m16\u001b[0m, OPS = .\u001b[1;36m000\u001b[0m. \u001b[1;36m16\u001b[0m, TB = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, Pos = \n", "\u001b[35m/\u001b[0m\u001b[95m1.\u001b[0m \u001b[1;36m16\u001b[0m, Awards = . \u001b[1;36m17\u001b[0m, Player = Dick Tidrow. \u001b[1;36m17\u001b[0m, Age = \u001b[1;36m30\u001b[0m. \u001b[1;36m17\u001b[0m, G = \u001b[1;36m4\u001b[0m. \u001b[1;36m17\u001b[0m, PA = \u001b[1;36m1\u001b[0m. \u001b[1;36m17\u001b[0m, AB = \u001b[1;36m1\u001b[0m. \u001b[1;36m17\u001b[0m, R = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, H = \u001b[1;36m0\u001b[0m.\n", "\u001b[1;36m17\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, SO = \u001b[1;36m1\u001b[0m. \u001b[1;36m17\u001b[0m, BA = .\u001b[1;36m000\u001b[0m. \u001b[1;36m17\u001b[0m,\n", "OBP = .\u001b[1;36m000\u001b[0m. \u001b[1;36m17\u001b[0m, SLG = .\u001b[1;36m000\u001b[0m. \u001b[1;36m17\u001b[0m, OPS = .\u001b[1;36m000\u001b[0m. \u001b[1;36m17\u001b[0m, TB = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, IBB \n", "= \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95m1.\u001b[0m \u001b[1;36m17\u001b[0m, Awards = . \u001b[1;36m18\u001b[0m, Player = Fred Stanley. \u001b[1;36m18\u001b[0m, Age = \u001b[1;36m29\u001b[0m. \u001b[1;36m18\u001b[0m, G = \u001b[1;36m3\u001b[0m. \u001b[1;36m18\u001b[0m, PA = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, AB = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, R\n", "= \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, H = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, SO = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m18\u001b[0m, BA = . \u001b[1;36m18\u001b[0m, OBP = . \u001b[1;36m18\u001b[0m, SLG = . \u001b[1;36m18\u001b[0m, OPS = . \u001b[1;36m18\u001b[0m, TB = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, GIDP = . \u001b[1;36m18\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, SF = . \u001b[1;36m18\u001b[0m, IBB\n", "= . \u001b[1;36m18\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95m6.\u001b[0m \u001b[1;36m18\u001b[0m, Awards = . \u001b[1;36m19\u001b[0m, Player = Catfish Hunter. \u001b[1;36m19\u001b[0m, Age = \u001b[1;36m31\u001b[0m. \u001b[1;36m19\u001b[0m, G = \u001b[1;36m2\u001b[0m. \u001b[1;36m19\u001b[0m, PA = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, AB = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, \n", "R = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, H = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, SO = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m19\u001b[0m, BA = . \u001b[1;36m19\u001b[0m, OBP = . \u001b[1;36m19\u001b[0m, SLG = . \u001b[1;36m19\u001b[0m, OPS = . \u001b[1;36m19\u001b[0m, TB = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, GIDP = . \u001b[1;36m19\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, SF = . \u001b[1;36m19\u001b[0m, IBB\n", "= . \u001b[1;36m19\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95m1.\u001b[0m \u001b[1;36m19\u001b[0m, Awards = . \u001b[1;36m20\u001b[0m, Player = Ed Figueroa. \u001b[1;36m20\u001b[0m, Age = \u001b[1;36m28\u001b[0m. \u001b[1;36m20\u001b[0m, G = \u001b[1;36m1\u001b[0m. \u001b[1;36m20\u001b[0m, PA = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, AB = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, R =\n", "\u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, H = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, SO = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, \n", "BA = . \u001b[1;36m20\u001b[0m, OBP = . \u001b[1;36m20\u001b[0m, SLG = . \u001b[1;36m20\u001b[0m, OPS = . \u001b[1;36m20\u001b[0m, TB = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, IBB =\n", "\u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95m1.\u001b[0m \u001b[1;36m20\u001b[0m, Awards = . \u001b[1;36m21\u001b[0m, Player = Ken Clay. \u001b[1;36m21\u001b[0m, Age = \u001b[1;36m23\u001b[0m. \u001b[1;36m21\u001b[0m, G = \u001b[1;36m2\u001b[0m. \u001b[1;36m21\u001b[0m, PA = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, AB = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, R = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m21\u001b[0m, H = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, SO = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, BA \n", "= . \u001b[1;36m21\u001b[0m, OBP = . \u001b[1;36m21\u001b[0m, SLG = . \u001b[1;36m21\u001b[0m, OPS = . \u001b[1;36m21\u001b[0m, TB = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, GIDP = . \u001b[1;36m21\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, SF = . \u001b[1;36m21\u001b[0m, IBB = . \n", "\u001b[1;36m21\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95m1.\u001b[0m \u001b[1;36m21\u001b[0m, Awards = . , Player = Team Totals. , Age = . , G = \u001b[1;36m11\u001b[0m. , PA = \u001b[1;36m410\u001b[0m. , AB = \u001b[1;36m380\u001b[0m. , R = \u001b[1;36m47\u001b[0m. , H = \n", "\u001b[1;36m96\u001b[0m. , 2B = \u001b[1;36m22\u001b[0m. , 3B = \u001b[1;36m0\u001b[0m. , HR = \u001b[1;36m10\u001b[0m. , RBI = \u001b[1;36m42\u001b[0m. , SB = \u001b[1;36m3\u001b[0m. , CS = \u001b[1;36m0\u001b[0m. , BB = \u001b[1;36m20\u001b[0m. , SO = \u001b[1;36m53\u001b[0m. , BA = .\u001b[1;36m253\u001b[0m. , OBP = \n", ".\u001b[1;36m291\u001b[0m. , SLG = .\u001b[1;36m389\u001b[0m. , OPS = .\u001b[1;36m681\u001b[0m. , TB = \u001b[1;36m148\u001b[0m. , GIDP = \u001b[1;36m5\u001b[0m. , HBP = \u001b[1;36m2\u001b[0m. , SH = \u001b[1;36m5\u001b[0m. , SF = \u001b[1;36m3\u001b[0m. , IBB = \u001b[1;36m3\u001b[0m. , Pos = . , \n", "Awards = \n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Standard Batting\n", "\u001b[1;36m1\u001b[0m, Player = Thurman Munson. \u001b[1;36m1\u001b[0m, Age = \u001b[1;36m30\u001b[0m. \u001b[1;36m1\u001b[0m, Pos = C. \u001b[1;36m1\u001b[0m, WAR = \u001b[1;36m4.9\u001b[0m. \u001b[1;36m1\u001b[0m, G = \u001b[1;36m149\u001b[0m. \u001b[1;36m1\u001b[0m, PA = \u001b[1;36m638\u001b[0m. \u001b[1;36m1\u001b[0m, AB = \u001b[1;36m595\u001b[0m. \u001b[1;36m1\u001b[0m, R = \u001b[1;36m85\u001b[0m.\n", "\u001b[1;36m1\u001b[0m, H = \u001b[1;36m183\u001b[0m. \u001b[1;36m1\u001b[0m, 2B = \u001b[1;36m28\u001b[0m. \u001b[1;36m1\u001b[0m, 3B = \u001b[1;36m5\u001b[0m. \u001b[1;36m1\u001b[0m, HR = \u001b[1;36m18\u001b[0m. \u001b[1;36m1\u001b[0m, RBI = \u001b[1;36m100\u001b[0m. \u001b[1;36m1\u001b[0m, SB = \u001b[1;36m5\u001b[0m. \u001b[1;36m1\u001b[0m, CS = \u001b[1;36m6\u001b[0m. \u001b[1;36m1\u001b[0m, BB = \u001b[1;36m39\u001b[0m. \u001b[1;36m1\u001b[0m, SO = \u001b[1;36m55\u001b[0m. \u001b[1;36m1\u001b[0m, BA = \n", ".\u001b[1;36m308\u001b[0m. \u001b[1;36m1\u001b[0m, OBP = .\u001b[1;36m351\u001b[0m. \u001b[1;36m1\u001b[0m, SLG = .\u001b[1;36m462\u001b[0m. \u001b[1;36m1\u001b[0m, OPS = .\u001b[1;36m813\u001b[0m. \u001b[1;36m1\u001b[0m, OPS+ = \u001b[1;36m121\u001b[0m. \u001b[1;36m1\u001b[0m, rOBA = .\u001b[1;36m372\u001b[0m. \u001b[1;36m1\u001b[0m, Rbat+ = \u001b[1;36m126\u001b[0m. \u001b[1;36m1\u001b[0m, TB = \u001b[1;36m275\u001b[0m. \u001b[1;36m1\u001b[0m, \n", "GIDP = \u001b[1;36m18\u001b[0m. \u001b[1;36m1\u001b[0m, HBP = \u001b[1;36m2\u001b[0m. \u001b[1;36m1\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m1\u001b[0m, SF = \u001b[1;36m2\u001b[0m. \u001b[1;36m1\u001b[0m, IBB = \u001b[1;36m8\u001b[0m. \u001b[1;36m1\u001b[0m, Pos = *2D/H. \u001b[1;36m1\u001b[0m, Awards = AS,MVP-\u001b[1;36m7\u001b[0m. \u001b[1;36m2\u001b[0m, Player = Chris \n", "Chambliss*. \u001b[1;36m2\u001b[0m, Age = \u001b[1;36m28\u001b[0m. \u001b[1;36m2\u001b[0m, Pos = 1B. \u001b[1;36m2\u001b[0m, WAR = \u001b[1;36m2.4\u001b[0m. \u001b[1;36m2\u001b[0m, G = \u001b[1;36m157\u001b[0m. \u001b[1;36m2\u001b[0m, PA = \u001b[1;36m653\u001b[0m. \u001b[1;36m2\u001b[0m, AB = \u001b[1;36m600\u001b[0m. \u001b[1;36m2\u001b[0m, R = \u001b[1;36m90\u001b[0m. \u001b[1;36m2\u001b[0m, H = \u001b[1;36m172\u001b[0m. \u001b[1;36m2\u001b[0m,\n", "2B = \u001b[1;36m32\u001b[0m. \u001b[1;36m2\u001b[0m, 3B = \u001b[1;36m6\u001b[0m. \u001b[1;36m2\u001b[0m, HR = \u001b[1;36m17\u001b[0m. \u001b[1;36m2\u001b[0m, RBI = \u001b[1;36m90\u001b[0m. \u001b[1;36m2\u001b[0m, SB = \u001b[1;36m4\u001b[0m. \u001b[1;36m2\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, BB = \u001b[1;36m45\u001b[0m. \u001b[1;36m2\u001b[0m, SO = \u001b[1;36m73\u001b[0m. \u001b[1;36m2\u001b[0m, BA = .\u001b[1;36m287\u001b[0m. \u001b[1;36m2\u001b[0m, OBP = \n", ".\u001b[1;36m336\u001b[0m. \u001b[1;36m2\u001b[0m, SLG = .\u001b[1;36m445\u001b[0m. \u001b[1;36m2\u001b[0m, OPS = .\u001b[1;36m781\u001b[0m. \u001b[1;36m2\u001b[0m, OPS+ = \u001b[1;36m112\u001b[0m. \u001b[1;36m2\u001b[0m, rOBA = .\u001b[1;36m353\u001b[0m. \u001b[1;36m2\u001b[0m, Rbat+ = \u001b[1;36m109\u001b[0m. \u001b[1;36m2\u001b[0m, TB = \u001b[1;36m267\u001b[0m. \u001b[1;36m2\u001b[0m, GIDP = \u001b[1;36m22\u001b[0m. \u001b[1;36m2\u001b[0m, \n", "HBP = \u001b[1;36m2\u001b[0m. \u001b[1;36m2\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m2\u001b[0m, SF = \u001b[1;36m5\u001b[0m. \u001b[1;36m2\u001b[0m, IBB = \u001b[1;36m5\u001b[0m. \u001b[1;36m2\u001b[0m, Pos = *\u001b[1;36m3\u001b[0m/H. \u001b[1;36m2\u001b[0m, Awards = MVP-\u001b[1;36m29\u001b[0m. \u001b[1;36m3\u001b[0m, Player = Willie Randolph. \u001b[1;36m3\u001b[0m, Age =\n", "\u001b[1;36m22\u001b[0m. \u001b[1;36m3\u001b[0m, Pos = 2B. \u001b[1;36m3\u001b[0m, WAR = \u001b[1;36m4.6\u001b[0m. \u001b[1;36m3\u001b[0m, G = \u001b[1;36m147\u001b[0m. \u001b[1;36m3\u001b[0m, PA = \u001b[1;36m624\u001b[0m. \u001b[1;36m3\u001b[0m, AB = \u001b[1;36m551\u001b[0m. \u001b[1;36m3\u001b[0m, R = \u001b[1;36m91\u001b[0m. \u001b[1;36m3\u001b[0m, H = \u001b[1;36m151\u001b[0m. \u001b[1;36m3\u001b[0m, 2B = \u001b[1;36m28\u001b[0m. \u001b[1;36m3\u001b[0m, 3B = \u001b[1;36m11\u001b[0m.\n", "\u001b[1;36m3\u001b[0m, HR = \u001b[1;36m4\u001b[0m. \u001b[1;36m3\u001b[0m, RBI = \u001b[1;36m40\u001b[0m. \u001b[1;36m3\u001b[0m, SB = \u001b[1;36m13\u001b[0m. \u001b[1;36m3\u001b[0m, CS = \u001b[1;36m6\u001b[0m. \u001b[1;36m3\u001b[0m, BB = \u001b[1;36m64\u001b[0m. \u001b[1;36m3\u001b[0m, SO = \u001b[1;36m53\u001b[0m. \u001b[1;36m3\u001b[0m, BA = .\u001b[1;36m274\u001b[0m. \u001b[1;36m3\u001b[0m, OBP = .\u001b[1;36m347\u001b[0m. \u001b[1;36m3\u001b[0m, SLG = .\u001b[1;36m387\u001b[0m. \n", "\u001b[1;36m3\u001b[0m, OPS = .\u001b[1;36m734\u001b[0m. \u001b[1;36m3\u001b[0m, OPS+ = \u001b[1;36m101\u001b[0m. \u001b[1;36m3\u001b[0m, rOBA = .\u001b[1;36m344\u001b[0m. \u001b[1;36m3\u001b[0m, Rbat+ = \u001b[1;36m104\u001b[0m. \u001b[1;36m3\u001b[0m, TB = \u001b[1;36m213\u001b[0m. \u001b[1;36m3\u001b[0m, GIDP = \u001b[1;36m11\u001b[0m. \u001b[1;36m3\u001b[0m, HBP = \u001b[1;36m1\u001b[0m. \u001b[1;36m3\u001b[0m, SH = \u001b[1;36m2\u001b[0m. \u001b[1;36m3\u001b[0m, \n", "SF = \u001b[1;36m6\u001b[0m. \u001b[1;36m3\u001b[0m, IBB = \u001b[1;36m1\u001b[0m. \u001b[1;36m3\u001b[0m, Pos = *\u001b[1;36m4\u001b[0m/H. \u001b[1;36m3\u001b[0m, Awards = AS. \u001b[1;36m4\u001b[0m, Player = Bucky Dent. \u001b[1;36m4\u001b[0m, Age = \u001b[1;36m25\u001b[0m. \u001b[1;36m4\u001b[0m, Pos = SS. \u001b[1;36m4\u001b[0m, WAR = \u001b[1;36m2.7\u001b[0m. \n", "\u001b[1;36m4\u001b[0m, G = \u001b[1;36m158\u001b[0m. \u001b[1;36m4\u001b[0m, PA = \u001b[1;36m540\u001b[0m. \u001b[1;36m4\u001b[0m, AB = \u001b[1;36m477\u001b[0m. \u001b[1;36m4\u001b[0m, R = \u001b[1;36m54\u001b[0m. \u001b[1;36m4\u001b[0m, H = \u001b[1;36m118\u001b[0m. \u001b[1;36m4\u001b[0m, 2B = \u001b[1;36m18\u001b[0m. \u001b[1;36m4\u001b[0m, 3B = \u001b[1;36m4\u001b[0m. \u001b[1;36m4\u001b[0m, HR = \u001b[1;36m8\u001b[0m. \u001b[1;36m4\u001b[0m, RBI = \u001b[1;36m49\u001b[0m. \u001b[1;36m4\u001b[0m, SB =\n", "\u001b[1;36m1\u001b[0m. \u001b[1;36m4\u001b[0m, CS = \u001b[1;36m1\u001b[0m. \u001b[1;36m4\u001b[0m, BB = \u001b[1;36m39\u001b[0m. \u001b[1;36m4\u001b[0m, SO = \u001b[1;36m28\u001b[0m. \u001b[1;36m4\u001b[0m, BA = .\u001b[1;36m247\u001b[0m. \u001b[1;36m4\u001b[0m, OBP = .\u001b[1;36m300\u001b[0m. \u001b[1;36m4\u001b[0m, SLG = .\u001b[1;36m352\u001b[0m. \u001b[1;36m4\u001b[0m, OPS = .\u001b[1;36m653\u001b[0m. \u001b[1;36m4\u001b[0m, OPS+ = \u001b[1;36m79\u001b[0m. \u001b[1;36m4\u001b[0m, \n", "rOBA = .\u001b[1;36m310\u001b[0m. \u001b[1;36m4\u001b[0m, Rbat+ = \u001b[1;36m80\u001b[0m. \u001b[1;36m4\u001b[0m, TB = \u001b[1;36m168\u001b[0m. \u001b[1;36m4\u001b[0m, GIDP = \u001b[1;36m9\u001b[0m. \u001b[1;36m4\u001b[0m, HBP = \u001b[1;36m1\u001b[0m. \u001b[1;36m4\u001b[0m, SH = \u001b[1;36m14\u001b[0m. \u001b[1;36m4\u001b[0m, SF = \u001b[1;36m9\u001b[0m. \u001b[1;36m4\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m4\u001b[0m, Pos = *\u001b[1;36m6\u001b[0m. \n", "\u001b[1;36m4\u001b[0m, Awards = . \u001b[1;36m5\u001b[0m, Player = Graig Nettles*. \u001b[1;36m5\u001b[0m, Age = \u001b[1;36m32\u001b[0m. \u001b[1;36m5\u001b[0m, Pos = 3B. \u001b[1;36m5\u001b[0m, WAR = \u001b[1;36m5.5\u001b[0m. \u001b[1;36m5\u001b[0m, G = \u001b[1;36m158\u001b[0m. \u001b[1;36m5\u001b[0m, PA = \u001b[1;36m664\u001b[0m. \u001b[1;36m5\u001b[0m, AB = \n", "\u001b[1;36m589\u001b[0m. \u001b[1;36m5\u001b[0m, R = \u001b[1;36m99\u001b[0m. \u001b[1;36m5\u001b[0m, H = \u001b[1;36m150\u001b[0m. \u001b[1;36m5\u001b[0m, 2B = \u001b[1;36m23\u001b[0m. \u001b[1;36m5\u001b[0m, 3B = \u001b[1;36m4\u001b[0m. \u001b[1;36m5\u001b[0m, HR = \u001b[1;36m37\u001b[0m. \u001b[1;36m5\u001b[0m, RBI = \u001b[1;36m107\u001b[0m. \u001b[1;36m5\u001b[0m, SB = \u001b[1;36m2\u001b[0m. \u001b[1;36m5\u001b[0m, CS = \u001b[1;36m5\u001b[0m. \u001b[1;36m5\u001b[0m, BB = \u001b[1;36m68\u001b[0m. \u001b[1;36m5\u001b[0m, \n", "SO = \u001b[1;36m79\u001b[0m. \u001b[1;36m5\u001b[0m, BA = .\u001b[1;36m255\u001b[0m. \u001b[1;36m5\u001b[0m, OBP = .\u001b[1;36m333\u001b[0m. \u001b[1;36m5\u001b[0m, SLG = .\u001b[1;36m496\u001b[0m. \u001b[1;36m5\u001b[0m, OPS = .\u001b[1;36m829\u001b[0m. \u001b[1;36m5\u001b[0m, OPS+ = \u001b[1;36m124\u001b[0m. \u001b[1;36m5\u001b[0m, rOBA = .\u001b[1;36m365\u001b[0m. \u001b[1;36m5\u001b[0m, Rbat+ = \u001b[1;36m121\u001b[0m. \n", "\u001b[1;36m5\u001b[0m, TB = \u001b[1;36m292\u001b[0m. \u001b[1;36m5\u001b[0m, GIDP = \u001b[1;36m8\u001b[0m. \u001b[1;36m5\u001b[0m, HBP = \u001b[1;36m3\u001b[0m. \u001b[1;36m5\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m5\u001b[0m, SF = \u001b[1;36m4\u001b[0m. \u001b[1;36m5\u001b[0m, IBB = \u001b[1;36m8\u001b[0m. \u001b[1;36m5\u001b[0m, Pos = *\u001b[1;36m5\u001b[0m/DH. \u001b[1;36m5\u001b[0m, Awards = AS,MVP-\u001b[1;36m5\u001b[0m,GG. \u001b[1;36m6\u001b[0m,\n", "Player = Roy White#. \u001b[1;36m6\u001b[0m, Age = \u001b[1;36m33\u001b[0m. \u001b[1;36m6\u001b[0m, Pos = LF. \u001b[1;36m6\u001b[0m, WAR = \u001b[1;36m3.6\u001b[0m. \u001b[1;36m6\u001b[0m, G = \u001b[1;36m143\u001b[0m. \u001b[1;36m6\u001b[0m, PA = \u001b[1;36m606\u001b[0m. \u001b[1;36m6\u001b[0m, AB = \u001b[1;36m519\u001b[0m. \u001b[1;36m6\u001b[0m, R = \u001b[1;36m72\u001b[0m. \u001b[1;36m6\u001b[0m, H \n", "= \u001b[1;36m139\u001b[0m. \u001b[1;36m6\u001b[0m, 2B = \u001b[1;36m25\u001b[0m. \u001b[1;36m6\u001b[0m, 3B = \u001b[1;36m2\u001b[0m. \u001b[1;36m6\u001b[0m, HR = \u001b[1;36m14\u001b[0m. \u001b[1;36m6\u001b[0m, RBI = \u001b[1;36m52\u001b[0m. \u001b[1;36m6\u001b[0m, SB = \u001b[1;36m18\u001b[0m. \u001b[1;36m6\u001b[0m, CS = \u001b[1;36m11\u001b[0m. \u001b[1;36m6\u001b[0m, BB = \u001b[1;36m75\u001b[0m. \u001b[1;36m6\u001b[0m, SO = \u001b[1;36m58\u001b[0m. \u001b[1;36m6\u001b[0m, BA = \n", ".\u001b[1;36m268\u001b[0m. \u001b[1;36m6\u001b[0m, OBP = .\u001b[1;36m358\u001b[0m. \u001b[1;36m6\u001b[0m, SLG = .\u001b[1;36m405\u001b[0m. \u001b[1;36m6\u001b[0m, OPS = .\u001b[1;36m762\u001b[0m. \u001b[1;36m6\u001b[0m, OPS+ = \u001b[1;36m109\u001b[0m. \u001b[1;36m6\u001b[0m, rOBA = .\u001b[1;36m355\u001b[0m. \u001b[1;36m6\u001b[0m, Rbat+ = \u001b[1;36m113\u001b[0m. \u001b[1;36m6\u001b[0m, TB = \u001b[1;36m210\u001b[0m. \u001b[1;36m6\u001b[0m, \n", "GIDP = \u001b[1;36m11\u001b[0m. \u001b[1;36m6\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m6\u001b[0m, SH = \u001b[1;36m8\u001b[0m. \u001b[1;36m6\u001b[0m, SF = \u001b[1;36m4\u001b[0m. \u001b[1;36m6\u001b[0m, IBB = \u001b[1;36m9\u001b[0m. \u001b[1;36m6\u001b[0m, Pos = *\u001b[1;36m7\u001b[0m/DH98. \u001b[1;36m6\u001b[0m, Awards = . \u001b[1;36m7\u001b[0m, Player = Mickey \n", "Rivers*. \u001b[1;36m7\u001b[0m, Age = \u001b[1;36m28\u001b[0m. \u001b[1;36m7\u001b[0m, Pos = CF. \u001b[1;36m7\u001b[0m, WAR = \u001b[1;36m5.3\u001b[0m. \u001b[1;36m7\u001b[0m, G = \u001b[1;36m138\u001b[0m. \u001b[1;36m7\u001b[0m, PA = \u001b[1;36m594\u001b[0m. \u001b[1;36m7\u001b[0m, AB = \u001b[1;36m565\u001b[0m. \u001b[1;36m7\u001b[0m, R = \u001b[1;36m79\u001b[0m. \u001b[1;36m7\u001b[0m, H = \u001b[1;36m184\u001b[0m. \u001b[1;36m7\u001b[0m, 2B\n", "= \u001b[1;36m18\u001b[0m. \u001b[1;36m7\u001b[0m, 3B = \u001b[1;36m5\u001b[0m. \u001b[1;36m7\u001b[0m, HR = \u001b[1;36m12\u001b[0m. \u001b[1;36m7\u001b[0m, RBI = \u001b[1;36m69\u001b[0m. \u001b[1;36m7\u001b[0m, SB = \u001b[1;36m22\u001b[0m. \u001b[1;36m7\u001b[0m, CS = \u001b[1;36m14\u001b[0m. \u001b[1;36m7\u001b[0m, BB = \u001b[1;36m18\u001b[0m. \u001b[1;36m7\u001b[0m, SO = \u001b[1;36m45\u001b[0m. \u001b[1;36m7\u001b[0m, BA = .\u001b[1;36m326\u001b[0m. \u001b[1;36m7\u001b[0m, OBP = \n", ".\u001b[1;36m350\u001b[0m. \u001b[1;36m7\u001b[0m, SLG = .\u001b[1;36m439\u001b[0m. \u001b[1;36m7\u001b[0m, OPS = .\u001b[1;36m789\u001b[0m. \u001b[1;36m7\u001b[0m, OPS+ = \u001b[1;36m115\u001b[0m. \u001b[1;36m7\u001b[0m, rOBA = .\u001b[1;36m361\u001b[0m. \u001b[1;36m7\u001b[0m, Rbat+ = \u001b[1;36m118\u001b[0m. \u001b[1;36m7\u001b[0m, TB = \u001b[1;36m248\u001b[0m. \u001b[1;36m7\u001b[0m, GIDP = \u001b[1;36m2\u001b[0m. \u001b[1;36m7\u001b[0m, HBP\n", "= \u001b[1;36m4\u001b[0m. \u001b[1;36m7\u001b[0m, SH = \u001b[1;36m5\u001b[0m. \u001b[1;36m7\u001b[0m, SF = \u001b[1;36m2\u001b[0m. \u001b[1;36m7\u001b[0m, IBB = \u001b[1;36m4\u001b[0m. \u001b[1;36m7\u001b[0m, Pos = *\u001b[1;36m8\u001b[0m/HD. \u001b[1;36m7\u001b[0m, Awards = MVP-\u001b[1;36m11\u001b[0m. \u001b[1;36m8\u001b[0m, Player = Reggie Jackson*. \u001b[1;36m8\u001b[0m, Age = \n", "\u001b[1;36m31\u001b[0m. \u001b[1;36m8\u001b[0m, Pos = RF. \u001b[1;36m8\u001b[0m, WAR = \u001b[1;36m4.5\u001b[0m. \u001b[1;36m8\u001b[0m, G = \u001b[1;36m146\u001b[0m. \u001b[1;36m8\u001b[0m, PA = \u001b[1;36m606\u001b[0m. \u001b[1;36m8\u001b[0m, AB = \u001b[1;36m525\u001b[0m. \u001b[1;36m8\u001b[0m, R = \u001b[1;36m93\u001b[0m. \u001b[1;36m8\u001b[0m, H = \u001b[1;36m150\u001b[0m. \u001b[1;36m8\u001b[0m, 2B = \u001b[1;36m39\u001b[0m. \u001b[1;36m8\u001b[0m, 3B = \u001b[1;36m2\u001b[0m. \n", "\u001b[1;36m8\u001b[0m, HR = \u001b[1;36m32\u001b[0m. \u001b[1;36m8\u001b[0m, RBI = \u001b[1;36m110\u001b[0m. \u001b[1;36m8\u001b[0m, SB = \u001b[1;36m17\u001b[0m. \u001b[1;36m8\u001b[0m, CS = \u001b[1;36m3\u001b[0m. \u001b[1;36m8\u001b[0m, BB = \u001b[1;36m74\u001b[0m. \u001b[1;36m8\u001b[0m, SO = \u001b[1;36m129\u001b[0m. \u001b[1;36m8\u001b[0m, BA = .\u001b[1;36m286\u001b[0m. \u001b[1;36m8\u001b[0m, OBP = .\u001b[1;36m375\u001b[0m. \u001b[1;36m8\u001b[0m, SLG = \n", ".\u001b[1;36m550\u001b[0m. \u001b[1;36m8\u001b[0m, OPS = .\u001b[1;36m925\u001b[0m. \u001b[1;36m8\u001b[0m, OPS+ = \u001b[1;36m150\u001b[0m. \u001b[1;36m8\u001b[0m, rOBA = .\u001b[1;36m411\u001b[0m. \u001b[1;36m8\u001b[0m, Rbat+ = \u001b[1;36m148\u001b[0m. \u001b[1;36m8\u001b[0m, TB = \u001b[1;36m289\u001b[0m. \u001b[1;36m8\u001b[0m, GIDP = \u001b[1;36m3\u001b[0m. \u001b[1;36m8\u001b[0m, HBP = \u001b[1;36m3\u001b[0m. \u001b[1;36m8\u001b[0m, SH = \n", "\u001b[1;36m0\u001b[0m. \u001b[1;36m8\u001b[0m, SF = \u001b[1;36m4\u001b[0m. \u001b[1;36m8\u001b[0m, IBB = \u001b[1;36m4\u001b[0m. \u001b[1;36m8\u001b[0m, Pos = *9D/H. \u001b[1;36m8\u001b[0m, Awards = AS,MVP-\u001b[1;36m8\u001b[0m. \u001b[1;36m9\u001b[0m, Player = Carlos May*. \u001b[1;36m9\u001b[0m, Age = \u001b[1;36m29\u001b[0m. \u001b[1;36m9\u001b[0m, Pos = DH. \n", "\u001b[1;36m9\u001b[0m, WAR = \u001b[1;36m-1.1\u001b[0m. \u001b[1;36m9\u001b[0m, G = \u001b[1;36m65\u001b[0m. \u001b[1;36m9\u001b[0m, PA = \u001b[1;36m203\u001b[0m. \u001b[1;36m9\u001b[0m, AB = \u001b[1;36m181\u001b[0m. \u001b[1;36m9\u001b[0m, R = \u001b[1;36m21\u001b[0m. \u001b[1;36m9\u001b[0m, H = \u001b[1;36m41\u001b[0m. \u001b[1;36m9\u001b[0m, 2B = \u001b[1;36m7\u001b[0m. \u001b[1;36m9\u001b[0m, 3B = \u001b[1;36m1\u001b[0m. \u001b[1;36m9\u001b[0m, HR = \u001b[1;36m2\u001b[0m. \u001b[1;36m9\u001b[0m, RBI =\n", "\u001b[1;36m16\u001b[0m. \u001b[1;36m9\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m9\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m9\u001b[0m, BB = \u001b[1;36m17\u001b[0m. \u001b[1;36m9\u001b[0m, SO = \u001b[1;36m24\u001b[0m. \u001b[1;36m9\u001b[0m, BA = .\u001b[1;36m227\u001b[0m. \u001b[1;36m9\u001b[0m, OBP = .\u001b[1;36m292\u001b[0m. \u001b[1;36m9\u001b[0m, SLG = .\u001b[1;36m309\u001b[0m. \u001b[1;36m9\u001b[0m, OPS = .\u001b[1;36m601\u001b[0m. \u001b[1;36m9\u001b[0m, \n", "OPS+ = \u001b[1;36m66\u001b[0m. \u001b[1;36m9\u001b[0m, rOBA = .\u001b[1;36m273\u001b[0m. \u001b[1;36m9\u001b[0m, Rbat+ = \u001b[1;36m52\u001b[0m. \u001b[1;36m9\u001b[0m, TB = \u001b[1;36m56\u001b[0m. \u001b[1;36m9\u001b[0m, GIDP = \u001b[1;36m7\u001b[0m. \u001b[1;36m9\u001b[0m, HBP = \u001b[1;36m1\u001b[0m. \u001b[1;36m9\u001b[0m, SH = \u001b[1;36m1\u001b[0m. \u001b[1;36m9\u001b[0m, SF = \u001b[1;36m3\u001b[0m. \u001b[1;36m9\u001b[0m, IBB = \u001b[1;36m4\u001b[0m. \u001b[1;36m9\u001b[0m,\n", "Pos = DH/\u001b[1;36m79\u001b[0m. \u001b[1;36m9\u001b[0m, Awards = . Rk, Player = Player. Rk, Age = Age. Rk, Pos = Pos. Rk, WAR = WAR. Rk, G = G. Rk, PA = \n", "PA. Rk, AB = AB. Rk, R = R. Rk, H = H. Rk, 2B = 2B. Rk, 3B = 3B. Rk, HR = HR. Rk, RBI = RBI. Rk, SB = SB. Rk, CS = \n", "CS. Rk, BB = BB. Rk, SO = SO. Rk, BA = BA. Rk, OBP = OBP. Rk, SLG = SLG. Rk, OPS = OPS. Rk, OPS+ = OPS+. Rk, rOBA =\n", "rOBA. Rk, Rbat+ = Rbat+. Rk, TB = TB. Rk, GIDP = GIDP. Rk, HBP = HBP. Rk, SH = SH. Rk, SF = SF. Rk, IBB = IBB. Rk, \n", "Pos = Pos. Rk, Awards = Awards. \u001b[1;36m10\u001b[0m, Player = Lou Piniella. \u001b[1;36m10\u001b[0m, Age = \u001b[1;36m33\u001b[0m. \u001b[1;36m10\u001b[0m, Pos = OF. \u001b[1;36m10\u001b[0m, WAR = \u001b[1;36m1.4\u001b[0m. \u001b[1;36m10\u001b[0m, G = \u001b[1;36m103\u001b[0m. \n", "\u001b[1;36m10\u001b[0m, PA = \u001b[1;36m369\u001b[0m. \u001b[1;36m10\u001b[0m, AB = \u001b[1;36m339\u001b[0m. \u001b[1;36m10\u001b[0m, R = \u001b[1;36m47\u001b[0m. \u001b[1;36m10\u001b[0m, H = \u001b[1;36m112\u001b[0m. \u001b[1;36m10\u001b[0m, 2B = \u001b[1;36m19\u001b[0m. \u001b[1;36m10\u001b[0m, 3B = \u001b[1;36m3\u001b[0m. \u001b[1;36m10\u001b[0m, HR = \u001b[1;36m12\u001b[0m. \u001b[1;36m10\u001b[0m, RBI = \u001b[1;36m45\u001b[0m. \u001b[1;36m10\u001b[0m, SB = \n", "\u001b[1;36m2\u001b[0m. \u001b[1;36m10\u001b[0m, CS = \u001b[1;36m2\u001b[0m. \u001b[1;36m10\u001b[0m, BB = \u001b[1;36m20\u001b[0m. \u001b[1;36m10\u001b[0m, SO = \u001b[1;36m31\u001b[0m. \u001b[1;36m10\u001b[0m, BA = .\u001b[1;36m330\u001b[0m. \u001b[1;36m10\u001b[0m, OBP = .\u001b[1;36m365\u001b[0m. \u001b[1;36m10\u001b[0m, SLG = .\u001b[1;36m510\u001b[0m. \u001b[1;36m10\u001b[0m, OPS = .\u001b[1;36m876\u001b[0m. \u001b[1;36m10\u001b[0m, OPS+ = \n", "\u001b[1;36m138\u001b[0m. \u001b[1;36m10\u001b[0m, rOBA = .\u001b[1;36m388\u001b[0m. \u001b[1;36m10\u001b[0m, Rbat+ = \u001b[1;36m137\u001b[0m. \u001b[1;36m10\u001b[0m, TB = \u001b[1;36m173\u001b[0m. \u001b[1;36m10\u001b[0m, GIDP = \u001b[1;36m12\u001b[0m. \u001b[1;36m10\u001b[0m, HBP = \u001b[1;36m1\u001b[0m. \u001b[1;36m10\u001b[0m, SH = \u001b[1;36m5\u001b[0m. \u001b[1;36m10\u001b[0m, SF = \u001b[1;36m4\u001b[0m. \u001b[1;36m10\u001b[0m, IBB = \n", "\u001b[1;36m3\u001b[0m. \u001b[1;36m10\u001b[0m, Pos = D97H/\u001b[1;36m3\u001b[0m. \u001b[1;36m10\u001b[0m, Awards = . \u001b[1;36m11\u001b[0m, Player = Paul Blair. \u001b[1;36m11\u001b[0m, Age = \u001b[1;36m33\u001b[0m. \u001b[1;36m11\u001b[0m, Pos = CF. \u001b[1;36m11\u001b[0m, WAR = \u001b[1;36m0.5\u001b[0m. \u001b[1;36m11\u001b[0m, G = \u001b[1;36m83\u001b[0m.\n", "\u001b[1;36m11\u001b[0m, PA = \u001b[1;36m183\u001b[0m. \u001b[1;36m11\u001b[0m, AB = \u001b[1;36m164\u001b[0m. \u001b[1;36m11\u001b[0m, R = \u001b[1;36m20\u001b[0m. \u001b[1;36m11\u001b[0m, H = \u001b[1;36m43\u001b[0m. \u001b[1;36m11\u001b[0m, 2B = \u001b[1;36m4\u001b[0m. \u001b[1;36m11\u001b[0m, 3B = \u001b[1;36m3\u001b[0m. \u001b[1;36m11\u001b[0m, HR = \u001b[1;36m4\u001b[0m. \u001b[1;36m11\u001b[0m, RBI = \u001b[1;36m25\u001b[0m. \u001b[1;36m11\u001b[0m, SB = \u001b[1;36m3\u001b[0m. \n", "\u001b[1;36m11\u001b[0m, CS = \u001b[1;36m2\u001b[0m. \u001b[1;36m11\u001b[0m, BB = \u001b[1;36m9\u001b[0m. \u001b[1;36m11\u001b[0m, SO = \u001b[1;36m16\u001b[0m. \u001b[1;36m11\u001b[0m, BA = .\u001b[1;36m262\u001b[0m. \u001b[1;36m11\u001b[0m, OBP = .\u001b[1;36m303\u001b[0m. \u001b[1;36m11\u001b[0m, SLG = .\u001b[1;36m396\u001b[0m. \u001b[1;36m11\u001b[0m, OPS = .\u001b[1;36m700\u001b[0m. \u001b[1;36m11\u001b[0m, OPS+ = \u001b[1;36m90\u001b[0m. \n", "\u001b[1;36m11\u001b[0m, rOBA = .\u001b[1;36m317\u001b[0m. \u001b[1;36m11\u001b[0m, Rbat+ = \u001b[1;36m86\u001b[0m. \u001b[1;36m11\u001b[0m, TB = \u001b[1;36m65\u001b[0m. \u001b[1;36m11\u001b[0m, GIDP = \u001b[1;36m7\u001b[0m. \u001b[1;36m11\u001b[0m, HBP = \u001b[1;36m2\u001b[0m. \u001b[1;36m11\u001b[0m, SH = \u001b[1;36m5\u001b[0m. \u001b[1;36m11\u001b[0m, SF = \u001b[1;36m3\u001b[0m. \u001b[1;36m11\u001b[0m, IBB = \u001b[1;36m1\u001b[0m. \u001b[1;36m11\u001b[0m, \n", "Pos = \u001b[1;36m89\u001b[0m/H7D. \u001b[1;36m11\u001b[0m, Awards = . \u001b[1;36m12\u001b[0m, Player = Cliff Johnson. \u001b[1;36m12\u001b[0m, Age = \u001b[1;36m29\u001b[0m. \u001b[1;36m12\u001b[0m, Pos = DH. \u001b[1;36m12\u001b[0m, WAR = \u001b[1;36m1.9\u001b[0m. \u001b[1;36m12\u001b[0m, G = \u001b[1;36m56\u001b[0m. \u001b[1;36m12\u001b[0m,\n", "PA = \u001b[1;36m168\u001b[0m. \u001b[1;36m12\u001b[0m, AB = \u001b[1;36m142\u001b[0m. \u001b[1;36m12\u001b[0m, R = \u001b[1;36m24\u001b[0m. \u001b[1;36m12\u001b[0m, H = \u001b[1;36m42\u001b[0m. \u001b[1;36m12\u001b[0m, 2B = \u001b[1;36m8\u001b[0m. \u001b[1;36m12\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, HR = \u001b[1;36m12\u001b[0m. \u001b[1;36m12\u001b[0m, RBI = \u001b[1;36m31\u001b[0m. \u001b[1;36m12\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, \n", "CS = \u001b[1;36m1\u001b[0m. \u001b[1;36m12\u001b[0m, BB = \u001b[1;36m20\u001b[0m. \u001b[1;36m12\u001b[0m, SO = \u001b[1;36m23\u001b[0m. \u001b[1;36m12\u001b[0m, BA = .\u001b[1;36m296\u001b[0m. \u001b[1;36m12\u001b[0m, OBP = .\u001b[1;36m405\u001b[0m. \u001b[1;36m12\u001b[0m, SLG = .\u001b[1;36m606\u001b[0m. \u001b[1;36m12\u001b[0m, OPS = \u001b[1;36m1.010\u001b[0m. \u001b[1;36m12\u001b[0m, OPS+ = \u001b[1;36m173\u001b[0m. \n", "\u001b[1;36m12\u001b[0m, rOBA = .\u001b[1;36m437\u001b[0m. \u001b[1;36m12\u001b[0m, Rbat+ = \u001b[1;36m171\u001b[0m. \u001b[1;36m12\u001b[0m, TB = \u001b[1;36m86\u001b[0m. \u001b[1;36m12\u001b[0m, GIDP = \u001b[1;36m2\u001b[0m. \u001b[1;36m12\u001b[0m, HBP = \u001b[1;36m6\u001b[0m. \u001b[1;36m12\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m12\u001b[0m, \n", "Pos = D2H3. \u001b[1;36m12\u001b[0m, Awards = . \u001b[1;36m13\u001b[0m, Player = Jim Wynn. \u001b[1;36m13\u001b[0m, Age = \u001b[1;36m35\u001b[0m. \u001b[1;36m13\u001b[0m, Pos = DH. \u001b[1;36m13\u001b[0m, WAR = \u001b[1;36m-0.2\u001b[0m. \u001b[1;36m13\u001b[0m, G = \u001b[1;36m30\u001b[0m. \u001b[1;36m13\u001b[0m, PA = \n", "\u001b[1;36m92\u001b[0m. \u001b[1;36m13\u001b[0m, AB = \u001b[1;36m77\u001b[0m. \u001b[1;36m13\u001b[0m, R = \u001b[1;36m7\u001b[0m. \u001b[1;36m13\u001b[0m, H = \u001b[1;36m11\u001b[0m. \u001b[1;36m13\u001b[0m, 2B = \u001b[1;36m2\u001b[0m. \u001b[1;36m13\u001b[0m, 3B = \u001b[1;36m1\u001b[0m. \u001b[1;36m13\u001b[0m, HR = \u001b[1;36m1\u001b[0m. \u001b[1;36m13\u001b[0m, RBI = \u001b[1;36m3\u001b[0m. \u001b[1;36m13\u001b[0m, SB = \u001b[1;36m1\u001b[0m. \u001b[1;36m13\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m13\u001b[0m, BB = \u001b[1;36m15\u001b[0m. \u001b[1;36m13\u001b[0m, SO = \u001b[1;36m16\u001b[0m. \u001b[1;36m13\u001b[0m, BA = .\u001b[1;36m143\u001b[0m. \u001b[1;36m13\u001b[0m, OBP = .\u001b[1;36m283\u001b[0m. \u001b[1;36m13\u001b[0m, SLG = .\u001b[1;36m234\u001b[0m. \u001b[1;36m13\u001b[0m, OPS = .\u001b[1;36m516\u001b[0m. \u001b[1;36m13\u001b[0m, OPS+ = \u001b[1;36m44\u001b[0m. \u001b[1;36m13\u001b[0m, rOBA = \n", ".\u001b[1;36m262\u001b[0m. \u001b[1;36m13\u001b[0m, Rbat+ = \u001b[1;36m44\u001b[0m. \u001b[1;36m13\u001b[0m, TB = \u001b[1;36m18\u001b[0m. \u001b[1;36m13\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m13\u001b[0m, IBB = \u001b[1;36m1\u001b[0m. \u001b[1;36m13\u001b[0m, Pos = DH/\u001b[1;36m79\u001b[0m.\n", "\u001b[1;36m13\u001b[0m, Awards = . \u001b[1;36m14\u001b[0m, Player = George Zeber#. \u001b[1;36m14\u001b[0m, Age = \u001b[1;36m26\u001b[0m. \u001b[1;36m14\u001b[0m, Pos = 2B. \u001b[1;36m14\u001b[0m, WAR = \u001b[1;36m0.6\u001b[0m. \u001b[1;36m14\u001b[0m, G = \u001b[1;36m25\u001b[0m. \u001b[1;36m14\u001b[0m, PA = \u001b[1;36m75\u001b[0m. \u001b[1;36m14\u001b[0m, \n", "AB = \u001b[1;36m65\u001b[0m. \u001b[1;36m14\u001b[0m, R = \u001b[1;36m8\u001b[0m. \u001b[1;36m14\u001b[0m, H = \u001b[1;36m21\u001b[0m. \u001b[1;36m14\u001b[0m, 2B = \u001b[1;36m3\u001b[0m. \u001b[1;36m14\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, HR = \u001b[1;36m3\u001b[0m. \u001b[1;36m14\u001b[0m, RBI = \u001b[1;36m10\u001b[0m. \u001b[1;36m14\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, BB = \n", "\u001b[1;36m9\u001b[0m. \u001b[1;36m14\u001b[0m, SO = \u001b[1;36m11\u001b[0m. \u001b[1;36m14\u001b[0m, BA = .\u001b[1;36m323\u001b[0m. \u001b[1;36m14\u001b[0m, OBP = .\u001b[1;36m405\u001b[0m. \u001b[1;36m14\u001b[0m, SLG = .\u001b[1;36m508\u001b[0m. \u001b[1;36m14\u001b[0m, OPS = .\u001b[1;36m913\u001b[0m. \u001b[1;36m14\u001b[0m, OPS+ = \u001b[1;36m149\u001b[0m. \u001b[1;36m14\u001b[0m, rOBA = .\u001b[1;36m416\u001b[0m. \u001b[1;36m14\u001b[0m,\n", "Rbat+ = \u001b[1;36m156\u001b[0m. \u001b[1;36m14\u001b[0m, TB = \u001b[1;36m33\u001b[0m. \u001b[1;36m14\u001b[0m, GIDP = \u001b[1;36m1\u001b[0m. \u001b[1;36m14\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, SH = \u001b[1;36m1\u001b[0m. \u001b[1;36m14\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m14\u001b[0m, IBB = \u001b[1;36m1\u001b[0m. \u001b[1;36m14\u001b[0m, Pos = \u001b[1;36m4\u001b[0m/56DH. \u001b[1;36m14\u001b[0m, \n", "Awards = . \u001b[1;36m15\u001b[0m, Player = Fran Healy. \u001b[1;36m15\u001b[0m, Age = \u001b[1;36m30\u001b[0m. \u001b[1;36m15\u001b[0m, Pos = C. \u001b[1;36m15\u001b[0m, WAR = \u001b[1;36m0.2\u001b[0m. \u001b[1;36m15\u001b[0m, G = \u001b[1;36m27\u001b[0m. \u001b[1;36m15\u001b[0m, PA = \u001b[1;36m75\u001b[0m. \u001b[1;36m15\u001b[0m, AB = \u001b[1;36m67\u001b[0m.\n", "\u001b[1;36m15\u001b[0m, R = \u001b[1;36m10\u001b[0m. \u001b[1;36m15\u001b[0m, H = \u001b[1;36m15\u001b[0m. \u001b[1;36m15\u001b[0m, 2B = \u001b[1;36m5\u001b[0m. \u001b[1;36m15\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, RBI = \u001b[1;36m7\u001b[0m. \u001b[1;36m15\u001b[0m, SB = \u001b[1;36m1\u001b[0m. \u001b[1;36m15\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, BB = \u001b[1;36m6\u001b[0m. \u001b[1;36m15\u001b[0m, SO\n", "= \u001b[1;36m13\u001b[0m. \u001b[1;36m15\u001b[0m, BA = .\u001b[1;36m224\u001b[0m. \u001b[1;36m15\u001b[0m, OBP = .\u001b[1;36m288\u001b[0m. \u001b[1;36m15\u001b[0m, SLG = .\u001b[1;36m299\u001b[0m. \u001b[1;36m15\u001b[0m, OPS = .\u001b[1;36m586\u001b[0m. \u001b[1;36m15\u001b[0m, OPS+ = \u001b[1;36m61\u001b[0m. \u001b[1;36m15\u001b[0m, rOBA = .\u001b[1;36m300\u001b[0m. \u001b[1;36m15\u001b[0m, Rbat+ = \n", "\u001b[1;36m70\u001b[0m. \u001b[1;36m15\u001b[0m, TB = \u001b[1;36m20\u001b[0m. \u001b[1;36m15\u001b[0m, GIDP = \u001b[1;36m1\u001b[0m. \u001b[1;36m15\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, SH = \u001b[1;36m2\u001b[0m. \u001b[1;36m15\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m15\u001b[0m, Pos = \u001b[1;36m2\u001b[0m/H. \u001b[1;36m15\u001b[0m, Awards = . \u001b[1;36m16\u001b[0m, \n", "Player = Fred Stanley. \u001b[1;36m16\u001b[0m, Age = \u001b[1;36m29\u001b[0m. \u001b[1;36m16\u001b[0m, Pos = SS. \u001b[1;36m16\u001b[0m, WAR = \u001b[1;36m0.0\u001b[0m. \u001b[1;36m16\u001b[0m, G = \u001b[1;36m48\u001b[0m. \u001b[1;36m16\u001b[0m, PA = \u001b[1;36m56\u001b[0m. \u001b[1;36m16\u001b[0m, AB = \u001b[1;36m46\u001b[0m. \u001b[1;36m16\u001b[0m, R = \u001b[1;36m6\u001b[0m. \n", "\u001b[1;36m16\u001b[0m, H = \u001b[1;36m12\u001b[0m. \u001b[1;36m16\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, HR = \u001b[1;36m1\u001b[0m. \u001b[1;36m16\u001b[0m, RBI = \u001b[1;36m7\u001b[0m. \u001b[1;36m16\u001b[0m, SB = \u001b[1;36m1\u001b[0m. \u001b[1;36m16\u001b[0m, CS = \u001b[1;36m1\u001b[0m. \u001b[1;36m16\u001b[0m, BB = \u001b[1;36m8\u001b[0m. \u001b[1;36m16\u001b[0m, SO = \u001b[1;36m6\u001b[0m. \u001b[1;36m16\u001b[0m, BA\n", "= .\u001b[1;36m261\u001b[0m. \u001b[1;36m16\u001b[0m, OBP = .\u001b[1;36m370\u001b[0m. \u001b[1;36m16\u001b[0m, SLG = .\u001b[1;36m326\u001b[0m. \u001b[1;36m16\u001b[0m, OPS = .\u001b[1;36m696\u001b[0m. \u001b[1;36m16\u001b[0m, OPS+ = \u001b[1;36m93\u001b[0m. \u001b[1;36m16\u001b[0m, rOBA = .\u001b[1;36m325\u001b[0m. \u001b[1;36m16\u001b[0m, Rbat+ = \u001b[1;36m94\u001b[0m. \u001b[1;36m16\u001b[0m, TB = \n", "\u001b[1;36m15\u001b[0m. \u001b[1;36m16\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, SH = \u001b[1;36m2\u001b[0m. \u001b[1;36m16\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m16\u001b[0m, Pos = \u001b[1;36m6\u001b[0m/45H. \u001b[1;36m16\u001b[0m, Awards = . \u001b[1;36m17\u001b[0m, Player = \n", "Dell Alston*. \u001b[1;36m17\u001b[0m, Age = \u001b[1;36m24\u001b[0m. \u001b[1;36m17\u001b[0m, Pos = DH. \u001b[1;36m17\u001b[0m, WAR = \u001b[1;36m0.2\u001b[0m. \u001b[1;36m17\u001b[0m, G = \u001b[1;36m22\u001b[0m. \u001b[1;36m17\u001b[0m, PA = \u001b[1;36m45\u001b[0m. \u001b[1;36m17\u001b[0m, AB = \u001b[1;36m40\u001b[0m. \u001b[1;36m17\u001b[0m, R = \u001b[1;36m10\u001b[0m. \u001b[1;36m17\u001b[0m, H = \n", "\u001b[1;36m13\u001b[0m. \u001b[1;36m17\u001b[0m, 2B = \u001b[1;36m4\u001b[0m. \u001b[1;36m17\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, HR = \u001b[1;36m1\u001b[0m. \u001b[1;36m17\u001b[0m, RBI = \u001b[1;36m4\u001b[0m. \u001b[1;36m17\u001b[0m, SB = \u001b[1;36m3\u001b[0m. \u001b[1;36m17\u001b[0m, CS = \u001b[1;36m3\u001b[0m. \u001b[1;36m17\u001b[0m, BB = \u001b[1;36m3\u001b[0m. \u001b[1;36m17\u001b[0m, SO = \u001b[1;36m4\u001b[0m. \u001b[1;36m17\u001b[0m, BA = .\u001b[1;36m325\u001b[0m.\n", "\u001b[1;36m17\u001b[0m, OBP = .\u001b[1;36m364\u001b[0m. \u001b[1;36m17\u001b[0m, SLG = .\u001b[1;36m500\u001b[0m. \u001b[1;36m17\u001b[0m, OPS = .\u001b[1;36m864\u001b[0m. \u001b[1;36m17\u001b[0m, OPS+ = \u001b[1;36m135\u001b[0m. \u001b[1;36m17\u001b[0m, rOBA = .\u001b[1;36m381\u001b[0m. \u001b[1;36m17\u001b[0m, Rbat+ = \u001b[1;36m143\u001b[0m. \u001b[1;36m17\u001b[0m, TB = \u001b[1;36m20\u001b[0m. \u001b[1;36m17\u001b[0m, \n", "GIDP = \u001b[1;36m2\u001b[0m. \u001b[1;36m17\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, SH = \u001b[1;36m1\u001b[0m. \u001b[1;36m17\u001b[0m, SF = \u001b[1;36m1\u001b[0m. \u001b[1;36m17\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m17\u001b[0m, Pos = HD/\u001b[1;36m9\u001b[0m. \u001b[1;36m17\u001b[0m, Awards = . \u001b[1;36m18\u001b[0m, Player = Dave \n", "Kingman. \u001b[1;36m18\u001b[0m, Age = \u001b[1;36m28\u001b[0m. \u001b[1;36m18\u001b[0m, Pos = DH. \u001b[1;36m18\u001b[0m, WAR = \u001b[1;36m0.4\u001b[0m. \u001b[1;36m18\u001b[0m, G = \u001b[1;36m8\u001b[0m. \u001b[1;36m18\u001b[0m, PA = \u001b[1;36m27\u001b[0m. \u001b[1;36m18\u001b[0m, AB = \u001b[1;36m24\u001b[0m. \u001b[1;36m18\u001b[0m, R = \u001b[1;36m5\u001b[0m. \u001b[1;36m18\u001b[0m, H = \u001b[1;36m6\u001b[0m. \u001b[1;36m18\u001b[0m, \n", "2B = \u001b[1;36m2\u001b[0m. \u001b[1;36m18\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, HR = \u001b[1;36m4\u001b[0m. \u001b[1;36m18\u001b[0m, RBI = \u001b[1;36m7\u001b[0m. \u001b[1;36m18\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, CS = \u001b[1;36m1\u001b[0m. \u001b[1;36m18\u001b[0m, BB = \u001b[1;36m2\u001b[0m. \u001b[1;36m18\u001b[0m, SO = \u001b[1;36m13\u001b[0m. \u001b[1;36m18\u001b[0m, BA = .\u001b[1;36m250\u001b[0m. \u001b[1;36m18\u001b[0m, \n", "OBP = .\u001b[1;36m333\u001b[0m. \u001b[1;36m18\u001b[0m, SLG = .\u001b[1;36m833\u001b[0m. \u001b[1;36m18\u001b[0m, OPS = \u001b[1;36m1.167\u001b[0m. \u001b[1;36m18\u001b[0m, OPS+ = \u001b[1;36m208\u001b[0m. \u001b[1;36m18\u001b[0m, rOBA = .\u001b[1;36m497\u001b[0m. \u001b[1;36m18\u001b[0m, Rbat+ = \u001b[1;36m224\u001b[0m. \u001b[1;36m18\u001b[0m, TB = \u001b[1;36m20\u001b[0m. \u001b[1;36m18\u001b[0m, \n", "GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, HBP = \u001b[1;36m1\u001b[0m. \u001b[1;36m18\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m18\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95mDH.\u001b[0m \u001b[1;36m18\u001b[0m, Awards = . \u001b[1;36m19\u001b[0m, Player = Mickey \n", "Klutts. \u001b[1;36m19\u001b[0m, Age = \u001b[1;36m22\u001b[0m. \u001b[1;36m19\u001b[0m, Pos = IF. \u001b[1;36m19\u001b[0m, WAR = \u001b[1;36m0.4\u001b[0m. \u001b[1;36m19\u001b[0m, G = \u001b[1;36m5\u001b[0m. \u001b[1;36m19\u001b[0m, PA = \u001b[1;36m18\u001b[0m. \u001b[1;36m19\u001b[0m, AB = \u001b[1;36m15\u001b[0m. \u001b[1;36m19\u001b[0m, R = \u001b[1;36m3\u001b[0m. \u001b[1;36m19\u001b[0m, H = \u001b[1;36m4\u001b[0m. \u001b[1;36m19\u001b[0m, \n", "2B = \u001b[1;36m1\u001b[0m. \u001b[1;36m19\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, HR = \u001b[1;36m1\u001b[0m. \u001b[1;36m19\u001b[0m, RBI = \u001b[1;36m4\u001b[0m. \u001b[1;36m19\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, CS = \u001b[1;36m1\u001b[0m. \u001b[1;36m19\u001b[0m, BB = \u001b[1;36m2\u001b[0m. \u001b[1;36m19\u001b[0m, SO = \u001b[1;36m1\u001b[0m. \u001b[1;36m19\u001b[0m, BA = .\u001b[1;36m267\u001b[0m. \u001b[1;36m19\u001b[0m, OBP\n", "= .\u001b[1;36m389\u001b[0m. \u001b[1;36m19\u001b[0m, SLG = .\u001b[1;36m533\u001b[0m. \u001b[1;36m19\u001b[0m, OPS = .\u001b[1;36m922\u001b[0m. \u001b[1;36m19\u001b[0m, OPS+ = \u001b[1;36m150\u001b[0m. \u001b[1;36m19\u001b[0m, rOBA = .\u001b[1;36m380\u001b[0m. \u001b[1;36m19\u001b[0m, Rbat+ = \u001b[1;36m149\u001b[0m. \u001b[1;36m19\u001b[0m, TB = \u001b[1;36m8\u001b[0m. \u001b[1;36m19\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m.\n", "\u001b[1;36m19\u001b[0m, HBP = \u001b[1;36m1\u001b[0m. \u001b[1;36m19\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m19\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95m56.\u001b[0m \u001b[1;36m19\u001b[0m, Awards = . \u001b[1;36m20\u001b[0m, Player = Elrod Hendricks*. \u001b[1;36m20\u001b[0m, \n", "Age = \u001b[1;36m36\u001b[0m. \u001b[1;36m20\u001b[0m, Pos = C. \u001b[1;36m20\u001b[0m, WAR = \u001b[1;36m0.0\u001b[0m. \u001b[1;36m20\u001b[0m, G = \u001b[1;36m10\u001b[0m. \u001b[1;36m20\u001b[0m, PA = \u001b[1;36m11\u001b[0m. \u001b[1;36m20\u001b[0m, AB = \u001b[1;36m11\u001b[0m. \u001b[1;36m20\u001b[0m, R = \u001b[1;36m1\u001b[0m. \u001b[1;36m20\u001b[0m, H = \u001b[1;36m3\u001b[0m. \u001b[1;36m20\u001b[0m, 2B = \u001b[1;36m1\u001b[0m. \u001b[1;36m20\u001b[0m, \n", "3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, HR = \u001b[1;36m1\u001b[0m. \u001b[1;36m20\u001b[0m, RBI = \u001b[1;36m5\u001b[0m. \u001b[1;36m20\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, SO = \u001b[1;36m2\u001b[0m. \u001b[1;36m20\u001b[0m, BA = .\u001b[1;36m273\u001b[0m. \u001b[1;36m20\u001b[0m, OBP = .\u001b[1;36m273\u001b[0m. \u001b[1;36m20\u001b[0m,\n", "SLG = .\u001b[1;36m636\u001b[0m. \u001b[1;36m20\u001b[0m, OPS = .\u001b[1;36m909\u001b[0m. \u001b[1;36m20\u001b[0m, OPS+ = \u001b[1;36m141\u001b[0m. \u001b[1;36m20\u001b[0m, rOBA = .\u001b[1;36m387\u001b[0m. \u001b[1;36m20\u001b[0m, Rbat+ = \u001b[1;36m134\u001b[0m. \u001b[1;36m20\u001b[0m, TB = \u001b[1;36m7\u001b[0m. \u001b[1;36m20\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, HBP = \n", "\u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m20\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95m2H.\u001b[0m \u001b[1;36m20\u001b[0m, Awards = . \u001b[1;36m21\u001b[0m, Player = Dave Bergman*. \u001b[1;36m21\u001b[0m, Age = \u001b[1;36m24\u001b[0m. \u001b[1;36m21\u001b[0m,\n", "Pos = UT. \u001b[1;36m21\u001b[0m, WAR = \u001b[1;36m-0.1\u001b[0m. \u001b[1;36m21\u001b[0m, G = \u001b[1;36m5\u001b[0m. \u001b[1;36m21\u001b[0m, PA = \u001b[1;36m5\u001b[0m. \u001b[1;36m21\u001b[0m, AB = \u001b[1;36m4\u001b[0m. \u001b[1;36m21\u001b[0m, R = \u001b[1;36m1\u001b[0m. \u001b[1;36m21\u001b[0m, H = \u001b[1;36m1\u001b[0m. \u001b[1;36m21\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, HR =\n", "\u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, RBI = \u001b[1;36m1\u001b[0m. \u001b[1;36m21\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, SO = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, BA = .\u001b[1;36m250\u001b[0m. \u001b[1;36m21\u001b[0m, OBP = .\u001b[1;36m200\u001b[0m. \u001b[1;36m21\u001b[0m, SLG = .\u001b[1;36m250\u001b[0m. \u001b[1;36m21\u001b[0m, \n", "OPS = .\u001b[1;36m450\u001b[0m. \u001b[1;36m21\u001b[0m, OPS+ = \u001b[1;36m23\u001b[0m. \u001b[1;36m21\u001b[0m, rOBA = .\u001b[1;36m182\u001b[0m. \u001b[1;36m21\u001b[0m, Rbat+ = \u001b[1;36m-10\u001b[0m. \u001b[1;36m21\u001b[0m, TB = \u001b[1;36m1\u001b[0m. \u001b[1;36m21\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m,\n", "SF = \u001b[1;36m1\u001b[0m. \u001b[1;36m21\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m21\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95m3H789.\u001b[0m \u001b[1;36m21\u001b[0m, Awards = . \u001b[1;36m22\u001b[0m, Player = Gene Locklear*. \u001b[1;36m22\u001b[0m, Age = \u001b[1;36m27\u001b[0m. \u001b[1;36m22\u001b[0m, Pos = LF. \u001b[1;36m22\u001b[0m, \n", "WAR = \u001b[1;36m0.0\u001b[0m. \u001b[1;36m22\u001b[0m, G = \u001b[1;36m1\u001b[0m. \u001b[1;36m22\u001b[0m, PA = \u001b[1;36m5\u001b[0m. \u001b[1;36m22\u001b[0m, AB = \u001b[1;36m5\u001b[0m. \u001b[1;36m22\u001b[0m, R = \u001b[1;36m1\u001b[0m. \u001b[1;36m22\u001b[0m, H = \u001b[1;36m3\u001b[0m. \u001b[1;36m22\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m22\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m22\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m22\u001b[0m, RBI = \n", "\u001b[1;36m2\u001b[0m. \u001b[1;36m22\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m22\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m22\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m22\u001b[0m, SO = \u001b[1;36m0\u001b[0m. \u001b[1;36m22\u001b[0m, BA = .\u001b[1;36m600\u001b[0m. \u001b[1;36m22\u001b[0m, OBP = .\u001b[1;36m600\u001b[0m. \u001b[1;36m22\u001b[0m, SLG = .\u001b[1;36m600\u001b[0m. \u001b[1;36m22\u001b[0m, OPS = \u001b[1;36m1.200\u001b[0m. \n", "\u001b[1;36m22\u001b[0m, OPS+ = \u001b[1;36m231\u001b[0m. \u001b[1;36m22\u001b[0m, rOBA = .\u001b[1;36m546\u001b[0m. \u001b[1;36m22\u001b[0m, Rbat+ = \u001b[1;36m245\u001b[0m. \u001b[1;36m22\u001b[0m, TB = \u001b[1;36m3\u001b[0m. \u001b[1;36m22\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m22\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m22\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m22\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m22\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m22\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95m7.\u001b[0m \u001b[1;36m22\u001b[0m, Awards = . \u001b[1;36m23\u001b[0m, Player = Marty Perez. \u001b[1;36m23\u001b[0m, Age = \u001b[1;36m31\u001b[0m. \u001b[1;36m23\u001b[0m, Pos = 3B. \u001b[1;36m23\u001b[0m, WAR = \u001b[1;36m0.0\u001b[0m. \u001b[1;36m23\u001b[0m, \n", "G = \u001b[1;36m1\u001b[0m. \u001b[1;36m23\u001b[0m, PA = \u001b[1;36m4\u001b[0m. \u001b[1;36m23\u001b[0m, AB = \u001b[1;36m4\u001b[0m. \u001b[1;36m23\u001b[0m, R = \u001b[1;36m0\u001b[0m. \u001b[1;36m23\u001b[0m, H = \u001b[1;36m2\u001b[0m. \u001b[1;36m23\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m23\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m23\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m23\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m23\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m23\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m23\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m23\u001b[0m, SO = \u001b[1;36m1\u001b[0m. \u001b[1;36m23\u001b[0m, BA = .\u001b[1;36m500\u001b[0m. \u001b[1;36m23\u001b[0m, OBP = .\u001b[1;36m500\u001b[0m. \u001b[1;36m23\u001b[0m, SLG = .\u001b[1;36m500\u001b[0m. \u001b[1;36m23\u001b[0m, OPS = \u001b[1;36m1.000\u001b[0m. \u001b[1;36m23\u001b[0m, OPS+ = \u001b[1;36m176\u001b[0m.\n", "\u001b[1;36m23\u001b[0m, rOBA = .\u001b[1;36m455\u001b[0m. \u001b[1;36m23\u001b[0m, Rbat+ = \u001b[1;36m183\u001b[0m. \u001b[1;36m23\u001b[0m, TB = \u001b[1;36m2\u001b[0m. \u001b[1;36m23\u001b[0m, GIDP = \u001b[1;36m1\u001b[0m. \u001b[1;36m23\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m23\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m23\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m23\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m23\u001b[0m, \n", "Pos = \u001b[35m/\u001b[0m\u001b[95m5.\u001b[0m \u001b[1;36m23\u001b[0m, Awards = . Rk, Player = Player. Rk, Age = Age. Rk, Pos = Pos. Rk, WAR = WAR. Rk, G = G. Rk, PA = PA. \n", "Rk, AB = AB. Rk, R = R. Rk, H = H. Rk, 2B = 2B. Rk, 3B = 3B. Rk, HR = HR. Rk, RBI = RBI. Rk, SB = SB. Rk, CS = CS. \n", "Rk, BB = BB. Rk, SO = SO. Rk, BA = BA. Rk, OBP = OBP. Rk, SLG = SLG. Rk, OPS = OPS. Rk, OPS+ = OPS+. Rk, rOBA = \n", "rOBA. Rk, Rbat+ = Rbat+. Rk, TB = TB. Rk, GIDP = GIDP. Rk, HBP = HBP. Rk, SH = SH. Rk, SF = SF. Rk, IBB = IBB. Rk, \n", "Pos = Pos. Rk, Awards = Awards. \u001b[1;36m24\u001b[0m, Player = Larry McCall*. \u001b[1;36m24\u001b[0m, Age = \u001b[1;36m24\u001b[0m. \u001b[1;36m24\u001b[0m, Pos = P. \u001b[1;36m24\u001b[0m, WAR = \u001b[1;36m0.0\u001b[0m. \u001b[1;36m24\u001b[0m, G = \u001b[1;36m1\u001b[0m. \n", "\u001b[1;36m24\u001b[0m, PA = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, AB = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, R = \u001b[1;36m1\u001b[0m. \u001b[1;36m24\u001b[0m, H = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, CS =\n", "\u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, SO = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, BA = . \u001b[1;36m24\u001b[0m, OBP = . \u001b[1;36m24\u001b[0m, SLG = . \u001b[1;36m24\u001b[0m, OPS = . \u001b[1;36m24\u001b[0m, OPS+ = . \u001b[1;36m24\u001b[0m, rOBA = . \u001b[1;36m24\u001b[0m, Rbat+ = . \n", "\u001b[1;36m24\u001b[0m, TB = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m24\u001b[0m, Pos = \u001b[35m/\u001b[0m\u001b[95m1H.\u001b[0m \u001b[1;36m24\u001b[0m, Awards = . \u001b[1;36m25\u001b[0m, \n", "Player = Sparky Lyle*. \u001b[1;36m25\u001b[0m, Age = \u001b[1;36m32\u001b[0m. \u001b[1;36m25\u001b[0m, Pos = P. \u001b[1;36m25\u001b[0m, WAR = \u001b[1;36m0.0\u001b[0m. \u001b[1;36m25\u001b[0m, G = \u001b[1;36m1\u001b[0m. \u001b[1;36m25\u001b[0m, PA = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, AB = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, R = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, \n", "H = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, SO = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, BA = . \n", "\u001b[1;36m25\u001b[0m, OBP = . \u001b[1;36m25\u001b[0m, SLG = . \u001b[1;36m25\u001b[0m, OPS = . \u001b[1;36m25\u001b[0m, OPS+ = . \u001b[1;36m25\u001b[0m, rOBA = . \u001b[1;36m25\u001b[0m, Rbat+ = . \u001b[1;36m25\u001b[0m, TB = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m25\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, IBB = \u001b[1;36m0\u001b[0m. \u001b[1;36m25\u001b[0m, Pos = \u001b[1;36m1\u001b[0m. \u001b[1;36m25\u001b[0m, Awards = AS,CYA-\u001b[1;36m1\u001b[0m,MVP-\u001b[1;36m6\u001b[0m. \u001b[1;36m26\u001b[0m, Player = Ron Guidry*. \u001b[1;36m26\u001b[0m, Age = \n", "\u001b[1;36m26\u001b[0m. \u001b[1;36m26\u001b[0m, Pos = P. \u001b[1;36m26\u001b[0m, WAR = \u001b[1;36m0.0\u001b[0m. \u001b[1;36m26\u001b[0m, G = \u001b[1;36m5\u001b[0m. \u001b[1;36m26\u001b[0m, PA = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, AB = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, R = \u001b[1;36m3\u001b[0m. \u001b[1;36m26\u001b[0m, H = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, 2B = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, 3B = \u001b[1;36m0\u001b[0m. \n", "\u001b[1;36m26\u001b[0m, HR = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, RBI = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, SB = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, CS = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, BB = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, SO = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, BA = . \u001b[1;36m26\u001b[0m, OBP = . \u001b[1;36m26\u001b[0m, SLG = . \u001b[1;36m26\u001b[0m, OPS\n", "= . \u001b[1;36m26\u001b[0m, OPS+ = . \u001b[1;36m26\u001b[0m, rOBA = . \u001b[1;36m26\u001b[0m, Rbat+ = . \u001b[1;36m26\u001b[0m, TB = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, GIDP = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, HBP = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, SH = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, SF = \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, IBB \n", "= \u001b[1;36m0\u001b[0m. \u001b[1;36m26\u001b[0m, Pos = \u001b[1;36m1\u001b[0m/H. \u001b[1;36m26\u001b[0m, Awards = CYA-\u001b[1;36m7\u001b[0m,MVP-\u001b[1;36m18\u001b[0m. , Player = Team Totals. , Age = . , Pos = . , WAR = \u001b[1;36m37.7\u001b[0m. , G = \u001b[1;36m162\u001b[0m.\n", ", PA = \u001b[1;36m6261\u001b[0m. , AB = \u001b[1;36m5605\u001b[0m. , R = \u001b[1;36m831\u001b[0m. , H = \u001b[1;36m1576\u001b[0m. , 2B = \u001b[1;36m267\u001b[0m. , 3B = \u001b[1;36m47\u001b[0m. , HR = \u001b[1;36m184\u001b[0m. , RBI = \u001b[1;36m784\u001b[0m. , SB = \u001b[1;36m93\u001b[0m. , CS = \n", "\u001b[1;36m57\u001b[0m. , BB = \u001b[1;36m533\u001b[0m. , SO = \u001b[1;36m681\u001b[0m. , BA = .\u001b[1;36m281\u001b[0m. , OBP = .\u001b[1;36m344\u001b[0m. , SLG = .\u001b[1;36m444\u001b[0m. , OPS = .\u001b[1;36m788\u001b[0m. , OPS+ = \u001b[1;36m115\u001b[0m. , rOBA = .\u001b[1;36m359\u001b[0m. , \n", "Rbat+ = \u001b[1;36m115\u001b[0m. , TB = \u001b[1;36m2489\u001b[0m. , GIDP = \u001b[1;36m117\u001b[0m. , HBP = \u001b[1;36m28\u001b[0m. , SH = \u001b[1;36m46\u001b[0m. , SF = \u001b[1;36m48\u001b[0m. , IBB = \u001b[1;36m49\u001b[0m. , Pos = . , Awards = . , \n", "Player = Non-Pitcher Totals. , Age = . , Pos = . , WAR = \u001b[1;36m37.7\u001b[0m. , G = . , PA = \u001b[1;36m6261\u001b[0m. , AB = \u001b[1;36m5605\u001b[0m. , R = \u001b[1;36m827\u001b[0m. , H = \n", "\u001b[1;36m1576\u001b[0m. , 2B = \u001b[1;36m267\u001b[0m. , 3B = \u001b[1;36m47\u001b[0m. , HR = \u001b[1;36m184\u001b[0m. , RBI = \u001b[1;36m784\u001b[0m. , SB = \u001b[1;36m93\u001b[0m. , CS = \u001b[1;36m57\u001b[0m. , BB = \u001b[1;36m533\u001b[0m. , SO = \u001b[1;36m681\u001b[0m. , BA = .\u001b[1;36m281\u001b[0m. , \n", "OBP = .\u001b[1;36m344\u001b[0m. , SLG = .\u001b[1;36m444\u001b[0m. , OPS = .\u001b[1;36m788\u001b[0m. , OPS+ = \u001b[1;36m115\u001b[0m. , rOBA = .\u001b[1;36m359\u001b[0m. , Rbat+ = \u001b[1;36m115\u001b[0m. , TB = \u001b[1;36m2489\u001b[0m. , GIDP = \u001b[1;36m117\u001b[0m. , \n", "HBP = \u001b[1;36m28\u001b[0m. , SH = \u001b[1;36m46\u001b[0m. , SF = \u001b[1;36m48\u001b[0m. , IBB = \u001b[1;36m49\u001b[0m. , Pos = . , Awards = . , Player = Pitcher Totals. , Age = . , Pos = . ,\n", "WAR = \u001b[1;36m0.0\u001b[0m. , G = . , PA = \u001b[1;36m0\u001b[0m. , AB = \u001b[1;36m0\u001b[0m. , R = \u001b[1;36m4\u001b[0m. , H = \u001b[1;36m0\u001b[0m. , 2B = \u001b[1;36m0\u001b[0m. , 3B = \u001b[1;36m0\u001b[0m. , HR = \u001b[1;36m0\u001b[0m. , RBI = \u001b[1;36m0\u001b[0m. , SB = \u001b[1;36m0\u001b[0m. , CS = \n", "\u001b[1;36m0\u001b[0m. , BB = \u001b[1;36m0\u001b[0m. , SO = \u001b[1;36m0\u001b[0m. , BA = . , OBP = . , SLG = . , OPS = . , OPS+ = . , rOBA = . , Rbat+ = . , TB = \u001b[1;36m0\u001b[0m. , GIDP = \n", "\u001b[1;36m0\u001b[0m. , HBP = \u001b[1;36m0\u001b[0m. , SH = \u001b[1;36m0\u001b[0m. , SF = \u001b[1;36m0\u001b[0m. , IBB = \u001b[1;36m0\u001b[0m. , Pos = . , Awards = \n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Standard Batting\n", "✨✨\n", "\n", "\u001b[1;36m1977\u001b[0m\n", "New York Yankees\n", "Statistics\n", "Standard Batting\n", "✨✨\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 4: Duration 5.98 seconds| Input tokens: 14,534 | Output tokens: 170]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 4: Duration 5.98 seconds| Input tokens: 14,534 | Output tokens: 170]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m5\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "ChatCompletion(id='chatcmpl-BYgL2i6a79zSFEPgXFzpjRbkSObps', choices=[Choice(finish_reason='tool_calls', index=0,   \n",
       "logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', annotations=[],         \n",
       "audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_M8nvCUzLIpB8PBT2WACJy6Rp',      \n",
       "function=Function(arguments='{\"answer\":\"The Yankee with the most walks in the 1977 regular season was Roy White,   \n",
       "who had 75 walks. That same season, Roy White had 519 at bats.\"}', name='final_answer'), type='function')]))],     \n",
       "created=1747605600, model='gpt-4.1-2025-04-14', object='chat.completion', service_tier='default',                  \n",
       "system_fingerprint='fp_a1102cf978', usage=CompletionUsage(completion_tokens=48, prompt_tokens=26412,               \n",
       "total_tokens=26460, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0,\n",
       "reasoning_tokens=0, rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0,       \n",
       "cached_tokens=5120)))                                                                                              \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mChatCompletion(id='chatcmpl-BYgL2i6a79zSFEPgXFzpjRbkSObps',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchoices=[Choice(finish_reason='tool_calls',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mindex=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mlogprobs=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmessage=ChatCompletionMessage(content=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrefusal=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrole='assistant',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mannotations=[],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23maudio=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfunction_call=None,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtool_calls=[ChatCompletionMessageToolCall(id='call_M8nvCUzLIpB8PBT2WACJy6Rp',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfunction=Function(arguments='{\"answer\":\"The\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mYankee\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwith\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmost\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwalks\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23min\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m1977\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mregular\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mseason\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwas\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mRoy\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mWhite,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mwho\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mhad\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m75\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwalks.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mThat\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msame\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mseason,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mRoy\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mWhite\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mhad\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m519\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mat\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mbats.\"}',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mname='final_answer'),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtype='function')]))],\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcreated=1747605600,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmodel='gpt-4.1-2025-04-14',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mobject='chat.completion',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mservice_tier='default',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23msystem_fingerprint='fp_a1102cf978',\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23musage=CompletionUsage(completion_tokens=48,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens=26412,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mtotal_tokens=26460,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcompletion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23maudio_tokens=0,\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mreasoning_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrejected_prediction_tokens=0),\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mprompt_tokens_details=PromptTokensDetails(audio_tokens=0,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcached_tokens=5120)))\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling tool: 'final_answer' with arguments: {'answer': 'The Yankee with the most walks in the 1977 regular     │\n",
       "│ season was Roy White, who had 75 walks. That same season, Roy White had 519 at bats.'}                          │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling tool: 'final_answer' with arguments: {'answer': 'The Yankee with the most walks in the 1977 regular │\n", "│ season was Roy White, who had 75 walks. That same season, Roy White had 519 at bats.'} │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Final answer: The Yankee with the most walks in the 1977 regular season was Roy White, who had 75 walks. That same \n",
       "season, Roy White had 519 at bats.\n",
       "
\n" ], "text/plain": [ "\u001b[1;38;2;212;183;2mFinal answer: The Yankee with the most walks in the 1977 regular season was Roy White, who had 75 walks. That same \u001b[0m\n", "\u001b[1;38;2;212;183;2mseason, Roy White had 519 at bats.\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 5: Duration 2.77 seconds| Input tokens: 40,946 | Output tokens: 218]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 5: Duration 2.77 seconds| Input tokens: 40,946 | Output tokens: 218]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
GAIA final answer: 519\n",
       "
\n" ], "text/plain": [ "\u001b[1;38;2;212;183;2mGAIA final answer: 519\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# gaia.invoke({\n", "# \"task_id\": \"8e867cd7-cff9-4e6c-867a-ff5ddc2550be\",\n", "# \"question\": \"How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of english wikipedia.\"\n", "# });\n", "gaia.invoke(\n", " {\n", " \"task_id\": \"3f57289b-8c60-48be-bd80-01f8099ca449\",\n", " \"question\": \"How many at bats did the Yankee with the most walks in the 1977 regular season have that same season?\",\n", " }\n", ");" ] }, { "cell_type": "markdown", "id": "bfc4f1a8", "metadata": {}, "source": [ "### Chess Problem" ] }, { "cell_type": "code", "execution_count": null, "id": "a4d173f0", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
╭──────────────────────── New run - Final Assignment Agent for Hugging Face Agents Course ────────────────────────╮\n",
       "│                                                                                                                 │\n",
       "│ Review the chess position provided in the image. It is black's turn. Provide the correct next move for black    │\n",
       "│ which guarantees a win. Please provide your response in algebraic notation.                                     │\n",
       "│                                                                                                                 │\n",
       "╰─ LangGraph with ChatOpenAI - gpt-4.1 ───────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run - Final Assignment Agent for Hugging Face Agents Course\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mReview the chess position provided in the image. It is black's turn. Provide the correct next move for black \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mwhich guarantees a win. Please provide your response in algebraic notation.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m LangGraph with ChatOpenAI - gpt-4.1 \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Agent chess_player selected for solving the task.\n",
       "
\n" ], "text/plain": [ "Agent chess_player selected for solving the task.\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n",
       "│ Calling agent: chess_player.                                                                                    │\n",
       "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n", "│ Calling agent: chess_player. │\n", "╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
╭──────────────────────────────────────────── New run - chess_player ─────────────────────────────────────────────╮\n",
       "│                                                                                                                 │\n",
       "│ Review the chess position provided in the image. It is black's turn. Provide the correct next move for black    │\n",
       "│ which guarantees a win. Please provide your response in algebraic notation.                                     │\n",
       "│                                                                                                                 │\n",
       "╰─ OpenAIServerModel - gpt-4.1 ───────────────────────────────────────────────────────────────────────────────────╯\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run - chess_player\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mReview the chess position provided in the image. It is black's turn. Provide the correct next move for black \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mwhich guarantees a win. Please provide your response in algebraic notation.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m OpenAIServerModel - gpt-4.1 \u001b[0m\u001b[38;2;212;183;2m──────────────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "Thought: I first need to get the image of the chess position and retrieve its board state. Then, I will convert the\n",
       "image to FEN using the available tool. After that, I will feed the FEN position into a chess engine to get the     \n",
       "winning move for black. Let's start by obtaining the image's URL.                                                  \n",
       "                                                                                                                   \n",
       "Code:                                                                                                              \n",
       "```py                                                                                                              \n",
       "image_url = get_attachment(fmt=\"URL\")                                                                              \n",
       "print(image_url)                                                                                                   \n",
       "```<end_code>                                                                                                      \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mThought:\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfirst\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mneed\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mget\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mimage\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mof\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchess\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mposition\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mand\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mretrieve\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mits\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mboard\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mstate.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mThen,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwill\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mconvert\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mimage\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFEN\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23musing\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mavailable\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtool.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mAfter\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthat,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwill\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfeed\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFEN\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mposition\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23minto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23ma\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchess\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mengine\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mget\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mwinning\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmove\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfor\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mblack.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mLet's\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mstart\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mby\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mobtaining\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mimage's\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mURL.\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mCode:\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m```py\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mimage_url\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mget_attachment(fmt=\"URL\")\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mprint(image_url)\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m```\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
 ─ Executing parsed code: ──────────────────────────────────────────────────────────────────────────────────────── \n",
       "  image_url = get_attachment(fmt=\"URL\")                                                                            \n",
       "  print(image_url)                                                                                                 \n",
       " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
       "
\n" ], "text/plain": [ " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n", " \u001b[38;2;248;248;242;48;2;39;40;34mimage_url\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mget_attachment\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfmt\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mURL\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mimage_url\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Execution logs:\n",
       "https://agents-course-unit4-scoring.hf.space/files/cca530fc-4052-43b2-b130-b30968d8aa44\n",
       "\n",
       "Out: None\n",
       "
\n" ], "text/plain": [ "\u001b[1mExecution logs:\u001b[0m\n", "https://agents-course-unit4-scoring.hf.space/files/cca530fc-4052-43b2-b130-b30968d8aa44\n", "\n", "Out: None\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 1: Duration 2.02 seconds| Input tokens: 2,171 | Output tokens: 88]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 1: Duration 2.02 seconds| Input tokens: 2,171 | Output tokens: 88]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "Thought: Now that I have the image URL, I will use the `image_to_chess_board_fen` tool to convert this chessboard  \n",
       "image into the board-part FEN. This will help in reconstructing the position for the chess engine to analyze.      \n",
       "                                                                                                                   \n",
       "Code:                                                                                                              \n",
       "```py                                                                                                              \n",
       "fen =                                                                                                              \n",
       "image_to_chess_board_fen(image_url=\"https://agents-course-unit4-scoring.hf.space/files/cca530fc-4052-43b2-b130-b309\n",
       "68d8aa44\")                                                                                                         \n",
       "print(fen)                                                                                                         \n",
       "```<end_code>                                                                                                      \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mThought:\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mNow\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthat\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mhave\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mimage\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mURL,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwill\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23muse\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m`image_to_chess_board_fen`\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtool\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mconvert\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthis\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchessboard\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mimage\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23minto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mboard-part\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFEN.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mThis\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwill\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mhelp\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23min\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mreconstructing\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mposition\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfor\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchess\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mengine\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23manalyze.\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mCode:\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m```py\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfen\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mimage_to_chess_board_fen(image_url=\"https://agents-course-unit4-scoring.hf.space/files/cca530fc-4052-43b2-b130-b309\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m68d8aa44\")\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mprint(fen)\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m```\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
 ─ Executing parsed code: ──────────────────────────────────────────────────────────────────────────────────────── \n",
       "  fen =                                                                                                            \n",
       "  image_to_chess_board_fen(image_url=\"https://agents-course-unit4-scoring.hf.space/files/cca530fc-4052-43b2-b130-  \n",
       "  b30968d8aa44\")                                                                                                   \n",
       "  print(fen)                                                                                                       \n",
       " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
       "
\n" ], "text/plain": [ " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n", " \u001b[38;2;248;248;242;48;2;39;40;34mfen\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mimage_to_chess_board_fen\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mimage_url\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mhttps://agents-course-unit4-scoring.hf.space/files/cca530fc-4052-43b2-b130-\u001b[0m \n", " \u001b[38;2;230;219;116;48;2;39;40;34mb30968d8aa44\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mprint\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfen\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Execution logs:\n",
       "3r2k1/pp3pp1/4b2p/7Q/3n4/PqBBR2P/5PP1/6K1\n",
       "\n",
       "Out: None\n",
       "
\n" ], "text/plain": [ "\u001b[1mExecution logs:\u001b[0m\n", "3r2k1/pp3pp1/4b2p/7Q/3n4/PqBBR2P/5PP1/6K1\n", "\n", "Out: None\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 2: Duration 10.74 seconds| Input tokens: 4,533 | Output tokens: 199]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 2: Duration 10.74 seconds| Input tokens: 4,533 | Output tokens: 199]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
\n" ], "text/plain": [ "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "Thought: I now have the FEN for the board position: \"3r2k1/pp3pp1/4b2p/7Q/3n4/PqBBR2P/5PP1/6K1\". The task specifies\n",
       "that it is black's turn, but the FEN doesn't include move or castling information. For engine input, I need to     \n",
       "complete the FEN (add side to move and other fields). I'll assume no en passant and default castling status is     \n",
       "irrelevant to immediate tactics. Next, I'll invoke the chess engine to analyze the position and find the best move \n",
       "for black.                                                                                                         \n",
       "                                                                                                                   \n",
       "Code:                                                                                                              \n",
       "```py                                                                                                              \n",
       "import chess                                                                                                       \n",
       "import chess.engine                                                                                                \n",
       "                                                                                                                   \n",
       "# Compose full FEN: black to move, no castling, no en passant, 0 halfmove clock, 1 fullmove number                 \n",
       "full_fen = \"3r2k1/pp3pp1/4b2p/7Q/3n4/PqBBR2P/5PP1/6K1 b - - 0 1\"                                                   \n",
       "                                                                                                                   \n",
       "engine_path = chess_engine_locator()                                                                               \n",
       "board = chess.Board(full_fen)                                                                                      \n",
       "engine = chess.engine.SimpleEngine.popen_uci(engine_path)                                                          \n",
       "                                                                                                                   \n",
       "# Analysis for best move (guarantees win)                                                                          \n",
       "info = engine.analyse(board, chess.engine.Limit(depth=15))                                                         \n",
       "best_move = info[\"pv\"][0]                                                                                          \n",
       "algebraic_move = board.san(best_move)                                                                              \n",
       "                                                                                                                   \n",
       "engine.quit()                                                                                                      \n",
       "                                                                                                                   \n",
       "final_answer(algebraic_move)                                                                                       \n",
       "```<end_code>                                                                                                      \n",
       "
\n" ], "text/plain": [ "\u001b[1;3mOutput message of the LLM:\u001b[0m \u001b[38;2;212;183;2m────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mThought:\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mnow\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mhave\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFEN\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfor\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mboard\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mposition:\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"3r2k1/pp3pp1/4b2p/7Q/3n4/PqBBR2P/5PP1/6K1\".\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mThe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtask\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mspecifies\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mthat\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mit\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mis\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mblack's\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mturn,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mbut\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFEN\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdoesn't\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23minclude\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmove\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mor\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcastling\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23minformation.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFor\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mengine\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23minput,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mneed\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcomplete\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFEN\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m(add\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mside\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmove\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mand\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mother\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfields).\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI'll\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23massume\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mno\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23men\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mpassant\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mand\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdefault\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcastling\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mstatus\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mis\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mirrelevant\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mimmediate\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtactics.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mNext,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mI'll\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23minvoke\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchess\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mengine\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mto\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23manalyze\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mposition\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mand\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfind\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mbest\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmove\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfor\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mblack.\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mCode:\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m```py\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mimport\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchess\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mimport\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchess.engine\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[1;38;2;121;192;255;48;2;13;17;23m# Compose full FEN: black to move, no castling, no en passant, 0 halfmove clock, 1 fullmove number\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfull_fen\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m\"3r2k1/pp3pp1/4b2p/7Q/3n4/PqBBR2P/5PP1/6K1\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mb\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m-\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m-\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m0\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m1\"\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mengine_path\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchess_engine_locator()\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mboard\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchess.Board(full_fen)\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mengine\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchess.engine.SimpleEngine.popen_uci(engine_path)\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[1;38;2;121;192;255;48;2;13;17;23m# Analysis for best move (guarantees win)\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23minfo\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mengine.analyse(board,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mchess.engine.Limit(depth=15))\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mbest_move\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23minfo[\"pv\"][0]\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23malgebraic_move\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m=\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mboard.san(best_move)\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mengine.quit()\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfinal_answer(algebraic_move)\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m```\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
 ─ Executing parsed code: ──────────────────────────────────────────────────────────────────────────────────────── \n",
       "  import chess                                                                                                     \n",
       "  import chess.engine                                                                                              \n",
       "                                                                                                                   \n",
       "  # Compose full FEN: black to move, no castling, no en passant, 0 halfmove clock, 1 fullmove number               \n",
       "  full_fen = \"3r2k1/pp3pp1/4b2p/7Q/3n4/PqBBR2P/5PP1/6K1 b - - 0 1\"                                                 \n",
       "                                                                                                                   \n",
       "  engine_path = chess_engine_locator()                                                                             \n",
       "  board = chess.Board(full_fen)                                                                                    \n",
       "  engine = chess.engine.SimpleEngine.popen_uci(engine_path)                                                        \n",
       "                                                                                                                   \n",
       "  # Analysis for best move (guarantees win)                                                                        \n",
       "  info = engine.analyse(board, chess.engine.Limit(depth=15))                                                       \n",
       "  best_move = info[\"pv\"][0]                                                                                        \n",
       "  algebraic_move = board.san(best_move)                                                                            \n",
       "                                                                                                                   \n",
       "  engine.quit()                                                                                                    \n",
       "                                                                                                                   \n",
       "  final_answer(algebraic_move)                                                                                     \n",
       " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
       "
\n" ], "text/plain": [ " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n", " \u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mchess\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;255;70;137;48;2;39;40;34mimport\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mchess\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mengine\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;149;144;119;48;2;39;40;34m# Compose full FEN: black to move, no castling, no en passant, 0 halfmove clock, 1 fullmove number\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mfull_fen\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m3r2k1/pp3pp1/4b2p/7Q/3n4/PqBBR2P/5PP1/6K1 b - - 0 1\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mengine_path\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mchess_engine_locator\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mboard\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mchess\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mBoard\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mfull_fen\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mengine\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mchess\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mengine\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mSimpleEngine\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mpopen_uci\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mengine_path\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;149;144;119;48;2;39;40;34m# Analysis for best move (guarantees win)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34minfo\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mengine\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34manalyse\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mboard\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mchess\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mengine\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mLimit\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mdepth\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m15\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mbest_move\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34minfo\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mpv\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m[\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m0\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m]\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34malgebraic_move\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mboard\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34msan\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mbest_move\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mengine\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m.\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34mquit\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mfinal_answer\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m(\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34malgebraic_move\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Out - Final answer: Rd5\n",
       "
\n" ], "text/plain": [ "\u001b[1;38;2;212;183;2mOut - Final answer: Rd5\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 3: Duration 4.40 seconds| Input tokens: 7,149 | Output tokens: 507]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 3: Duration 4.40 seconds| Input tokens: 7,149 | Output tokens: 507]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
GAIA final answer: Rd5\n",
       "
\n" ], "text/plain": [ "\u001b[1;38;2;212;183;2mGAIA final answer: Rd5\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gaia.invoke(\n", " {\n", " \"task_id\": \"cca530fc-4052-43b2-b130-b30968d8aa44\",\n", " \"question\": \"Review the chess position provided in the image. It is black's turn. Provide the correct next move for black which guarantees a win. Please provide your response in algebraic notation.\",\n", " }\n", ");" ] }, { "cell_type": "markdown", "id": "2f819c2e", "metadata": {}, "source": [ "## Errors Correction" ] }, { "cell_type": "code", "execution_count": null, "id": "9b83cc7c", "metadata": {}, "outputs": [], "source": [ "# gaia.invoke({\n", "# \"task_id\": \"6f37996b-2ac7-44b0-8e68-6d28256631b4\", # refinement overrides correct answer\n", "# \"question\": \"\"\"\\\n", "# Given this table defining * on the set S = {a, b, c, d, e}\n", "\n", "# |*|a|b|c|d|e|\n", "# |---|---|---|---|---|---|\n", "# |a|a|b|c|b|d|\n", "# |b|b|c|a|e|c|\n", "# |c|c|a|b|b|a|\n", "# |d|b|e|b|e|d|\n", "# |e|d|b|a|d|c|\n", "\n", "# provide the subset of S involved in any possible counter-examples that prove * is not commutative. Provide your answer as a comma separated list of the elements in the set in alphabetical order.\n", "# \"\"\"\n", "# });\n", "\n", "# gaia.invoke({ # Refinement tend to override to Bartek\n", "# \"task_id\": \"305ac316-eef6-4446-960a-92d80d542f82\",\n", "# \"question\": \"Who did the actor who played Ray in the Polish-language version of Everybody Loves Raymond play in Magda M.? Give only the first name.\"\n", "# });\n", "\n", "# gaia.invoke({ # Capitalized first list item\n", "# \"task_id\": \"99c9cc74-fdc8-46c6-8f8d-3ce2d3bfeea3\",\n", "# \"question\": \"\"\"\\\n", "# Hi, I'm making a pie but I could use some help with my shopping list. I have everything I need for the crust, but I'm not sure about the filling. I got the recipe from my friend Aditi, but she left it as a voice memo and the speaker on my phone is buzzing so I can't quite make out what she's saying. Could you please listen to the recipe and list all of the ingredients that my friend described? I only want the ingredients for the filling, as I have everything I need to make my favorite pie crust. I've attached the recipe as Strawberry pie.mp3.\n", "# In your response, please only list the ingredients, not any measurements. So if the recipe calls for \"a pinch of salt\" or \"two cups of ripe strawberries\" the ingredients on the list would be \"salt\" and \"ripe strawberries\".\n", "# Please format your response as a comma separated list of ingredients. Also, please alphabetize the ingredients.\n", "# \"\"\"\n", "# });\n", "\n", "# gaia.invoke(\n", "# { # Lost list item during refinement and capitalized first list item\n", "# \"task_id\": \"3cef3a44-215e-4aed-8e3b-b1e3f08063b7\",\n", "# \"question\": \"\"\"\\\n", "# I'm making a grocery list for my mom, but she's a professor of botany and she's a real stickler when it comes to categorizing things. I need to add different foods to different categories on the grocery list, but if I make a mistake, she won't buy anything inserted in the wrong category. Here's the list I have so far:\n", "# milk, eggs, flour, whole bean coffee, Oreos, sweet potatoes, fresh basil, plums, green beans, rice, corn, bell pepper, whole allspice, acorns, broccoli, celery, zucchini, lettuce, peanuts\n", "# I need to make headings for the fruits and vegetables. Could you please create a list of just the vegetables from my list? If you could do that, then I can figure out how to categorize the rest of the list into the appropriate categories. But remember that my mom is a real stickler, so make sure that no botanical fruits end up on the vegetable list, or she won't get them when she's at the store. Please alphabetize the list of vegetables, and place each item in a comma separated list.\n", "# \"\"\",\n", "# }\n", "# );\n", "\n", "# gaia.invoke(\n", "# { # Wrong agent selected\n", "# \"task_id\": \"5a0c1adf-205e-4841-a666-7c3ef95def9d\",\n", "# \"question\": \"What is the first name of the only Malko Competition recipient from the 20th Century (after 1977) whose nationality on record is a country that no longer exists?\",\n", "# }\n", "# );\n", "\n", "# gaia.invoke(\n", "# { # Is it invalid ground truth in benchmark?\n", "# \"task_id\": \"a0c07678-e491-4bbc-8f0b-07405144218f\",\n", "# \"question\": \"\"\"\\\n", "# Who are the pitchers with the number before and after Taish\\u014D Tamai's number as of July 2023?\n", "# Give them to me in the form Pitcher Before, Pitcher\n", "# After, use their last names only, in Roman characters.\n", "# \"\"\",\n", "# }\n", "# );\n" ] } ], "metadata": { "kernelspec": { "display_name": ".venv (3.13.3)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.3" } }, "nbformat": 4, "nbformat_minor": 5 }