{ "cells": [ { "cell_type": "code", "execution_count": 79, "id": "d1b4016c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The autoreload extension is already loaded. To reload it, use:\n", " %reload_ext autoreload\n" ] } ], "source": [ "%load_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "markdown", "id": "d7a4f6bd", "metadata": {}, "source": [ "# Tools" ] }, { "cell_type": "markdown", "id": "5e30b23a", "metadata": {}, "source": [ "## Wikipedia Tools" ] }, { "cell_type": "code", "execution_count": 4, "id": "9cf0738b", "metadata": {}, "outputs": [], "source": [ "import re\n", "import requests\n", "from bs4 import BeautifulSoup, NavigableString, Tag\n", "from markdownify import markdownify as md\n", "from smolagents import tool\n", "\n", "@tool\n", "def get_wikipedia_markdown(\n", " title: str,\n", " lang: str = 'en',\n", " ignore_references: bool = True,\n", " ignore_links: bool = False\n", ") -> str:\n", " \"\"\"\n", " Fetches the main content of a Wikipedia page and returns it as Markdown.\n", " \n", " Args:\n", " title (str): Title of the Wikipedia page (e.g., \"Python_(programming_language)\").\n", " lang (str): Language code for the Wikipedia version (default 'en' for English).\n", " ignore_references (bool): If True, drop the \"References\" section entirely.\n", " ignore_links (bool): If True, strip out all tags and keep only link text.\n", " \n", " Returns:\n", " str: The Markdown representation of the page's main content.\n", " \"\"\"\n", " # 1. Fetch the raw HTML of the Wikipedia page\n", " url = f\"https://{lang}.wikipedia.org/wiki/{title}\"\n", " response = requests.get(url)\n", " response.raise_for_status() # :contentReference[oaicite:6]{index=6}\n", " html = response.text\n", "\n", " # 2. Parse with BeautifulSoup and isolate the div that holds article text\n", " soup = BeautifulSoup(html, \"lxml\")\n", " content_div = soup.find(\"div\", class_=\"mw-parser-output\") # :contentReference[oaicite:7]{index=7}\n", " if content_div is None:\n", " raise ValueError(f\"Could not find main content for page '{title}'\")\n", "\n", " # 3. Remove unwanted elements: infoboxes, toc, navboxes, thumbnails, metadata, and images\n", " # a) Infoboxes (sidebars)\n", " for infobox in content_div.find_all(\"table\", class_=re.compile(r\"infobox\")):\n", " infobox.decompose() # :contentReference[oaicite:8]{index=8}\n", "\n", " # b) Table of Contents\n", " toc = content_div.find(\"div\", id=\"toc\")\n", " if toc:\n", " toc.decompose() # :contentReference[oaicite:9]{index=9}\n", "\n", " # c) Navigation boxes and other Wikipedia templates\n", " for nav in content_div.find_all([\"div\", \"table\"], class_=re.compile(r\"navbox|vertical-navbox|metadata\")):\n", " nav.decompose() # :contentReference[oaicite:10]{index=10}\n", "\n", " # d) Thumbnails / image wrappers\n", " for thumb in content_div.find_all(\"div\", class_=re.compile(r\"thumb\")):\n", " thumb.decompose() # :contentReference[oaicite:11]{index=11}\n", "\n", " # e) Remove any raw tags\n", " for img in content_div.find_all(\"img\"):\n", " img.decompose() # :contentReference[oaicite:12]{index=12}\n", "\n", " # Helper to convert a BeautifulSoup to markdown\n", " def table_to_markdown(table_tag: Tag) -> str:\n", " \"\"\"\n", " Converts a
tag into a Markdown-formatted table, preserving headers.\n", " \"\"\"\n", " # Extract header names (if any)\n", " headers = []\n", " header_row = table_tag.find(\"tr\")\n", " if header_row:\n", " for th in header_row.find_all([\"th\"]):\n", " headers.append(th.get_text(strip=True))\n", " # Build header line\n", " md_table = \"\"\n", " if headers:\n", " md_table += \"| \" + \" | \".join(headers) + \" |\\n\"\n", " md_table += \"| \" + \" | \".join(\"---\" for _ in headers) + \" |\\n\"\n", " \n", " # Extract all data rows\n", " for row in table_tag.find_all(\"tr\")[1:]:\n", " cells = row.find_all([\"td\", \"th\"])\n", " if not cells:\n", " continue\n", " row_texts = [cell.get_text(strip=True) for cell in cells]\n", " md_table += \"| \" + \" | \".join(row_texts) + \" |\\n\"\n", " \n", " return md_table.rstrip()\n", "\n", " # 4. Convert each content table (e.g., wikitable, sortable) into Markdown and replace in-place\n", " for table in content_div.find_all(\"table\"):\n", " # Skip any tables that were already removed (infobox, nav, etc.)\n", " if \"infobox\" in table.get(\"class\", []) or table.get(\"role\") == \"navigation\":\n", " continue\n", " # Convert & replace\n", " markdown_table = table_to_markdown(table) # :contentReference[oaicite:13]{index=13}\n", " new_node = soup.new_string(\"\\n\\n\" + markdown_table + \"\\n\\n\")\n", " table.replace_with(new_node)\n", "\n", " # 5. Handle ignoring the References section if requested\n", " if ignore_references:\n", " # Find the heading that marks \"References\"\n", " ref_heading = None\n", " for span in content_div.find_all(\"span\", class_=\"mw-headline\"):\n", " if span.get_text(strip=True).lower() == \"references\":\n", " ref_heading = span.parent # Usually the

or

containing the \n", " break\n", " if ref_heading:\n", " # Remove the heading itself\n", " ref_heading.decompose()\n", " # Remove everything until the next same-level section\n", " for sibling in list(ref_heading.find_next_siblings()):\n", " # Stop if we reach another h2/h3 (i.e., new top-level section)\n", " if sibling.name and re.match(r\"h[2-3]\", sibling.name):\n", " break\n", " sibling.decompose() # :contentReference[oaicite:14]{index=14}\n", "\n", " # 6. Convert remaining HTML in content_div to Markdown\n", " # a) If ignoring links: strip tags entirely\n", " markdown_options = {}\n", " if ignore_links:\n", " markdown_options[\"strip\"] = [\"a\"] # :contentReference[oaicite:15]{index=15}\n", " # b) Otherwise, let markdownify convert to [text](URL)\n", " # We ensure that it does not convert other tags we might still have\n", " raw_html = \"\".join(str(child) for child in content_div.children)\n", "\n", " # Final Markdown conversion\n", " markdown_text = md(raw_html, **markdown_options) # :contentReference[oaicite:16]{index=16}\n", "\n", " # Clean up possible multiple blank lines\n", " markdown_text = re.sub(r\"\\n{3,}\", \"\\n\\n\", markdown_text).strip()\n", "\n", " return markdown_text\n" ] }, { "cell_type": "code", "execution_count": null, "id": "4b7b287d", "metadata": {}, "outputs": [], "source": [ "import re\n", "import requests\n", "from bs4 import BeautifulSoup, Tag\n", "from markdownify import markdownify as md\n", "\n", "def get_wikipedia_markdown(\n", " title: str,\n", " lang: str = 'en',\n", " ignore_references: bool = True,\n", " ignore_links: bool = False\n", ") -> str:\n", " \"\"\"\n", " Fetches the main content of a Wikipedia page and returns it as Markdown.\n", " \n", " Args:\n", " title (str): Title of the Wikipedia page (e.g., \"Python_(programming_language)\").\n", " lang (str): Language code for the Wikipedia version (default 'en').\n", " ignore_references (bool): If True, drop the entire \"References\" section.\n", " ignore_links (bool): If True, strip out all tags entirely (only their inner text remains).\n", " \n", " Returns:\n", " str: The Markdown representation of the page's main content.\n", " \"\"\"\n", " # 1. Fetch raw HTML of the Wikipedia page\n", " url = f\"https://{lang}.wikipedia.org/wiki/{title}\"\n", " response = requests.get(url)\n", " response.raise_for_status() # :contentReference[oaicite:0]{index=0}\n", " html = response.text\n", "\n", " # 2. Parse with BeautifulSoup and isolate the div that holds article text\n", " soup = BeautifulSoup(html, \"lxml\")\n", " content_div = soup.find(\"div\", class_=\"mw-parser-output\") # :contentReference[oaicite:1]{index=1}\n", " if content_div is None:\n", " raise ValueError(f\"Could not find main content for page '{title}'\")\n", "\n", " # 2a. Remove all [edit] links by deleting nodes first\n", " for edit_span in content_div.find_all(\"span\", class_=\"mw-editsection\"):\n", " edit_span.decompose() # :contentReference[oaicite:2]{index=2}\n", "\n", " # 2b. Remove any superscripted footnote markers ()\n", " for sup in content_div.find_all(\"sup\", class_=\"reference\"):\n", " sup.decompose() # :contentReference[oaicite:3]{index=3}\n", "\n", " # 3. Remove unwanted elements: infoboxes, toc, navboxes, thumbnails, images\n", " # a) Infoboxes (sidebars)\n", " for infobox in content_div.find_all(\"table\", class_=re.compile(r\"infobox\")):\n", " infobox.decompose() # :contentReference[oaicite:4]{index=4}\n", "\n", " # b) Table of Contents\n", " toc = content_div.find(\"div\", id=\"toc\")\n", " if toc:\n", " toc.decompose() # :contentReference[oaicite:5]{index=5}\n", "\n", " # c) Navigation boxes and other Wikipedia templates\n", " for nav in content_div.find_all([\"div\", \"table\"], class_=re.compile(r\"navbox|vertical-navbox|metadata\")):\n", " nav.decompose() # :contentReference[oaicite:6]{index=6}\n", "\n", " # d) Thumbnails / image wrappers\n", " for thumb in content_div.find_all(\"div\", class_=re.compile(r\"thumb\")):\n", " thumb.decompose() # :contentReference[oaicite:7]{index=7}\n", "\n", " # e) Remove any raw tags\n", " for img in content_div.find_all(\"img\"):\n", " img.decompose() # :contentReference[oaicite:8]{index=8}\n", "\n", " # 4. Convert

tags to Markdown in-place\n", " def table_to_markdown(table_tag: Tag) -> str:\n", " \"\"\"\n", " Converts a
tag into a Markdown-formatted table, preserving headers if present.\n", " \"\"\"\n", " headers = []\n", " header_row = table_tag.find(\"tr\")\n", " if header_row:\n", " for th in header_row.find_all(\"th\"):\n", " headers.append(th.get_text(strip=True))\n", " md_table = \"\"\n", " if headers:\n", " md_table += \"| \" + \" | \".join(headers) + \" |\\n\"\n", " md_table += \"| \" + \" | \".join(\"---\" for _ in headers) + \" |\\n\"\n", " # Data rows\n", " for row in table_tag.find_all(\"tr\")[1:]:\n", " cells = row.find_all([\"td\", \"th\"])\n", " if not cells:\n", " continue\n", " row_texts = [cell.get_text(strip=True) for cell in cells]\n", " md_table += \"| \" + \" | \".join(row_texts) + \" |\\n\"\n", " return md_table.rstrip()\n", "\n", " for table in content_div.find_all(\"table\"):\n", " # Skip tables that were already removed or are infobox/navigation\n", " if \"infobox\" in table.get(\"class\", []) or table.get(\"role\") == \"navigation\":\n", " continue\n", " markdown_table = table_to_markdown(table) # :contentReference[oaicite:9]{index=9}\n", " new_node = soup.new_string(\"\\n\\n\" + markdown_table + \"\\n\\n\")\n", " table.replace_with(new_node)\n", "\n", " # 5. Handle ignoring the References section if requested\n", " if ignore_references:\n", " # 5a. Find the \"References\" heading (ignore case & trailing whitespace)\n", " ref_heading = None\n", " for span in content_div.find_all(\"span\", class_=\"mw-headline\"):\n", " heading_text = span.get_text(strip=True).lower()\n", " # After removing and , this will be exactly \"references\"\n", " if heading_text == \"references\":\n", " ref_heading = span.parent # the

or

containing the \n", " break\n", "\n", " if ref_heading:\n", " # 5b. Gather siblings until the next same-level heading without decomposing immediately\n", " siblings_to_remove = []\n", " for sibling in ref_heading.find_next_siblings():\n", " if sibling.name and re.match(r\"h[2-3]\", sibling.name):\n", " break\n", " siblings_to_remove.append(sibling)\n", " # Remove those siblings\n", " for node in siblings_to_remove:\n", " node.decompose() # :contentReference[oaicite:10]{index=10}\n", " # Finally remove the \"References\" heading itself\n", " ref_heading.decompose() # :contentReference[oaicite:11]{index=11}\n", "\n", " # 6. Convert remaining HTML in content_div to Markdown\n", " markdown_options = {}\n", " if ignore_links:\n", " markdown_options[\"strip\"] = [\"a\"] # strip all tags :contentReference[oaicite:12]{index=12}\n", "\n", " raw_html = \"\".join(str(child) for child in content_div.children)\n", " markdown_text = md(raw_html, **markdown_options) # :contentReference[oaicite:13]{index=13}\n", "\n", " # 7. Collapse multiple blank lines\n", " markdown_text = re.sub(r\"\\n{3,}\", \"\\n\\n\", markdown_text).strip()\n", "\n", " return markdown_text\n" ] }, { "cell_type": "code", "execution_count": 10, "id": "d6ca5d25", "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "Argentine singer (1935–2009)\n", "\n", "Not to be confused with Mercedes Sola.\n", "\n", "**Haydée Mercedes** \"**La Negra**\" **Sosa** (Latin American Spanish: [meɾˈseðes ˈsosa]; 9 July 1935 – 4 October 2009) was an Argentine singer who was popular throughout Latin America and many countries outside the region. With her roots in Argentine folk music, Sosa became one of the preeminent exponents of *El nuevo cancionero*. She gave voice to songs written by many Latin American songwriters. Her music made people hail her as the \"voice of the voiceless ones\". She was often called \"the conscience of Latin America\".\n", "\n", "Sosa performed in venues such as the Lincoln Center in New York City, the Théâtre Mogador in Paris, the Sistine Chapel in Vatican City, as well as sold-out shows in New York's Carnegie Hall and the Roman Colosseum during her final decade of life. Her career spanned four decades and she was the recipient of six Latin Grammy awards (2000, 2003, 2004, 2006, 2009, 2011), including a Latin Grammy Lifetime Achievement Award in 2004 and two posthumous Latin Grammy Award for Best Folk Album in 2009 and 2011. She won the Premio Gardel in 2000, the main musical award in Argentina. She served as an ambassador for UNICEF.\n", "\n", "Life\n", "----\n", "\n", "Sosa was born on 9 July 1935, in San Miguel de Tucumán, in the northwestern Argentine province of Tucumán, of mestizo ancestry. She was of French, Spanish and Diaguita descent. Her nickname \"la negra\", which is a common nickname in Argentina for people with darker complexion, is a reference to her indigenous heritage. Her parents, a day laborer and a washerwoman, were Peronists, although they never registered in the party, and she started her career as a singer for the Peronist Party in Tucuman under the name Gladys Osorio. In 1950, at age fifteen, she won a singing competition organized by a local radio station and was given a contract to perform for two months. She recorded her first album, *La Voz de la Zafra*, in 1959. A performance at the 1965 Cosquín National Folklore Festival—where she was introduced and brought to the stage while sitting in the audience by fellow folk singer Jorge Cafrune— brought her to the attention of the Argentine public. Sosa and her first husband, Manuel Oscar Matus, with whom she had one son, were key players in the mid-60s *nueva canción* movement (which was called *nuevo cancionero* in Argentina). Her second record was *Canciones con Fundamento*, a collection of Argentine folk songs.\n", "\n", "Sosa with Félix Luna and Ariel Ramírez (at the piano)\n", "\n", "Sosa \"spent the late 1960s building her audience in Europe and among the cosmopolitan middle class in Buenos Aires, becoming in the process a much bigger star\" than her contemporaries. In 1967, Sosa toured the United States and Europe with great success.[*citation needed*] In later years, she performed and recorded extensively, broadening her repertoire to include material from throughout Latin America.\n", "\n", "In the early 1970s, Sosa released two concept albums in collaboration with composer Ariel Ramírez and lyricist Félix Luna: *Cantata Sudamericana* and *Mujeres Argentinas* (Argentine Women). She also recorded a tribute to Chilean musician Violeta Parra in 1971, including what was to become one of Sosa's signature songs, *Gracias a la vida*. She further popularized of songs written by Milton Nascimento of Brazil and Pablo Milanés and Silvio Rodríguez both from Cuba. Throughout the decade, she released albums such as *Hasta la Victoria* in 1972 and *Traigo un Pueblo* *en mi Voz* in 1973. They featured songs like \"Cuando tenga la tierra\", written by Ariel Petrocelli and Daniel Toro, which tackles political and social issues like wealth and land inequality. During the 1970s she was a part of two films by the director Leopoldo Torre Nilsson: *El Santo de la Espada* in 1970 and *Güemes, la tierra en armas* in 1971, in which she portrayed Juana Azurduy de Padilla, the guerrilla military leader who fought for Argentine independence.\n", "\n", "Sosa in 1972\n", "\n", "After the military junta of Jorge Videla came to power in 1976, the atmosphere in Argentina grew increasingly oppressive. Sosa faced death threats against both her and her family, but refused for many years to leave the country. At a concert in La Plata in 1979, Sosa was searched and arrested on stage, along with all those attending the concert. Their release came about through international intervention. Despite attempts to hold more concerts, she was officially barred from performing by the military regime. Banned in her own country, she moved to Paris and then to Madrid. She has spoken publicly about her artistic and emotional struggles during this period of her life. While in exile, she released the album *A Quien Doy* in 1981. The album included a recording of the song \"Cuando Me Acuerdo de Mi Pais\" which was originally written by the prolific Chilean singer/songwriter, Patricio Manns. The song, which he wrote while also in political exile, expresses the sorrow he felt from being separated from his homeland. She related to this feeling and struggled to continue recording and performing. In an interview with the New York Times, she said, “It was a mental problem, a problem of morale...It wasn’t my throat, or anything physical\".\n", "\n", "Sosa returned to Argentina from her exile in Europe in February 1982, several months before the military regime collapsed as a result of the Falklands War, and gave a series of concerts at the *Teatro Ópera* in Buenos Aires, where she invited many of her younger colleagues to share the stage. A double album of recordings from these performances became an instant best seller. She then traveled to perform in her home province of Tucuman. However, these performances were largely ignored by mainstream media in the country. In subsequent years, Sosa continued to tour both in Argentina and abroad, performing in such venues as the Lincoln Center in New York City and the *Théâtre Mogador* in Paris. In poor health for much of the 1990s, she performed a comeback show in Argentina in 1998. In 1994, she played in the Sistine Chapel in Vatican City. In 2002, she sold out both Carnegie Hall in New York and the Colosseum in Rome in the same year.\n", "\n", "Sosa in 1973\n", "\n", "A supporter of Perón, she favored leftist causes throughout her life. She supported President Raul Alfonsin in the election of 1983 which marked the return of democracy in Argentina following the dictatorship. She referred to this election as \"Argentina's Spring\" She opposed President Carlos Menem, who was in office from 1989 to 1999, and supported the election of Néstor Kirchner, who became president in 2003.\n", "Sosa was a UNESCO Goodwill Ambassador for Latin America and the Caribbean.\n", "\n", "Sosa disliked being identified as a protest singer. While she was outright in her political stances, Sosa said the following on the position of the artist:\n", "\n", "> “An artist isn’t political in the party political sense – they have a constituency, which is their public – it is the poetry that matters most of all.”\n", "\n", "In a career spanning four decades, she worked with performers across several genres and generations, folk, opera, pop, rock, including Martha Argerich, Andrea Bocelli, David Broza, Franco Battiato, Jaime Roos, Joan Baez, Francis Cabrel, Gal Costa, Luz Casal, Lila Downs, Lucio Dalla, Maria Farantouri, Lucecita Benitez, Nilda Fernández, Charly Garcia, León Gieco, Gian Marco, Nana Mouskouri, Pablo Milanés, Holly Near, Milton Nascimento, Pata Negra, Fito Páez, Franco De Vita, Lourdes Pérez, Luciano Pavarotti, Silvio Rodríguez, Ismael Serrano, Shakira, Sting, Caetano Veloso, Julieta Venegas, Gustavo Cerati and Konstantin Wecker\n", "\n", "Sosa participated in a 1999 production of Ariel Ramírez's *Misa Criolla*. Her song *Balderrama* is featured in the 2008 movie *Che*, starring Benicio del Toro as the Argentine Marxist revolutionary Che Guevara.\n", "\n", "Sosa was the co-chair of the Earth Charter International Commission.\n", "\n", "Awards\n", "------\n", "\n", "Sosa won the Latin Grammy Award for Best Folk Album in 2000 (*Misa Criolla*), 2003 (*Acústico*), 2006 (*Corazón Libre*), 2009 (*Cantora 1*, which also won Best Recording Package and was nominated for Album of the Year), and 2011 (*Deja La Vida Volar*), as well as several international awards.\n", "\n", "In 1995, Konex Foundation from Argentina granted her the Diamond Konex Award, one of the most prestigious awards in Argentina, as the most important personality in the popular music of her country in the last decade.\n", "\n", "Death\n", "-----\n", "\n", "Mercedes Sosa lying in repose, with her family and President Cristina Fernández de Kirchner viewing\n", "\n", "Suffering from recurrent endocrine and respiratory problems in later years, the 74-year-old Sosa was hospitalized in Buenos Aires on 18 September 2009. She died from multiple organ failure on 4 October 2009, at 5:15 am. She is survived by one son, Fabián Matus, born of her first marriage. He said: \"She lived her 74 years to the fullest. She had done practically everything she wanted, she didn't have any type of barrier or any type of fear that limited her\". The hospital expressed its sympathies to her relatives. Her website featured the following: \"Her undisputed talent, her honesty and her profound convictions leave a great legacy to future generations\".\n", "\n", "Her body was placed on display at the National Congress building in Buenos Aires for the public to pay their respects, and President Fernández de Kirchner ordered three days of national mourning. Thousands had queued by the end of the day.\n", "\n", "Sosa's obituary in *The Daily Telegraph* said she was \"an unrivalled interpreter of works by her compatriot, the Argentine Atahualpa Yupanqui, and Chile's Violeta Parra\". Helen Popper of Reuters reported her death by saying she \"fought South America's dictators with her voice and became a giant of contemporary Latin American music\". Sosa received three Latin Grammy nominations for her album, in 2009 . She went on to win Best Folk Album about a month after her death.\n", "\n", "Tributes\n", "--------\n", "\n", "In 2019, Sosa was celebrated by a Google Doodle. The doodle was showcased in Argentina, Chile, Uruguay, Paraguay, Bolivia, Peru, Ecuador, Cuba, Iceland, Sweden, Serbia, Greece, Israel and Vietnam.\n", "\n", "In 2023, *Rolling Stone* ranked Sosa at number 160 on its list of the 200 Greatest Singers of All Time.\n", "\n", "Discography\n", "-----------\n", "\n", "Sosa in 2005, with Argentina's then-First Lady (later president from 2007 to 2015), Cristina Fernández de Kirchner\n", "\n", "Sosa recorded forty albums.\n", "\n", "### Studio albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1962 | La Voz De La ZafraLabel: RCA |\n", "| 1965 | Canciones Con FundamentoLabel: El Grillo |\n", "| 1966 | HermanoLabel: Philips |\n", "| 1966 | Yo No Canto Por CantarLabel: Philips |\n", "| 1967 | Para Cantarle A Mi GenteLabel: Philips |\n", "| 1968 | Con Sabor A Mercedes SosaLabel: Philips |\n", "| 1969 | Mujeres ArgentinasLabel: Philips |\n", "| 1970 | El Grito De La TierraLabel: Philips |\n", "| 1970 | Navidad Con Mercedes SosaLabel: Philips |\n", "| 1971 | Homenaje a Violeta ParraLabel: Philips |\n", "| 1972 | Hasta La VictoriaLabel: Philips |\n", "| 1972 | Cantata SudamericanaLabel: Philips |\n", "| 1973 | Traigo Un Pueblo En Mi VozLabel: Philips |\n", "| 1975 | A Que Florezca Mi PuebloLabel: Philips |\n", "| 1976 | En Dirección Del VientoLabel: Philips |\n", "| 1977 | Mercedes Sosa Interpreta A Atahualpa YupanquiLabel: Philips |\n", "| 1979 | Serenata Para La Tierra De UnoLabel: Philips |\n", "| 1981 | A Quien Doy / Cuando Me Acuerdo de Mi PaísLabel: Philips |\n", "| 1982 | Como Un Pájaro LibreLabel: Philips |\n", "| 1983 | Mercedes SosaLabel: Philips |\n", "| 1984 | ¿Será Posible El Sur?Label: Philips |\n", "| 1985 | Vengo A Ofrecer Mi CorazónLabel: Philips |\n", "| 1986 | Mercedes Sosa '86Label: Philips |\n", "| 1987 | Mercedes Sosa '87Label: Philips |\n", "| 1993 | SinoLabel: Philips/Polygram |\n", "| 1994 | Gestos De AmorLabel: Polydor |\n", "| 1996 | Escondido En Mi PaísLabel: Polydor |\n", "| 1997 | Alta Fidelidad(w/Charly García)Label: Mercury |\n", "| 1998 | Al DespertarLabel: Mercury |\n", "| 1999 | Misa CriollaLabel: Mercury |\n", "| 2005 | Corazón LibreLabel: Edge |\n", "| 2009 | Cantora 1(w/various artists)Label: RCA |\n", "| 2009 | Cantora 2(w/various artists)Label: RCA |\n", "| 2011 | CensuradaLabel: Philips |\n", "| 2015 | LuceritoLabel: RCA |\n", "\n", "### EPs\n", "\n", "| Year | EP details |\n", "| --- | --- |\n", "| 1975 | Niño De MañanaLabel: Philips |\n", "\n", "### Live albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1973 | Si Se Calla El Cantor(with Gloria Martin)Label: Philips |\n", "| 1980 | Gravado Ao Vivo No BrasilLabel: Philips |\n", "| 1982 | Mercedes Sosa en ArgentinaLabel: Phonogram/Philips |\n", "| 1985 | Corazón Americano(withMilton Nascimento&León Gieco)Label: Philips |\n", "| 1989 | Live in EuropeLabel: Tropical Music/Polygram Argentina |\n", "| 1991 | De MíLabel: Philips |\n", "| 2002 | Acústico En VivoLabel: Sony Music Argentina |\n", "| 2003 | Argentina Quiere Cantar(withVíctor Heredia&León Gieco)Label: Odeon/EMI |\n", "| 2010 | Deja La Vida Volar (En Gira)Label: RCA |\n", "| 2014 | AngelLabel: Universal Music |\n", "| 2024 | En vivo en el Gran Rex 2006Label: INAMU Discos |\n", "| Mercedes Sosa en Nueva York, 1974Label: Sony Music Argentina |\n", "\n", "### Compilation albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1975 | Disco De OroLabel: Philips |\n", "| 1983 | RecitalLabel: Philips |\n", "| 1988 | Amigos MíosLabel: Philips |\n", "| 1993 | 30 AñosLabel: Polygram Argentina |\n", "| 1995 | OroLabel: Polygram |\n", "| 1997 | The Best Of Mercedes SosaLabel: Mercury |\n", "| 2013 | Siempre En TiLabel: Universal Music |\n", "\n", "Filmography\n", "-----------\n", "\n", "* *Güemes, la tierra en armas* (1971)\n", "* *Argentinísima* (1972)\n", "* *Esta es mi Argentina* (1974)\n", "* *Mercedes Sosa, como un pájaro libre* (1983)\n", "* *Será possible el sur: Mercedes Sosa* (1985)\n", "* *Historias de Argentina en vivo* (2001)\n", "\n", "Further reading\n", "---------------\n", "\n", "* Christensen, Anette (2019). *Mercedes Sosa - The Voice of Hope*. Denmark: Tribute2life Publishing. ISBN 978-87-998216-5-5.\n", "* Christensen, Anette (2019). *Mercedes Sosa - More Than a Song*. Denmark: Tribute2life Publishing. ISBN 978-87-998216-7-9. (Abridged version of Mercedes Sosa - The Voice of Hope)\n", "* Braceli, Rodolfo (2010). *Mercedes Sosa. La Negra* (in Spanish). Italy: Perrone. ISBN 978-88-6004-347-4.\n", "* Matus, Fabián (2016). *Mercedes Sosa. La Mami* (in Spanish). Argentina: Planeta. ISBN 978-950-49-5247-3.\n", "\n", "References\n", "----------\n", "\n", "1. **^** Mercedes Sosa at BrainyHistory.com\n", "2. **^** \"Singer Mercedes Sosa: The voice of the 'voiceless ones' outlasts South American dictatorships\".\n", "3. ^ ***a*** ***b*** ***c*** Heckman, Don (29 October 1995). \"POP MUSIC : The Voice Heard Round the World : Mercedes Sosa, a compelling figure in world music and a social activist, will make a rare L.A. appearance\". *Los Angeles Times*. Retrieved 5 December 2023.\n", "4. ^ ***a*** ***b*** ***c*** ***d*** ***e*** ***f*** ***g*** ***h*** \"Legendary folk singer Mercedes Sosa dies at 74\". France 24. 4 October 2009. Retrieved 5 October 2009.\n", "5. ^ ***a*** ***b*** ***c*** ***d*** Bernstein, Adam (5 October 2009). \"Argentine folk singer who championed social justice\". *Los Angeles Times*. Retrieved 8 March 2025.\n", "6. **^** *Mercedes Sosa: The Voice of Latin America*. Dir. Rodrigo H. Villa. First Run Features, 2013. Web.\n", "7. ^ ***a*** ***b*** ***c*** ***d*** ***e*** ***f*** ***g*** ***h*** \"Mercedes Sosa: Obituary\". *The Daily Telegraph*. 4 October 2009. Retrieved 5 October 2009.\n", "8. **^** The presentation by Jorge Cafrune and the song Mercedes Sosa sang on YouTube. Retrieved 3 March 2010.\n", "9. ^ ***a*** ***b*** ***c*** ***d*** ***e*** ***f*** ***g*** ***h*** \"Latin artist Mercedes Sosa dies\". BBC. 4 October 2009. Retrieved 5 October 2009.\n", "10. **^** Karush, Matthew (2017). *Musicians in Transit: Argentina and the Globalization of Popular Music*. Duke. p. 168. ISBN 978-0-8223-7377-3.\n", "11. ^ ***a*** ***b*** Associated Press[*dead link*]\n", "12. ^ ***a*** ***b*** \"Biografía\". *Fundación Mercedes Sosa* (in Spanish). Retrieved 8 March 2025.\n", "13. **^** Argentina, Cadena 3. \"El folclore argentino llora la muerte de Daniel Toro - Notas - Viva la Radio\". *Cadena 3 Argentina* (in Spanish). Retrieved 14 March 2025.`{{cite web}}`: CS1 maint: numeric names: authors list (link)\n", "14. **^** Nilsson, Leopoldo Torre (7 April 1971), *Güemes - la tierra en armas* (Drama, History), Alfredo Alcón, Norma Aleandro, Gabriela Gili, Producciones Cinematográficas Cerrillos, retrieved 8 March 2025\n", "15. **^** Rodrigo (10 September 2020). \"Patricio Manns: Cuando me acuerdo de mi país (1983) | PERRERAC: La canción, un arma de la revolución\" (in Spanish). Retrieved 14 March 2025.\n", "16. ^ ***a*** ***b*** Lopez, Vicente F. (18 January 1983). \"ARTISTAS EXILIADOS HAN REGRESADO A ARGENTINA\". *El Nuevo Herald*. p. 8. Retrieved 7 March 2025.\n", "17. **^** Drosdoff, Daniel (30 October 1983). \"ARGENTINIAN VOTE TO END DICTATORSHIP PERONIST AND RADICAL IN LEAD FOR PRESIDENCY\". *Miami Herald*. pp. 16A. Retrieved 7 March 2025.\n", "18. **^** Interview with Mercedes Sosa Archived 16 October 2009 at the Wayback Machine, *Magazin Berliner Zeitung*, 25 October 2003. (in German)\n", "19. **^** Mercedes Sosa in concert Archived 4 January 2008 at the Wayback Machine\n", "20. **^** Meyer, Bill (7 October 2009). \"A U.S. musician pays tribute to Mercedes Sosa\". *People's World*. Retrieved 5 December 2023.\n", "21. **^** \"In Profile: Mercedes Sosa\". *soundsandcolours.com*. 26 August 2010. Retrieved 27 March 2018.\n", "22. **^** *Balderrama* by Mercedes Sosa on YouTube – a tribute to Che Guevara\n", "23. **^** \"Latin Grammys: Ganadores – Años Anteriores (2000)\". *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "24. **^** \"Latin Grammys: Ganadores – Años Anteriores (2003)\". *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "25. **^** \"Latin Grammys: Ganadores – Años Anteriores (2006)\". *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "26. **^** \"Latin Grammys: Ganadores – Años Anteriores (2009)\". *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "27. **^** \"Latin Grammys: Ganadores – Años Anteriores (2011)\". *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "28. **^** \"Premios Konex 1995: Música Popular\". *Fundación Konex* (in Spanish). Retrieved 7 July 2021.\n", "29. **^** \"\"En ningún momento sufrió\", dijo el hijo de Mercedes Sosa\" (in Spanish). October 2009. Archived from the original on 4 October 2009. Retrieved 1 October 2009.\n", "30. ^ ***a*** ***b*** ***c*** Javier Doberti (4 October 2009). \"Argentine singer Mercedes Sosa, 'voice of Latin America,' dies at 74\". CNN. Retrieved 5 October 2009.\n", "31. **^** \"Argentine folk legend Mercedes Sosa dead at 74\". *Bangkok Post*. 4 October 2009. Retrieved 5 October 2009.\n", "32. ^ ***a*** ***b*** \"Argentine folk icon Sosa dies at 74\". Al Jazeera. 4 October 2009. Retrieved 5 October 2009.\n", "33. **^** \"Continúa la procesión en el Congreso para despedir a Mercedes Sosa\".\n", "34. ^ ***a*** ***b*** Helen Popper (4 October 2009). \"Argentine singer Mercedes Sosa dies at 74\". *Reuters*. Archived from the original on 11 October 2009. Retrieved 5 October 2009.\n", "35. **^** \"Celebrating Mercedes Sosa\". *Doodles Archive, Google*. 31 January 2019.\n", "36. **^** \"The 200 Greatest Singers of All Time\". *Rolling Stone*. 1 January 2023. Retrieved 9 March 2023.\n", "\n", "External links\n", "--------------\n", "\n", "Wikiquote has quotations related to ***Mercedes Sosa***.\n", "\n", "Wikimedia Commons has media related to Mercedes Sosa.\n", "\n", "* Tribute to Mercedes Sosa (in Portuguese BR)\n", "* Mercedes Sosa's website (in Spanish)\n", "* Mercedes Sosa's News (in Spanish)\n", "* Mercedes Sosa at IMDb\n", "* Mercedes Sosa's Discography on Discogs.com\n", "\n", "NewPP limit report\n", "Parsed by mw‐api‐ext.eqiad.main‐655cc685c8‐xdg6t\n", "Cached time: 20250603141506\n", "Cache expiry: 2592000\n", "Reduced expiry: false\n", "Complications: [vary‐revision‐sha1, show‐toc]\n", "CPU time usage: 1.359 seconds\n", "Real time usage: 1.721 seconds\n", "Preprocessor visited node count: 6973/1000000\n", "Revision size: 29435/2097152 bytes\n", "Post‐expand include size: 288001/2097152 bytes\n", "Template argument size: 6520/2097152 bytes\n", "Highest expansion depth: 20/100\n", "Expensive parser function count: 8/500\n", "Unstrip recursion depth: 1/20\n", "Unstrip post‐expand size: 166311/5000000 bytes\n", "Lua time usage: 0.741/10.000 seconds\n", "Lua memory usage: 16760866/52428800 bytes\n", "Number of Wikibase entities loaded: 1/500\n", "Transclusion expansion time report (%,ms,calls,template)\n", "100.00% 1305.662 1 -total\n", "29.52% 385.448 1 Template:Reflist\n", "20.38% 266.073 1 Template:Infobox\\_person\n", "9.77% 127.503 20 Template:Cite\\_web\n", "8.75% 114.217 5 Template:Cite\\_book\n", "8.41% 109.751 1 Template:In\\_lang\n", "7.34% 95.784 1 Template:Infobox\\_musical\\_artist\n", "7.02% 91.627 2 Template:Short\\_description\n", "6.76% 88.198 6 Template:Br\\_separated\\_entries\n", "6.03% 78.712 1 Template:Mercedes\\_Sosa\n", "Saved in parser cache with key enwiki:pcache:476992:|#|:idhash:canonical and timestamp 20250603141506 and revision id 1293758111. Rendering was triggered because: api-parse" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from IPython.display import display, Markdown\n", "\n", "md_page = get_wikipedia_markdown(\n", " 'Mercedes_Sosa',\n", " lang='en',\n", " ignore_references= True,\n", " ignore_links= True)\n", "\n", "display(Markdown(md_page)) " ] }, { "cell_type": "code", "execution_count": 30, "id": "10c86f8a", "metadata": {}, "outputs": [], "source": [ "import re\n", "import requests\n", "from bs4 import BeautifulSoup, Tag\n", "from markdownify import markdownify as md\n", "\n", "def get_wikipedia_markdown(\n", " title: str,\n", " lang: str = 'en',\n", " ignore_references: bool = True,\n", " ignore_links: bool = False\n", ") -> str:\n", " \"\"\"\n", " Fetches the main content of a Wikipedia page and returns it as Markdown,\n", " excluding infoboxes, sidebars, images, and optionally the References,\n", " Further reading, and External links sections.\n", "\n", " Args:\n", " title (str): Wikipedia page title (e.g., \"Python_(programming_language)\").\n", " lang (str): Language code (default 'en' for English).\n", " ignore_references (bool): If True, drop \"References\", \"Further reading\", and\n", " \"External links\" sections entirely.\n", " ignore_links (bool): If True, strip out all tags (leaving plain text).\n", "\n", " Returns:\n", " str: Markdown-formatted content of the main article body.\n", " \"\"\"\n", " # 1. Fetch raw HTML of the Wikipedia page\n", " url = f\"https://{lang}.wikipedia.org/wiki/{title}\"\n", " response = requests.get(url)\n", " response.raise_for_status() # :contentReference[oaicite:6]{index=6}\n", " html = response.text\n", "\n", " # 2. Parse with BeautifulSoup and isolate the div containing article text\n", " soup = BeautifulSoup(html, \"lxml\")\n", " content_div = soup.find(\"div\", class_=\"mw-parser-output\") # :contentReference[oaicite:7]{index=7}\n", " if content_div is None:\n", " raise ValueError(f\"Could not find main content for page '{title}'\")\n", "\n", " # 2a. Remove all \"[edit]\" links by deleting \n", " for edit_span in content_div.find_all(\"span\", class_=\"mw-editsection\"):\n", " edit_span.decompose() # :contentReference[oaicite:8]{index=8}\n", "\n", " # 2b. Remove any superscripted footnote markers ()\n", " for sup in content_div.find_all(\"sup\", class_=\"reference\"):\n", " sup.decompose() # :contentReference[oaicite:9]{index=9}\n", "\n", " # 3. Remove unwanted elements: infoboxes, toc, navboxes, thumbnails, images\n", " # a) Infoboxes (sidebars)\n", " for infobox in content_div.find_all(\"table\", class_=re.compile(r\"infobox\")):\n", " infobox.decompose() # :contentReference[oaicite:10]{index=10}\n", "\n", " # b) Table of Contents\n", " toc = content_div.find(\"div\", id=\"toc\")\n", " if toc:\n", " toc.decompose() # :contentReference[oaicite:11]{index=11}\n", "\n", " # c) Navigation boxes and Wikipedia templates (navbox/metadata)\n", " for nav in content_div.find_all(\n", " [\"div\", \"table\"],\n", " class_=re.compile(r\"navbox|vertical-navbox|metadata\")\n", " ):\n", " nav.decompose() # :contentReference[oaicite:12]{index=12}\n", "\n", " # d) Thumbnails / image wrappers\n", " for thumb in content_div.find_all(\"div\", class_=re.compile(r\"thumb\")):\n", " thumb.decompose() # :contentReference[oaicite:13]{index=13}\n", "\n", " # e) Remove any raw tags\n", " for img in content_div.find_all(\"img\"):\n", " img.decompose() # :contentReference[oaicite:14]{index=14}\n", "\n", " # 4. Convert every remaining

into Markdown, in place\n", " def table_to_markdown(table_tag: Tag) -> str:\n", " \"\"\"\n", " Converts a
tag to a Markdown-formatted table, preserving any
headers.\n", " \"\"\"\n", " headers = []\n", " header_row = table_tag.find(\"tr\")\n", " if header_row:\n", " for th in header_row.find_all(\"th\"):\n", " headers.append(th.get_text(strip=True))\n", " md_table = \"\"\n", " if headers:\n", " md_table += \"| \" + \" | \".join(headers) + \" |\\n\"\n", " md_table += \"| \" + \" | \".join(\"---\" for _ in headers) + \" |\\n\"\n", " # Data rows (skip header row)\n", " for row in table_tag.find_all(\"tr\")[1:]:\n", " cells = row.find_all([\"td\", \"th\"])\n", " if not cells:\n", " continue\n", " row_texts = [cell.get_text(strip=True) for cell in cells]\n", " md_table += \"| \" + \" | \".join(row_texts) + \" |\\n\"\n", " return md_table.rstrip()\n", "\n", " for table in content_div.find_all(\"table\"):\n", " # Skip any tables already removed or used for navigation\n", " if \"infobox\" in table.get(\"class\", []) or table.get(\"role\") == \"navigation\":\n", " continue\n", " markdown_table = table_to_markdown(table) # :contentReference[oaicite:15]{index=15}\n", " new_node = soup.new_string(\"\\n\\n\" + markdown_table + \"\\n\\n\")\n", " table.replace_with(new_node)\n", "\n", " # 5. Remove \"References\", \"Further reading\", and \"External links\" sections if requested\n", " if ignore_references:\n", " print(\"\\nDEBUG: --- ignore_references is True ---\") # DEBUG\n", " target_sections = {\"references\", \"further reading\", \"external links\"}\n", " print(f\"DEBUG: Target section names: {target_sections}\") # DEBUG\n", " \n", " all_headline_spans = list(content_div.find_all(\"span\", class_=\"mw-headline\"))\n", " print(f\"DEBUG: Found {len(all_headline_spans)} 'mw-headline' spans in content_div.\") # DEBUG\n", " \n", " for i, span in enumerate(all_headline_spans):\n", " if not span.parent:\n", " # This span's parent was already removed from the tree.\n", " # print(f\"DEBUG: Span {i} ('{span.get_text(strip=True)[:30]}...') has no parent, skipping.\") # DEBUG\n", " continue\n", "\n", " heading_text = span.get_text(strip=True).lower()\n", " # Optionally, print all heading texts found to check for subtle differences:\n", " # print(f\"DEBUG: Checking span {i}: Extracted text: '{heading_text}' (Original ID: {span.get('id')})\") # DEBUG\n", "\n", " if heading_text in target_sections:\n", " print(f\"DEBUG: Matched target section: '{heading_text}' from span {i} (ID: {span.get('id')}).\") # DEBUG\n", " section_heading_tag = span.find_parent(re.compile(r\"^h[1-6]$\"))\n", "\n", " if not section_heading_tag:\n", " print(f\"DEBUG: No H-tag ancestor found for '{heading_text}'. Span HTML: {str(span.parent)[:100]}\") # DEBUG\n", " continue\n", " \n", " if not section_heading_tag.parent:\n", " print(f\"DEBUG: H-tag <{section_heading_tag.name}> for '{heading_text}' (ID: {section_heading_tag.get('id')}) was already decomposed. Skipping.\") # DEBUG\n", " continue\n", " \n", " print(f\"DEBUG: Found H-tag: <{section_heading_tag.name} id='{section_heading_tag.get('id')}'> for '{heading_text}'.\") # DEBUG\n", "\n", " try:\n", " current_section_level = int(section_heading_tag.name[1:])\n", " except (ValueError, IndexError):\n", " print(f\"DEBUG: Could not parse level from H-tag name '{section_heading_tag.name}'. Skipping.\") # DEBUG\n", " continue\n", "\n", " nodes_to_remove = []\n", " for sibling_node in section_heading_tag.find_next_siblings():\n", " if sibling_node.name and sibling_node.name.startswith('h'):\n", " try:\n", " sibling_level = int(sibling_node.name[1:])\n", " if sibling_level <= current_section_level:\n", " print(f\"DEBUG: Stopping content removal for '{heading_text}' at sibling <{sibling_node.name} id='{sibling_node.get('id')}'>.\") # DEBUG\n", " break \n", " except (ValueError, IndexError):\n", " pass \n", " nodes_to_remove.append(sibling_node)\n", " \n", " print(f\"DEBUG: For '{heading_text}', planning to remove {len(nodes_to_remove)} content nodes.\") # DEBUG\n", " for node_idx, node in enumerate(nodes_to_remove):\n", " if node.parent:\n", " # print(f\"DEBUG: Decomposing content node {node_idx} for '{heading_text}': <{node.name}>\") # DEBUG\n", " node.decompose()\n", " \n", " if section_heading_tag.parent:\n", " print(f\"DEBUG: Decomposing H-tag <{section_heading_tag.name} id='{section_heading_tag.get('id')}'> for '{heading_text}'.\") # DEBUG\n", " section_heading_tag.decompose()\n", " elif any(ts_part in heading_text for ts_part in [\"reference\", \"external\", \"further\", \"see also\", \"notes\"]): # DEBUG for near misses\n", " print(f\"DEBUG: Near miss? Span text: '{heading_text}' (ID: {span.get('id')})\") # DEBUG\n", "\n", "\n", " # 6. Convert remaining HTML in content_div to Markdown\n", " markdown_options = {}\n", " if ignore_links:\n", " markdown_options[\"strip\"] = [\"a\"] # strip all tags :contentReference[oaicite:18]{index=18}\n", " raw_html = \"\".join(str(child) for child in content_div.children)\n", " markdown_text = md(raw_html, **markdown_options) # :contentReference[oaicite:19]{index=19}\n", "\n", " # 7. Collapse runs of 3+ newlines into exactly two\n", " markdown_text = re.sub(r\"\\n{3,}\", \"\\n\\n\", markdown_text).strip()\n", "\n", " return markdown_text\n" ] }, { "cell_type": "code", "execution_count": 31, "id": "ce350851", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "DEBUG: --- ignore_references is True ---\n", "DEBUG: Target section names: {'further reading', 'references', 'external links'}\n", "DEBUG: Found 0 'mw-headline' spans in content_div.\n" ] }, { "data": { "text/markdown": [ "Argentine singer (1935–2009)\n", "\n", "Not to be confused with Mercedes Sola.\n", "\n", "**Haydée Mercedes** \"**La Negra**\" **Sosa** (Latin American Spanish: [meɾˈseðes ˈsosa]; 9 July 1935 – 4 October 2009) was an Argentine singer who was popular throughout Latin America and many countries outside the region. With her roots in Argentine folk music, Sosa became one of the preeminent exponents of *El nuevo cancionero*. She gave voice to songs written by many Latin American songwriters. Her music made people hail her as the \"voice of the voiceless ones\". She was often called \"the conscience of Latin America\".\n", "\n", "Sosa performed in venues such as the Lincoln Center in New York City, the Théâtre Mogador in Paris, the Sistine Chapel in Vatican City, as well as sold-out shows in New York's Carnegie Hall and the Roman Colosseum during her final decade of life. Her career spanned four decades and she was the recipient of six Latin Grammy awards (2000, 2003, 2004, 2006, 2009, 2011), including a Latin Grammy Lifetime Achievement Award in 2004 and two posthumous Latin Grammy Award for Best Folk Album in 2009 and 2011. She won the Premio Gardel in 2000, the main musical award in Argentina. She served as an ambassador for UNICEF.\n", "\n", "Life\n", "----\n", "\n", "Sosa was born on 9 July 1935, in San Miguel de Tucumán, in the northwestern Argentine province of Tucumán, of mestizo ancestry. She was of French, Spanish and Diaguita descent. Her nickname \"la negra\", which is a common nickname in Argentina for people with darker complexion, is a reference to her indigenous heritage. Her parents, a day laborer and a washerwoman, were Peronists, although they never registered in the party, and she started her career as a singer for the Peronist Party in Tucuman under the name Gladys Osorio. In 1950, at age fifteen, she won a singing competition organized by a local radio station and was given a contract to perform for two months. She recorded her first album, *La Voz de la Zafra*, in 1959. A performance at the 1965 Cosquín National Folklore Festival—where she was introduced and brought to the stage while sitting in the audience by fellow folk singer Jorge Cafrune— brought her to the attention of the Argentine public. Sosa and her first husband, Manuel Oscar Matus, with whom she had one son, were key players in the mid-60s *nueva canción* movement (which was called *nuevo cancionero* in Argentina). Her second record was *Canciones con Fundamento*, a collection of Argentine folk songs.\n", "\n", "Sosa with Félix Luna and Ariel Ramírez (at the piano)\n", "\n", "Sosa \"spent the late 1960s building her audience in Europe and among the cosmopolitan middle class in Buenos Aires, becoming in the process a much bigger star\" than her contemporaries. In 1967, Sosa toured the United States and Europe with great success.[*citation needed*] In later years, she performed and recorded extensively, broadening her repertoire to include material from throughout Latin America.\n", "\n", "In the early 1970s, Sosa released two concept albums in collaboration with composer Ariel Ramírez and lyricist Félix Luna: *Cantata Sudamericana* and *Mujeres Argentinas* (Argentine Women). She also recorded a tribute to Chilean musician Violeta Parra in 1971, including what was to become one of Sosa's signature songs, *Gracias a la vida*. She further popularized of songs written by Milton Nascimento of Brazil and Pablo Milanés and Silvio Rodríguez both from Cuba. Throughout the decade, she released albums such as *Hasta la Victoria* in 1972 and *Traigo un Pueblo* *en mi Voz* in 1973. They featured songs like \"Cuando tenga la tierra\", written by Ariel Petrocelli and Daniel Toro, which tackles political and social issues like wealth and land inequality. During the 1970s she was a part of two films by the director Leopoldo Torre Nilsson: *El Santo de la Espada* in 1970 and *Güemes, la tierra en armas* in 1971, in which she portrayed Juana Azurduy de Padilla, the guerrilla military leader who fought for Argentine independence.\n", "\n", "Sosa in 1972\n", "\n", "After the military junta of Jorge Videla came to power in 1976, the atmosphere in Argentina grew increasingly oppressive. Sosa faced death threats against both her and her family, but refused for many years to leave the country. At a concert in La Plata in 1979, Sosa was searched and arrested on stage, along with all those attending the concert. Their release came about through international intervention. Despite attempts to hold more concerts, she was officially barred from performing by the military regime. Banned in her own country, she moved to Paris and then to Madrid. She has spoken publicly about her artistic and emotional struggles during this period of her life. While in exile, she released the album *A Quien Doy* in 1981. The album included a recording of the song \"Cuando Me Acuerdo de Mi Pais\" which was originally written by the prolific Chilean singer/songwriter, Patricio Manns. The song, which he wrote while also in political exile, expresses the sorrow he felt from being separated from his homeland. She related to this feeling and struggled to continue recording and performing. In an interview with the New York Times, she said, “It was a mental problem, a problem of morale...It wasn’t my throat, or anything physical\".\n", "\n", "Sosa returned to Argentina from her exile in Europe in February 1982, several months before the military regime collapsed as a result of the Falklands War, and gave a series of concerts at the *Teatro Ópera* in Buenos Aires, where she invited many of her younger colleagues to share the stage. A double album of recordings from these performances became an instant best seller. She then traveled to perform in her home province of Tucuman. However, these performances were largely ignored by mainstream media in the country. In subsequent years, Sosa continued to tour both in Argentina and abroad, performing in such venues as the Lincoln Center in New York City and the *Théâtre Mogador* in Paris. In poor health for much of the 1990s, she performed a comeback show in Argentina in 1998. In 1994, she played in the Sistine Chapel in Vatican City. In 2002, she sold out both Carnegie Hall in New York and the Colosseum in Rome in the same year.\n", "\n", "Sosa in 1973\n", "\n", "A supporter of Perón, she favored leftist causes throughout her life. She supported President Raul Alfonsin in the election of 1983 which marked the return of democracy in Argentina following the dictatorship. She referred to this election as \"Argentina's Spring\" She opposed President Carlos Menem, who was in office from 1989 to 1999, and supported the election of Néstor Kirchner, who became president in 2003.\n", "Sosa was a UNESCO Goodwill Ambassador for Latin America and the Caribbean.\n", "\n", "Sosa disliked being identified as a protest singer. While she was outright in her political stances, Sosa said the following on the position of the artist:\n", "\n", "> “An artist isn’t political in the party political sense – they have a constituency, which is their public – it is the poetry that matters most of all.”\n", "\n", "In a career spanning four decades, she worked with performers across several genres and generations, folk, opera, pop, rock, including Martha Argerich, Andrea Bocelli, David Broza, Franco Battiato, Jaime Roos, Joan Baez, Francis Cabrel, Gal Costa, Luz Casal, Lila Downs, Lucio Dalla, Maria Farantouri, Lucecita Benitez, Nilda Fernández, Charly Garcia, León Gieco, Gian Marco, Nana Mouskouri, Pablo Milanés, Holly Near, Milton Nascimento, Pata Negra, Fito Páez, Franco De Vita, Lourdes Pérez, Luciano Pavarotti, Silvio Rodríguez, Ismael Serrano, Shakira, Sting, Caetano Veloso, Julieta Venegas, Gustavo Cerati and Konstantin Wecker\n", "\n", "Sosa participated in a 1999 production of Ariel Ramírez's *Misa Criolla*. Her song *Balderrama* is featured in the 2008 movie *Che*, starring Benicio del Toro as the Argentine Marxist revolutionary Che Guevara.\n", "\n", "Sosa was the co-chair of the Earth Charter International Commission.\n", "\n", "Awards\n", "------\n", "\n", "Sosa won the Latin Grammy Award for Best Folk Album in 2000 (*Misa Criolla*), 2003 (*Acústico*), 2006 (*Corazón Libre*), 2009 (*Cantora 1*, which also won Best Recording Package and was nominated for Album of the Year), and 2011 (*Deja La Vida Volar*), as well as several international awards.\n", "\n", "In 1995, Konex Foundation from Argentina granted her the Diamond Konex Award, one of the most prestigious awards in Argentina, as the most important personality in the popular music of her country in the last decade.\n", "\n", "Death\n", "-----\n", "\n", "Mercedes Sosa lying in repose, with her family and President Cristina Fernández de Kirchner viewing\n", "\n", "Suffering from recurrent endocrine and respiratory problems in later years, the 74-year-old Sosa was hospitalized in Buenos Aires on 18 September 2009. She died from multiple organ failure on 4 October 2009, at 5:15 am. She is survived by one son, Fabián Matus, born of her first marriage. He said: \"She lived her 74 years to the fullest. She had done practically everything she wanted, she didn't have any type of barrier or any type of fear that limited her\". The hospital expressed its sympathies to her relatives. Her website featured the following: \"Her undisputed talent, her honesty and her profound convictions leave a great legacy to future generations\".\n", "\n", "Her body was placed on display at the National Congress building in Buenos Aires for the public to pay their respects, and President Fernández de Kirchner ordered three days of national mourning. Thousands had queued by the end of the day.\n", "\n", "Sosa's obituary in *The Daily Telegraph* said she was \"an unrivalled interpreter of works by her compatriot, the Argentine Atahualpa Yupanqui, and Chile's Violeta Parra\". Helen Popper of Reuters reported her death by saying she \"fought South America's dictators with her voice and became a giant of contemporary Latin American music\". Sosa received three Latin Grammy nominations for her album, in 2009 . She went on to win Best Folk Album about a month after her death.\n", "\n", "Tributes\n", "--------\n", "\n", "In 2019, Sosa was celebrated by a Google Doodle. The doodle was showcased in Argentina, Chile, Uruguay, Paraguay, Bolivia, Peru, Ecuador, Cuba, Iceland, Sweden, Serbia, Greece, Israel and Vietnam.\n", "\n", "In 2023, *Rolling Stone* ranked Sosa at number 160 on its list of the 200 Greatest Singers of All Time.\n", "\n", "Discography\n", "-----------\n", "\n", "Sosa in 2005, with Argentina's then-First Lady (later president from 2007 to 2015), Cristina Fernández de Kirchner\n", "\n", "Sosa recorded forty albums.\n", "\n", "### Studio albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1962 | La Voz De La ZafraLabel: RCA |\n", "| 1965 | Canciones Con FundamentoLabel: El Grillo |\n", "| 1966 | HermanoLabel: Philips |\n", "| 1966 | Yo No Canto Por CantarLabel: Philips |\n", "| 1967 | Para Cantarle A Mi GenteLabel: Philips |\n", "| 1968 | Con Sabor A Mercedes SosaLabel: Philips |\n", "| 1969 | Mujeres ArgentinasLabel: Philips |\n", "| 1970 | El Grito De La TierraLabel: Philips |\n", "| 1970 | Navidad Con Mercedes SosaLabel: Philips |\n", "| 1971 | Homenaje a Violeta ParraLabel: Philips |\n", "| 1972 | Hasta La VictoriaLabel: Philips |\n", "| 1972 | Cantata SudamericanaLabel: Philips |\n", "| 1973 | Traigo Un Pueblo En Mi VozLabel: Philips |\n", "| 1975 | A Que Florezca Mi PuebloLabel: Philips |\n", "| 1976 | En Dirección Del VientoLabel: Philips |\n", "| 1977 | Mercedes Sosa Interpreta A Atahualpa YupanquiLabel: Philips |\n", "| 1979 | Serenata Para La Tierra De UnoLabel: Philips |\n", "| 1981 | A Quien Doy / Cuando Me Acuerdo de Mi PaísLabel: Philips |\n", "| 1982 | Como Un Pájaro LibreLabel: Philips |\n", "| 1983 | Mercedes SosaLabel: Philips |\n", "| 1984 | ¿Será Posible El Sur?Label: Philips |\n", "| 1985 | Vengo A Ofrecer Mi CorazónLabel: Philips |\n", "| 1986 | Mercedes Sosa '86Label: Philips |\n", "| 1987 | Mercedes Sosa '87Label: Philips |\n", "| 1993 | SinoLabel: Philips/Polygram |\n", "| 1994 | Gestos De AmorLabel: Polydor |\n", "| 1996 | Escondido En Mi PaísLabel: Polydor |\n", "| 1997 | Alta Fidelidad(w/Charly García)Label: Mercury |\n", "| 1998 | Al DespertarLabel: Mercury |\n", "| 1999 | Misa CriollaLabel: Mercury |\n", "| 2005 | Corazón LibreLabel: Edge |\n", "| 2009 | Cantora 1(w/various artists)Label: RCA |\n", "| 2009 | Cantora 2(w/various artists)Label: RCA |\n", "| 2011 | CensuradaLabel: Philips |\n", "| 2015 | LuceritoLabel: RCA |\n", "\n", "### EPs\n", "\n", "| Year | EP details |\n", "| --- | --- |\n", "| 1975 | Niño De MañanaLabel: Philips |\n", "\n", "### Live albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1973 | Si Se Calla El Cantor(with Gloria Martin)Label: Philips |\n", "| 1980 | Gravado Ao Vivo No BrasilLabel: Philips |\n", "| 1982 | Mercedes Sosa en ArgentinaLabel: Phonogram/Philips |\n", "| 1985 | Corazón Americano(withMilton Nascimento&León Gieco)Label: Philips |\n", "| 1989 | Live in EuropeLabel: Tropical Music/Polygram Argentina |\n", "| 1991 | De MíLabel: Philips |\n", "| 2002 | Acústico En VivoLabel: Sony Music Argentina |\n", "| 2003 | Argentina Quiere Cantar(withVíctor Heredia&León Gieco)Label: Odeon/EMI |\n", "| 2010 | Deja La Vida Volar (En Gira)Label: RCA |\n", "| 2014 | AngelLabel: Universal Music |\n", "| 2024 | En vivo en el Gran Rex 2006Label: INAMU Discos |\n", "| Mercedes Sosa en Nueva York, 1974Label: Sony Music Argentina |\n", "\n", "### Compilation albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1975 | Disco De OroLabel: Philips |\n", "| 1983 | RecitalLabel: Philips |\n", "| 1988 | Amigos MíosLabel: Philips |\n", "| 1993 | 30 AñosLabel: Polygram Argentina |\n", "| 1995 | OroLabel: Polygram |\n", "| 1997 | The Best Of Mercedes SosaLabel: Mercury |\n", "| 2013 | Siempre En TiLabel: Universal Music |\n", "\n", "Filmography\n", "-----------\n", "\n", "* *Güemes, la tierra en armas* (1971)\n", "* *Argentinísima* (1972)\n", "* *Esta es mi Argentina* (1974)\n", "* *Mercedes Sosa, como un pájaro libre* (1983)\n", "* *Será possible el sur: Mercedes Sosa* (1985)\n", "* *Historias de Argentina en vivo* (2001)\n", "\n", "Further reading\n", "---------------\n", "\n", "* Christensen, Anette (2019). *Mercedes Sosa - The Voice of Hope*. Denmark: Tribute2life Publishing. ISBN 978-87-998216-5-5.\n", "* Christensen, Anette (2019). *Mercedes Sosa - More Than a Song*. Denmark: Tribute2life Publishing. ISBN 978-87-998216-7-9. (Abridged version of Mercedes Sosa - The Voice of Hope)\n", "* Braceli, Rodolfo (2010). *Mercedes Sosa. La Negra* (in Spanish). Italy: Perrone. ISBN 978-88-6004-347-4.\n", "* Matus, Fabián (2016). *Mercedes Sosa. La Mami* (in Spanish). Argentina: Planeta. ISBN 978-950-49-5247-3.\n", "\n", "References\n", "----------\n", "\n", "1. **^** Mercedes Sosa at BrainyHistory.com\n", "2. **^** \"Singer Mercedes Sosa: The voice of the 'voiceless ones' outlasts South American dictatorships\".\n", "3. ^ ***a*** ***b*** ***c*** Heckman, Don (29 October 1995). \"POP MUSIC : The Voice Heard Round the World : Mercedes Sosa, a compelling figure in world music and a social activist, will make a rare L.A. appearance\". *Los Angeles Times*. Retrieved 5 December 2023.\n", "4. ^ ***a*** ***b*** ***c*** ***d*** ***e*** ***f*** ***g*** ***h*** \"Legendary folk singer Mercedes Sosa dies at 74\". France 24. 4 October 2009. Retrieved 5 October 2009.\n", "5. ^ ***a*** ***b*** ***c*** ***d*** Bernstein, Adam (5 October 2009). \"Argentine folk singer who championed social justice\". *Los Angeles Times*. Retrieved 8 March 2025.\n", "6. **^** *Mercedes Sosa: The Voice of Latin America*. Dir. Rodrigo H. Villa. First Run Features, 2013. Web.\n", "7. ^ ***a*** ***b*** ***c*** ***d*** ***e*** ***f*** ***g*** ***h*** \"Mercedes Sosa: Obituary\". *The Daily Telegraph*. 4 October 2009. Retrieved 5 October 2009.\n", "8. **^** The presentation by Jorge Cafrune and the song Mercedes Sosa sang on YouTube. Retrieved 3 March 2010.\n", "9. ^ ***a*** ***b*** ***c*** ***d*** ***e*** ***f*** ***g*** ***h*** \"Latin artist Mercedes Sosa dies\". BBC. 4 October 2009. Retrieved 5 October 2009.\n", "10. **^** Karush, Matthew (2017). *Musicians in Transit: Argentina and the Globalization of Popular Music*. Duke. p. 168. ISBN 978-0-8223-7377-3.\n", "11. ^ ***a*** ***b*** Associated Press[*dead link*]\n", "12. ^ ***a*** ***b*** \"Biografía\". *Fundación Mercedes Sosa* (in Spanish). Retrieved 8 March 2025.\n", "13. **^** Argentina, Cadena 3. \"El folclore argentino llora la muerte de Daniel Toro - Notas - Viva la Radio\". *Cadena 3 Argentina* (in Spanish). Retrieved 14 March 2025.`{{cite web}}`: CS1 maint: numeric names: authors list (link)\n", "14. **^** Nilsson, Leopoldo Torre (7 April 1971), *Güemes - la tierra en armas* (Drama, History), Alfredo Alcón, Norma Aleandro, Gabriela Gili, Producciones Cinematográficas Cerrillos, retrieved 8 March 2025\n", "15. **^** Rodrigo (10 September 2020). \"Patricio Manns: Cuando me acuerdo de mi país (1983) | PERRERAC: La canción, un arma de la revolución\" (in Spanish). Retrieved 14 March 2025.\n", "16. ^ ***a*** ***b*** Lopez, Vicente F. (18 January 1983). \"ARTISTAS EXILIADOS HAN REGRESADO A ARGENTINA\". *El Nuevo Herald*. p. 8. Retrieved 7 March 2025.\n", "17. **^** Drosdoff, Daniel (30 October 1983). \"ARGENTINIAN VOTE TO END DICTATORSHIP PERONIST AND RADICAL IN LEAD FOR PRESIDENCY\". *Miami Herald*. pp. 16A. Retrieved 7 March 2025.\n", "18. **^** Interview with Mercedes Sosa Archived 16 October 2009 at the Wayback Machine, *Magazin Berliner Zeitung*, 25 October 2003. (in German)\n", "19. **^** Mercedes Sosa in concert Archived 4 January 2008 at the Wayback Machine\n", "20. **^** Meyer, Bill (7 October 2009). \"A U.S. musician pays tribute to Mercedes Sosa\". *People's World*. Retrieved 5 December 2023.\n", "21. **^** \"In Profile: Mercedes Sosa\". *soundsandcolours.com*. 26 August 2010. Retrieved 27 March 2018.\n", "22. **^** *Balderrama* by Mercedes Sosa on YouTube – a tribute to Che Guevara\n", "23. **^** \"Latin Grammys: Ganadores – Años Anteriores (2000)\". *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "24. **^** \"Latin Grammys: Ganadores – Años Anteriores (2003)\". *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "25. **^** \"Latin Grammys: Ganadores – Años Anteriores (2006)\". *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "26. **^** \"Latin Grammys: Ganadores – Años Anteriores (2009)\". *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "27. **^** \"Latin Grammys: Ganadores – Años Anteriores (2011)\". *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "28. **^** \"Premios Konex 1995: Música Popular\". *Fundación Konex* (in Spanish). Retrieved 7 July 2021.\n", "29. **^** \"\"En ningún momento sufrió\", dijo el hijo de Mercedes Sosa\" (in Spanish). October 2009. Archived from the original on 4 October 2009. Retrieved 1 October 2009.\n", "30. ^ ***a*** ***b*** ***c*** Javier Doberti (4 October 2009). \"Argentine singer Mercedes Sosa, 'voice of Latin America,' dies at 74\". CNN. Retrieved 5 October 2009.\n", "31. **^** \"Argentine folk legend Mercedes Sosa dead at 74\". *Bangkok Post*. 4 October 2009. Retrieved 5 October 2009.\n", "32. ^ ***a*** ***b*** \"Argentine folk icon Sosa dies at 74\". Al Jazeera. 4 October 2009. Retrieved 5 October 2009.\n", "33. **^** \"Continúa la procesión en el Congreso para despedir a Mercedes Sosa\".\n", "34. ^ ***a*** ***b*** Helen Popper (4 October 2009). \"Argentine singer Mercedes Sosa dies at 74\". *Reuters*. Archived from the original on 11 October 2009. Retrieved 5 October 2009.\n", "35. **^** \"Celebrating Mercedes Sosa\". *Doodles Archive, Google*. 31 January 2019.\n", "36. **^** \"The 200 Greatest Singers of All Time\". *Rolling Stone*. 1 January 2023. Retrieved 9 March 2023.\n", "\n", "External links\n", "--------------\n", "\n", "Wikiquote has quotations related to ***Mercedes Sosa***.\n", "\n", "Wikimedia Commons has media related to Mercedes Sosa.\n", "\n", "* Tribute to Mercedes Sosa (in Portuguese BR)\n", "* Mercedes Sosa's website (in Spanish)\n", "* Mercedes Sosa's News (in Spanish)\n", "* Mercedes Sosa at IMDb\n", "* Mercedes Sosa's Discography on Discogs.com\n", "\n", "NewPP limit report\n", "Parsed by mw‐api‐ext.eqiad.main‐655cc685c8‐xdg6t\n", "Cached time: 20250603141506\n", "Cache expiry: 2592000\n", "Reduced expiry: false\n", "Complications: [vary‐revision‐sha1, show‐toc]\n", "CPU time usage: 1.359 seconds\n", "Real time usage: 1.721 seconds\n", "Preprocessor visited node count: 6973/1000000\n", "Revision size: 29435/2097152 bytes\n", "Post‐expand include size: 288001/2097152 bytes\n", "Template argument size: 6520/2097152 bytes\n", "Highest expansion depth: 20/100\n", "Expensive parser function count: 8/500\n", "Unstrip recursion depth: 1/20\n", "Unstrip post‐expand size: 166311/5000000 bytes\n", "Lua time usage: 0.741/10.000 seconds\n", "Lua memory usage: 16760866/52428800 bytes\n", "Number of Wikibase entities loaded: 1/500\n", "Transclusion expansion time report (%,ms,calls,template)\n", "100.00% 1305.662 1 -total\n", "29.52% 385.448 1 Template:Reflist\n", "20.38% 266.073 1 Template:Infobox\\_person\n", "9.77% 127.503 20 Template:Cite\\_web\n", "8.75% 114.217 5 Template:Cite\\_book\n", "8.41% 109.751 1 Template:In\\_lang\n", "7.34% 95.784 1 Template:Infobox\\_musical\\_artist\n", "7.02% 91.627 2 Template:Short\\_description\n", "6.76% 88.198 6 Template:Br\\_separated\\_entries\n", "6.03% 78.712 1 Template:Mercedes\\_Sosa\n", "Saved in parser cache with key enwiki:pcache:476992:|#|:idhash:canonical and timestamp 20250603141506 and revision id 1293758111. Rendering was triggered because: api-parse" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from IPython.display import display, Markdown\n", "\n", "md_page = get_wikipedia_markdown(\n", " 'Mercedes_Sosa',\n", " lang='en',\n", " ignore_references= True,\n", " ignore_links= True)\n", "\n", "display(Markdown(md_page)) " ] }, { "cell_type": "code", "execution_count": 46, "id": "cc47b75e", "metadata": {}, "outputs": [], "source": [ "import re\n", "import requests\n", "from bs4 import BeautifulSoup, Tag\n", "from markdownify import markdownify as md\n", "\n", "def get_wikipedia_markdown(\n", " title: str,\n", " lang: str = 'en',\n", " ignore_references: bool = True,\n", " ignore_links: bool = False\n", ") -> str:\n", " \"\"\"\n", " Fetches the main content of a Wikipedia page and returns it as Markdown,\n", " excluding infoboxes, sidebars, images, and optionally the References,\n", " Further reading, and External links sections.\n", "\n", " Args:\n", " title (str): Wikipedia page title (e.g., \"Python_(programming_language)\").\n", " lang (str): Language code (default 'en' for English).\n", " ignore_references (bool): If True, drop \"References\", \"Further reading\", and\n", " \"External links\" sections entirely.\n", " ignore_links (bool): If True, strip out all tags (leaving plain text).\n", "\n", " Returns:\n", " str: Markdown-formatted content of the main article body.\n", " \"\"\"\n", " # 1. Fetch raw HTML\n", " url = f\"https://{lang}.wikipedia.org/wiki/{title}\"\n", " print(f\"DEBUG: Fetching URL: {url}\")\n", " headers = {\n", " 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'\n", " }\n", " response = requests.get(url, headers=headers)\n", " response.raise_for_status()\n", " html = response.text\n", " print(f\"DEBUG: Fetched HTML, length: {len(html)}\")\n", "\n", " # Save the fetched HTML to a file for inspection\n", " with open(f\"fetched_wikipedia_page_{title}.html\", \"w\", encoding=\"utf-8\") as f:\n", " f.write(html)\n", " print(f\"DEBUG: Saved fetched HTML to fetched_wikipedia_page_{title}.html\")\n", "\n", "\n", " # DEBUG: Check raw HTML for a known headline span\n", " known_headline_html = ''\n", " if known_headline_html in html:\n", " print(f\"DEBUG: Raw HTML CONTAINS the string for '{known_headline_html}'.\")\n", " else:\n", " print(f\"DEBUG: Raw HTML DOES NOT CONTAIN the string for '{known_headline_html}'.\")\n", "\n", " # 2. Parse and get content_div\n", " print(\"DEBUG: Parsing HTML with BeautifulSoup (lxml)...\")\n", " soup = BeautifulSoup(html, \"lxml\")\n", " content_div = soup.find(\"div\", class_=\"mw-parser-output\")\n", " \n", " if content_div is None:\n", " print(\"DEBUG: 'mw-parser-output' div NOT FOUND in parsed soup.\")\n", " raise ValueError(f\"Could not find main content for page '{title}'\")\n", " else:\n", " print(f\"DEBUG: 'mw-parser-output' div FOUND. Object type: {type(content_div)}\")\n", "\n", " # DEBUG: Intensive check for 'mw-headline' spans within the initial content_div\n", " print(\"\\nDEBUG: --- Intensive check on initial content_div ---\")\n", " \n", " # Method 1: Direct find_all for the specific class\n", " initial_headline_spans = content_div.find_all(\"span\", class_=\"mw-headline\")\n", " print(f\"DEBUG: Method 1: content_div.find_all('span', class_='mw-headline') found {len(initial_headline_spans)} spans.\")\n", " if initial_headline_spans:\n", " print(f\"DEBUG: First few found by Method 1 (IDs): {[s.get('id') for s in initial_headline_spans[:5]]}\")\n", " \n", " # Method 2: Find by a known ID, then check class\n", " references_span_by_id = content_div.find(\"span\", id=\"References\")\n", " if references_span_by_id:\n", " print(f\"DEBUG: Method 2: Found span with id='References'. Its classes: {references_span_by_id.get('class')}\")\n", " if \"mw-headline\" in references_span_by_id.get(\"class\", []):\n", " print(\"DEBUG: Method 2: Span with id='References' HAS 'mw-headline' class.\")\n", " else:\n", " print(\"DEBUG: Method 2: Span with id='References' DOES NOT HAVE 'mw-headline' class.\")\n", " else:\n", " print(\"DEBUG: Method 2: Could not find span with id='References'.\")\n", "\n", " biography_span_by_id = content_div.find(\"span\", id=\"Biography\")\n", " if biography_span_by_id:\n", " print(f\"DEBUG: Method 2: Found span with id='Biography'. Its classes: {biography_span_by_id.get('class')}\")\n", " if \"mw-headline\" in biography_span_by_id.get(\"class\", []):\n", " print(\"DEBUG: Method 2: Span with id='Biography' HAS 'mw-headline' class.\")\n", " else:\n", " print(\"DEBUG: Method 2: Span with id='Biography' DOES NOT HAVE 'mw-headline' class.\")\n", " else:\n", " print(\"DEBUG: Method 2: Could not find span with id='Biography'.\")\n", "\n", " # Method 3: Iterate through H2/H3 tags and check their children\n", " print(\"DEBUG: Method 3: Checking H-tags (h2-h6) for 'mw-headline' spans...\")\n", " count_method_3 = 0\n", " found_ids_method_3 = []\n", " for h_tag in content_div.find_all([\"h2\", \"h3\", \"h4\", \"h5\", \"h6\"]):\n", " span = h_tag.find(\"span\", class_=\"mw-headline\")\n", " if span:\n", " count_method_3 += 1\n", " found_ids_method_3.append(span.get(\"id\", \"N/A\"))\n", " print(f\"DEBUG: Method 3: Found {count_method_3} 'mw-headline' spans within H-tags. IDs (first 5): {found_ids_method_3[:5]}\")\n", "\n", " if not initial_headline_spans and not (references_span_by_id and \"mw-headline\" in references_span_by_id.get(\"class\",[])) and count_method_3 == 0:\n", " print(\"DEBUG: ALL CHECKS FAILED to find 'mw-headline' spans in initial content_div.\")\n", " # Consider printing a larger portion of content_div if issues persist\n", " # print(\"DEBUG: Printing a larger portion of initial content_div (first 10000 chars) for manual inspection:\")\n", " # print(str(content_div.prettify())[:10000]) \n", " print(\"DEBUG: --- End of intensive check on initial content_div ---\\n\")\n", " \n", "\n", "\n", " # 2a. Remove \"[edit]\" links\n", " for edit_span in content_div.find_all(\"span\", class_=\"mw-editsection\"):\n", " edit_span.decompose()\n", "\n", " # 2b. Remove superscripted footnote markers\n", " for sup in content_div.find_all(\"sup\", class_=\"reference\"):\n", " sup.decompose()\n", "\n", " # 3. Remove unwanted elements\n", " # a) Infoboxes\n", " for infobox in content_div.find_all(\"table\", class_=re.compile(r\"infobox\")):\n", " infobox.decompose()\n", "\n", " # b) Table of Contents\n", " toc_element = content_div.find(\"div\", id=\"toc\") # Renamed to avoid conflict with variable 'toc' in your original code\n", " if toc_element:\n", " toc_element.decompose()\n", "\n", " # c) Navigation boxes and templates\n", " for nav in content_div.find_all([\"div\", \"table\"], class_=re.compile(r\"navbox|vertical-navbox|metadata\")):\n", " nav.decompose()\n", "\n", " # d) Thumbnails / image wrappers\n", " for thumb in content_div.find_all(\"div\", class_=re.compile(r\"thumb\")):\n", " thumb.decompose()\n", "\n", " # e) Remove raw tags\n", " for img_tag in content_div.find_all(\"img\"): # Renamed to avoid conflict\n", " img_tag.decompose()\n", "\n", " # 4. Convert every remaining into Markdown, in place\n", " def table_to_markdown(table_tag: Tag) -> str:\n", " \"\"\"\n", " Converts a
tag to a Markdown-formatted table, preserving any
headers.\n", " \"\"\"\n", " headers = []\n", " header_row = table_tag.find(\"tr\")\n", " if header_row:\n", " for th in header_row.find_all(\"th\"):\n", " headers.append(th.get_text(strip=True))\n", " md_table = \"\"\n", " if headers:\n", " md_table += \"| \" + \" | \".join(headers) + \" |\\n\"\n", " md_table += \"| \" + \" | \".join(\"---\" for _ in headers) + \" |\\n\"\n", " # Data rows (skip header row)\n", " for row in table_tag.find_all(\"tr\")[1:]:\n", " cells = row.find_all([\"td\", \"th\"])\n", " if not cells:\n", " continue\n", " row_texts = [cell.get_text(strip=True) for cell in cells]\n", " md_table += \"| \" + \" | \".join(row_texts) + \" |\\n\"\n", " return md_table.rstrip()\n", "\n", " for table in content_div.find_all(\"table\"):\n", " # Skip any tables already removed or used for navigation\n", " if \"infobox\" in table.get(\"class\", []) or table.get(\"role\") == \"navigation\":\n", " continue\n", " markdown_table = table_to_markdown(table) # :contentReference[oaicite:15]{index=15}\n", " new_node = soup.new_string(\"\\n\\n\" + markdown_table + \"\\n\\n\")\n", " table.replace_with(new_node)\n", "\n", " # 5. Remove \"References\", \"Further reading\", and \"External links\" sections if requested\n", " if ignore_references:\n", " print(\"\\nDEBUG: --- ignore_references is True ---\") # DEBUG\n", " target_sections = {\"references\", \"further reading\", \"external links\"}\n", " print(f\"DEBUG: Target section names: {target_sections}\") # DEBUG\n", " \n", " all_headline_spans = list(content_div.find_all(\"span\", class_=\"mw-headline\"))\n", " print(f\"DEBUG: Found {len(all_headline_spans)} 'mw-headline' spans in content_div.\") # DEBUG\n", " \n", " for i, span in enumerate(all_headline_spans):\n", " if not span.parent:\n", " # This span's parent was already removed from the tree.\n", " # print(f\"DEBUG: Span {i} ('{span.get_text(strip=True)[:30]}...') has no parent, skipping.\") # DEBUG\n", " continue\n", "\n", " heading_text = span.get_text(strip=True).lower()\n", " # Optionally, print all heading texts found to check for subtle differences:\n", " # print(f\"DEBUG: Checking span {i}: Extracted text: '{heading_text}' (Original ID: {span.get('id')})\") # DEBUG\n", "\n", " if heading_text in target_sections:\n", " print(f\"DEBUG: Matched target section: '{heading_text}' from span {i} (ID: {span.get('id')}).\") # DEBUG\n", " section_heading_tag = span.find_parent(re.compile(r\"^h[1-6]$\"))\n", "\n", " if not section_heading_tag:\n", " print(f\"DEBUG: No H-tag ancestor found for '{heading_text}'. Span HTML: {str(span.parent)[:100]}\") # DEBUG\n", " continue\n", " \n", " if not section_heading_tag.parent:\n", " print(f\"DEBUG: H-tag <{section_heading_tag.name}> for '{heading_text}' (ID: {section_heading_tag.get('id')}) was already decomposed. Skipping.\") # DEBUG\n", " continue\n", " \n", " print(f\"DEBUG: Found H-tag: <{section_heading_tag.name} id='{section_heading_tag.get('id')}'> for '{heading_text}'.\") # DEBUG\n", "\n", " try:\n", " current_section_level = int(section_heading_tag.name[1:])\n", " except (ValueError, IndexError):\n", " print(f\"DEBUG: Could not parse level from H-tag name '{section_heading_tag.name}'. Skipping.\") # DEBUG\n", " continue\n", "\n", " nodes_to_remove = []\n", " for sibling_node in section_heading_tag.find_next_siblings():\n", " if sibling_node.name and sibling_node.name.startswith('h'):\n", " try:\n", " sibling_level = int(sibling_node.name[1:])\n", " if sibling_level <= current_section_level:\n", " print(f\"DEBUG: Stopping content removal for '{heading_text}' at sibling <{sibling_node.name} id='{sibling_node.get('id')}'>.\") # DEBUG\n", " break \n", " except (ValueError, IndexError):\n", " pass \n", " nodes_to_remove.append(sibling_node)\n", " \n", " print(f\"DEBUG: For '{heading_text}', planning to remove {len(nodes_to_remove)} content nodes.\") # DEBUG\n", " for node_idx, node in enumerate(nodes_to_remove):\n", " if node.parent:\n", " # print(f\"DEBUG: Decomposing content node {node_idx} for '{heading_text}': <{node.name}>\") # DEBUG\n", " node.decompose()\n", " \n", " if section_heading_tag.parent:\n", " print(f\"DEBUG: Decomposing H-tag <{section_heading_tag.name} id='{section_heading_tag.get('id')}'> for '{heading_text}'.\") # DEBUG\n", " section_heading_tag.decompose()\n", " elif any(ts_part in heading_text for ts_part in [\"reference\", \"external\", \"further\", \"see also\", \"notes\"]): # DEBUG for near misses\n", " print(f\"DEBUG: Near miss? Span text: '{heading_text}' (ID: {span.get('id')})\") # DEBUG\n", "\n", "\n", " # 6. Convert remaining HTML in content_div to Markdown\n", " markdown_options = {}\n", " if ignore_links:\n", " markdown_options[\"strip\"] = [\"a\"] # strip all tags :contentReference[oaicite:18]{index=18}\n", " raw_html = \"\".join(str(child) for child in content_div.children)\n", " markdown_text = md(raw_html, **markdown_options) # :contentReference[oaicite:19]{index=19}\n", "\n", " # 7. Collapse runs of 3+ newlines into exactly two\n", " markdown_text = re.sub(r\"\\n{3,}\", \"\\n\\n\", markdown_text).strip()\n", "\n", " return markdown_text\n" ] }, { "cell_type": "code", "execution_count": 47, "id": "8099b9bc", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DEBUG: Fetching URL: https://en.wikipedia.org/wiki/Mercedes_Sosa\n", "DEBUG: Fetched HTML, length: 369275\n", "DEBUG: Saved fetched HTML to fetched_wikipedia_page_Mercedes_Sosa.html\n", "DEBUG: Raw HTML DOES NOT CONTAIN the string for ''.\n", "DEBUG: Parsing HTML with BeautifulSoup (lxml)...\n", "DEBUG: 'mw-parser-output' div FOUND. Object type: \n", "\n", "DEBUG: --- Intensive check on initial content_div ---\n", "DEBUG: Method 1: content_div.find_all('span', class_='mw-headline') found 0 spans.\n", "DEBUG: Method 2: Could not find span with id='References'.\n", "DEBUG: Method 2: Could not find span with id='Biography'.\n", "DEBUG: Method 3: Checking H-tags (h2-h6) for 'mw-headline' spans...\n", "DEBUG: Method 3: Found 0 'mw-headline' spans within H-tags. IDs (first 5): []\n", "DEBUG: ALL CHECKS FAILED to find 'mw-headline' spans in initial content_div.\n", "DEBUG: --- End of intensive check on initial content_div ---\n", "\n", "\n", "DEBUG: --- ignore_references is True ---\n", "DEBUG: Target section names: {'further reading', 'references', 'external links'}\n", "DEBUG: Found 0 'mw-headline' spans in content_div.\n" ] } ], "source": [ "md_page = get_wikipedia_markdown(\n", " 'Mercedes_Sosa',\n", " lang='en',\n", " ignore_references= True,\n", " ignore_links= True)" ] }, { "cell_type": "code", "execution_count": null, "id": "a921dfd2", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 51, "id": "d5b7deca", "metadata": {}, "outputs": [], "source": [ "import re\n", "import requests\n", "from bs4 import BeautifulSoup, Tag\n", "from markdownify import markdownify as md\n", "\n", "def get_wikipedia_markdown(\n", " title: str,\n", " lang: str = 'en',\n", " ignore_references: bool = True,\n", " ignore_links: bool = False\n", ") -> str:\n", " \"\"\"\n", " Fetches the main content of a Wikipedia page and returns it as Markdown,\n", " excluding infoboxes, navigation templates, images, and—if requested—the\n", " References, Further reading, and External links sections.\n", "\n", " Args:\n", " title (str): Wikipedia page title (e.g., \"Python_(programming_language)\").\n", " lang (str): Language code (default 'en').\n", " ignore_references (bool): If True, drop \"References\", \"Further reading\",\n", " and \"External links\" sections entirely.\n", " ignore_links (bool): If True, strip out all tags entirely.\n", "\n", " Returns:\n", " str: Markdown-formatted content of the main article body.\n", " \"\"\"\n", " # 1. Fetch raw HTML\n", " url = f\"https://{lang}.wikipedia.org/wiki/{title}\"\n", " response = requests.get(url)\n", " response.raise_for_status() # \n", " html = response.text\n", "\n", " # 2. Parse with BeautifulSoup and isolate the article’s main
\n", " soup = BeautifulSoup(html, \"lxml\")\n", " content_div = soup.find(\"div\", class_=\"mw-parser-output\") # \n", " if content_div is None:\n", " raise ValueError(f\"Could not find main content for page '{title}'\")\n", "\n", " # 2a. Remove all “[edit]” links ()\n", " for edit_span in content_div.find_all(\"span\", class_=\"mw-editsection\"):\n", " edit_span.decompose() # \n", "\n", " # 2b. Remove any superscripted footnote markers ()\n", " for sup in content_div.find_all(\"sup\", class_=\"reference\"):\n", " sup.decompose() # \n", "\n", " # 3. Remove unwanted “boilerplate” elements:\n", " # a) Infoboxes (sidebars)\n", " for infobox in content_div.find_all(\"table\", class_=re.compile(r\"infobox\")):\n", " infobox.decompose() # \n", "\n", " # b) Table of Contents\n", " toc = content_div.find(\"div\", id=\"toc\")\n", " if toc:\n", " toc.decompose() # \n", "\n", " # c) Navigation templates (navbox/vertical-navbox/metadata)\n", " for nav in content_div.find_all(\n", " [\"div\", \"table\"],\n", " class_=re.compile(r\"navbox|vertical-navbox|metadata\")\n", " ):\n", " nav.decompose() # \n", "\n", " # d) Thumbnails / image wrappers\n", " for thumb in content_div.find_all(\"div\", class_=re.compile(r\"thumb\")):\n", " thumb.decompose() # \n", "\n", " # e) Raw tags\n", " for img in content_div.find_all(\"img\"):\n", " img.decompose() # \n", "\n", " # 4. Convert any remaining into a Markdown table **in-place**\n", " def table_to_markdown(table_tag: Tag) -> str:\n", " \"\"\"\n", " Converts a
into a Markdown-formatted table, preserving if it was headers)\n", " for row in table_tag.find_all(\"tr\")[1:]:\n", " cells = row.find_all([\"td\", \"th\"])\n", " if not cells:\n", " continue\n", " row_texts = [cell.get_text(strip=True) for cell in cells]\n", " md_table += \"| \" + \" | \".join(row_texts) + \" |\\n\"\n", " return md_table.rstrip()\n", "\n", " for table in content_div.find_all(\"table\"):\n", " # Skip infobox/navigation tables (already removed above)\n", " if \"infobox\" in table.get(\"class\", []) or table.get(\"role\") == \"navigation\":\n", " continue\n", " markdown_table = table_to_markdown(table) # \n", " new_node = soup.new_string(\"\\n\\n\" + markdown_table + \"\\n\\n\")\n", " table.replace_with(new_node)\n", "\n", " # 5. Remove “References”, “Further reading” & “External links” sections if requested\n", " if ignore_references:\n", " # We look for the wrapper
or mw-heading3\n", " # that **contains** an

or

, etc.\n", " section_ids = {\"references\", \"further_reading\", \"external_links\"}\n", "\n", " # Find all wrapper divs whose class is “mw-heading mw-heading2” or “mw-heading mw-heading3”\n", " # Inside each wrapper, there’s typically an

or

.\n", " for wrapper in content_div.find_all(\"div\", class_=re.compile(r\"mw-heading mw-heading[23]\")):\n", " heading_tag = wrapper.find(re.compile(r\"^h[2-3]$\"))\n", " if heading_tag and heading_tag.get(\"id\", \"\").strip().lower() in section_ids:\n", " # Collect all siblings up to the next wrapper of the same form\n", " siblings_to_remove = []\n", " for sib in wrapper.find_next_siblings():\n", " # Stop once we hit the next section wrapper (another mw-heading mw-heading2/3)\n", " if (\n", " sib.name == \"div\"\n", " and \"mw-heading\" in (sib.get(\"class\") or [])\n", " and re.match(r\"mw-heading mw-heading[23]\", \" \".join(sib.get(\"class\")))\n", " ):\n", " break\n", " siblings_to_remove.append(sib)\n", "\n", " # Delete those siblings first (everything under “Further reading” or “References”)\n", " for node in siblings_to_remove:\n", " node.decompose() # \n", "\n", " # Finally delete the heading wrapper itself\n", " wrapper.decompose() # \n", "\n", " # 6. Convert the cleaned HTML into Markdown\n", " markdown_options = {}\n", " if ignore_links:\n", " markdown_options[\"strip\"] = [\"a\"] # strip all tags (keep only their text) \n", "\n", " raw_html = \"\".join(str(child) for child in content_div.children)\n", " markdown_text = md(raw_html, **markdown_options) # \n", "\n", " # 7. Collapse 3+ blank lines into exactly two\n", " markdown_text = re.sub(r\"\\n{3,}\", \"\\n\\n\", markdown_text).strip()\n", "\n", " return markdown_text\n" ] }, { "cell_type": "code", "execution_count": 52, "id": "c49861c5", "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "Argentine singer (1935–2009)\n", "\n", "Not to be confused with Mercedes Sola.\n", "\n", "**Haydée Mercedes** \"**La Negra**\" **Sosa** (Latin American Spanish: [meɾˈseðes ˈsosa]; 9 July 1935 – 4 October 2009) was an Argentine singer who was popular throughout Latin America and many countries outside the region. With her roots in Argentine folk music, Sosa became one of the preeminent exponents of *El nuevo cancionero*. She gave voice to songs written by many Latin American songwriters. Her music made people hail her as the \"voice of the voiceless ones\". She was often called \"the conscience of Latin America\".\n", "\n", "Sosa performed in venues such as the Lincoln Center in New York City, the Théâtre Mogador in Paris, the Sistine Chapel in Vatican City, as well as sold-out shows in New York's Carnegie Hall and the Roman Colosseum during her final decade of life. Her career spanned four decades and she was the recipient of six Latin Grammy awards (2000, 2003, 2004, 2006, 2009, 2011), including a Latin Grammy Lifetime Achievement Award in 2004 and two posthumous Latin Grammy Award for Best Folk Album in 2009 and 2011. She won the Premio Gardel in 2000, the main musical award in Argentina. She served as an ambassador for UNICEF.\n", "\n", "Life\n", "----\n", "\n", "Sosa was born on 9 July 1935, in San Miguel de Tucumán, in the northwestern Argentine province of Tucumán, of mestizo ancestry. She was of French, Spanish and Diaguita descent. Her nickname \"la negra\", which is a common nickname in Argentina for people with darker complexion, is a reference to her indigenous heritage. Her parents, a day laborer and a washerwoman, were Peronists, although they never registered in the party, and she started her career as a singer for the Peronist Party in Tucuman under the name Gladys Osorio. In 1950, at age fifteen, she won a singing competition organized by a local radio station and was given a contract to perform for two months. She recorded her first album, *La Voz de la Zafra*, in 1959. A performance at the 1965 Cosquín National Folklore Festival—where she was introduced and brought to the stage while sitting in the audience by fellow folk singer Jorge Cafrune— brought her to the attention of the Argentine public. Sosa and her first husband, Manuel Oscar Matus, with whom she had one son, were key players in the mid-60s *nueva canción* movement (which was called *nuevo cancionero* in Argentina). Her second record was *Canciones con Fundamento*, a collection of Argentine folk songs.\n", "\n", "Sosa with Félix Luna and Ariel Ramírez (at the piano)\n", "\n", "Sosa \"spent the late 1960s building her audience in Europe and among the cosmopolitan middle class in Buenos Aires, becoming in the process a much bigger star\" than her contemporaries. In 1967, Sosa toured the United States and Europe with great success.[*citation needed*] In later years, she performed and recorded extensively, broadening her repertoire to include material from throughout Latin America.\n", "\n", "In the early 1970s, Sosa released two concept albums in collaboration with composer Ariel Ramírez and lyricist Félix Luna: *Cantata Sudamericana* and *Mujeres Argentinas* (Argentine Women). She also recorded a tribute to Chilean musician Violeta Parra in 1971, including what was to become one of Sosa's signature songs, *Gracias a la vida*. She further popularized of songs written by Milton Nascimento of Brazil and Pablo Milanés and Silvio Rodríguez both from Cuba. Throughout the decade, she released albums such as *Hasta la Victoria* in 1972 and *Traigo un Pueblo* *en mi Voz* in 1973. They featured songs like \"Cuando tenga la tierra\", written by Ariel Petrocelli and Daniel Toro, which tackles political and social issues like wealth and land inequality. During the 1970s she was a part of two films by the director Leopoldo Torre Nilsson: *El Santo de la Espada* in 1970 and *Güemes, la tierra en armas* in 1971, in which she portrayed Juana Azurduy de Padilla, the guerrilla military leader who fought for Argentine independence.\n", "\n", "Sosa in 1972\n", "\n", "After the military junta of Jorge Videla came to power in 1976, the atmosphere in Argentina grew increasingly oppressive. Sosa faced death threats against both her and her family, but refused for many years to leave the country. At a concert in La Plata in 1979, Sosa was searched and arrested on stage, along with all those attending the concert. Their release came about through international intervention. Despite attempts to hold more concerts, she was officially barred from performing by the military regime. Banned in her own country, she moved to Paris and then to Madrid. She has spoken publicly about her artistic and emotional struggles during this period of her life. While in exile, she released the album *A Quien Doy* in 1981. The album included a recording of the song \"Cuando Me Acuerdo de Mi Pais\" which was originally written by the prolific Chilean singer/songwriter, Patricio Manns. The song, which he wrote while also in political exile, expresses the sorrow he felt from being separated from his homeland. She related to this feeling and struggled to continue recording and performing. In an interview with the New York Times, she said, “It was a mental problem, a problem of morale...It wasn’t my throat, or anything physical\".\n", "\n", "Sosa returned to Argentina from her exile in Europe in February 1982, several months before the military regime collapsed as a result of the Falklands War, and gave a series of concerts at the *Teatro Ópera* in Buenos Aires, where she invited many of her younger colleagues to share the stage. A double album of recordings from these performances became an instant best seller. She then traveled to perform in her home province of Tucuman. However, these performances were largely ignored by mainstream media in the country. In subsequent years, Sosa continued to tour both in Argentina and abroad, performing in such venues as the Lincoln Center in New York City and the *Théâtre Mogador* in Paris. In poor health for much of the 1990s, she performed a comeback show in Argentina in 1998. In 1994, she played in the Sistine Chapel in Vatican City. In 2002, she sold out both Carnegie Hall in New York and the Colosseum in Rome in the same year.\n", "\n", "Sosa in 1973\n", "\n", "A supporter of Perón, she favored leftist causes throughout her life. She supported President Raul Alfonsin in the election of 1983 which marked the return of democracy in Argentina following the dictatorship. She referred to this election as \"Argentina's Spring\" She opposed President Carlos Menem, who was in office from 1989 to 1999, and supported the election of Néstor Kirchner, who became president in 2003.\n", "Sosa was a UNESCO Goodwill Ambassador for Latin America and the Caribbean.\n", "\n", "Sosa disliked being identified as a protest singer. While she was outright in her political stances, Sosa said the following on the position of the artist:\n", "\n", "> “An artist isn’t political in the party political sense – they have a constituency, which is their public – it is the poetry that matters most of all.”\n", "\n", "In a career spanning four decades, she worked with performers across several genres and generations, folk, opera, pop, rock, including Martha Argerich, Andrea Bocelli, David Broza, Franco Battiato, Jaime Roos, Joan Baez, Francis Cabrel, Gal Costa, Luz Casal, Lila Downs, Lucio Dalla, Maria Farantouri, Lucecita Benitez, Nilda Fernández, Charly Garcia, León Gieco, Gian Marco, Nana Mouskouri, Pablo Milanés, Holly Near, Milton Nascimento, Pata Negra, Fito Páez, Franco De Vita, Lourdes Pérez, Luciano Pavarotti, Silvio Rodríguez, Ismael Serrano, Shakira, Sting, Caetano Veloso, Julieta Venegas, Gustavo Cerati and Konstantin Wecker\n", "\n", "Sosa participated in a 1999 production of Ariel Ramírez's *Misa Criolla*. Her song *Balderrama* is featured in the 2008 movie *Che*, starring Benicio del Toro as the Argentine Marxist revolutionary Che Guevara.\n", "\n", "Sosa was the co-chair of the Earth Charter International Commission.\n", "\n", "Awards\n", "------\n", "\n", "Sosa won the Latin Grammy Award for Best Folk Album in 2000 (*Misa Criolla*), 2003 (*Acústico*), 2006 (*Corazón Libre*), 2009 (*Cantora 1*, which also won Best Recording Package and was nominated for Album of the Year), and 2011 (*Deja La Vida Volar*), as well as several international awards.\n", "\n", "In 1995, Konex Foundation from Argentina granted her the Diamond Konex Award, one of the most prestigious awards in Argentina, as the most important personality in the popular music of her country in the last decade.\n", "\n", "Death\n", "-----\n", "\n", "Mercedes Sosa lying in repose, with her family and President Cristina Fernández de Kirchner viewing\n", "\n", "Suffering from recurrent endocrine and respiratory problems in later years, the 74-year-old Sosa was hospitalized in Buenos Aires on 18 September 2009. She died from multiple organ failure on 4 October 2009, at 5:15 am. She is survived by one son, Fabián Matus, born of her first marriage. He said: \"She lived her 74 years to the fullest. She had done practically everything she wanted, she didn't have any type of barrier or any type of fear that limited her\". The hospital expressed its sympathies to her relatives. Her website featured the following: \"Her undisputed talent, her honesty and her profound convictions leave a great legacy to future generations\".\n", "\n", "Her body was placed on display at the National Congress building in Buenos Aires for the public to pay their respects, and President Fernández de Kirchner ordered three days of national mourning. Thousands had queued by the end of the day.\n", "\n", "Sosa's obituary in *The Daily Telegraph* said she was \"an unrivalled interpreter of works by her compatriot, the Argentine Atahualpa Yupanqui, and Chile's Violeta Parra\". Helen Popper of Reuters reported her death by saying she \"fought South America's dictators with her voice and became a giant of contemporary Latin American music\". Sosa received three Latin Grammy nominations for her album, in 2009 . She went on to win Best Folk Album about a month after her death.\n", "\n", "Tributes\n", "--------\n", "\n", "In 2019, Sosa was celebrated by a Google Doodle. The doodle was showcased in Argentina, Chile, Uruguay, Paraguay, Bolivia, Peru, Ecuador, Cuba, Iceland, Sweden, Serbia, Greece, Israel and Vietnam.\n", "\n", "In 2023, *Rolling Stone* ranked Sosa at number 160 on its list of the 200 Greatest Singers of All Time.\n", "\n", "Discography\n", "-----------\n", "\n", "Sosa in 2005, with Argentina's then-First Lady (later president from 2007 to 2015), Cristina Fernández de Kirchner\n", "\n", "Sosa recorded forty albums.\n", "\n", "### Studio albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1962 | La Voz De La ZafraLabel: RCA |\n", "| 1965 | Canciones Con FundamentoLabel: El Grillo |\n", "| 1966 | HermanoLabel: Philips |\n", "| 1966 | Yo No Canto Por CantarLabel: Philips |\n", "| 1967 | Para Cantarle A Mi GenteLabel: Philips |\n", "| 1968 | Con Sabor A Mercedes SosaLabel: Philips |\n", "| 1969 | Mujeres ArgentinasLabel: Philips |\n", "| 1970 | El Grito De La TierraLabel: Philips |\n", "| 1970 | Navidad Con Mercedes SosaLabel: Philips |\n", "| 1971 | Homenaje a Violeta ParraLabel: Philips |\n", "| 1972 | Hasta La VictoriaLabel: Philips |\n", "| 1972 | Cantata SudamericanaLabel: Philips |\n", "| 1973 | Traigo Un Pueblo En Mi VozLabel: Philips |\n", "| 1975 | A Que Florezca Mi PuebloLabel: Philips |\n", "| 1976 | En Dirección Del VientoLabel: Philips |\n", "| 1977 | Mercedes Sosa Interpreta A Atahualpa YupanquiLabel: Philips |\n", "| 1979 | Serenata Para La Tierra De UnoLabel: Philips |\n", "| 1981 | A Quien Doy / Cuando Me Acuerdo de Mi PaísLabel: Philips |\n", "| 1982 | Como Un Pájaro LibreLabel: Philips |\n", "| 1983 | Mercedes SosaLabel: Philips |\n", "| 1984 | ¿Será Posible El Sur?Label: Philips |\n", "| 1985 | Vengo A Ofrecer Mi CorazónLabel: Philips |\n", "| 1986 | Mercedes Sosa '86Label: Philips |\n", "| 1987 | Mercedes Sosa '87Label: Philips |\n", "| 1993 | SinoLabel: Philips/Polygram |\n", "| 1994 | Gestos De AmorLabel: Polydor |\n", "| 1996 | Escondido En Mi PaísLabel: Polydor |\n", "| 1997 | Alta Fidelidad(w/Charly García)Label: Mercury |\n", "| 1998 | Al DespertarLabel: Mercury |\n", "| 1999 | Misa CriollaLabel: Mercury |\n", "| 2005 | Corazón LibreLabel: Edge |\n", "| 2009 | Cantora 1(w/various artists)Label: RCA |\n", "| 2009 | Cantora 2(w/various artists)Label: RCA |\n", "| 2011 | CensuradaLabel: Philips |\n", "| 2015 | LuceritoLabel: RCA |\n", "\n", "### EPs\n", "\n", "| Year | EP details |\n", "| --- | --- |\n", "| 1975 | Niño De MañanaLabel: Philips |\n", "\n", "### Live albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1973 | Si Se Calla El Cantor(with Gloria Martin)Label: Philips |\n", "| 1980 | Gravado Ao Vivo No BrasilLabel: Philips |\n", "| 1982 | Mercedes Sosa en ArgentinaLabel: Phonogram/Philips |\n", "| 1985 | Corazón Americano(withMilton Nascimento&León Gieco)Label: Philips |\n", "| 1989 | Live in EuropeLabel: Tropical Music/Polygram Argentina |\n", "| 1991 | De MíLabel: Philips |\n", "| 2002 | Acústico En VivoLabel: Sony Music Argentina |\n", "| 2003 | Argentina Quiere Cantar(withVíctor Heredia&León Gieco)Label: Odeon/EMI |\n", "| 2010 | Deja La Vida Volar (En Gira)Label: RCA |\n", "| 2014 | AngelLabel: Universal Music |\n", "| 2024 | En vivo en el Gran Rex 2006Label: INAMU Discos |\n", "| Mercedes Sosa en Nueva York, 1974Label: Sony Music Argentina |\n", "\n", "### Compilation albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1975 | Disco De OroLabel: Philips |\n", "| 1983 | RecitalLabel: Philips |\n", "| 1988 | Amigos MíosLabel: Philips |\n", "| 1993 | 30 AñosLabel: Polygram Argentina |\n", "| 1995 | OroLabel: Polygram |\n", "| 1997 | The Best Of Mercedes SosaLabel: Mercury |\n", "| 2013 | Siempre En TiLabel: Universal Music |\n", "\n", "Filmography\n", "-----------\n", "\n", "* *Güemes, la tierra en armas* (1971)\n", "* *Argentinísima* (1972)\n", "* *Esta es mi Argentina* (1974)\n", "* *Mercedes Sosa, como un pájaro libre* (1983)\n", "* *Será possible el sur: Mercedes Sosa* (1985)\n", "* *Historias de Argentina en vivo* (2001)\n", "\n", "NewPP limit report\n", "Parsed by mw‐api‐ext.eqiad.main‐655cc685c8‐xdg6t\n", "Cached time: 20250603141506\n", "Cache expiry: 2592000\n", "Reduced expiry: false\n", "Complications: [vary‐revision‐sha1, show‐toc]\n", "CPU time usage: 1.359 seconds\n", "Real time usage: 1.721 seconds\n", "Preprocessor visited node count: 6973/1000000\n", "Revision size: 29435/2097152 bytes\n", "Post‐expand include size: 288001/2097152 bytes\n", "Template argument size: 6520/2097152 bytes\n", "Highest expansion depth: 20/100\n", "Expensive parser function count: 8/500\n", "Unstrip recursion depth: 1/20\n", "Unstrip post‐expand size: 166311/5000000 bytes\n", "Lua time usage: 0.741/10.000 seconds\n", "Lua memory usage: 16760866/52428800 bytes\n", "Number of Wikibase entities loaded: 1/500\n", "Transclusion expansion time report (%,ms,calls,template)\n", "100.00% 1305.662 1 -total\n", "29.52% 385.448 1 Template:Reflist\n", "20.38% 266.073 1 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Rendering was triggered because: api-parse" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from IPython.display import display, Markdown\n", "\n", "md_page = get_wikipedia_markdown(\n", " 'Mercedes_Sosa',\n", " lang='en',\n", " ignore_references= True,\n", " ignore_links= True)\n", "\n", "display(Markdown(md_page)) " ] }, { "cell_type": "code", "execution_count": 53, "id": "edaf5451", "metadata": {}, "outputs": [], "source": [ "import re\n", "import requests\n", "from bs4 import BeautifulSoup, Tag\n", "from markdownify import markdownify as md\n", "\n", "def get_wikipedia_markdown(\n", " title: str,\n", " lang: str = 'en',\n", " ignore_references: bool = True,\n", " ignore_links: bool = False\n", ") -> str:\n", " \"\"\"\n", " Fetches the main content of a Wikipedia page and returns it as Markdown,\n", " excluding infoboxes, navigation templates, images, and—if requested—the\n", " References, Further reading, and External links sections. Additionally,\n", " removes any parser‐debug footer (e.g., “NewPP limit report …”) that may\n", " appear at the end.\n", "\n", " Args:\n", " title (str): Wikipedia page title (e.g., \"Mercedes_Sosa\").\n", " lang (str): Language code (default 'en').\n", " ignore_references (bool): If True, drop \"References\", \"Further reading\",\n", " and \"External links\" sections entirely.\n", " ignore_links (bool): If True, strip out all tags entirely.\n", "\n", " Returns:\n", " str: Markdown-formatted content of the main article body.\n", " \"\"\"\n", " # 1. Fetch raw HTML\n", " url = f\"https://{lang}.wikipedia.org/wiki/{title}\"\n", " response = requests.get(url)\n", " response.raise_for_status() # \n", " html = response.text\n", "\n", " # 2. Parse with BeautifulSoup and isolate the article’s main
\n", " soup = BeautifulSoup(html, \"lxml\")\n", " content_div = soup.find(\"div\", class_=\"mw-parser-output\") # \n", " if content_div is None:\n", " raise ValueError(f\"Could not find main content for page '{title}'\")\n", "\n", " # 2a. Remove all “[edit]” links (…)\n", " for edit_span in content_div.find_all(\"span\", class_=\"mw-editsection\"):\n", " edit_span.decompose() # \n", "\n", " # 2b. Remove any superscript footnote markers (…)\n", " for sup in content_div.find_all(\"sup\", class_=\"reference\"):\n", " sup.decompose() # \n", "\n", " # 2c. Remove any parser‐debug footer text (e.g., “NewPP limit report …”)\n", " # This often appears as a single NavigableString inside content_div at the end.\n", " for debug_text in content_div.find_all(text=lambda t: t and \"NewPP limit report\" in t):\n", " debug_text.extract() # \n", "\n", " # 3. Remove unwanted “boilerplate” elements:\n", " # a) Infoboxes (sidebars)\n", " for infobox in content_div.find_all(\"table\", class_=re.compile(r\"infobox\")):\n", " infobox.decompose() # \n", "\n", " # b) Table of Contents\n", " toc = content_div.find(\"div\", id=\"toc\")\n", " if toc:\n", " toc.decompose() # \n", "\n", " # c) Navigation templates (navbox/vertical-navbox/metadata)\n", " for nav in content_div.find_all(\n", " [\"div\", \"table\"],\n", " class_=re.compile(r\"navbox|vertical-navbox|metadata\")\n", " ):\n", " nav.decompose() # \n", "\n", " # d) Thumbnails / image wrappers\n", " for thumb in content_div.find_all(\"div\", class_=re.compile(r\"thumb\")):\n", " thumb.decompose() # \n", "\n", " # e) Raw tags\n", " for img in content_div.find_all(\"img\"):\n", " img.decompose() # \n", "\n", " # 4. Convert any remaining

headers.\n", " \"\"\"\n", " headers = []\n", " header_row = table_tag.find(\"tr\")\n", " if header_row:\n", " for th in header_row.find_all(\"th\"):\n", " headers.append(th.get_text(strip=True))\n", " md_table = \"\"\n", " if headers:\n", " md_table += \"| \" + \" | \".join(headers) + \" |\\n\"\n", " md_table += \"| \" + \" | \".join(\"---\" for _ in headers) + \" |\\n\"\n", " # Now process data rows (skip first
into a Markdown table **in-place**\n", " def table_to_markdown(table_tag: Tag) -> str:\n", " \"\"\"\n", " Converts a
into a Markdown-formatted table, preserving if it was header row)\n", " for row in table_tag.find_all(\"tr\")[1:]:\n", " cells = row.find_all([\"td\", \"th\"])\n", " if not cells:\n", " continue\n", " row_texts = [cell.get_text(strip=True) for cell in cells]\n", " md_table += \"| \" + \" | \".join(row_texts) + \" |\\n\"\n", " return md_table.rstrip()\n", "\n", " for table in content_div.find_all(\"table\"):\n", " # Skip infobox/navigation tables (already removed above)\n", " if \"infobox\" in table.get(\"class\", []) or table.get(\"role\") == \"navigation\":\n", " continue\n", " markdown_table = table_to_markdown(table) # \n", " new_node = soup.new_string(\"\\n\\n\" + markdown_table + \"\\n\\n\")\n", " table.replace_with(new_node)\n", "\n", " # 5. Remove “References”, “Further reading” & “External links” sections if requested\n", " if ignore_references:\n", " section_ids = {\"references\", \"further_reading\", \"external_links\"}\n", " # We look for wrapper
or mw-heading3\n", " for wrapper in content_div.find_all(\"div\", class_=re.compile(r\"mw-heading mw-heading[23]\")):\n", " heading_tag = wrapper.find(re.compile(r\"^h[2-3]$\"))\n", " if heading_tag and heading_tag.get(\"id\", \"\").strip().lower() in section_ids:\n", " # Collect every sibling until the next wrapper of the same form\n", " siblings_to_remove = []\n", " for sib in wrapper.find_next_siblings():\n", " if (\n", " sib.name == \"div\"\n", " and \"mw-heading\" in (sib.get(\"class\") or [])\n", " and re.match(r\"mw-heading mw-heading[23]\", \" \".join(sib.get(\"class\") or []))\n", " ):\n", " break\n", " siblings_to_remove.append(sib)\n", " # First delete those siblings\n", " for node in siblings_to_remove:\n", " node.decompose() # \n", " # Finally delete the wrapper itself\n", " wrapper.decompose() # \n", "\n", " # 6. Convert the cleaned HTML into Markdown\n", " markdown_options = {}\n", " if ignore_links:\n", " markdown_options[\"strip\"] = [\"a\"] # strip all tags (keep only their text) \n", "\n", " raw_html = \"\".join(str(child) for child in content_div.children)\n", " markdown_text = md(raw_html, **markdown_options) # \n", "\n", " # 7. Collapse 3+ blank lines into exactly two\n", " markdown_text = re.sub(r\"\\n{3,}\", \"\\n\\n\", markdown_text).strip()\n", "\n", " return markdown_text\n" ] }, { "cell_type": "code", "execution_count": 54, "id": "0a55f5b3", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_457384/3554226647.py:51: DeprecationWarning: The 'text' argument to find()-type methods is deprecated. Use 'string' instead.\n", " for debug_text in content_div.find_all(text=lambda t: t and \"NewPP limit report\" in t):\n" ] }, { "data": { "text/markdown": [ "Argentine singer (1935–2009)\n", "\n", "Not to be confused with Mercedes Sola.\n", "\n", "**Haydée Mercedes** \"**La Negra**\" **Sosa** (Latin American Spanish: [meɾˈseðes ˈsosa]; 9 July 1935 – 4 October 2009) was an Argentine singer who was popular throughout Latin America and many countries outside the region. With her roots in Argentine folk music, Sosa became one of the preeminent exponents of *El nuevo cancionero*. She gave voice to songs written by many Latin American songwriters. Her music made people hail her as the \"voice of the voiceless ones\". She was often called \"the conscience of Latin America\".\n", "\n", "Sosa performed in venues such as the Lincoln Center in New York City, the Théâtre Mogador in Paris, the Sistine Chapel in Vatican City, as well as sold-out shows in New York's Carnegie Hall and the Roman Colosseum during her final decade of life. Her career spanned four decades and she was the recipient of six Latin Grammy awards (2000, 2003, 2004, 2006, 2009, 2011), including a Latin Grammy Lifetime Achievement Award in 2004 and two posthumous Latin Grammy Award for Best Folk Album in 2009 and 2011. She won the Premio Gardel in 2000, the main musical award in Argentina. She served as an ambassador for UNICEF.\n", "\n", "Life\n", "----\n", "\n", "Sosa was born on 9 July 1935, in San Miguel de Tucumán, in the northwestern Argentine province of Tucumán, of mestizo ancestry. She was of French, Spanish and Diaguita descent. Her nickname \"la negra\", which is a common nickname in Argentina for people with darker complexion, is a reference to her indigenous heritage. Her parents, a day laborer and a washerwoman, were Peronists, although they never registered in the party, and she started her career as a singer for the Peronist Party in Tucuman under the name Gladys Osorio. In 1950, at age fifteen, she won a singing competition organized by a local radio station and was given a contract to perform for two months. She recorded her first album, *La Voz de la Zafra*, in 1959. A performance at the 1965 Cosquín National Folklore Festival—where she was introduced and brought to the stage while sitting in the audience by fellow folk singer Jorge Cafrune— brought her to the attention of the Argentine public. Sosa and her first husband, Manuel Oscar Matus, with whom she had one son, were key players in the mid-60s *nueva canción* movement (which was called *nuevo cancionero* in Argentina). Her second record was *Canciones con Fundamento*, a collection of Argentine folk songs.\n", "\n", "Sosa with Félix Luna and Ariel Ramírez (at the piano)\n", "\n", "Sosa \"spent the late 1960s building her audience in Europe and among the cosmopolitan middle class in Buenos Aires, becoming in the process a much bigger star\" than her contemporaries. In 1967, Sosa toured the United States and Europe with great success.[*citation needed*] In later years, she performed and recorded extensively, broadening her repertoire to include material from throughout Latin America.\n", "\n", "In the early 1970s, Sosa released two concept albums in collaboration with composer Ariel Ramírez and lyricist Félix Luna: *Cantata Sudamericana* and *Mujeres Argentinas* (Argentine Women). She also recorded a tribute to Chilean musician Violeta Parra in 1971, including what was to become one of Sosa's signature songs, *Gracias a la vida*. She further popularized of songs written by Milton Nascimento of Brazil and Pablo Milanés and Silvio Rodríguez both from Cuba. Throughout the decade, she released albums such as *Hasta la Victoria* in 1972 and *Traigo un Pueblo* *en mi Voz* in 1973. They featured songs like \"Cuando tenga la tierra\", written by Ariel Petrocelli and Daniel Toro, which tackles political and social issues like wealth and land inequality. During the 1970s she was a part of two films by the director Leopoldo Torre Nilsson: *El Santo de la Espada* in 1970 and *Güemes, la tierra en armas* in 1971, in which she portrayed Juana Azurduy de Padilla, the guerrilla military leader who fought for Argentine independence.\n", "\n", "Sosa in 1972\n", "\n", "After the military junta of Jorge Videla came to power in 1976, the atmosphere in Argentina grew increasingly oppressive. Sosa faced death threats against both her and her family, but refused for many years to leave the country. At a concert in La Plata in 1979, Sosa was searched and arrested on stage, along with all those attending the concert. Their release came about through international intervention. Despite attempts to hold more concerts, she was officially barred from performing by the military regime. Banned in her own country, she moved to Paris and then to Madrid. She has spoken publicly about her artistic and emotional struggles during this period of her life. While in exile, she released the album *A Quien Doy* in 1981. The album included a recording of the song \"Cuando Me Acuerdo de Mi Pais\" which was originally written by the prolific Chilean singer/songwriter, Patricio Manns. The song, which he wrote while also in political exile, expresses the sorrow he felt from being separated from his homeland. She related to this feeling and struggled to continue recording and performing. In an interview with the New York Times, she said, “It was a mental problem, a problem of morale...It wasn’t my throat, or anything physical\".\n", "\n", "Sosa returned to Argentina from her exile in Europe in February 1982, several months before the military regime collapsed as a result of the Falklands War, and gave a series of concerts at the *Teatro Ópera* in Buenos Aires, where she invited many of her younger colleagues to share the stage. A double album of recordings from these performances became an instant best seller. She then traveled to perform in her home province of Tucuman. However, these performances were largely ignored by mainstream media in the country. In subsequent years, Sosa continued to tour both in Argentina and abroad, performing in such venues as the Lincoln Center in New York City and the *Théâtre Mogador* in Paris. In poor health for much of the 1990s, she performed a comeback show in Argentina in 1998. In 1994, she played in the Sistine Chapel in Vatican City. In 2002, she sold out both Carnegie Hall in New York and the Colosseum in Rome in the same year.\n", "\n", "Sosa in 1973\n", "\n", "A supporter of Perón, she favored leftist causes throughout her life. She supported President Raul Alfonsin in the election of 1983 which marked the return of democracy in Argentina following the dictatorship. She referred to this election as \"Argentina's Spring\" She opposed President Carlos Menem, who was in office from 1989 to 1999, and supported the election of Néstor Kirchner, who became president in 2003.\n", "Sosa was a UNESCO Goodwill Ambassador for Latin America and the Caribbean.\n", "\n", "Sosa disliked being identified as a protest singer. While she was outright in her political stances, Sosa said the following on the position of the artist:\n", "\n", "> “An artist isn’t political in the party political sense – they have a constituency, which is their public – it is the poetry that matters most of all.”\n", "\n", "In a career spanning four decades, she worked with performers across several genres and generations, folk, opera, pop, rock, including Martha Argerich, Andrea Bocelli, David Broza, Franco Battiato, Jaime Roos, Joan Baez, Francis Cabrel, Gal Costa, Luz Casal, Lila Downs, Lucio Dalla, Maria Farantouri, Lucecita Benitez, Nilda Fernández, Charly Garcia, León Gieco, Gian Marco, Nana Mouskouri, Pablo Milanés, Holly Near, Milton Nascimento, Pata Negra, Fito Páez, Franco De Vita, Lourdes Pérez, Luciano Pavarotti, Silvio Rodríguez, Ismael Serrano, Shakira, Sting, Caetano Veloso, Julieta Venegas, Gustavo Cerati and Konstantin Wecker\n", "\n", "Sosa participated in a 1999 production of Ariel Ramírez's *Misa Criolla*. Her song *Balderrama* is featured in the 2008 movie *Che*, starring Benicio del Toro as the Argentine Marxist revolutionary Che Guevara.\n", "\n", "Sosa was the co-chair of the Earth Charter International Commission.\n", "\n", "Awards\n", "------\n", "\n", "Sosa won the Latin Grammy Award for Best Folk Album in 2000 (*Misa Criolla*), 2003 (*Acústico*), 2006 (*Corazón Libre*), 2009 (*Cantora 1*, which also won Best Recording Package and was nominated for Album of the Year), and 2011 (*Deja La Vida Volar*), as well as several international awards.\n", "\n", "In 1995, Konex Foundation from Argentina granted her the Diamond Konex Award, one of the most prestigious awards in Argentina, as the most important personality in the popular music of her country in the last decade.\n", "\n", "Death\n", "-----\n", "\n", "Mercedes Sosa lying in repose, with her family and President Cristina Fernández de Kirchner viewing\n", "\n", "Suffering from recurrent endocrine and respiratory problems in later years, the 74-year-old Sosa was hospitalized in Buenos Aires on 18 September 2009. She died from multiple organ failure on 4 October 2009, at 5:15 am. She is survived by one son, Fabián Matus, born of her first marriage. He said: \"She lived her 74 years to the fullest. She had done practically everything she wanted, she didn't have any type of barrier or any type of fear that limited her\". The hospital expressed its sympathies to her relatives. Her website featured the following: \"Her undisputed talent, her honesty and her profound convictions leave a great legacy to future generations\".\n", "\n", "Her body was placed on display at the National Congress building in Buenos Aires for the public to pay their respects, and President Fernández de Kirchner ordered three days of national mourning. Thousands had queued by the end of the day.\n", "\n", "Sosa's obituary in *The Daily Telegraph* said she was \"an unrivalled interpreter of works by her compatriot, the Argentine Atahualpa Yupanqui, and Chile's Violeta Parra\". Helen Popper of Reuters reported her death by saying she \"fought South America's dictators with her voice and became a giant of contemporary Latin American music\". Sosa received three Latin Grammy nominations for her album, in 2009 . She went on to win Best Folk Album about a month after her death.\n", "\n", "Tributes\n", "--------\n", "\n", "In 2019, Sosa was celebrated by a Google Doodle. The doodle was showcased in Argentina, Chile, Uruguay, Paraguay, Bolivia, Peru, Ecuador, Cuba, Iceland, Sweden, Serbia, Greece, Israel and Vietnam.\n", "\n", "In 2023, *Rolling Stone* ranked Sosa at number 160 on its list of the 200 Greatest Singers of All Time.\n", "\n", "Discography\n", "-----------\n", "\n", "Sosa in 2005, with Argentina's then-First Lady (later president from 2007 to 2015), Cristina Fernández de Kirchner\n", "\n", "Sosa recorded forty albums.\n", "\n", "### Studio albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1962 | La Voz De La ZafraLabel: RCA |\n", "| 1965 | Canciones Con FundamentoLabel: El Grillo |\n", "| 1966 | HermanoLabel: Philips |\n", "| 1966 | Yo No Canto Por CantarLabel: Philips |\n", "| 1967 | Para Cantarle A Mi GenteLabel: Philips |\n", "| 1968 | Con Sabor A Mercedes SosaLabel: Philips |\n", "| 1969 | Mujeres ArgentinasLabel: Philips |\n", "| 1970 | El Grito De La TierraLabel: Philips |\n", "| 1970 | Navidad Con Mercedes SosaLabel: Philips |\n", "| 1971 | Homenaje a Violeta ParraLabel: Philips |\n", "| 1972 | Hasta La VictoriaLabel: Philips |\n", "| 1972 | Cantata SudamericanaLabel: Philips |\n", "| 1973 | Traigo Un Pueblo En Mi VozLabel: Philips |\n", "| 1975 | A Que Florezca Mi PuebloLabel: Philips |\n", "| 1976 | En Dirección Del VientoLabel: Philips |\n", "| 1977 | Mercedes Sosa Interpreta A Atahualpa YupanquiLabel: Philips |\n", "| 1979 | Serenata Para La Tierra De UnoLabel: Philips |\n", "| 1981 | A Quien Doy / Cuando Me Acuerdo de Mi PaísLabel: Philips |\n", "| 1982 | Como Un Pájaro LibreLabel: Philips |\n", "| 1983 | Mercedes SosaLabel: Philips |\n", "| 1984 | ¿Será Posible El Sur?Label: Philips |\n", "| 1985 | Vengo A Ofrecer Mi CorazónLabel: Philips |\n", "| 1986 | Mercedes Sosa '86Label: Philips |\n", "| 1987 | Mercedes Sosa '87Label: Philips |\n", "| 1993 | SinoLabel: Philips/Polygram |\n", "| 1994 | Gestos De AmorLabel: Polydor |\n", "| 1996 | Escondido En Mi PaísLabel: Polydor |\n", "| 1997 | Alta Fidelidad(w/Charly García)Label: Mercury |\n", "| 1998 | Al DespertarLabel: Mercury |\n", "| 1999 | Misa CriollaLabel: Mercury |\n", "| 2005 | Corazón LibreLabel: Edge |\n", "| 2009 | Cantora 1(w/various artists)Label: RCA |\n", "| 2009 | Cantora 2(w/various artists)Label: RCA |\n", "| 2011 | CensuradaLabel: Philips |\n", "| 2015 | LuceritoLabel: RCA |\n", "\n", "### EPs\n", "\n", "| Year | EP details |\n", "| --- | --- |\n", "| 1975 | Niño De MañanaLabel: Philips |\n", "\n", "### Live albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1973 | Si Se Calla El Cantor(with Gloria Martin)Label: Philips |\n", "| 1980 | Gravado Ao Vivo No BrasilLabel: Philips |\n", "| 1982 | Mercedes Sosa en ArgentinaLabel: Phonogram/Philips |\n", "| 1985 | Corazón Americano(withMilton Nascimento&León Gieco)Label: Philips |\n", "| 1989 | Live in EuropeLabel: Tropical Music/Polygram Argentina |\n", "| 1991 | De MíLabel: Philips |\n", "| 2002 | Acústico En VivoLabel: Sony Music Argentina |\n", "| 2003 | Argentina Quiere Cantar(withVíctor Heredia&León Gieco)Label: Odeon/EMI |\n", "| 2010 | Deja La Vida Volar (En Gira)Label: RCA |\n", "| 2014 | AngelLabel: Universal Music |\n", "| 2024 | En vivo en el Gran Rex 2006Label: INAMU Discos |\n", "| Mercedes Sosa en Nueva York, 1974Label: Sony Music Argentina |\n", "\n", "### Compilation albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1975 | Disco De OroLabel: Philips |\n", "| 1983 | RecitalLabel: Philips |\n", "| 1988 | Amigos MíosLabel: Philips |\n", "| 1993 | 30 AñosLabel: Polygram Argentina |\n", "| 1995 | OroLabel: Polygram |\n", "| 1997 | The Best Of Mercedes SosaLabel: Mercury |\n", "| 2013 | Siempre En TiLabel: Universal Music |\n", "\n", "Filmography\n", "-----------\n", "\n", "* *Güemes, la tierra en armas* (1971)\n", "* *Argentinísima* (1972)\n", "* *Esta es mi Argentina* (1974)\n", "* *Mercedes Sosa, como un pájaro libre* (1983)\n", "* *Será possible el sur: Mercedes Sosa* (1985)\n", "* *Historias de Argentina en vivo* (2001)\n", "\n", "Transclusion expansion time report (%,ms,calls,template)\n", "100.00% 1305.662 1 -total\n", "29.52% 385.448 1 Template:Reflist\n", "20.38% 266.073 1 Template:Infobox\\_person\n", "9.77% 127.503 20 Template:Cite\\_web\n", "8.75% 114.217 5 Template:Cite\\_book\n", "8.41% 109.751 1 Template:In\\_lang\n", "7.34% 95.784 1 Template:Infobox\\_musical\\_artist\n", "7.02% 91.627 2 Template:Short\\_description\n", "6.76% 88.198 6 Template:Br\\_separated\\_entries\n", "6.03% 78.712 1 Template:Mercedes\\_Sosa\n", "Saved in parser cache with key enwiki:pcache:476992:|#|:idhash:canonical and timestamp 20250603141506 and revision id 1293758111. Rendering was triggered because: api-parse" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from IPython.display import display, Markdown\n", "\n", "md_page = get_wikipedia_markdown(\n", " 'Mercedes_Sosa',\n", " lang='en',\n", " ignore_references= True,\n", " ignore_links= True)\n", "\n", "display(Markdown(md_page)) " ] }, { "cell_type": "code", "execution_count": 95, "id": "f8c6c14a", "metadata": {}, "outputs": [], "source": [ "import re\n", "import requests\n", "from bs4 import BeautifulSoup, Tag, Comment\n", "from markdownify import markdownify as md\n", "\n", "@tool\n", "def get_wikipedia_markdown(\n", " title: str,\n", " lang: str = 'en',\n", " ignore_references: bool = True,\n", " ignore_links: bool = True\n", ") -> str:\n", " \"\"\"\n", " Fetches the main content of a Wikipedia page and returns it as Markdown,\n", " excluding infoboxes, navigation templates, images, and—if requested—the\n", " References, Further reading, and External links sections. It's recommended\n", " to start with ignore_references=True and ignore_links=True \n", " to reduce the amount of output to the pure infomation.\n", "\n", " Args:\n", " title (str): Wikipedia page title (e.g., \"Mercedes_Sosa\").\n", " lang (str): Language code (default 'en').\n", " ignore_references (bool): If True, drop \"References\", \"Further reading\",\n", " and \"External links\" sections entirely.\n", " ignore_links (bool): If True, strip out all tags entirely.\n", "\n", " Returns:\n", " str: Markdown-formatted content of the main article body.\n", " \"\"\"\n", " # 1. Fetch raw HTML\n", " url = f\"https://{lang}.wikipedia.org/wiki/{title}\"\n", " try:\n", " response = requests.get(url)\n", " response.raise_for_status() \n", " except requests.exceptions.HTTPError as e:\n", "\n", " # use wikipedia's API to check if the page exists\n", " api_url = f\"https://{lang}.wikipedia.org/w/api.php\"\n", " search_params = {\n", " 'list': 'search',\n", " 'srprop': '',\n", " 'srlimit': 10,\n", " 'limit': 10,\n", " 'srsearch': title.replace(\"_\", \" \"),\n", " 'srinfo': 'suggestion',\n", " 'format': 'json',\n", " 'action': 'query'\n", " }\n", "\n", " headers = {\n", " 'User-Agent': \"mozilla /5.0 (Windows NT 10.0; Win64; x64)\"\n", " }\n", "\n", " r = requests.get(api_url, params=search_params, headers=headers)\n", "\n", " raw_results = r.json()\n", " search_results = [d['title'].replace(\" \", \"_\") for d in raw_results['query']['search']]\n", " if ('searchinfo' in raw_results['query']) and ('suggestion' in raw_results['query']['searchinfo']):\n", " search_results.insert(0, raw_results['query']['searchinfo']['suggestion'].replace(\" \", \"_\"))\n", "\n", " errorMsg = f\"Could not fetch page '{title}' for language '{lang}' (HTTP {response.status_code}).\"\n", " if search_results:\n", " errorMsg += f\" Did you mean one of these pages? {', '.join(search_results)}\"\n", "\n", " raise ValueError(errorMsg) from e\n", "\n", " html = response.text\n", "\n", " # 2. Parse with BeautifulSoup and isolate the article’s main
\n", " soup = BeautifulSoup(html, \"lxml\")\n", " content_div = soup.find(\"div\", class_=\"mw-parser-output\") # \n", " if content_div is None:\n", " raise ValueError(f\"Could not find main content for page '{title}'\")\n", "\n", " # 2a. Remove all “[edit]” links (…)\n", " for edit_span in content_div.find_all(\"span\", class_=\"mw-editsection\"):\n", " edit_span.decompose() # \n", "\n", " # 2b. Remove any superscript footnote markers (…)\n", " for sup in content_div.find_all(\"sup\", class_=\"reference\"):\n", " sup.decompose() # \n", "\n", " # 2c. Remove any parser‐debug comments (e.g., “NewPP limit report…”, “Transclusion expansion time report…”)\n", " for comment in content_div.find_all(string=lambda text: isinstance(text, Comment)):\n", " comment_text = str(comment)\n", " # If the comment contains debug keywords, extract it\n", " if (\n", " \"NewPP limit report\" in comment_text\n", " or \"Transclusion expansion time report\" in comment_text\n", " or \"Saved in parser cache\" in comment_text\n", " ):\n", " comment.extract() # \n", "\n", " # 3. Remove unwanted “boilerplate” elements:\n", " # a) Infoboxes (sidebars)\n", " for infobox in content_div.find_all(\"table\", class_=re.compile(r\"infobox\")):\n", " infobox.decompose() # \n", "\n", " # b) Table of Contents\n", " toc = content_div.find(\"div\", id=\"toc\")\n", " if toc:\n", " toc.decompose() # \n", "\n", " # c) Navigation templates (navbox/vertical-navbox/metadata)\n", " for nav in content_div.find_all(\n", " [\"div\", \"table\"],\n", " class_=re.compile(r\"navbox|vertical-navbox|metadata\")\n", " ):\n", " nav.decompose() # \n", "\n", " # d) Thumbnails / image wrappers\n", " for thumb in content_div.find_all(\"div\", class_=re.compile(r\"thumb\")):\n", " thumb.decompose() # \n", "\n", " # e) Raw tags\n", " for img in content_div.find_all(\"img\"):\n", " img.decompose() # \n", "\n", " # 4. Convert any remaining
headers.\n", " \"\"\"\n", " headers = []\n", " header_row = table_tag.find(\"tr\")\n", " if header_row:\n", " for th in header_row.find_all(\"th\"):\n", " headers.append(th.get_text(strip=True))\n", " md_table = \"\"\n", " if headers:\n", " md_table += \"| \" + \" | \".join(headers) + \" |\\n\"\n", " md_table += \"| \" + \" | \".join(\"---\" for _ in headers) + \" |\\n\"\n", " # Now process data rows (skip the first
into a Markdown table **in-place**\n", " def table_to_markdown(table_tag: Tag) -> str:\n", " \"\"\"\n", " Converts a
into a Markdown-formatted table, preserving if it was header row)\n", " for row in table_tag.find_all(\"tr\")[1:]:\n", " cells = row.find_all([\"td\", \"th\"])\n", " if not cells:\n", " continue\n", " row_texts = [cell.get_text(strip=True) for cell in cells]\n", " md_table += \"| \" + \" | \".join(row_texts) + \" |\\n\"\n", " return md_table.rstrip()\n", "\n", " for table in content_div.find_all(\"table\"):\n", " # Skip infobox/navigation tables (already removed above)\n", " if \"infobox\" in table.get(\"class\", []) or table.get(\"role\") == \"navigation\":\n", " continue\n", " markdown_table = table_to_markdown(table) # \n", " new_node = soup.new_string(\"\\n\\n\" + markdown_table + \"\\n\\n\")\n", " table.replace_with(new_node)\n", "\n", " # 5. Remove “References”, “Further reading” & “External links” sections if requested\n", " if ignore_references:\n", " section_ids = {\"references\", \"further_reading\", \"external_links\"}\n", " # We look for wrapper
or mw-heading3\n", " for wrapper in content_div.find_all(\"div\", class_=re.compile(r\"mw-heading mw-heading[23]\")):\n", " heading_tag = wrapper.find(re.compile(r\"^h[2-3]$\"))\n", " if heading_tag and heading_tag.get(\"id\", \"\").strip().lower() in section_ids:\n", " # Collect every sibling until the next wrapper of the same form\n", " siblings_to_remove = []\n", " for sib in wrapper.find_next_siblings():\n", " if (\n", " sib.name == \"div\"\n", " and \"mw-heading\" in (sib.get(\"class\") or [])\n", " and re.match(r\"mw-heading mw-heading[23]\", \" \".join(sib.get(\"class\") or []))\n", " ):\n", " break\n", " siblings_to_remove.append(sib)\n", " # First delete those siblings\n", " for node in siblings_to_remove:\n", " node.decompose() # \n", " # Finally delete the wrapper itself\n", " wrapper.decompose() # \n", "\n", " # 6. Convert the cleaned HTML into Markdown\n", " markdown_options = {}\n", " if ignore_links:\n", " markdown_options[\"strip\"] = [\"a\"] # strip all tags (keep only their text) \n", "\n", " raw_html = \"\".join(str(child) for child in content_div.children)\n", " markdown_text = md(raw_html, **markdown_options) # \n", "\n", " # 7. Collapse 3+ blank lines into exactly two\n", " markdown_text = re.sub(r\"\\n{3,}\", \"\\n\\n\", markdown_text).strip()\n", "\n", " return markdown_text\n" ] }, { "cell_type": "code", "execution_count": 97, "id": "05d4bddf", "metadata": {}, "outputs": [ { "ename": "ValueError", "evalue": "Could not fetch page 'USA_Obama' for language 'en' (HTTP 404). Did you mean one of these pages? Barack_Obama, United_States_presidential_approval_rating, Family_of_Barack_Obama, Michelle_Obama, List_of_people_granted_executive_clemency_by_Barack_Obama, Presidency_of_Barack_Obama, Barack_Obama_citizenship_conspiracy_theories, Barack_Obama_2008_presidential_campaign, Renegades:_Born_in_the_USA, Barack_Obama_Presidential_Center", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mHTTPError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[95], line 34\u001b[0m, in \u001b[0;36mget_wikipedia_markdown\u001b[0;34m(title, lang, ignore_references, ignore_links)\u001b[0m\n\u001b[1;32m 33\u001b[0m response \u001b[38;5;241m=\u001b[39m requests\u001b[38;5;241m.\u001b[39mget(url)\n\u001b[0;32m---> 34\u001b[0m \u001b[43mresponse\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_for_status\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m \n\u001b[1;32m 35\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m requests\u001b[38;5;241m.\u001b[39mexceptions\u001b[38;5;241m.\u001b[39mHTTPError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 36\u001b[0m \n\u001b[1;32m 37\u001b[0m \u001b[38;5;66;03m# use wikipedia's API to check if the page exists\u001b[39;00m\n", "File \u001b[0;32m~/mambaforge/envs/GaiaAgent/lib/python3.10/site-packages/requests/models.py:1024\u001b[0m, in \u001b[0;36mResponse.raise_for_status\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1023\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m http_error_msg:\n\u001b[0;32m-> 1024\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HTTPError(http_error_msg, response\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m)\n", "\u001b[0;31mHTTPError\u001b[0m: 404 Client Error: Not Found for url: https://en.wikipedia.org/wiki/USA_Obama", "\nThe above exception was the direct cause of the following exception:\n", "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[97], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m md_page \u001b[38;5;241m=\u001b[39m \u001b[43mget_wikipedia_markdown\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mUSA_Obama\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mlang\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43men\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43mignore_references\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mignore_links\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/mambaforge/envs/GaiaAgent/lib/python3.10/site-packages/smolagents/tools.py:205\u001b[0m, in \u001b[0;36mTool.__call__\u001b[0;34m(self, sanitize_inputs_outputs, *args, **kwargs)\u001b[0m\n\u001b[1;32m 203\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m sanitize_inputs_outputs:\n\u001b[1;32m 204\u001b[0m args, kwargs \u001b[38;5;241m=\u001b[39m handle_agent_input_types(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m--> 205\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mforward\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 206\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m sanitize_inputs_outputs:\n\u001b[1;32m 207\u001b[0m outputs \u001b[38;5;241m=\u001b[39m handle_agent_output_types(outputs, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moutput_type)\n", "File \u001b[0;32m~/mambaforge/envs/GaiaAgent/lib/python3.10/site-packages/smolagents/tools.py:937\u001b[0m, in \u001b[0;36mtool..wrapped_function\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 935\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(tool_function)\n\u001b[1;32m 936\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mwrapped_function\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m--> 937\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mtool_function\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", "Cell \u001b[0;32mIn[95], line 65\u001b[0m, in \u001b[0;36mget_wikipedia_markdown\u001b[0;34m(title, lang, ignore_references, ignore_links)\u001b[0m\n\u001b[1;32m 62\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m search_results:\n\u001b[1;32m 63\u001b[0m errorMsg \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m Did you mean one of these pages? \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(search_results)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m---> 65\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(errorMsg) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01me\u001b[39;00m\n\u001b[1;32m 67\u001b[0m html \u001b[38;5;241m=\u001b[39m response\u001b[38;5;241m.\u001b[39mtext\n\u001b[1;32m 69\u001b[0m \u001b[38;5;66;03m# 2. Parse with BeautifulSoup and isolate the article’s main
\u001b[39;00m\n", "\u001b[0;31mValueError\u001b[0m: Could not fetch page 'USA_Obama' for language 'en' (HTTP 404). Did you mean one of these pages? Barack_Obama, United_States_presidential_approval_rating, Family_of_Barack_Obama, Michelle_Obama, List_of_people_granted_executive_clemency_by_Barack_Obama, Presidency_of_Barack_Obama, Barack_Obama_citizenship_conspiracy_theories, Barack_Obama_2008_presidential_campaign, Renegades:_Born_in_the_USA, Barack_Obama_Presidential_Center" ] } ], "source": [ "md_page = get_wikipedia_markdown(\n", " 'USA_Obama',\n", " lang='en',\n", " ignore_references= False,\n", " ignore_links= False)\n" ] }, { "cell_type": "code", "execution_count": 98, "id": "6897c2c4", "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "Argentine singer (1935–2009)\n", "\n", "Not to be confused with [Mercedes Sola](/wiki/Mercedes_Sola \"Mercedes Sola\").\n", "\n", "**Haydée Mercedes** \"**La Negra**\" **Sosa** (Latin American Spanish: [[meɾˈseðes ˈsosa]](/wiki/Help:IPA/Spanish \"Help:IPA/Spanish\"); 9 July 1935 – 4 October 2009) was an [Argentine](/wiki/Argentines \"Argentines\") singer who was popular throughout [Latin America](/wiki/Latin_America \"Latin America\") and many countries outside the region. With her roots in [Argentine folk music](/wiki/Folk_music_of_Argentina \"Folk music of Argentina\"), Sosa became one of the preeminent exponents of *El nuevo cancionero*. She gave voice to songs written by many Latin American songwriters. Her music made people hail her as the \"voice of the voiceless ones\". She was often called \"the conscience of Latin America\".\n", "\n", "Sosa performed in venues such as the [Lincoln Center](/wiki/Lincoln_Center \"Lincoln Center\") in New York City, the [Théâtre Mogador](/wiki/Th%C3%A9%C3%A2tre_Mogador \"Théâtre Mogador\") in Paris, the [Sistine Chapel](/wiki/Sistine_Chapel \"Sistine Chapel\") in Vatican City, as well as sold-out shows in New York's [Carnegie Hall](/wiki/Carnegie_Hall \"Carnegie Hall\") and the Roman [Colosseum](/wiki/Colosseum \"Colosseum\") during her final decade of life. Her career spanned four decades and she was the recipient of six [Latin Grammy](/wiki/Latin_Grammy \"Latin Grammy\") awards (2000, 2003, 2004, 2006, 2009, 2011), including a [Latin Grammy Lifetime Achievement Award](/wiki/Latin_Grammy_Lifetime_Achievement_Award \"Latin Grammy Lifetime Achievement Award\") in 2004 and two posthumous [Latin Grammy Award for Best Folk Album](/wiki/Latin_Grammy_Award_for_Best_Folk_Album \"Latin Grammy Award for Best Folk Album\") in 2009 and 2011. She won the [Premio Gardel](/wiki/Premios_Gardel \"Premios Gardel\") in 2000, the main musical award in Argentina. She served as an ambassador for [UNICEF](/wiki/UNICEF \"UNICEF\").\n", "\n", "Life\n", "----\n", "\n", "Sosa was born on 9 July 1935, in [San Miguel de Tucumán](/wiki/San_Miguel_de_Tucum%C3%A1n \"San Miguel de Tucumán\"), in the [northwestern Argentine](/wiki/Argentine_Northwest \"Argentine Northwest\") province of [Tucumán](/wiki/Tucum%C3%A1n_Province \"Tucumán Province\"), of [mestizo](/wiki/Mestizo \"Mestizo\") ancestry. She was of French, Spanish and [Diaguita](/wiki/Diaguita \"Diaguita\") descent. Her nickname \"la negra\", which is a common nickname in Argentina for people with darker complexion, is a reference to her indigenous heritage. Her parents, a day laborer and a washerwoman, were [Peronists](/wiki/Peronism \"Peronism\"), although they never registered in the party, and she started her career as a singer for the [Peronist Party](/wiki/Peronist_Party \"Peronist Party\") in [Tucuman](/wiki/Tucum%C3%A1n_Province \"Tucumán Province\") under the name Gladys Osorio. In 1950, at age fifteen, she won a singing competition organized by a local radio station and was given a contract to perform for two months. She recorded her first album, *[La Voz de la Zafra](/wiki/La_voz_de_la_zafra \"La voz de la zafra\")*, in 1959. A performance at the 1965 [Cosquín National Folklore Festival](/wiki/Cosqu%C3%ADn_Festival \"Cosquín Festival\")—where she was introduced and brought to the stage while sitting in the audience by fellow folk singer [Jorge Cafrune](/wiki/Jorge_Cafrune \"Jorge Cafrune\")— brought her to the attention of the Argentine public. Sosa and her first husband, [Manuel Oscar Matus](/w/index.php?title=Manuel_Oscar_Matus&action=edit&redlink=1 \"Manuel Oscar Matus (page does not exist)\"), with whom she had one son, were key players in the mid-60s *[nueva canción](/wiki/Nueva_canci%C3%B3n \"Nueva canción\")* movement (which was called *nuevo cancionero* in Argentina). Her second record was *Canciones con Fundamento*, a collection of Argentine folk songs.\n", "\n", "Sosa with [Félix Luna](/wiki/F%C3%A9lix_Luna \"Félix Luna\") and [Ariel Ramírez](/wiki/Ariel_Ram%C3%ADrez \"Ariel Ramírez\") (at the piano)\n", "\n", "Sosa \"spent the late 1960s building her audience in Europe and among the cosmopolitan middle class in Buenos Aires, becoming in the process a much bigger star\" than her contemporaries. In 1967, Sosa toured the United States and Europe with great success.[*[citation needed](/wiki/Wikipedia:Citation_needed \"Wikipedia:Citation needed\")*] In later years, she performed and recorded extensively, broadening her repertoire to include material from throughout Latin America.\n", "\n", "In the early 1970s, Sosa released two concept albums in collaboration with composer [Ariel Ramírez](/wiki/Ariel_Ram%C3%ADrez \"Ariel Ramírez\") and lyricist [Félix Luna](/wiki/F%C3%A9lix_Luna \"Félix Luna\"): *Cantata Sudamericana* and *Mujeres Argentinas* (Argentine Women). She also recorded a tribute to Chilean musician [Violeta Parra](/wiki/Violeta_Parra \"Violeta Parra\") in 1971, including what was to become one of Sosa's signature songs, *[Gracias a la vida](/wiki/Gracias_a_la_vida \"Gracias a la vida\")*. She further popularized of songs written by [Milton Nascimento](/wiki/Milton_Nascimento \"Milton Nascimento\") of Brazil and [Pablo Milanés](/wiki/Pablo_Milan%C3%A9s \"Pablo Milanés\") and [Silvio Rodríguez](/wiki/Silvio_Rodr%C3%ADguez \"Silvio Rodríguez\") both from [Cuba](/wiki/Cuba \"Cuba\"). Throughout the decade, she released albums such as *Hasta la Victoria* in 1972 and *Traigo un Pueblo* *en mi Voz* in 1973. They featured songs like \"Cuando tenga la tierra\", written by [Ariel Petrocelli](/w/index.php?title=Ariel_Petrocelli&action=edit&redlink=1 \"Ariel Petrocelli (page does not exist)\") and Daniel Toro, which tackles political and social issues like wealth and land inequality. During the 1970s she was a part of two films by the director [Leopoldo Torre Nilsson](/wiki/Leopoldo_Torre_Nilsson \"Leopoldo Torre Nilsson\"): *[El Santo de la Espada](/wiki/El_Santo_de_la_Espada \"El Santo de la Espada\")* in 1970 and *[Güemes, la tierra en armas](/wiki/G%C3%BCemes:_la_tierra_en_armas \"Güemes: la tierra en armas\")* in 1971, in which she portrayed [Juana Azurduy de Padilla](/wiki/Juana_Azurduy_de_Padilla \"Juana Azurduy de Padilla\"), the guerrilla military leader who fought for Argentine independence.\n", "\n", "Sosa in 1972\n", "\n", "After the [military junta](/wiki/National_Reorganization_Process \"National Reorganization Process\") of [Jorge Videla](/wiki/Jorge_Videla \"Jorge Videla\") came to power in 1976, the atmosphere in Argentina grew increasingly oppressive. Sosa faced death threats against both her and her family, but refused for many years to leave the country. At a concert in [La Plata](/wiki/La_Plata \"La Plata\") in 1979, Sosa was searched and arrested on stage, along with all those attending the concert. Their release came about through international intervention. Despite attempts to hold more concerts, she was officially barred from performing by the military regime. Banned in her own country, she moved to Paris and then to [Madrid](/wiki/Madrid \"Madrid\"). She has spoken publicly about her artistic and emotional struggles during this period of her life. While in exile, she released the album *A Quien Doy* in 1981. The album included a recording of the song \"Cuando Me Acuerdo de Mi Pais\" which was originally written by the prolific Chilean singer/songwriter, [Patricio Manns](/wiki/Patricio_Manns \"Patricio Manns\"). The song, which he wrote while also in political exile, expresses the sorrow he felt from being separated from his homeland. She related to this feeling and struggled to continue recording and performing. In an interview with the New York Times, she said, “It was a mental problem, a problem of morale...It wasn’t my throat, or anything physical\".\n", "\n", "Sosa returned to Argentina from her exile in Europe in February 1982, several months before the military regime collapsed as a result of the [Falklands War](/wiki/Falklands_War \"Falklands War\"), and gave a series of concerts at the *[Teatro Ópera](/wiki/Teatro_Opera \"Teatro Opera\")* in Buenos Aires, where she invited many of her younger colleagues to share the stage. A double album of recordings from these performances became an instant best seller. She then traveled to perform in her home province of Tucuman. However, these performances were largely ignored by mainstream media in the country. In subsequent years, Sosa continued to tour both in Argentina and abroad, performing in such venues as the [Lincoln Center](/wiki/Lincoln_Center \"Lincoln Center\") in New York City and the *[Théâtre Mogador](/wiki/Th%C3%A9%C3%A2tre_Mogador \"Théâtre Mogador\")* in Paris. In poor health for much of the 1990s, she performed a comeback show in Argentina in 1998. In 1994, she played in the [Sistine Chapel](/wiki/Sistine_Chapel \"Sistine Chapel\") in Vatican City. In 2002, she sold out both [Carnegie Hall](/wiki/Carnegie_Hall \"Carnegie Hall\") in New York and the [Colosseum](/wiki/Colosseum \"Colosseum\") in Rome in the same year.\n", "\n", "Sosa in 1973\n", "\n", "A supporter of [Perón](/wiki/Juan_Per%C3%B3n \"Juan Perón\"), she favored leftist causes throughout her life. She supported President [Raul Alfonsin](/wiki/Ra%C3%BAl_Alfons%C3%ADn \"Raúl Alfonsín\") in the election of 1983 which marked the return of democracy in Argentina following the dictatorship. She referred to this election as \"Argentina's Spring\" She opposed President [Carlos Menem](/wiki/Carlos_Menem \"Carlos Menem\"), who was in office from 1989 to 1999, and supported the election of [Néstor Kirchner](/wiki/N%C3%A9stor_Kirchner \"Néstor Kirchner\"), who became president in 2003.\n", "Sosa was a [UNESCO Goodwill Ambassador](/wiki/UNESCO_Goodwill_Ambassador \"UNESCO Goodwill Ambassador\") for Latin America and the Caribbean.\n", "\n", "Sosa disliked being identified as a protest singer. While she was outright in her political stances, Sosa said the following on the position of the artist:\n", "\n", "> “An artist isn’t political in the party political sense – they have a constituency, which is their public – it is the poetry that matters most of all.”\n", "\n", "In a career spanning four decades, she worked with performers across several genres and generations, folk, opera, pop, rock, including [Martha Argerich](/wiki/Martha_Argerich \"Martha Argerich\"), [Andrea Bocelli](/wiki/Andrea_Bocelli \"Andrea Bocelli\"), [David Broza](/wiki/David_Broza \"David Broza\"), [Franco Battiato](/wiki/Franco_Battiato \"Franco Battiato\"), [Jaime Roos](/wiki/Jaime_Roos \"Jaime Roos\"), [Joan Baez](/wiki/Joan_Baez \"Joan Baez\"), [Francis Cabrel](/wiki/Francis_Cabrel \"Francis Cabrel\"), [Gal Costa](/wiki/Gal_Costa \"Gal Costa\"), [Luz Casal](/wiki/Luz_Casal \"Luz Casal\"), [Lila Downs](/wiki/Lila_Downs \"Lila Downs\"), [Lucio Dalla](/wiki/Lucio_Dalla \"Lucio Dalla\"), [Maria Farantouri](/wiki/Maria_Farantouri \"Maria Farantouri\"), [Lucecita Benitez](/wiki/Lucecita_Benitez \"Lucecita Benitez\"), [Nilda Fernández](/wiki/Nilda_Fern%C3%A1ndez \"Nilda Fernández\"), [Charly Garcia](/wiki/Charly_Garcia \"Charly Garcia\"), [León Gieco](/wiki/Le%C3%B3n_Gieco \"León Gieco\"), [Gian Marco](/wiki/Gian_Marco \"Gian Marco\"), [Nana Mouskouri](/wiki/Nana_Mouskouri \"Nana Mouskouri\"), [Pablo Milanés](/wiki/Pablo_Milan%C3%A9s \"Pablo Milanés\"), [Holly Near](/wiki/Holly_Near \"Holly Near\"), [Milton Nascimento](/wiki/Milton_Nascimento \"Milton Nascimento\"), [Pata Negra](/wiki/Pata_Negra \"Pata Negra\"), [Fito Páez](/wiki/Fito_P%C3%A1ez \"Fito Páez\"), [Franco De Vita](/wiki/Franco_De_Vita \"Franco De Vita\"), [Lourdes Pérez](/wiki/Lourdes_P%C3%A9rez \"Lourdes Pérez\"), [Luciano Pavarotti](/wiki/Luciano_Pavarotti \"Luciano Pavarotti\"), [Silvio Rodríguez](/wiki/Silvio_Rodr%C3%ADguez \"Silvio Rodríguez\"), [Ismael Serrano](/wiki/Ismael_Serrano \"Ismael Serrano\"), [Shakira](/wiki/Shakira \"Shakira\"), [Sting](/wiki/Sting_(musician) \"Sting (musician)\"), [Caetano Veloso](/wiki/Caetano_Veloso \"Caetano Veloso\"), [Julieta Venegas](/wiki/Julieta_Venegas \"Julieta Venegas\"), [Gustavo Cerati](/wiki/Gustavo_Cerati \"Gustavo Cerati\") and [Konstantin Wecker](/wiki/Konstantin_Wecker \"Konstantin Wecker\")\n", "\n", "Sosa participated in a 1999 production of [Ariel Ramírez](/wiki/Ariel_Ram%C3%ADrez \"Ariel Ramírez\")'s *Misa Criolla*. Her song *Balderrama* is featured in the 2008 movie *[Che](/wiki/Che_(2008_film) \"Che (2008 film)\")*, starring [Benicio del Toro](/wiki/Benicio_del_Toro \"Benicio del Toro\") as the Argentine [Marxist](/wiki/Marxist \"Marxist\") revolutionary [Che Guevara](/wiki/Che_Guevara \"Che Guevara\").\n", "\n", "Sosa was the co-chair of the [Earth Charter](/wiki/Earth_Charter \"Earth Charter\") International Commission.\n", "\n", "Awards\n", "------\n", "\n", "Sosa won the [Latin Grammy Award for Best Folk Album](/wiki/Latin_Grammy_Award_for_Best_Folk_Album \"Latin Grammy Award for Best Folk Album\") in 2000 (*Misa Criolla*), 2003 (*Acústico*), 2006 (*Corazón Libre*), 2009 (*[Cantora 1](/wiki/Cantora,_un_Viaje_%C3%8Dntimo \"Cantora, un Viaje Íntimo\")*, which also won [Best Recording Package](/wiki/Latin_Grammy_Award_for_Best_Recording_Package \"Latin Grammy Award for Best Recording Package\") and was nominated for [Album of the Year](/wiki/Latin_Grammy_Award_for_Album_of_the_Year \"Latin Grammy Award for Album of the Year\")), and 2011 (*Deja La Vida Volar*), as well as several international awards.\n", "\n", "In 1995, [Konex Foundation](/wiki/Konex_Foundation \"Konex Foundation\") from Argentina granted her the Diamond [Konex Award](/wiki/Konex_Award \"Konex Award\"), one of the most prestigious awards in Argentina, as the most important personality in the popular music of her country in the last decade.\n", "\n", "Death\n", "-----\n", "\n", "Mercedes Sosa lying in repose, with her family and President [Cristina Fernández de Kirchner](/wiki/Cristina_Fern%C3%A1ndez_de_Kirchner \"Cristina Fernández de Kirchner\") viewing\n", "\n", "Suffering from recurrent [endocrine](/wiki/Endocrine_system \"Endocrine system\") and [respiratory](/wiki/Respiratory_system \"Respiratory system\") problems in later years, the 74-year-old Sosa was hospitalized in Buenos Aires on 18 September 2009. She died from [multiple organ failure](/wiki/Multiple_organ_failure \"Multiple organ failure\") on 4 October 2009, at 5:15 am. She is survived by one son, Fabián Matus, born of her first marriage. He said: \"She lived her 74 years to the fullest. She had done practically everything she wanted, she didn't have any type of barrier or any type of fear that limited her\". The hospital expressed its sympathies to her relatives. Her website featured the following: \"Her undisputed talent, her honesty and her profound convictions leave a great legacy to future generations\".\n", "\n", "Her body was placed on display at the [National Congress](/wiki/Argentine_National_Congress \"Argentine National Congress\") building in Buenos Aires for the public to pay their respects, and President Fernández de Kirchner ordered three days of national mourning. Thousands had queued by the end of the day.\n", "\n", "Sosa's obituary in *[The Daily Telegraph](/wiki/The_Daily_Telegraph \"The Daily Telegraph\")* said she was \"an unrivalled interpreter of works by her compatriot, the Argentine [Atahualpa Yupanqui](/wiki/Atahualpa_Yupanqui \"Atahualpa Yupanqui\"), and Chile's [Violeta Parra](/wiki/Violeta_Parra \"Violeta Parra\")\". Helen Popper of [Reuters](/wiki/Reuters \"Reuters\") reported her death by saying she \"fought South America's dictators with her voice and became a giant of contemporary Latin American music\". Sosa received three [Latin Grammy](/wiki/Latin_Grammy \"Latin Grammy\") nominations for her album, in 2009 . She went on to win Best Folk Album about a month after her death.\n", "\n", "Tributes\n", "--------\n", "\n", "In 2019, Sosa was celebrated by a [Google Doodle](/wiki/Google_Doodle \"Google Doodle\"). The doodle was showcased in [Argentina](/wiki/Argentina \"Argentina\"), [Chile](/wiki/Chile \"Chile\"), [Uruguay](/wiki/Uruguay \"Uruguay\"), [Paraguay](/wiki/Paraguay \"Paraguay\"), [Bolivia](/wiki/Bolivia \"Bolivia\"), [Peru](/wiki/Peru \"Peru\"), [Ecuador](/wiki/Ecuador \"Ecuador\"), [Cuba](/wiki/Cuba \"Cuba\"), [Iceland](/wiki/Iceland \"Iceland\"), Sweden, [Serbia](/wiki/Serbia \"Serbia\"), [Greece](/wiki/Greece \"Greece\"), [Israel](/wiki/Israel \"Israel\") and [Vietnam](/wiki/Vietnam \"Vietnam\").\n", "\n", "In 2023, *[Rolling Stone](/wiki/Rolling_Stone \"Rolling Stone\")* ranked Sosa at number 160 on its list of the 200 Greatest Singers of All Time.\n", "\n", "Discography\n", "-----------\n", "\n", "Sosa in 2005, with Argentina's then-First Lady (later president from 2007 to 2015), Cristina Fernández de Kirchner\n", "\n", "Sosa recorded forty albums.\n", "\n", "### Studio albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1962 | La Voz De La ZafraLabel: RCA |\n", "| 1965 | Canciones Con FundamentoLabel: El Grillo |\n", "| 1966 | HermanoLabel: Philips |\n", "| 1966 | Yo No Canto Por CantarLabel: Philips |\n", "| 1967 | Para Cantarle A Mi GenteLabel: Philips |\n", "| 1968 | Con Sabor A Mercedes SosaLabel: Philips |\n", "| 1969 | Mujeres ArgentinasLabel: Philips |\n", "| 1970 | El Grito De La TierraLabel: Philips |\n", "| 1970 | Navidad Con Mercedes SosaLabel: Philips |\n", "| 1971 | Homenaje a Violeta ParraLabel: Philips |\n", "| 1972 | Hasta La VictoriaLabel: Philips |\n", "| 1972 | Cantata SudamericanaLabel: Philips |\n", "| 1973 | Traigo Un Pueblo En Mi VozLabel: Philips |\n", "| 1975 | A Que Florezca Mi PuebloLabel: Philips |\n", "| 1976 | En Dirección Del VientoLabel: Philips |\n", "| 1977 | Mercedes Sosa Interpreta A Atahualpa YupanquiLabel: Philips |\n", "| 1979 | Serenata Para La Tierra De UnoLabel: Philips |\n", "| 1981 | A Quien Doy / Cuando Me Acuerdo de Mi PaísLabel: Philips |\n", "| 1982 | Como Un Pájaro LibreLabel: Philips |\n", "| 1983 | Mercedes SosaLabel: Philips |\n", "| 1984 | ¿Será Posible El Sur?Label: Philips |\n", "| 1985 | Vengo A Ofrecer Mi CorazónLabel: Philips |\n", "| 1986 | Mercedes Sosa '86Label: Philips |\n", "| 1987 | Mercedes Sosa '87Label: Philips |\n", "| 1993 | SinoLabel: Philips/Polygram |\n", "| 1994 | Gestos De AmorLabel: Polydor |\n", "| 1996 | Escondido En Mi PaísLabel: Polydor |\n", "| 1997 | Alta Fidelidad(w/Charly García)Label: Mercury |\n", "| 1998 | Al DespertarLabel: Mercury |\n", "| 1999 | Misa CriollaLabel: Mercury |\n", "| 2005 | Corazón LibreLabel: Edge |\n", "| 2009 | Cantora 1(w/various artists)Label: RCA |\n", "| 2009 | Cantora 2(w/various artists)Label: RCA |\n", "| 2011 | CensuradaLabel: Philips |\n", "| 2015 | LuceritoLabel: RCA |\n", "\n", "### EPs\n", "\n", "| Year | EP details |\n", "| --- | --- |\n", "| 1975 | Niño De MañanaLabel: Philips |\n", "\n", "### Live albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1973 | Si Se Calla El Cantor(with Gloria Martin)Label: Philips |\n", "| 1980 | Gravado Ao Vivo No BrasilLabel: Philips |\n", "| 1982 | Mercedes Sosa en ArgentinaLabel: Phonogram/Philips |\n", "| 1985 | Corazón Americano(withMilton Nascimento&León Gieco)Label: Philips |\n", "| 1989 | Live in EuropeLabel: Tropical Music/Polygram Argentina |\n", "| 1991 | De MíLabel: Philips |\n", "| 2002 | Acústico En VivoLabel: Sony Music Argentina |\n", "| 2003 | Argentina Quiere Cantar(withVíctor Heredia&León Gieco)Label: Odeon/EMI |\n", "| 2010 | Deja La Vida Volar (En Gira)Label: RCA |\n", "| 2014 | AngelLabel: Universal Music |\n", "| 2024 | En vivo en el Gran Rex 2006Label: INAMU Discos |\n", "| Mercedes Sosa en Nueva York, 1974Label: Sony Music Argentina |\n", "\n", "### Compilation albums\n", "\n", "| Year | Album details |\n", "| --- | --- |\n", "| 1975 | Disco De OroLabel: Philips |\n", "| 1983 | RecitalLabel: Philips |\n", "| 1988 | Amigos MíosLabel: Philips |\n", "| 1993 | 30 AñosLabel: Polygram Argentina |\n", "| 1995 | OroLabel: Polygram |\n", "| 1997 | The Best Of Mercedes SosaLabel: Mercury |\n", "| 2013 | Siempre En TiLabel: Universal Music |\n", "\n", "Filmography\n", "-----------\n", "\n", "* *[Güemes, la tierra en armas](/wiki/G%C3%BCemes:_la_tierra_en_armas \"Güemes: la tierra en armas\")* (1971)\n", "* *[Argentinísima](/wiki/Argentin%C3%ADsima \"Argentinísima\")* (1972)\n", "* *[Esta es mi Argentina](/w/index.php?title=Esta_es_mi_Argentina&action=edit&redlink=1 \"Esta es mi Argentina (page does not exist)\")* (1974)\n", "* *[Mercedes Sosa, como un pájaro libre](/wiki/Mercedes_Sosa:_como_un_pajaro_libre \"Mercedes Sosa: como un pajaro libre\")* (1983)\n", "* *[Será possible el sur: Mercedes Sosa](/w/index.php?title=Ser%C3%A1_possible_el_sur:_Mercedes_Sosa&action=edit&redlink=1 \"Será possible el sur: Mercedes Sosa (page does not exist)\")* (1985)\n", "* *[Historias de Argentina en vivo](/w/index.php?title=Historias_de_Argentina_en_vivo&action=edit&redlink=1 \"Historias de Argentina en vivo (page does not exist)\")* (2001)\n", "\n", "Further reading\n", "---------------\n", "\n", "* Christensen, Anette (2019). *Mercedes Sosa - The Voice of Hope*. Denmark: Tribute2life Publishing. [ISBN](/wiki/ISBN_(identifier) \"ISBN (identifier)\") [978-87-998216-5-5](/wiki/Special:BookSources/978-87-998216-5-5 \"Special:BookSources/978-87-998216-5-5\").\n", "* Christensen, Anette (2019). *Mercedes Sosa - More Than a Song*. Denmark: Tribute2life Publishing. [ISBN](/wiki/ISBN_(identifier) \"ISBN (identifier)\") [978-87-998216-7-9](/wiki/Special:BookSources/978-87-998216-7-9 \"Special:BookSources/978-87-998216-7-9\"). (Abridged version of Mercedes Sosa - The Voice of Hope)\n", "* Braceli, Rodolfo (2010). *Mercedes Sosa. La Negra* (in Spanish). Italy: Perrone. [ISBN](/wiki/ISBN_(identifier) \"ISBN (identifier)\") [978-88-6004-347-4](/wiki/Special:BookSources/978-88-6004-347-4 \"Special:BookSources/978-88-6004-347-4\").\n", "* Matus, Fabián (2016). *Mercedes Sosa. La Mami* (in Spanish). Argentina: Planeta. [ISBN](/wiki/ISBN_(identifier) \"ISBN (identifier)\") [978-950-49-5247-3](/wiki/Special:BookSources/978-950-49-5247-3 \"Special:BookSources/978-950-49-5247-3\").\n", "\n", "References\n", "----------\n", "\n", "1. **[^](#cite_ref-birth_1-0)** [Mercedes Sosa](http://www.brainyhistory.com/events/1935/july_9_1935_93941.html) at BrainyHistory.com\n", "2. **[^](#cite_ref-tmc_2-0)** [\"Singer Mercedes Sosa: The voice of the 'voiceless ones' outlasts South American dictatorships\"](http://www.tmcnet.com/usubmit/2007/12/08/3150199.htm).\n", "3. ^ [***a***](#cite_ref-Heckman_3-0) [***b***](#cite_ref-Heckman_3-1) [***c***](#cite_ref-Heckman_3-2) Heckman, Don (29 October 1995). [\"POP MUSIC : The Voice Heard Round the World : Mercedes Sosa, a compelling figure in world music and a social activist, will make a rare L.A. appearance\"](https://www.latimes.com/archives/la-xpm-1995-10-29-ca-62462-story.html). *Los Angeles Times*. Retrieved 5 December 2023.\n", "4. ^ [***a***](#cite_ref-Legendary_folk_singer_Mercedes_Sosa_dies_at_74_4-0) [***b***](#cite_ref-Legendary_folk_singer_Mercedes_Sosa_dies_at_74_4-1) [***c***](#cite_ref-Legendary_folk_singer_Mercedes_Sosa_dies_at_74_4-2) [***d***](#cite_ref-Legendary_folk_singer_Mercedes_Sosa_dies_at_74_4-3) [***e***](#cite_ref-Legendary_folk_singer_Mercedes_Sosa_dies_at_74_4-4) [***f***](#cite_ref-Legendary_folk_singer_Mercedes_Sosa_dies_at_74_4-5) [***g***](#cite_ref-Legendary_folk_singer_Mercedes_Sosa_dies_at_74_4-6) [***h***](#cite_ref-Legendary_folk_singer_Mercedes_Sosa_dies_at_74_4-7) [\"Legendary folk singer Mercedes Sosa dies at 74\"](http://www.france24.com/en/20091004-legendary-folk-singer-mercedes-sosa-dies-74-argentina-entertainment-music). [France 24](/wiki/France_24 \"France 24\"). 4 October 2009. Retrieved 5 October 2009.\n", "5. ^ [***a***](#cite_ref-:0_5-0) [***b***](#cite_ref-:0_5-1) [***c***](#cite_ref-:0_5-2) [***d***](#cite_ref-:0_5-3) Bernstein, Adam (5 October 2009). [\"Argentine folk singer who championed social justice\"](https://www.latimes.com/archives/la-xpm-2009-oct-05-me-mercedes-sosa5-story.html). *Los Angeles Times*. Retrieved 8 March 2025.\n", "6. **[^](#cite_ref-6)** *Mercedes Sosa: The Voice of Latin America*. Dir. Rodrigo H. Villa. First Run Features, 2013. Web.\n", "7. ^ [***a***](#cite_ref-Mercedes_Sosa:_Obituary_7-0) [***b***](#cite_ref-Mercedes_Sosa:_Obituary_7-1) [***c***](#cite_ref-Mercedes_Sosa:_Obituary_7-2) [***d***](#cite_ref-Mercedes_Sosa:_Obituary_7-3) [***e***](#cite_ref-Mercedes_Sosa:_Obituary_7-4) [***f***](#cite_ref-Mercedes_Sosa:_Obituary_7-5) [***g***](#cite_ref-Mercedes_Sosa:_Obituary_7-6) [***h***](#cite_ref-Mercedes_Sosa:_Obituary_7-7) [\"Mercedes Sosa: Obituary\"](https://www.telegraph.co.uk/news/obituaries/culture-obituaries/music-obituaries/6259898/Mercedes-Sosa.html). *[The Daily Telegraph](/wiki/The_Daily_Telegraph \"The Daily Telegraph\")*. 4 October 2009. Retrieved 5 October 2009.\n", "8. **[^](#cite_ref-test_8-0)** [The presentation by Jorge Cafrune and the song Mercedes Sosa sang](https://www.youtube.com/watch?v=QzwL8C2hE6c) on [YouTube](/wiki/YouTube_video_(identifier) \"YouTube video (identifier)\"). Retrieved 3 March 2010.\n", "9. ^ [***a***](#cite_ref-Latin_artist_Mercedes_Sosa_dies_9-0) [***b***](#cite_ref-Latin_artist_Mercedes_Sosa_dies_9-1) [***c***](#cite_ref-Latin_artist_Mercedes_Sosa_dies_9-2) [***d***](#cite_ref-Latin_artist_Mercedes_Sosa_dies_9-3) [***e***](#cite_ref-Latin_artist_Mercedes_Sosa_dies_9-4) [***f***](#cite_ref-Latin_artist_Mercedes_Sosa_dies_9-5) [***g***](#cite_ref-Latin_artist_Mercedes_Sosa_dies_9-6) [***h***](#cite_ref-Latin_artist_Mercedes_Sosa_dies_9-7) [\"Latin artist Mercedes Sosa dies\"](http://news.bbc.co.uk/2/hi/entertainment/8289370.stm). [BBC](/wiki/BBC \"BBC\"). 4 October 2009. Retrieved 5 October 2009.\n", "10. **[^](#cite_ref-10)** Karush, Matthew (2017). *Musicians in Transit: Argentina and the Globalization of Popular Music*. Duke. p. 168. [ISBN](/wiki/ISBN_(identifier) \"ISBN (identifier)\") [978-0-8223-7377-3](/wiki/Special:BookSources/978-0-8223-7377-3 \"Special:BookSources/978-0-8223-7377-3\").\n", "11. ^ [***a***](#cite_ref-ap_11-0) [***b***](#cite_ref-ap_11-1) [Associated Press](https://www.google.com/hostednews/ap/article/ALeqM5iBSb5ZdEJ8MI6_qzWccZNZQITnMAD9B47Q8G1)[*[dead link](/wiki/Wikipedia:Link_rot \"Wikipedia:Link rot\")*]\n", "12. ^ [***a***](#cite_ref-:2_12-0) [***b***](#cite_ref-:2_12-1) [\"Biografía\"](https://www.mercedessosa.org/biografia/). *Fundación Mercedes Sosa* (in Spanish). Retrieved 8 March 2025.\n", "13. **[^](#cite_ref-13)** Argentina, Cadena 3. [\"El folclore argentino llora la muerte de Daniel Toro - Notas - Viva la Radio\"](https://www.cadena3.com/noticia/viva-la-radio/murio-daniel-toro-icono-del-folclore-argentino_359018). *Cadena 3 Argentina* (in Spanish). Retrieved 14 March 2025.`{{cite web}}`: CS1 maint: numeric names: authors list ([link](/wiki/Category:CS1_maint:_numeric_names:_authors_list \"Category:CS1 maint: numeric names: authors list\"))\n", "14. **[^](#cite_ref-14)** Nilsson, Leopoldo Torre (7 April 1971), [*Güemes - la tierra en armas*](https://www.imdb.com/title/tt0067165/?ref_=nm_knf_t_2) (Drama, History), Alfredo Alcón, Norma Aleandro, Gabriela Gili, Producciones Cinematográficas Cerrillos, retrieved 8 March 2025\n", "15. **[^](#cite_ref-15)** Rodrigo (10 September 2020). [\"Patricio Manns: Cuando me acuerdo de mi país (1983) | PERRERAC: La canción, un arma de la revolución\"](https://perrerac.org/album/patricio-manns-cuando-me-acuerdo-de-mi-pais-1983/13772/) (in Spanish). Retrieved 14 March 2025.\n", "16. ^ [***a***](#cite_ref-:1_16-0) [***b***](#cite_ref-:1_16-1) Lopez, Vicente F. (18 January 1983). [\"ARTISTAS EXILIADOS HAN REGRESADO A ARGENTINA\"](https://infoweb.newsbank.com/apps/news/openurl?ctx_ver=z39.88-2004&rft_id=info%3Asid/infoweb.newsbank.com&svc_dat=WORLDNEWS&req_dat=0D1C15DBC6335C60&rft_val_format=info%3Aofi/fmt%3Akev%3Amtx%3Actx&rft_dat=document_id%3Anews%252F0EB960FAFAAF7A0F). *El Nuevo Herald*. p. 8. Retrieved 7 March 2025.\n", "17. **[^](#cite_ref-17)** Drosdoff, Daniel (30 October 1983). [\"ARGENTINIAN VOTE TO END DICTATORSHIP PERONIST AND RADICAL IN LEAD FOR PRESIDENCY\"](https://infoweb.newsbank.com/apps/news/openurl?ctx_ver=z39.88-2004&rft_id=info%3Asid/infoweb.newsbank.com&svc_dat=WORLDNEWS&req_dat=0D1C15DBC6335C60&rft_val_format=info%3Aofi/fmt%3Akev%3Amtx%3Actx&rft_dat=document_id%3Anews%252F0EB35DEF2EAA1BC5). *Miami Herald*. pp. 16A. Retrieved 7 March 2025.\n", "18. **[^](#cite_ref-18)** [Interview with Mercedes Sosa](http://www.berlinonline.de/berliner-zeitung/archiv/.bin/dump.fcgi/2003/1025/magazin/0001/) [Archived](https://web.archive.org/web/20091016201953/http://www.berlinonline.de/berliner-zeitung/archiv/.bin/dump.fcgi/2003/1025/magazin/0001/) 16 October 2009 at the [Wayback Machine](/wiki/Wayback_Machine \"Wayback Machine\"), *Magazin Berliner Zeitung*, 25 October 2003. (in German)\n", "19. **[^](#cite_ref-19)** [Mercedes Sosa in concert](http://chicago.cervantes.es/Cultura/Fichas/Ficha41728_47_2.htm) [Archived](https://web.archive.org/web/20080104200631/http://chicago.cervantes.es/Cultura/Fichas/Ficha41728_47_2.htm) 4 January 2008 at the [Wayback Machine](/wiki/Wayback_Machine \"Wayback Machine\")\n", "20. **[^](#cite_ref-20)** Meyer, Bill (7 October 2009). [\"A U.S. musician pays tribute to Mercedes Sosa\"](https://www.peoplesworld.org/article/a-u-s-musician-pays-tribute-to-mercedes-sosa/). *People's World*. Retrieved 5 December 2023.\n", "21. **[^](#cite_ref-21)** [\"In Profile: Mercedes Sosa\"](https://soundsandcolours.com/articles/argentina/in-profile-mercedes-sosa-1761/). *soundsandcolours.com*. 26 August 2010. Retrieved 27 March 2018.\n", "22. **[^](#cite_ref-22)** [*Balderrama* by Mercedes Sosa](https://www.youtube.com/watch?v=k4LJDTlviKw) on [YouTube](/wiki/YouTube_video_(identifier) \"YouTube video (identifier)\") – a tribute to [Che Guevara](/wiki/Che_Guevara \"Che Guevara\")\n", "23. **[^](#cite_ref-23)** [\"Latin Grammys: Ganadores – Años Anteriores (2000)\"](https://www.latingrammy.com/es/nominees/search?artist=&field_nominee_work_value=&year=2000&genre=All). *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "24. **[^](#cite_ref-24)** [\"Latin Grammys: Ganadores – Años Anteriores (2003)\"](https://www.latingrammy.com/es/nominees/search?artist=&field_nominee_work_value=&year=2003&genre=All). *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "25. **[^](#cite_ref-25)** [\"Latin Grammys: Ganadores – Años Anteriores (2006)\"](https://www.latingrammy.com/es/nominees/search?artist=&field_nominee_work_value=&year=2006&genre=All). *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "26. **[^](#cite_ref-26)** [\"Latin Grammys: Ganadores – Años Anteriores (2009)\"](https://www.latingrammy.com/es/nominees/search?artist=&field_nominee_work_value=&year=2009&genre=All). *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "27. **[^](#cite_ref-27)** [\"Latin Grammys: Ganadores – Años Anteriores (2011)\"](https://www.latingrammy.com/es/nominees/search?artist=&field_nominee_work_value=&year=2011&genre=All). *Latin Grammys* (in Spanish). The Latin Recording Academy. Retrieved 7 July 2021.\n", "28. **[^](#cite_ref-28)** [\"Premios Konex 1995: Música Popular\"](https://www.fundacionkonex.org/premios1995-musica-popular). *Fundación Konex* (in Spanish). Retrieved 7 July 2021.\n", "29. **[^](#cite_ref-29)** [\"\"En ningún momento sufrió\", dijo el hijo de Mercedes Sosa\"](https://web.archive.org/web/20091004144610/http://www.clarin.com/diario/2009/10/01/um/m-02010016.htm) (in Spanish). October 2009. Archived from [the original](http://www.clarin.com/diario/2009/10/01/um/m-02010016.htm) on 4 October 2009. Retrieved 1 October 2009.\n", "30. ^ [***a***](#cite_ref-Argentine_singer_Mercedes_Sosa,_'voice_of_Latin_America,'_dies_at_74_30-0) [***b***](#cite_ref-Argentine_singer_Mercedes_Sosa,_'voice_of_Latin_America,'_dies_at_74_30-1) [***c***](#cite_ref-Argentine_singer_Mercedes_Sosa,_'voice_of_Latin_America,'_dies_at_74_30-2) Javier Doberti (4 October 2009). [\"Argentine singer Mercedes Sosa, 'voice of Latin America,' dies at 74\"](http://edition.cnn.com/2009/SHOWBIZ/Music/10/04/obit.mercedes.sosa/). [CNN](/wiki/CNN \"CNN\"). Retrieved 5 October 2009.\n", "31. **[^](#cite_ref-Argentine_folk_legend_Mercedes_Sosa_dead_at_74_31-0)** [\"Argentine folk legend Mercedes Sosa dead at 74\"](http://www.bangkokpost.com/news/world/156066/argentine-folk-legend-mercedes-sosa-dead-at-74). *[Bangkok Post](/wiki/Bangkok_Post \"Bangkok Post\")*. 4 October 2009. Retrieved 5 October 2009.\n", "32. ^ [***a***](#cite_ref-Argentine_folk_icon_Sosa_dies_at_74_32-0) [***b***](#cite_ref-Argentine_folk_icon_Sosa_dies_at_74_32-1) [\"Argentine folk icon Sosa dies at 74\"](http://english.aljazeera.net/news/americas/2009/10/200910421057755554.html#). [Al Jazeera](/wiki/Al_Jazeera_Arabic \"Al Jazeera Arabic\"). 4 October 2009. Retrieved 5 October 2009.\n", "33. **[^](#cite_ref-33)** [\"Continúa la procesión en el Congreso para despedir a Mercedes Sosa\"](http://www.lanacion.com.ar/nota.asp?nota_id=1182377&pid=7460859&toi=6255).\n", "34. ^ [***a***](#cite_ref-Argentine_singer_Mercedes_Sosa_dies_at_74_34-0) [***b***](#cite_ref-Argentine_singer_Mercedes_Sosa_dies_at_74_34-1) Helen Popper (4 October 2009). [\"Argentine singer Mercedes Sosa dies at 74\"](https://web.archive.org/web/20091011000305/http://in.reuters.com/article/hollywood/idINTRE5931S220091004). *[Reuters](/wiki/Reuters \"Reuters\")*. Archived from [the original](http://in.reuters.com/article/hollywood/idINTRE5931S220091004) on 11 October 2009. Retrieved 5 October 2009.\n", "35. **[^](#cite_ref-35)** [\"Celebrating Mercedes Sosa\"](https://doodles.google/doodle/celebrating-mercedes-sosa/). *Doodles Archive, Google*. 31 January 2019.\n", "36. **[^](#cite_ref-36)** [\"The 200 Greatest Singers of All Time\"](https://www.rollingstone.com/music/music-lists/best-singers-all-time-1234642307/mercedes-sosa-1234642917/). *[Rolling Stone](/wiki/Rolling_Stone \"Rolling Stone\")*. 1 January 2023. Retrieved 9 March 2023.\n", "\n", "External links\n", "--------------\n", "\n", "Wikiquote has quotations related to ***[Mercedes Sosa](https://en.wikiquote.org/wiki/Special:Search/Mercedes_Sosa \"q:Special:Search/Mercedes Sosa\")***.\n", "\n", "Wikimedia Commons has media related to [Mercedes Sosa](https://commons.wikimedia.org/wiki/Category:Mercedes_Sosa \"commons:Category:Mercedes Sosa\").\n", "\n", "* [Tribute to Mercedes Sosa](https://web.archive.org/web/20120913073615/http://tragaseushow.com.br/8-tributo-a-mercedes-sosa-em-porto-alegre) (in Portuguese BR)\n", "* [Mercedes Sosa's website](http://www.mercedessosa.com.ar/) (in Spanish)\n", "* [Mercedes Sosa's News](http://noticiasmercedessosa.blogspot.com/) (in Spanish)\n", "* [Mercedes Sosa](https://www.imdb.com/name/nm0815302/) at [IMDb](/wiki/IMDb_(identifier) \"IMDb (identifier)\")\n", "* [Mercedes Sosa's Discography](https://www.discogs.com/artist/333361-Mercedes-Sosa) on [Discogs.com](https://www.discogs.com/)" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from IPython.display import display, Markdown\n", "\n", "md_page = get_wikipedia_markdown(\n", " 'Mercedes_Sosa',\n", " lang='en',\n", " ignore_references= False,\n", " ignore_links= False)\n", "\n", "display(Markdown(md_page)) " ] }, { "cell_type": "code", "execution_count": 100, "id": "25b61d19", "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "International competition for young conductors\n", "\n", "The **Malko Competition** is an international competition for young [conductors](/wiki/Conducting \"Conducting\"). It is held every three years by the [Danish Radio Symphony Orchestra](/wiki/Danish_Radio_Symphony_Orchestra \"Danish Radio Symphony Orchestra\"), to commemorate its founding conductor, [Nicolai Malko](/wiki/Nicolai_Malko \"Nicolai Malko\").\n", "\n", "Recipients\n", "----------\n", "\n", "| Year | Recipient | Lifetime | Nationality | Notes |\n", "| --- | --- | --- | --- | --- |\n", "| 1965 | Ralf Weikert | b. 1940 | Austria | |\n", "| 1968 | Avi Ostrowsky | b. 1939 | Israel | |\n", "| 1971 | Winston Dan Vogel | b. 1943 | United States | |\n", "| 1974 | Gotthard Lienicke | | | |\n", "| 1977 | Philip Barry Greenberg | | United States | |\n", "| 1980 | Maximiano Valdés | b. 1949 | Chile | |\n", "| 1983 | Claus Peter Flor | b. 1953 | East Germany | |\n", "| 1986 | Kazufumi Yamashita | b. 1961 | Japan | |\n", "| 1989 | Fabio Mechetti | b. 1957 | Brazil | |\n", "| 1992 | Jin Wang | b. 1960 | Austria | |\n", "| 1995 | Jan Wagner | | Venezuela | |\n", "| 1998 | Seikyo Kim | b. 1970 | Japan | |\n", "| 2001 | Josep Caballé Domenech | b. 1973 | Spain | |\n", "| 2005 | Mei-Ann Chen | b. 1973 | United States | |\n", "| 2009 | Joshua Weilerstein | b. 1987 | United States | |\n", "| 2012 | Rafael Payare | b. 1980 | Venezuela | |\n", "| 2015 | Tung-Chieh Chuang | b. 1982 | Taiwan | |\n", "| 2018 | Ryan Bancroft | b. 1989 | United States | |\n", "| 2021 | Dmitry Matvienko | b. 1990 | Belarus | |\n", "| 2024 | Samuel Seungwon Lee | b. 1990 | South Korea | |\n", "\n", "Notes\n", "-----\n", "\n", "1. **[^](#cite_ref-8)** No first prize was awarded in 2001, and Caballé-Domenech was appointed the highest (2nd) prize.\n", "\n", "References\n", "----------\n", "\n", "1. **[^](#cite_ref-1)** [\"Denmark's top orchestra plays\"](https://www.newspapers.com/image/857915887/). *[Columbus Ledger-Enquirer](/wiki/Columbus_Ledger-Enquirer \"Columbus Ledger-Enquirer\")*. Vol. 165, no. 313 (Final ed.). April 9, 1993. p. B-1.\n", "2. **[^](#cite_ref-2)** Written at [Copenhagen](/wiki/Copenhagen \"Copenhagen\"). [\"Award to Greenberg\"](https://www.newspapers.com/image/98892785/). *[Detroit Free Press](/wiki/Detroit_Free_Press \"Detroit Free Press\")*. Vol. 147, no. 12 (metro ed.). [Detroit](/wiki/Detroit \"Detroit\"). [Associated Press](/wiki/Associated_Press \"Associated Press\"). May 16, 1977. p. 16-B.\n", "3. **[^](#cite_ref-3)** Written at [Copenhagen](/wiki/Copenhagen \"Copenhagen\"). [\"Chilean named top conductor\"](https://www.newspapers.com/image/349883195/). *[The Montana Standard](/wiki/The_Montana_Standard \"The Montana Standard\")*. Vol. 104, no. 356. [Butte, Montana](/wiki/Butte,_Montana \"Butte, Montana\"). [Associated Press](/wiki/Associated_Press \"Associated Press\"). May 21, 1980. p. 2.\n", "4. **[^](#cite_ref-4)** [\"Japanese Maestro Top Prize Winner\"](https://www.latimes.com/archives/la-xpm-1986-07-01-ca-843-story.html). *[Los Angeles Times](/wiki/Los_Angeles_Times \"Los Angeles Times\")*. July 1, 1986. Retrieved August 9, 2012.\n", "5. **[^](#cite_ref-5)** MacMillan, Kyle (February 3, 1994). [\"Brazilian Is Faithful to Composers\"](https://www.newspapers.com/image/891334962/). *[Omaha World-Herald](/wiki/Omaha_World-Herald \"Omaha World-Herald\")*. Vol. 129. pp. 31–32.\n", "6. **[^](#cite_ref-6)** [\"Hot conductor\"](https://www.newspapers.com/image/639618099/). the ticket. *[The Miami Herald](/wiki/The_Miami_Herald \"The Miami Herald\")*. Vol. 85, no. 288 (Palm Beach ed.). September 14, 1995. p. 7E.\n", "7. **[^](#cite_ref-7)** [\"ARTS & ENTERTAINMENT IN BRIEF 21/7\"](https://web.archive.org/web/20100925135423/http://www.lookatvietnam.com/2010/07/arts-entertainment-in-brief-217.html). *Look at Vietnam*. July 21, 2010. Archived from [the original](http://www.lookatvietnam.com/2010/07/arts-entertainment-in-brief-217.html) on September 25, 2010. Retrieved August 9, 2012.\n", "8. **[^](#cite_ref-9)** Johnson, Lawrence A. (4 August 2010). [\"Mei-Ann Chen named music director of the Chicago Sinfonietta\"](http://chicagoclassicalreview.com/2010/08/mei-ann-chen-named-music-director-of-the-chicago-sinfonietta/). *Chicago Classical Review*. Chicago. Retrieved 17 December 2017.\n", "9. **[^](#cite_ref-10)** Eriksen, Jon Bonde (1 May 2015). [\"Former winner: Malko was the start of my conducting career\"](https://www.dr.dk/Temaer/Malko/English/Articles/2015/0501110524.htm). *dr.dk*. Retrieved 17 December 2017.\n", "10. **[^](#cite_ref-11)** Mellor, Andrew (14 May 2012). [\"Venezuelan Rafael Payare wins Malko Competition\"](http://www.gramophone.co.uk/classical-music-news/venezuelan-rafael-payare-wins-malko-competition). *Gramophone*. Haymarket Media Group. Retrieved 9 August 2012.\n", "11. **[^](#cite_ref-12)** [\"Tung-Chieh Chuang er vinder af Malko Konkurrencen 2015\"](https://www.dr.dk/presse/tung-chieh-chuang-er-vinder-af-malko-konkurrencen-2015). *DR* (in Danish). 1 May 2015.\n", "12. **[^](#cite_ref-13)** [\"28-årige Ryan tager 1. plads i stor dansk musikkonkurrence: Nu vil jeg fejre det med en middag!\"](https://www.dr.dk/nyheder/kultur/klassisk/28-aarige-ryan-tager-1-plads-i-stor-dansk-musikkonkurrence-nu-vil-jeg-fejre). *DR* (in Danish). Retrieved 28 April 2018.\n", "13. **[^](#cite_ref-14)** [\"Congratulations to the winners of the Malko competition 2021!\"](https://malkocompetition.dk/). *Malko Competition*. Retrieved 12 June 2021.\n", "\n", "External links\n", "--------------\n", "\n", "* [Classical music portal](/wiki/Portal:Classical_music \"Portal:Classical music\")\n", "\n", "[Official website](http://malkocompetition.dk/)" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "md_page = get_wikipedia_markdown(\n", " \"Malko_Competition\",\n", " lang='en',\n", " ignore_references= False,\n", " ignore_links= False)\n", "\n", "\n", "display(Markdown(md_page)) " ] }, { "cell_type": "markdown", "id": "fc7a7e41", "metadata": {}, "source": [ "## Transcribe mp3s" ] }, { "cell_type": "code", "execution_count": 104, "id": "f4ca4cc3", "metadata": {}, "outputs": [], "source": [ "import os\n", "# import wikipediaapi\n", "from markdownify import markdownify as md\n", "from smolagents import tool, LiteLLMModel\n", "import whisper\n", "\n", "from youtube_transcript_api import YouTubeTranscriptApi\n", "from youtube_transcript_api.formatters import JSONFormatter\n", "\n", "import base64\n", "import mimetypes \n", "import requests # Keep for consistency, though not used for fetching image in this version\n", "import os # Added for os.path.join\n", "\n", "import re\n", "from bs4 import BeautifulSoup, Tag, Comment\n", "\n", "@tool\n", "def transcribe_mp3(mp3_path: str, model_size: str = \"base\") -> str:\n", " \"\"\"\n", " Transcribe an MP3 file to text using Whisper.\n", "\n", " Args:\n", " mp3_path (str): Path to the MP3 file.\n", " model_size (str): Whisper model size (tiny, base, small, medium, large).\n", "\n", " Returns:\n", " str: Transcribed text.\n", " \"\"\"\n", " transcription_path = mp3_path.replace(\".mp3\", \"_transcript.txt\")\n", "\n", " # Check if transcription already exists\n", " if os.path.exists(transcription_path):\n", " with open(transcription_path, 'r', encoding='utf-8') as f:\n", " return f.read()\n", "\n", " # Load model\n", " model = whisper.load_model(model_size)\n", "\n", " # Transcribe\n", " result = model.transcribe(mp3_path)\n", "\n", " transcription = result[\"text\"]\n", "\n", " # Save transcription to file\n", " with open(transcription_path, 'w', encoding='utf-8') as f:\n", " f.write(transcription)\n", "\n", " # Return the text\n", " return transcription" ] }, { "cell_type": "code", "execution_count": 110, "id": "64c81a76", "metadata": {}, "outputs": [], "source": [ "mp3_path = \"downloaded_files/1f975693-876d-457b-a649-393859e79bf3.mp3\" \n", "mp3_path = \"downloaded_files/99c9cc74-fdc8-46c6-8f8d-3ce2d3bfeea3.mp3\" " ] }, { "cell_type": "code", "execution_count": 111, "id": "8a97baf5", "metadata": {}, "outputs": [], "source": [ "transcript = transcribe_mp3(mp3_path)" ] }, { "cell_type": "code", "execution_count": 112, "id": "d2829bd8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "' In a saucepan, combine ripe strawberries, granulated sugar, freshly squeezed lemon juice and cornstarch. Cook the mixture over medium heat, stirring constantly until it thickens to a smooth consistency. Remove from heat and stir in a dash of pure vanilla extract. Allow the strawberry pie feeling to cool before using it as a delicious and fruity filling for your pie crust.'" ] }, "execution_count": 112, "metadata": {}, "output_type": "execute_result" } ], "source": [ "transcript" ] }, { "cell_type": "markdown", "id": "d4f938a1", "metadata": {}, "source": [ "## Describe images" ] }, { "cell_type": "code", "execution_count": 133, "id": "1b916677", "metadata": {}, "outputs": [], "source": [ "@tool\n", "def describe_image_file(local_image_path: str) -> str:\n", " \"\"\"\n", " Describe the contents of a local image file in detail and return the description as text.\n", " Args:\n", " local_image_path (str): The path to the local image file to be described.\n", " Returns:\n", " str: A detailed description of the image contents.\n", " \"\"\"\n", "\n", " file_stem, _ = os.path.splitext(local_image_path)\n", " description_path = file_stem + \"_descript.txt\"\n", "\n", " # Check if description already exists\n", " if os.path.exists(description_path):\n", " with open(description_path, 'r', encoding='utf-8') as f:\n", " return f.read()\n", "\n", " model = LiteLLMModel(\n", " model_id='ollama/gemma3:27b',\n", " api_base=\"https://192.168.5.217:8000\", # replace with remote open-ai compatible server if necessary\n", " api_key=os.getenv(\"OLLAMA_REVPROXY_SRVML\"),\n", " num_ctx=16384, # ollama default is 2048 which will often fail horribly. 8192 works for easy tasks, more is better. Check https://huggingface.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator to calculate how much VRAM this will need for the selected model\n", " ssl_verify=False, # Explicitly disable SSL verification\n", " extra_headers={\n", " \"Authorization\": f\"Bearer {os.getenv('OLLAMA_REVPROXY_SRVML')}\", # Explicitly set auth header\n", " },\n", " flatten_messages_as_text = False\n", " )\n", " \n", " text_prompt = \"What is in this image? Describe it in detail.\"\n", "\n", " try:\n", "\n", " if not os.path.exists(local_image_path):\n", " raise FileNotFoundError(f\"Image file not found at {local_image_path}. Please ensure it was downloaded correctly.\")\n", "\n", " # 1. Read the image content from the local file\n", " with open(local_image_path, \"rb\") as image_file:\n", " image_content_bytes = image_file.read()\n", "\n", " # 2. Base64 encode the image content\n", " base64_image_bytes = base64.b64encode(image_content_bytes)\n", " base64_image_string = base64_image_bytes.decode('utf-8')\n", "\n", " # 3. Set MIME type based on file extension\n", " if local_image_path.lower().endswith('.png'):\n", " content_type = 'image/png'\n", " elif local_image_path.lower().endswith('.jpg') or local_image_path.lower().endswith('.jpeg'):\n", " content_type = 'image/jpeg'\n", " elif local_image_path.lower().endswith('.gif'):\n", " content_type = 'image/gif'\n", " elif local_image_path.lower().endswith('.bmp'):\n", " content_type = 'image/bmp'\n", " elif local_image_path.lower().endswith('.webp'):\n", " content_type = 'image/webp'\n", " else:\n", " content_type = mimetypes.guess_type(local_image_path)[0] or 'application/octet-stream'\n", " print(f\"Using specified MIME type: {content_type}\")\n", "\n", " # 4. Construct the data URI\n", " data_uri = f\"data:{content_type};base64,{base64_image_string}\"\n", "\n", " # Construct the messages payload\n", " messages = [\n", " {\n", " \"role\": \"user\",\n", " \"content\": [\n", " {\"type\": \"text\", \"text\": text_prompt},\n", " {\n", " \"type\": \"image_url\",\n", " \"image_url\": {\n", " \"url\": data_uri # Use the base64 data URI here\n", " }\n", " }\n", " ]\n", " }\n", " ]\n", "\n", " # Assuming 'model' is your LiteLLMModel instance initialized in a previous cell (e.g., cell 'dfc845ab')\n", " if 'model' not in locals():\n", " raise NameError(\"Variable 'model' is not defined. Please run the cell that initializes the LiteLLMModel.\")\n", " \n", " response = model.generate(messages)\n", "\n", " description_text = response.content\n", "\n", " # 5. Save the description to a file\n", " with open(description_path, 'w', encoding='utf-8') as f:\n", " f.write(description_text)\n", " \n", " return description_text\n", "\n", " except FileNotFoundError as fnf_err:\n", " print(f\"File error: {fnf_err}\")\n", " raise FileNotFoundError(f\"Image file not found at {local_image_path}. Please ensure it was downloaded correctly.\")\n", " except NameError as ne:\n", " print(f\"A required variable might not be defined (e.g., filename, model): {ne}\")\n", " print(\"Please ensure the cells defining these variables have been run.\")\n", " raise NameError(f\"Variable 'model' is not defined. Please run the cell that initializes the LiteLLMModel.\")\n", " except Exception as e:\n", " print(f\"An error occurred: {e}\")\n", " raise Exception(f\"An error occurred while processing the image: {e}\")\n" ] }, { "cell_type": "code", "execution_count": 134, "id": "7588bb11", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Using specified MIME type: image/png\n" ] }, { "data": { "text/plain": [ "\"Here's a detailed description of the image:\\n\\n**The image shows a chessboard in a mid-game position.** The board is a standard 8x8 grid with alternating green and beige squares.\\n\\n**Pieces:**\\n\\n* **White:**\\n * King (K) on h1\\n * Rook (R) on e3\\n * Bishop (B) on d3\\n * Knight (N) on d4\\n * Queen (Q) on h5\\n * Pawns (P) on a3, b3, g2, h2, a7, b7, g7, h7\\n* **Black:**\\n * King (K) on g8\\n * Rook (R) on e8\\n * Bishop (B) on f6\\n * Knight (N) on f5\\n * Queen (Q) on c3\\n * Pawns (P) on a6, b6, c6, d6, e6, f7, g7, h7\\n\\n**Position:**\\n\\nThe pieces are arranged in a complex position, suggesting an ongoing game. There are various potential attacks and defenses. The black queen, positioned at c3, appears to be a threat.\\n\\n**Overall:**\\n\\nThe image shows a snapshot of a chess game in progress, offering a tactical challenge for chess players.\"" ] }, "execution_count": 134, "metadata": {}, "output_type": "execute_result" } ], "source": [ "image_description = describe_image_file(\"downloaded_files/cca530fc-4052-43b2-b130-b30968d8aa44.png\") \n", "\n", "image_description" ] }, { "cell_type": "markdown", "id": "4cc20241", "metadata": {}, "source": [ "## Youtube video transcribe" ] }, { "cell_type": "code", "execution_count": null, "id": "1689b9c4", "metadata": {}, "outputs": [], "source": [ "from youtube_transcript_api import YouTubeTranscriptApi\n", "from youtube_transcript_api.formatters import JSONFormatter\n", "\n", "def get_youtube_video_transcript(video_id: str) -> str:\n", " \"\"\"\n", " Fetches the transcript of a YouTube video by its ID and returns it in JSON format.\n", " The video ID can be found in the YouTube video URL:\n", " https://www.youtube.com/watch?v=VIDEO_ID, where VIDEO_ID is the part after \"v=\".\n", " example: for the url https://www.youtube.com/watch?v=L1vXCYZAYYM the video_id is \"L1vXCYZAYYM\".\n", "\n", " Args:\n", " video_id (str): The YouTube video ID.\n", " Returns:\n", " str: The transcript in JSON format.\n", " \"\"\"\n", " \n", " ytt_api = YouTubeTranscriptApi()\n", " transcript = ytt_api.fetch(video_id)\n", "\n", " formatter = JSONFormatter()\n", "\n", " # .format_transcript(transcript) turns the transcript into a JSON string.\n", " json_formatted = formatter.format_transcript(transcript)\n", " return json_formatted" ] }, { "cell_type": "code", "execution_count": null, "id": "81114325", "metadata": {}, "outputs": [], "source": [ "video_id = '1htKBjuUWec'\n", "\n", "# ytt_api = YouTubeTranscriptApi()\n", "# transcript = ytt_api.fetch(video_id)\n", "\n", "ytt_api = YouTubeTranscriptApi()\n", "transcript = ytt_api.fetch(video_id)\n", "\n", "formatter = JSONFormatter()\n", "\n", "# .format_transcript(transcript) turns the transcript into a JSON string.\n", "json_formatted = formatter.format_transcript(transcript)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "f2a669ec", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'[{\"text\": \"Wow this coffee\\'s great I was just\", \"start\": 0.03, \"duration\": 5.39}, {\"text\": \"thinking that\", \"start\": 3.84, \"duration\": 6.799}, {\"text\": \"yeah is that cinnamon chicory\", \"start\": 5.42, \"duration\": 5.219}, {\"text\": \"tea oak\", \"start\": 17.72, \"duration\": 3.09}, {\"text\": \"[Music]\", \"start\": 21.54, \"duration\": 3.12}, {\"text\": \"isn\\'t that hot\", \"start\": 24.68, \"duration\": 5.04}, {\"text\": \"extremely\", \"start\": 26.72, \"duration\": 3.0}]'" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "json_formatted" ] }, { "cell_type": "code", "execution_count": null, "id": "92a0984b", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "fbee6c2e", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "520fdcc6", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "d15dc127", "metadata": {}, "source": [ "# TESTS" ] }, { "cell_type": "code", "execution_count": 9, "id": "fbef3137", "metadata": {}, "outputs": [], "source": [ "import shutil\n", "import os\n", "import json\n", "from smolagents import CodeAgent, LiteLLMModel, DuckDuckGoSearchTool, HfApiModel,VisitWebpageTool, FinalAnswerTool\n", "# import datetime\n", "import requests\n", "from smolagents.tools import Tool\n", "from typing import Any\n", "\n", "from tools import get_text_from_ascii_file, get_wikipedia_markdown, transcribe_mp3, describe_image_file, get_youtube_video_transcript\n" ] }, { "cell_type": "code", "execution_count": 3, "id": "9e06c139", "metadata": {}, "outputs": [], "source": [ "model = LiteLLMModel(\n", " model_id='ollama/devstral:24b',\n", " # model_id=\"ollama/cogito:14b\",\n", " # model_id='ollama/qwen3:32b',\n", " # model_id='ollama/gemma3:27b', \n", " # model_id='ollama/qwen2.5-coder:32b-instruct-q4_K_M', \n", " api_base=\"https://192.168.5.217:8000\", # replace with remote open-ai compatible server if necessary\n", " api_key=os.getenv(\"OLLAMA_REVPROXY_SRVML\"),\n", " num_ctx=16384, # ollama default is 2048 which will often fail horribly. 8192 works for easy tasks, more is better. Check https://huggingface.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator to calculate how much VRAM this will need for the selected model\n", " ssl_verify=False, # Explicitly disable SSL verification\n", " extra_headers={\n", " \"Authorization\": f\"Bearer {os.getenv('OLLAMA_REVPROXY_SRVML')}\", # Explicitly set auth header\n", " },\n", " flatten_messages_as_text = False,\n", " timeout=900 # seconds, default is 600 seconds, set to 15 minutes to allow for longer tasks\n", " )" ] }, { "cell_type": "code", "execution_count": 4, "id": "4ec782b8", "metadata": {}, "outputs": [], "source": [ "tools = [\n", " get_wikipedia_markdown, get_text_from_ascii_file, transcribe_mp3,\n", " describe_image_file, get_youtube_video_transcript,\n", " DuckDuckGoSearchTool(), # Web search (main retrieval)\n", " VisitWebpageTool(), # Optional: visit page if needed (sometimes helps)\n", " FinalAnswerTool(), # Needed for FINAL ANSWER output\n", " ]" ] }, { "cell_type": "code", "execution_count": 5, "id": "e38d160a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'system_prompt': 'You are an expert assistant who can solve any task using code blobs. You will be given a task to solve as best you can.\\nTo do so, you have been given access to a list of tools: these tools are basically Python functions which you can call with code.\\nTo solve the task, you must plan forward to proceed in a series of steps, in a cycle of \\'Thought:\\', \\'Code:\\', and \\'Observation:\\' sequences.\\n\\nAt each step, in the \\'Thought:\\' sequence, you should first explain your reasoning towards solving the task and the tools that you want to use.\\nThen in the \\'Code:\\' sequence, you should write the code in simple Python. The code sequence must end with \\'\\' sequence.\\nDuring each intermediate step, you can use \\'print()\\' to save whatever important information you will then need.\\nThese print outputs will then appear in the \\'Observation:\\' field, which will be available as input for the next step.\\nIn the end you have to return a final answer using the `final_answer` tool with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. 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. 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. 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\\nHere are a few examples using notional tools:\\n---\\nTask: \"What is the result of the following operation: 5 + 3 + 1294.678?\"\\n\\nThought: I will use python code to compute the result of the operation and then return the final answer using the `final_answer` tool\\nCode:\\n```py\\nresult = 5 + 3 + 1294.678\\nfinal_answer(print(f\"FINAL ANSWER: {result}\"))\\n```\\n\\n---\\nTask:\\n\"Answer the question in the variable `question` about the image stored in the variable `image`. The question is in French.\\nYou have been provided with these additional arguments, that you can access using the keys as variables in your python code:\\n{\\'question\\': \\'Quel est l\\'animal sur l\\'image?\\', \\'image\\': \\'path/to/image.jpg\\'}\"\\n\\nThought: I will use the following tools: `translator` to translate the question into English and then `image_qa` to answer the question on the input image.\\nCode:\\n```py\\ntranslated_question = translator(question=question, src_lang=\"French\", tgt_lang=\"English\")\\nprint(f\"The translated question is {translated_question}.\")\\nanswer = image_qa(image=image, question=translated_question)\\nfinal_answer(f\"FINAL ANSWER {answer}\")\\n```\\n\\n---\\nTask:\\nIn a 1979 interview, Stanislaus Ulam discusses with Martin Sherwin about other great physicists of his time, including Oppenheimer.\\nWhat does he say was the consequence of Einstein learning too much math on his creativity, in one word?\\n\\nThought: I need to find and read the 1979 interview of Stanislaus Ulam with Martin Sherwin.\\nCode:\\n```py\\npages = search(query=\"1979 interview Stanislaus Ulam Martin Sherwin physicists Einstein\")\\nprint(pages)\\n```\\nObservation:\\nNo result found for query \"1979 interview Stanislaus Ulam Martin Sherwin physicists Einstein\".\\n\\nThought: The query was maybe too restrictive and did not find any results. Let\\'s try again with a broader query.\\nCode:\\n```py\\npages = search(query=\"1979 interview Stanislaus Ulam\")\\nprint(pages)\\n```\\nObservation:\\nFound 6 pages:\\n[Stanislaus Ulam 1979 interview](https://ahf.nuclearmuseum.org/voices/oral-histories/stanislaus-ulams-interview-1979/)\\n\\n[Ulam discusses Manhattan Project](https://ahf.nuclearmuseum.org/manhattan-project/ulam-manhattan-project/)\\n\\n(truncated)\\n\\nThought: I will read the first 2 pages to know more.\\nCode:\\n```py\\nfor url in [\"https://ahf.nuclearmuseum.org/voices/oral-histories/stanislaus-ulams-interview-1979/\", \"https://ahf.nuclearmuseum.org/manhattan-project/ulam-manhattan-project/\"]:\\n whole_page = visit_webpage(url)\\n print(whole_page)\\n print(\"\\\\n\" + \"=\"*80 + \"\\\\n\") # Print separator between pages\\n```\\nObservation:\\nManhattan Project Locations:\\nLos Alamos, NM\\nStanislaus Ulam was a Polish-American mathematician. He worked on the Manhattan Project at Los Alamos and later helped design the hydrogen bomb. In this interview, he discusses his work at\\n(truncated)\\n\\nThought: I now have the final answer: from the webpages visited, Stanislaus Ulam says of Einstein: \"He learned too much mathematics and sort of diminished, it seems to me personally, it seems to me his purely physics creativity.\" Let\\'s answer in one word.\\nCode:\\n```py\\nfinal_answer(\"FINAL ANSWER diminished\")\\n```\\n\\n---\\nTask: \"Which city has the highest population: Guangzhou or Shanghai?\"\\n\\nThought: I need to get the populations for both cities and compare them: I will use the tool `search` to get the population of both cities.\\nCode:\\n```py\\nfor city in [\"Guangzhou\", \"Shanghai\"]:\\n print(f\"Population {city}:\", search(f\"{city} population\")\\n```\\nObservation:\\nPopulation Guangzhou: [\\'Guangzhou has a population of 15 million inhabitants as of 2021.\\']\\nPopulation Shanghai: \\'26 million (2019)\\'\\n\\nThought: Now I know that Shanghai has the highest population.\\nCode:\\n```py\\nfinal_answer(\"FINAL ANSWER Shanghai\")\\n```\\n\\n---\\nTask: \"What is the current age of the pope, raised to the power 0.36?\"\\n\\nThought: I will use the tool `wiki` to get the age of the pope, and confirm that with a web search.\\nCode:\\n```py\\npope_age_wiki = wiki(query=\"current pope age\")\\nprint(\"Pope age as per wikipedia:\", pope_age_wiki)\\npope_age_search = web_search(query=\"current pope age\")\\nprint(\"Pope age as per google search:\", pope_age_search)\\n```\\nObservation:\\nPope age: \"The pope Francis is currently 88 years old.\"\\n\\nThought: I know that the pope is 88 years old. Let\\'s compute the result using python code.\\nCode:\\n```py\\npope_current_age = 88 ** 0.36\\nfinal_answer(f\"FINAL ANSWER {pope_current_age}\")\\n```\\n\\nAbove example were using notional tools that might not exist for you. On top of performing computations in the Python code snippets that you create, you only have access to these tools, behaving like regular python functions:\\n```python\\n{%- for tool in tools.values() %}\\ndef {{ tool.name }}({% for arg_name, arg_info in tool.inputs.items() %}{{ arg_name }}: {{ arg_info.type }}{% if not loop.last %}, {% endif %}{% endfor %}) -> {{tool.output_type}}:\\n \"\"\"{{ tool.description }}\\n\\n Args:\\n {%- for arg_name, arg_info in tool.inputs.items() %}\\n {{ arg_name }}: {{ arg_info.description }}\\n {%- endfor %}\\n \"\"\"\\n{% endfor %}\\n```\\n\\n{%- if managed_agents and managed_agents.values() | list %}\\nYou can also give tasks to team members.\\nCalling a team member works the same as for calling a tool: simply, the only argument you can give in the call is \\'task\\'.\\nGiven that this team member is a real human, you should be very verbose in your task, it should be a long string providing informations as detailed as necessary.\\nHere is a list of the team members that you can call:\\n```python\\n{%- for agent in managed_agents.values() %}\\ndef {{ agent.name }}(\"Your query goes here.\") -> str:\\n \"\"\"{{ agent.description }}\"\"\"\\n{% endfor %}\\n```\\n{%- endif %}\\n\\nHere are the rules you should always follow to solve your task:\\n1. Always provide a \\'Thought:\\' sequence, and a \\'Code:\\\\n```py\\' sequence ending with \\'```\\' sequence, else you will fail.\\n2. Use only variables that you have defined!\\n3. Always use the right arguments for the tools. DO NOT pass the arguments as a dict as in \\'answer = wiki({\\'query\\': \"What is the place where James Bond lives?\"})\\', but use the arguments directly as in \\'answer = wiki(query=\"What is the place where James Bond lives?\")\\'.\\n4. Take care to not chain too many sequential tool calls in the same code block, especially when the output format is unpredictable. For instance, a call to search has an unpredictable return format, so do not have another tool call that depends on its output in the same block: rather output results with print() to use them in the next block.\\n5. Call a tool only when needed, and never re-do a tool call that you previously did with the exact same parameters.\\n6. Don\\'t name any new variable with the same name as a tool: for instance don\\'t name a variable \\'final_answer\\'.\\n7. Never create any notional variables in our code, as having these in your logs will derail you from the true variables.\\n8. You can use imports in your code, but only from the following list of modules: {{authorized_imports}}\\n9. The state persists between code executions: so if in one step you\\'ve created variables or imported modules, these will all persist.\\n10. Don\\'t give up! You\\'re in charge of solving the task, not providing directions to solve it.\\n\\nNow Begin!',\n", " 'planning': {'initial_plan': 'You are a world expert at analyzing a situation to derive facts, and plan accordingly towards solving a task.\\nBelow I will present you a task. You will need to 1. build a survey of facts known or needed to solve the task, then 2. make a plan of action to solve the task.\\n\\n## 1. Facts survey\\nYou will build a comprehensive preparatory survey of which facts we have at our disposal and which ones we still need.\\nThese \"facts\" will typically be specific names, dates, values, etc. Your answer should use the below headings:\\n### 1.1. Facts given in the task\\nList here the specific facts given in the task that could help you (there might be nothing here).\\n\\n### 1.2. Facts to look up\\nList here any facts that we may need to look up.\\nAlso list where to find each of these, for instance a website, a file... - maybe the task contains some sources that you should re-use here.\\n\\n### 1.3. Facts to derive\\nList here anything that we want to derive from the above by logical reasoning, for instance computation or simulation.\\n\\nDon\\'t make any assumptions. For each item, provide a thorough reasoning. Do not add anything else on top of three headings above.\\n\\n## 2. Plan\\nThen for the given task, develop a step-by-step high-level plan taking into account the above inputs and list of facts.\\nThis plan should involve individual tasks based on the available tools, that if executed correctly will yield the correct answer.\\nDo not skip steps, do not add any superfluous steps. Only write the high-level plan, DO NOT DETAIL INDIVIDUAL TOOL CALLS.\\nAfter writing the final step of the plan, write the \\'\\\\n\\' tag and stop there.\\n\\nYou can leverage these tools, behaving like regular python functions:\\n```python\\n{%- for tool in tools.values() %}\\ndef {{ tool.name }}({% for arg_name, arg_info in tool.inputs.items() %}{{ arg_name }}: {{ arg_info.type }}{% if not loop.last %}, {% endif %}{% endfor %}) -> {{tool.output_type}}:\\n \"\"\"{{ tool.description }}\\n\\n Args:\\n {%- for arg_name, arg_info in tool.inputs.items() %}\\n {{ arg_name }}: {{ arg_info.description }}\\n {%- endfor %}\\n \"\"\"\\n{% endfor %}\\n```\\n\\n{%- if managed_agents and managed_agents.values() | list %}\\nYou can also give tasks to team members.\\nCalling a team member works the same as for calling a tool: simply, the only argument you can give in the call is \\'task\\'.\\nGiven that this team member is a real human, you should be very verbose in your task, it should be a long string providing informations as detailed as necessary.\\nHere is a list of the team members that you can call:\\n```python\\n{%- for agent in managed_agents.values() %}\\ndef {{ agent.name }}(\"Your query goes here.\") -> str:\\n \"\"\"{{ agent.description }}\"\"\"\\n{% endfor %}\\n```\\n{%- endif %}\\n\\n---\\nNow begin! Here is your task:\\n```\\n{{task}}\\n```\\nFirst in part 1, write the facts survey, then in part 2, write your plan.',\n", " 'update_plan_pre_messages': 'You are a world expert at analyzing a situation, and plan accordingly towards solving a task.\\nYou have been given the following task:\\n```\\n{{task}}\\n```\\n\\nBelow you will find a history of attempts made to solve this task.\\nYou will first have to produce a survey of known and unknown facts, then propose a step-by-step high-level plan to solve the task.\\nIf the previous tries so far have met some success, your updated plan can build on these results.\\nIf you are stalled, you can make a completely new plan starting from scratch.\\n\\nFind the task and history below:',\n", " 'update_plan_post_messages': 'Now write your updated facts below, taking into account the above history:\\n## 1. Updated facts survey\\n### 1.1. Facts given in the task\\n### 1.2. Facts that we have learned\\n### 1.3. Facts still to look up\\n### 1.4. Facts still to derive\\n\\nThen write a step-by-step high-level plan to solve the task above.\\n## 2. Plan\\n### 2. 1. ...\\nEtc.\\nThis plan should involve individual tasks based on the available tools, that if executed correctly will yield the correct answer.\\nBeware that you have {remaining_steps} steps remaining.\\nDo not skip steps, do not add any superfluous steps. Only write the high-level plan, DO NOT DETAIL INDIVIDUAL TOOL CALLS.\\nAfter writing the final step of the plan, write the \\'\\\\n\\' tag and stop there.\\n\\nYou can leverage these tools, behaving like regular python functions:\\n```python\\n{%- for tool in tools.values() %}\\ndef {{ tool.name }}({% for arg_name, arg_info in tool.inputs.items() %}{{ arg_name }}: {{ arg_info.type }}{% if not loop.last %}, {% endif %}{% endfor %}) -> {{tool.output_type}}:\\n \"\"\"{{ tool.description }}\\n\\n Args:\\n {%- for arg_name, arg_info in tool.inputs.items() %}\\n {{ arg_name }}: {{ arg_info.description }}\\n {%- endfor %}\"\"\"\\n{% endfor %}\\n```\\n\\n{%- if managed_agents and managed_agents.values() | list %}\\nYou can also give tasks to team members.\\nCalling a team member works the same as for calling a tool: simply, the only argument you can give in the call is \\'task\\'.\\nGiven that this team member is a real human, you should be very verbose in your task, it should be a long string providing informations as detailed as necessary.\\nHere is a list of the team members that you can call:\\n```python\\n{%- for agent in managed_agents.values() %}\\ndef {{ agent.name }}(\"Your query goes here.\") -> str:\\n \"\"\"{{ agent.description }}\"\"\"\\n{% endfor %}\\n```\\n{%- endif %}\\n\\nNow write your updated facts survey below, then your new plan.'},\n", " 'managed_agent': {'task': \"You're a helpful agent named '{{name}}'.\\nYou have been submitted this task by your manager.\\n---\\nTask:\\n{{task}}\\n---\\nYou're helping your manager solve a wider task: so make sure to not provide a one-line answer, but give as much information as possible to give them a clear understanding of the answer.\\n\\nYour final_answer WILL HAVE to contain these parts:\\n### 1. Task outcome (short version):\\n### 2. Task outcome (extremely detailed version):\\n### 3. Additional context (if relevant):\\n\\nPut all these in your final_answer tool, everything that you do not pass as an argument to final_answer will be lost.\\nAnd even if your task resolution is not successful, please return as much context as possible, so that your manager can act upon this feedback.\",\n", " 'report': \"Here is the final answer from your managed agent '{{name}}':\\n{{final_answer}}\"},\n", " 'final_answer': {'pre_messages': \"An agent tried to answer a user query but it got stuck and failed to do so. You are tasked with providing an answer instead. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. 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. 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. 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. Here is the agent's memory:\",\n", " 'post_messages': 'Based on the above, please provide an answer to the following user task:\\n{{task}}'}}" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# if os.path.exists(\"agent_prompt_templates.json\"):\n", "# with open(\"agent_prompt_templates.json\", \"r\") as f:\n", "# prompt_templates = json.load(f)\n", "# else:\n", "prompt_templates = {'system_prompt': 'You are an expert assistant who can solve any task using code blobs. You will be given a task to solve as best you can.\\nTo do so, you have been given access to a list of tools: these tools are basically Python functions which you can call with code.\\nTo solve the task, you must plan forward to proceed in a series of steps, in a cycle of \\'Thought:\\', \\'Code:\\', and \\'Observation:\\' sequences.\\n\\nAt each step, in the \\'Thought:\\' sequence, you should first explain your reasoning towards solving the task and the tools that you want to use.\\nThen in the \\'Code:\\' sequence, you should write the code in simple Python. The code sequence must end with \\'\\' sequence.\\nDuring each intermediate step, you can use \\'print()\\' to save whatever important information you will then need.\\nThese print outputs will then appear in the \\'Observation:\\' field, which will be available as input for the next step.\\nIn the end you have to return a final answer using the `final_answer` tool with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. 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. 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. 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\\nHere are a few examples using notional tools:\\n---\\nTask: \"What is the result of the following operation: 5 + 3 + 1294.678?\"\\n\\nThought: I will use python code to compute the result of the operation and then return the final answer using the `final_answer` tool\\nCode:\\n```py\\nresult = 5 + 3 + 1294.678\\nfinal_answer(print(f\"FINAL ANSWER: {result}\"))\\n```\\n\\n---\\nTask:\\n\"Answer the question in the variable `question` about the image stored in the variable `image`. The question is in French.\\nYou have been provided with these additional arguments, that you can access using the keys as variables in your python code:\\n{\\'question\\': \\'Quel est l\\'animal sur l\\'image?\\', \\'image\\': \\'path/to/image.jpg\\'}\"\\n\\nThought: I will use the following tools: `translator` to translate the question into English and then `image_qa` to answer the question on the input image.\\nCode:\\n```py\\ntranslated_question = translator(question=question, src_lang=\"French\", tgt_lang=\"English\")\\nprint(f\"The translated question is {translated_question}.\")\\nanswer = image_qa(image=image, question=translated_question)\\nfinal_answer(f\"FINAL ANSWER {answer}\")\\n```\\n\\n---\\nTask:\\nIn a 1979 interview, Stanislaus Ulam discusses with Martin Sherwin about other great physicists of his time, including Oppenheimer.\\nWhat does he say was the consequence of Einstein learning too much math on his creativity, in one word?\\n\\nThought: I need to find and read the 1979 interview of Stanislaus Ulam with Martin Sherwin.\\nCode:\\n```py\\npages = search(query=\"1979 interview Stanislaus Ulam Martin Sherwin physicists Einstein\")\\nprint(pages)\\n```\\nObservation:\\nNo result found for query \"1979 interview Stanislaus Ulam Martin Sherwin physicists Einstein\".\\n\\nThought: The query was maybe too restrictive and did not find any results. Let\\'s try again with a broader query.\\nCode:\\n```py\\npages = search(query=\"1979 interview Stanislaus Ulam\")\\nprint(pages)\\n```\\nObservation:\\nFound 6 pages:\\n[Stanislaus Ulam 1979 interview](https://ahf.nuclearmuseum.org/voices/oral-histories/stanislaus-ulams-interview-1979/)\\n\\n[Ulam discusses Manhattan Project](https://ahf.nuclearmuseum.org/manhattan-project/ulam-manhattan-project/)\\n\\n(truncated)\\n\\nThought: I will read the first 2 pages to know more.\\nCode:\\n```py\\nfor url in [\"https://ahf.nuclearmuseum.org/voices/oral-histories/stanislaus-ulams-interview-1979/\", \"https://ahf.nuclearmuseum.org/manhattan-project/ulam-manhattan-project/\"]:\\n whole_page = visit_webpage(url)\\n print(whole_page)\\n print(\"\\\\n\" + \"=\"*80 + \"\\\\n\") # Print separator between pages\\n```\\nObservation:\\nManhattan Project Locations:\\nLos Alamos, NM\\nStanislaus Ulam was a Polish-American mathematician. He worked on the Manhattan Project at Los Alamos and later helped design the hydrogen bomb. In this interview, he discusses his work at\\n(truncated)\\n\\nThought: I now have the final answer: from the webpages visited, Stanislaus Ulam says of Einstein: \"He learned too much mathematics and sort of diminished, it seems to me personally, it seems to me his purely physics creativity.\" Let\\'s answer in one word.\\nCode:\\n```py\\nfinal_answer(\"FINAL ANSWER diminished\")\\n```\\n\\n---\\nTask: \"Which city has the highest population: Guangzhou or Shanghai?\"\\n\\nThought: I need to get the populations for both cities and compare them: I will use the tool `search` to get the population of both cities.\\nCode:\\n```py\\nfor city in [\"Guangzhou\", \"Shanghai\"]:\\n print(f\"Population {city}:\", search(f\"{city} population\")\\n```\\nObservation:\\nPopulation Guangzhou: [\\'Guangzhou has a population of 15 million inhabitants as of 2021.\\']\\nPopulation Shanghai: \\'26 million (2019)\\'\\n\\nThought: Now I know that Shanghai has the highest population.\\nCode:\\n```py\\nfinal_answer(\"FINAL ANSWER Shanghai\")\\n```\\n\\n---\\nTask: \"What is the current age of the pope, raised to the power 0.36?\"\\n\\nThought: I will use the tool `wiki` to get the age of the pope, and confirm that with a web search.\\nCode:\\n```py\\npope_age_wiki = wiki(query=\"current pope age\")\\nprint(\"Pope age as per wikipedia:\", pope_age_wiki)\\npope_age_search = web_search(query=\"current pope age\")\\nprint(\"Pope age as per google search:\", pope_age_search)\\n```\\nObservation:\\nPope age: \"The pope Francis is currently 88 years old.\"\\n\\nThought: I know that the pope is 88 years old. Let\\'s compute the result using python code.\\nCode:\\n```py\\npope_current_age = 88 ** 0.36\\nfinal_answer(f\"FINAL ANSWER {pope_current_age}\")\\n```\\n\\nAbove example were using notional tools that might not exist for you. On top of performing computations in the Python code snippets that you create, you only have access to these tools, behaving like regular python functions:\\n```python\\n{%- for tool in tools.values() %}\\ndef {{ tool.name }}({% for arg_name, arg_info in tool.inputs.items() %}{{ arg_name }}: {{ arg_info.type }}{% if not loop.last %}, {% endif %}{% endfor %}) -> {{tool.output_type}}:\\n \"\"\"{{ tool.description }}\\n\\n Args:\\n {%- for arg_name, arg_info in tool.inputs.items() %}\\n {{ arg_name }}: {{ arg_info.description }}\\n {%- endfor %}\\n \"\"\"\\n{% endfor %}\\n```\\n\\n{%- if managed_agents and managed_agents.values() | list %}\\nYou can also give tasks to team members.\\nCalling a team member works the same as for calling a tool: simply, the only argument you can give in the call is \\'task\\'.\\nGiven that this team member is a real human, you should be very verbose in your task, it should be a long string providing informations as detailed as necessary.\\nHere is a list of the team members that you can call:\\n```python\\n{%- for agent in managed_agents.values() %}\\ndef {{ agent.name }}(\"Your query goes here.\") -> str:\\n \"\"\"{{ agent.description }}\"\"\"\\n{% endfor %}\\n```\\n{%- endif %}\\n\\nHere are the rules you should always follow to solve your task:\\n1. Always provide a \\'Thought:\\' sequence, and a \\'Code:\\\\n```py\\' sequence ending with \\'```\\' sequence, else you will fail.\\n2. Use only variables that you have defined!\\n3. Always use the right arguments for the tools. DO NOT pass the arguments as a dict as in \\'answer = wiki({\\'query\\': \"What is the place where James Bond lives?\"})\\', but use the arguments directly as in \\'answer = wiki(query=\"What is the place where James Bond lives?\")\\'.\\n4. Take care to not chain too many sequential tool calls in the same code block, especially when the output format is unpredictable. For instance, a call to search has an unpredictable return format, so do not have another tool call that depends on its output in the same block: rather output results with print() to use them in the next block.\\n5. Call a tool only when needed, and never re-do a tool call that you previously did with the exact same parameters.\\n6. Don\\'t name any new variable with the same name as a tool: for instance don\\'t name a variable \\'final_answer\\'.\\n7. Never create any notional variables in our code, as having these in your logs will derail you from the true variables.\\n8. You can use imports in your code, but only from the following list of modules: {{authorized_imports}}\\n9. The state persists between code executions: so if in one step you\\'ve created variables or imported modules, these will all persist.\\n10. Don\\'t give up! You\\'re in charge of solving the task, not providing directions to solve it.\\n\\nNow Begin!',\n", " 'planning': {'initial_plan': 'You are a world expert at analyzing a situation to derive facts, and plan accordingly towards solving a task.\\nBelow I will present you a task. You will need to 1. build a survey of facts known or needed to solve the task, then 2. make a plan of action to solve the task.\\n\\n## 1. Facts survey\\nYou will build a comprehensive preparatory survey of which facts we have at our disposal and which ones we still need.\\nThese \"facts\" will typically be specific names, dates, values, etc. Your answer should use the below headings:\\n### 1.1. Facts given in the task\\nList here the specific facts given in the task that could help you (there might be nothing here).\\n\\n### 1.2. Facts to look up\\nList here any facts that we may need to look up.\\nAlso list where to find each of these, for instance a website, a file... - maybe the task contains some sources that you should re-use here.\\n\\n### 1.3. Facts to derive\\nList here anything that we want to derive from the above by logical reasoning, for instance computation or simulation.\\n\\nDon\\'t make any assumptions. For each item, provide a thorough reasoning. Do not add anything else on top of three headings above.\\n\\n## 2. Plan\\nThen for the given task, develop a step-by-step high-level plan taking into account the above inputs and list of facts.\\nThis plan should involve individual tasks based on the available tools, that if executed correctly will yield the correct answer.\\nDo not skip steps, do not add any superfluous steps. Only write the high-level plan, DO NOT DETAIL INDIVIDUAL TOOL CALLS.\\nAfter writing the final step of the plan, write the \\'\\\\n\\' tag and stop there.\\n\\nYou can leverage these tools, behaving like regular python functions:\\n```python\\n{%- for tool in tools.values() %}\\ndef {{ tool.name }}({% for arg_name, arg_info in tool.inputs.items() %}{{ arg_name }}: {{ arg_info.type }}{% if not loop.last %}, {% endif %}{% endfor %}) -> {{tool.output_type}}:\\n \"\"\"{{ tool.description }}\\n\\n Args:\\n {%- for arg_name, arg_info in tool.inputs.items() %}\\n {{ arg_name }}: {{ arg_info.description }}\\n {%- endfor %}\\n \"\"\"\\n{% endfor %}\\n```\\n\\n{%- if managed_agents and managed_agents.values() | list %}\\nYou can also give tasks to team members.\\nCalling a team member works the same as for calling a tool: simply, the only argument you can give in the call is \\'task\\'.\\nGiven that this team member is a real human, you should be very verbose in your task, it should be a long string providing informations as detailed as necessary.\\nHere is a list of the team members that you can call:\\n```python\\n{%- for agent in managed_agents.values() %}\\ndef {{ agent.name }}(\"Your query goes here.\") -> str:\\n \"\"\"{{ agent.description }}\"\"\"\\n{% endfor %}\\n```\\n{%- endif %}\\n\\n---\\nNow begin! Here is your task:\\n```\\n{{task}}\\n```\\nFirst in part 1, write the facts survey, then in part 2, write your plan.',\n", " 'update_plan_pre_messages': 'You are a world expert at analyzing a situation, and plan accordingly towards solving a task.\\nYou have been given the following task:\\n```\\n{{task}}\\n```\\n\\nBelow you will find a history of attempts made to solve this task.\\nYou will first have to produce a survey of known and unknown facts, then propose a step-by-step high-level plan to solve the task.\\nIf the previous tries so far have met some success, your updated plan can build on these results.\\nIf you are stalled, you can make a completely new plan starting from scratch.\\n\\nFind the task and history below:',\n", " 'update_plan_post_messages': 'Now write your updated facts below, taking into account the above history:\\n## 1. Updated facts survey\\n### 1.1. Facts given in the task\\n### 1.2. Facts that we have learned\\n### 1.3. Facts still to look up\\n### 1.4. Facts still to derive\\n\\nThen write a step-by-step high-level plan to solve the task above.\\n## 2. Plan\\n### 2. 1. ...\\nEtc.\\nThis plan should involve individual tasks based on the available tools, that if executed correctly will yield the correct answer.\\nBeware that you have {remaining_steps} steps remaining.\\nDo not skip steps, do not add any superfluous steps. Only write the high-level plan, DO NOT DETAIL INDIVIDUAL TOOL CALLS.\\nAfter writing the final step of the plan, write the \\'\\\\n\\' tag and stop there.\\n\\nYou can leverage these tools, behaving like regular python functions:\\n```python\\n{%- for tool in tools.values() %}\\ndef {{ tool.name }}({% for arg_name, arg_info in tool.inputs.items() %}{{ arg_name }}: {{ arg_info.type }}{% if not loop.last %}, {% endif %}{% endfor %}) -> {{tool.output_type}}:\\n \"\"\"{{ tool.description }}\\n\\n Args:\\n {%- for arg_name, arg_info in tool.inputs.items() %}\\n {{ arg_name }}: {{ arg_info.description }}\\n {%- endfor %}\"\"\"\\n{% endfor %}\\n```\\n\\n{%- if managed_agents and managed_agents.values() | list %}\\nYou can also give tasks to team members.\\nCalling a team member works the same as for calling a tool: simply, the only argument you can give in the call is \\'task\\'.\\nGiven that this team member is a real human, you should be very verbose in your task, it should be a long string providing informations as detailed as necessary.\\nHere is a list of the team members that you can call:\\n```python\\n{%- for agent in managed_agents.values() %}\\ndef {{ agent.name }}(\"Your query goes here.\") -> str:\\n \"\"\"{{ agent.description }}\"\"\"\\n{% endfor %}\\n```\\n{%- endif %}\\n\\nNow write your updated facts survey below, then your new plan.'},\n", " 'managed_agent': {'task': \"You're a helpful agent named '{{name}}'.\\nYou have been submitted this task by your manager.\\n---\\nTask:\\n{{task}}\\n---\\nYou're helping your manager solve a wider task: so make sure to not provide a one-line answer, but give as much information as possible to give them a clear understanding of the answer.\\n\\nYour final_answer WILL HAVE to contain these parts:\\n### 1. Task outcome (short version):\\n### 2. Task outcome (extremely detailed version):\\n### 3. Additional context (if relevant):\\n\\nPut all these in your final_answer tool, everything that you do not pass as an argument to final_answer will be lost.\\nAnd even if your task resolution is not successful, please return as much context as possible, so that your manager can act upon this feedback.\",\n", " 'report': \"Here is the final answer from your managed agent '{{name}}':\\n{{final_answer}}\"},\n", " 'final_answer': {'pre_messages': \"An agent tried to answer a user query but it got stuck and failed to do so. You are tasked with providing an answer instead. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. 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. 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. 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. Here is the agent's memory:\",\n", " 'post_messages': 'Based on the above, please provide an answer to the following user task:\\n{{task}}'}}\n", "\n", "prompt_templates" ] }, { "cell_type": "code", "execution_count": 6, "id": "dc050b37", "metadata": {}, "outputs": [], "source": [ "agent = CodeAgent(\n", " tools=tools,\n", " model=model,\n", " prompt_templates = prompt_templates,\n", " max_steps=10, # should be enough, first guess --> to check\n", " planning_interval=3, # should be enough, first guess --> to check\n", " verbosity_level=2, # 0: no output, 1: only errors, 2: all outputs \n", " additional_authorized_imports=[\"datetime\", \"numpy\", \"requests\", \"json\", \"re\", \n", " \"bs4\", \"pandas\", \"lxml\", \"pymupdf\", \"openpyxl\", \n", " \"scipy\", \"PIL\", \"cv2\"], \n", " )" ] }, { "cell_type": "code", "execution_count": 7, "id": "ebe5af0b", "metadata": {}, "outputs": [], "source": [ "# get environment variable HF_API_TOKEN\n", "import os\n", "from huggingface_hub import login\n", "login(token=os.getenv(\"HF_API_TOKEN\", None))" ] }, { "cell_type": "code", "execution_count": 10, "id": "4c9ff592", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Fetching questions from: https://agents-course-unit4-scoring.hf.space/questions\n", "Fetched 20 questions.\n", "Running agent on 20 questions...\n" ] } ], "source": [ "# 2. Fetch Questions\n", "DEFAULT_API_URL = \"https://agents-course-unit4-scoring.hf.space\"\n", "\n", "api_url = DEFAULT_API_URL\n", "questions_url = f\"{api_url}/questions\"\n", "submit_url = f\"{api_url}/submit\"\n", "\n", "\n", "print(f\"Fetching questions from: {questions_url}\")\n", "try:\n", " response = requests.get(questions_url, timeout=15)\n", " response.raise_for_status()\n", " questions_data = response.json()\n", " if not questions_data:\n", " print(\"Fetched questions list is empty.\")\n", "\n", " print(f\"Fetched {len(questions_data)} questions.\")\n", "except requests.exceptions.RequestException as e:\n", " print(f\"Error fetching questions: {e}\")\n", "\n", "except requests.exceptions.JSONDecodeError as e:\n", " print(f\"Error decoding JSON response from questions endpoint: {e}\")\n", " print(f\"Response text: {response.text[:500]}\")\n", "\n", "except Exception as e:\n", " print(f\"An unexpected error occurred fetching questions: {e}\")\n", "\n", "results_log = []\n", "answers_payload = []\n", "print(f\"Running agent on {len(questions_data)} questions...\")" ] }, { "cell_type": "code", "execution_count": 11, "id": "5f8b191f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running agent on 20 questions...\n" ] }, { "data": { "text/plain": [ "'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?'" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 3. Run your Agent\n", "os.makedirs(\"downloaded_files\", exist_ok=True)\n", "results_log = []\n", "answers_payload = []\n", "print(f\"Running agent on {len(questions_data)} questions...\")\n", "# for item in questions_data:\n", "\n", "\n", "item = questions_data[19] \n", "\n", "task_id = item.get(\"task_id\")\n", "question_text = item.get(\"question\")\n", "\n", "question_text" ] }, { "cell_type": "code", "execution_count": 150, "id": "65b9f3a8", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
╭──────────────────────────────────────────────────── New run ────────────────────────────────────────────────────╮\n",
       "│                                                                                                                 │\n",
       "│ You're a helpful agent named 'None'.                                                                            │\n",
       "│ You have been submitted this task by your manager.                                                              │\n",
       "│ ---                                                                                                             │\n",
       "│ Task:                                                                                                           │\n",
       "│ What is the first name of the only Malko Competition recipient from the 20th Century (after 1977) whose         │\n",
       "│ nationality on record is a country that no longer exists?                                                       │\n",
       "│ ---                                                                                                             │\n",
       "│ You're helping your manager solve a wider task: so make sure to not provide a one-line answer, but give as much │\n",
       "│ information as possible to give them a clear understanding of the answer.                                       │\n",
       "│                                                                                                                 │\n",
       "│ Your final_answer WILL HAVE to contain these parts:                                                             │\n",
       "│ ### 1. Task outcome (short version):                                                                            │\n",
       "│ ### 2. Task outcome (extremely detailed version):                                                               │\n",
       "│ ### 3. Additional context (if relevant):                                                                        │\n",
       "│                                                                                                                 │\n",
       "│ Put all these in your final_answer tool, everything that you do not pass as an argument to final_answer will be │\n",
       "│ lost.                                                                                                           │\n",
       "│ And even if your task resolution is not successful, please return as much context as possible, so that your     │\n",
       "│ manager can act upon this feedback.                                                                             │\n",
       "│                                                                                                                 │\n",
       "╰─ LiteLLMModel - ollama/devstral:24b ────────────────────────────────────────────────────────────────────────────╯\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\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[1mYou're a helpful agent named 'None'.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYou have been submitted this task by your manager.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m---\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mTask:\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mWhat is the first name of the only Malko Competition recipient from the 20th Century (after 1977) whose \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mnationality on record is a country that no longer exists?\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m---\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYou're helping your manager solve a wider task: so make sure to not provide a one-line answer, but give as much\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1minformation as possible to give them a clear understanding of the answer.\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[1mYour final_answer WILL HAVE to contain these parts:\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m### 1. Task outcome (short version):\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m### 2. Task outcome (extremely detailed version):\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m### 3. Additional context (if relevant):\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[1mPut all these in your final_answer tool, everything that you do not pass as an argument to final_answer will be\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mlost.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mAnd even if your task resolution is not successful, please return as much context as possible, so that your \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mmanager can act upon this feedback.\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 LiteLLMModel - ollama/devstral:24b \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 competition is called \"Malko Competition\".\n",
       "- The recipient must be from the 20th Century but after 1977.\n",
       "- The recipient's nationality on record should be a country that no longer exists.\n",
       "\n",
       "### 1.2. Facts to look up\n",
       "- List of Malko Competition recipients and their nationalities, specifically focusing on those who received the \n",
       "award between 1978 and 2000 (the end of the 20th century).\n",
       "- Countries that have ceased to exist during or before this period.\n",
       "- The first name of the recipient matching the criteria.\n",
       "\n",
       "#### Where to find these facts:\n",
       "- Wikipedia page for Malko Competition: This should contain a list of laureates and their nationalities.\n",
       "- World history resources (e.g., Wikipedia) to verify which countries no longer exist, especially those that were \n",
       "relevant in the 20th century.\n",
       "\n",
       "### 1.3. Facts to derive\n",
       "- Identify any recipient whose nationality is from a country that no longer exists based on the list obtained.\n",
       "- From this subset, determine the first recipient after 1977 and their first name.\n",
       "\n",
       "## 2. Plan\n",
       "\n",
       "1. **Search for Malko Competition Wikipedia page:**\n",
       "   - Use `get_wikipedia_markdown` to fetch details about the competition, focusing on laureates and their \n",
       "nationalities.\n",
       "\n",
       "2. **Extract list of recipients and their nationalities:**\n",
       "   - Parse the extracted information from the Wikipedia page to get a comprehensive list of winners after 1977 \n",
       "along with their nationalities.\n",
       "\n",
       "3. **Identify countries that no longer exist by the end of the 20th century:**\n",
       "   - Use `web_search` or look up Wikipedia pages on defunct countries to determine which countries fit this \n",
       "criterion.\n",
       "\n",
       "4. **Cross-reference recipients' nationalities with list of defunct countries:**\n",
       "   - Identify any recipient whose nationality matches a country that no longer exists.\n",
       "\n",
       "5. **Select the first recipient after 1977 matching the criteria:**\n",
       "   - From the filtered list, find the first person who won the competition and their first name.\n",
       "\n",
       "6. **Compile detailed information for final submission:**\n",
       "   - Gather all relevant details about this recipient including full name, year of winning, former nationality, \n",
       "etc.\n",
       "\n",
       "7. **Format the answer according to requirements:**\n",
       "   - Provide a structured response containing:\n",
       "     1. Task outcome (short version)\n",
       "     2. Task outcome (extremely detailed version)\n",
       "     3. Additional context if relevant\n",
       "\n",
       "8. **Submit final answer using `final_answer` tool.**\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 competition is called \"Malko Competition\".\n", "- The recipient must be from the 20th Century but after 1977.\n", "- The recipient's nationality on record should be a country that no longer exists.\n", "\n", "### 1.2. Facts to look up\n", "- List of Malko Competition recipients and their nationalities, specifically focusing on those who received the \n", "award between 1978 and 2000 (the end of the 20th century).\n", "- Countries that have ceased to exist during or before this period.\n", "- The first name of the recipient matching the criteria.\n", "\n", "#### Where to find these facts:\n", "- Wikipedia page for Malko Competition: This should contain a list of laureates and their nationalities.\n", "- World history resources (e.g., Wikipedia) to verify which countries no longer exist, especially those that were \n", "relevant in the 20th century.\n", "\n", "### 1.3. Facts to derive\n", "- Identify any recipient whose nationality is from a country that no longer exists based on the list obtained.\n", "- From this subset, determine the first recipient after 1977 and their first name.\n", "\n", "## 2. Plan\n", "\n", "1. **Search for Malko Competition Wikipedia page:**\n", " - Use `get_wikipedia_markdown` to fetch details about the competition, focusing on laureates and their \n", "nationalities.\n", "\n", "2. **Extract list of recipients and their nationalities:**\n", " - Parse the extracted information from the Wikipedia page to get a comprehensive list of winners after 1977 \n", "along with their nationalities.\n", "\n", "3. **Identify countries that no longer exist by the end of the 20th century:**\n", " - Use `web_search` or look up Wikipedia pages on defunct countries to determine which countries fit this \n", "criterion.\n", "\n", "4. **Cross-reference recipients' nationalities with list of defunct countries:**\n", " - Identify any recipient whose nationality matches a country that no longer exists.\n", "\n", "5. **Select the first recipient after 1977 matching the criteria:**\n", " - From the filtered list, find the first person who won the competition and their first name.\n", "\n", "6. **Compile detailed information for final submission:**\n", " - Gather all relevant details about this recipient including full name, year of winning, former nationality, \n", "etc.\n", "\n", "7. **Format the answer according to requirements:**\n", " - Provide a structured response containing:\n", " 1. Task outcome (short version)\n", " 2. Task outcome (extremely detailed version)\n", " 3. Additional context if relevant\n", "\n", "8. **Submit final answer using `final_answer` tool.**\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",
       "Thought: Let's start by searching for the Wikipedia page on the Malko Competition to find a list of laureates,     \n",
       "their nationalities, and years they won.                                                                           \n",
       "Code:                                                                                                              \n",
       "```py                                                                                                              \n",
       "competition_page = get_wikipedia_markdown(title=\"Malko Competition\", lang=\"en\", ignore_references=True,            \n",
       "ignore_links=True)                                                                                                 \n",
       "print(\"Wikipedia page content about Malko Competition:\")                                                           \n",
       "print(competition_page)                                                                                            \n",
       "```                                                                                                                \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;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;23msearching\u001b[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;23mWikipedia\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mpage\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mon\u001b[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;23mMalko\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mCompetition\u001b[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;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;23mlist\u001b[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;23mlaureates,\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;23mtheir\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mnationalities,\u001b[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;23myears\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthey\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwon.\u001b[0m\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;165;214;255;48;2;13;17;23m```\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mpy\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mcompetition_page\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[1;38;2;255;123;114;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_wikipedia_markdown\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m(\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtitle\u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mMalko Competition\u001b[0m\u001b[38;2;165;214;255;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;23mlang\u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23men\u001b[0m\u001b[38;2;165;214;255;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;23mignore_references\u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23mTrue\u001b[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;23mignore_links\u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23mTrue\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;23mprint\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\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mWikipedia page content about Malko Competition:\u001b[0m\u001b[38;2;165;214;255;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;23mprint\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m(\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcompetition_page\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;165;214;255;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",
       "  competition_page = get_wikipedia_markdown(title=\"Malko Competition\", lang=\"en\", ignore_references=True,          \n",
       "  ignore_links=True)                                                                                               \n",
       "  print(\"Wikipedia page content about Malko Competition:\")                                                         \n",
       "  print(competition_page)                                                                                          \n",
       " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
       "
\n" ], "text/plain": [ " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n", " \u001b[38;2;248;248;242;48;2;39;40;34mcompetition_page\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_wikipedia_markdown\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;34mtitle\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;34mMalko Competition\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;248;248;242;48;2;39;40;34mlang\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;34men\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;248;248;242;48;2;39;40;34mignore_references\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mTrue\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;34mignore_links\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mTrue\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;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mWikipedia page content about Malko Competition:\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;34mcompetition_page\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",
       "Wikipedia page content about Malko Competition:\n",
       "International competition for young conductors\n",
       "\n",
       "The **Malko Competition** is an international competition for young conductors. It is held every three years by the\n",
       "Danish Radio Symphony Orchestra, to commemorate its founding conductor, Nicolai Malko.\n",
       "\n",
       "Recipients\n",
       "----------\n",
       "\n",
       "| Year | Recipient | Lifetime | Nationality | Notes |\n",
       "| --- | --- | --- | --- | --- |\n",
       "| 1965 | Ralf Weikert | b. 1940 | Austria | |\n",
       "| 1968 | Avi Ostrowsky | b. 1939 | Israel | |\n",
       "| 1971 | Winston Dan Vogel | b. 1943 | United States | |\n",
       "| 1974 | Gotthard Lienicke | | | |\n",
       "| 1977 | Philip Barry Greenberg | | United States | |\n",
       "| 1980 | Maximiano Valdés | b. 1949 | Chile | |\n",
       "| 1983 | Claus Peter Flor | b. 1953 | East Germany | |\n",
       "| 1986 | Kazufumi Yamashita | b. 1961 | Japan | |\n",
       "| 1989 | Fabio Mechetti | b. 1957 | Brazil | |\n",
       "| 1992 | Jin Wang | b. 1960 | Austria | |\n",
       "| 1995 | Jan Wagner | | Venezuela | |\n",
       "| 1998 | Seikyo Kim | b. 1970 | Japan | |\n",
       "| 2001 | Josep Caballé Domenech | b. 1973 | Spain | |\n",
       "| 2005 | Mei-Ann Chen | b. 1973 | United States | |\n",
       "| 2009 | Joshua Weilerstein | b. 1987 | United States | |\n",
       "| 2012 | Rafael Payare | b. 1980 | Venezuela | |\n",
       "| 2015 | Tung-Chieh Chuang | b. 1982 | Taiwan | |\n",
       "| 2018 | Ryan Bancroft | b. 1989 | United States | |\n",
       "| 2021 | Dmitry Matvienko | b. 1990 | Belarus | |\n",
       "| 2024 | Samuel Seungwon Lee | b. 1990 | South Korea | |\n",
       "\n",
       "Notes\n",
       "-----\n",
       "\n",
       "1. **^** No first prize was awarded in 2001, and Caballé-Domenech was appointed the highest (2nd) prize.\n",
       "\n",
       "Out: None\n",
       "
\n" ], "text/plain": [ "\u001b[1mExecution logs:\u001b[0m\n", "Wikipedia page content about Malko Competition:\n", "International competition for young conductors\n", "\n", "The **Malko Competition** is an international competition for young conductors. It is held every three years by the\n", "Danish Radio Symphony Orchestra, to commemorate its founding conductor, Nicolai Malko.\n", "\n", "Recipients\n", "----------\n", "\n", "| Year | Recipient | Lifetime | Nationality | Notes |\n", "| --- | --- | --- | --- | --- |\n", "| 1965 | Ralf Weikert | b. 1940 | Austria | |\n", "| 1968 | Avi Ostrowsky | b. 1939 | Israel | |\n", "| 1971 | Winston Dan Vogel | b. 1943 | United States | |\n", "| 1974 | Gotthard Lienicke | | | |\n", "| 1977 | Philip Barry Greenberg | | United States | |\n", "| 1980 | Maximiano Valdés | b. 1949 | Chile | |\n", "| 1983 | Claus Peter Flor | b. 1953 | East Germany | |\n", "| 1986 | Kazufumi Yamashita | b. 1961 | Japan | |\n", "| 1989 | Fabio Mechetti | b. 1957 | Brazil | |\n", "| 1992 | Jin Wang | b. 1960 | Austria | |\n", "| 1995 | Jan Wagner | | Venezuela | |\n", "| 1998 | Seikyo Kim | b. 1970 | Japan | |\n", "| 2001 | Josep Caballé Domenech | b. 1973 | Spain | |\n", "| 2005 | Mei-Ann Chen | b. 1973 | United States | |\n", "| 2009 | Joshua Weilerstein | b. 1987 | United States | |\n", "| 2012 | Rafael Payare | b. 1980 | Venezuela | |\n", "| 2015 | Tung-Chieh Chuang | b. 1982 | Taiwan | |\n", "| 2018 | Ryan Bancroft | b. 1989 | United States | |\n", "| 2021 | Dmitry Matvienko | b. 1990 | Belarus | |\n", "| 2024 | Samuel Seungwon Lee | b. 1990 | South Korea | |\n", "\n", "Notes\n", "-----\n", "\n", "1. **^** No first prize was awarded in 2001, and Caballé-Domenech was appointed the highest (2nd) prize.\n", "\n", "Out: None\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 1: Duration 101.86 seconds| Input tokens: 4,655 | Output tokens: 92]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 1: Duration 101.86 seconds| Input tokens: 4,655 | Output tokens: 92]\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 a list of recipients, their nationalities, and years they won, I need to identify those   \n",
       "whose nationality corresponds to a country that no longer exists by the end of the 20th century. East Germany is   \n",
       "one such country (it ceased to exist in 1990). The recipient from East Germany was Claus Peter Flor who won in     \n",
       "1983. Let's now confirm that East Germany is indeed a defunct country and gather more context about it.            \n",
       "Code:                                                                                                              \n",
       "```py                                                                                                              \n",
       "east_germany_page = get_wikipedia_markdown(title=\"East_Germany\", lang=\"en\", ignore_references=True,                \n",
       "ignore_links=True)                                                                                                 \n",
       "print(\"Wikipedia page content about East Germany:\")                                                                \n",
       "print(east_germany_page)                                                                                           \n",
       "                                                                                                                   \n",
       "# Confirming Claus Peter Flor's details                                                                            \n",
       "claus_peter_flor_search = web_search(query=\"Claus Peter Flor nationality\")                                         \n",
       "print(\"\\nWeb search results for Claus Peter Flor's nationality:\")                                                  \n",
       "print(claus_peter_flor_search)                                                                                     \n",
       "```                                                                                                                \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;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;23mlist\u001b[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;23mrecipients,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtheir\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mnationalities,\u001b[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;23myears\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthey\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwon,\u001b[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;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;23mthose\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;23mwhose\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mnationality\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcorresponds\u001b[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;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;23mcountry\u001b[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;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;23mlonger\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mexists\u001b[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;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;23mend\u001b[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;23m20th\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcentury.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mEast\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mGermany\u001b[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;23mone\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msuch\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcountry\u001b[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(it\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mceased\u001b[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;23mexist\u001b[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;23m1990).\u001b[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;23mrecipient\u001b[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;23mEast\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mGermany\u001b[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;23mClaus\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mPeter\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFlor\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\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;23mwon\u001b[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[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m1983.\u001b[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;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;23mconfirm\u001b[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;23mEast\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mGermany\u001b[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;23mindeed\u001b[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;23mdefunct\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcountry\u001b[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;23mgather\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmore\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcontext\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mabout\u001b[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[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;165;214;255;48;2;13;17;23m```\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mpy\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23meast_germany_page\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[1;38;2;255;123;114;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_wikipedia_markdown\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m(\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtitle\u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mEast_Germany\u001b[0m\u001b[38;2;165;214;255;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;23mlang\u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23men\u001b[0m\u001b[38;2;165;214;255;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;23mignore_references\u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23mTrue\u001b[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;23mignore_links\u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23mTrue\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;23mprint\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\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mWikipedia page content about East Germany:\u001b[0m\u001b[38;2;165;214;255;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;23mprint\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m(\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23meast_germany_page\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[48;2;13;17;23m \u001b[0m\n", "\u001b[3;38;2;139;148;158;48;2;13;17;23m# Confirming Claus Peter Flor's details\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mclaus_peter_flor_search\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[1;38;2;255;123;114;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;23mweb_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;23mquery\u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mClaus Peter Flor nationality\u001b[0m\u001b[38;2;165;214;255;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;23mprint\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\"\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23m\\n\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mWeb search results for Claus Peter Flor\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m'\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23ms nationality:\u001b[0m\u001b[38;2;165;214;255;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;23mprint\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m(\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mclaus_peter_flor_search\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;165;214;255;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",
       "  east_germany_page = get_wikipedia_markdown(title=\"East_Germany\", lang=\"en\", ignore_references=True,              \n",
       "  ignore_links=True)                                                                                               \n",
       "  print(\"Wikipedia page content about East Germany:\")                                                              \n",
       "  print(east_germany_page)                                                                                         \n",
       "                                                                                                                   \n",
       "  # Confirming Claus Peter Flor's details                                                                          \n",
       "  claus_peter_flor_search = web_search(query=\"Claus Peter Flor nationality\")                                       \n",
       "  print(\"\\nWeb search results for Claus Peter Flor's nationality:\")                                                \n",
       "  print(claus_peter_flor_search)                                                                                   \n",
       " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
       "
\n" ], "text/plain": [ " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n", " \u001b[38;2;248;248;242;48;2;39;40;34meast_germany_page\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_wikipedia_markdown\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;34mtitle\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;34mEast_Germany\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;248;248;242;48;2;39;40;34mlang\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;34men\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;248;248;242;48;2;39;40;34mignore_references\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mTrue\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;34mignore_links\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mTrue\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;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mWikipedia page content about East Germany:\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;34meast_germany_page\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# Confirming Claus Peter Flor's details\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mclaus_peter_flor_search\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;34mweb_search\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;34mquery\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;34mClaus Peter Flor nationality\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;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m\\n\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mWeb search results for Claus Peter Flor\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;34ms nationality:\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;34mclaus_peter_flor_search\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",
       "Wikipedia page content about East Germany:\n",
       "\n",
       "\n",
       "Web search results for Claus Peter Flor's nationality:\n",
       "## Search Results\n",
       "\n",
       "[Claus Peter Flor - Wikipedia](https://en.wikipedia.org/wiki/Claus_Peter_Flor)\n",
       "Claus Peter Flor (born 16 March 1953, Leipzig) is a German conductor. Flor studied violin and clarinet at the \n",
       "Robert Schumann Conservatory in Zwickau. He continued his music studies at the Franz Liszt Academy of Music in \n",
       "Weimar and the HMT Felix Mendelssohn Bartholdy in Leipzig. He was later a conducting student with Rolf Reuter and \n",
       "with Kurt ...\n",
       "\n",
       "[Claus Peter Flor - Dirigent | Artists Management | Biography](https://www.clauspeterflor.com/english/biography)\n",
       "Claus Peter Flor also recorded César Franck's Symphony in D Minor and Symphonic Variations (soloist: Rudolf \n",
       "Firkušný) with the Royal Philharmonic Orchestra London for RCA Records. He worked on a recording of the symphonies \n",
       "1-3-5-7-9 by Gustav Mahler with the Orchestra Sinfonica di Milano , whose Music Director he served as between 2018 \n",
       "to ...\n",
       "\n",
       "[Claus Peter Flor — Felsner Artists](https://www.felsnerartists.com/claus-peter-flor)\n",
       "From 1984 until 1992 Claus Peter Flor had served as Chief Conductor, as of 1985 also as Music Director, of the \n",
       "Berlin Symphony Orchestra (later renamed Konzerthaus-Orchester), taking the orchestra on some of its first \n",
       "international tours to the UK, Austria, Switzerland, Japan, the United States, and France, among others. ...\n",
       "\n",
       "[Claus Peter Flor - Age, Birthday, Bio, Facts & More - \n",
       "CalendarZ](https://www.calendarz.com/on-this-day/march/16/claus-peter-flor)\n",
       "Claus Peter Flor, German conductor Claus Peter Flor (born 16 March 1953, Leipzig) is a German conductor. Flor \n",
       "studied violin and clarinet at the Robert Schumann Conservatory in Zwickau. He continued his music studies at the \n",
       "Franz Liszt Academy of Music in Weimar and the HMT Felix Mendelssohn Bartholdy in Leipzig.\n",
       "\n",
       "[Claus Peter Flor, Date of Birth, Place of Birth - Born Glorious](https://www.bornglorious.com/person/?pi=66460)\n",
       "Claus Peter Flor (born 16 March 1953, Leipzig) is a German conductor. Flor studied violin and clarinet at the \n",
       "Robert Schumann Conservatory in Zwickau. He continued his music studies at the Franz Liszt Academy of Music in \n",
       "Weimar and the HMT Felix Mendelssohn Bartholdy in Leipzig. He was later a conducting student with Rolf Reuter and \n",
       "with Kurt ...\n",
       "\n",
       "[Claus Peter Flor Biography - \n",
       "ehrsamproductions.com](http://www.ehrsamproductions.com/archive/inter/artist/print/flor-bio.html)\n",
       "Claus Peter Flor, conductor Biography Respected by musicians the world over as a deeply serious musician, and for \n",
       "his instinctive musicality, Claus Peter Flor is steeped in the Central European tradition. Born in Leipzig in 1953,\n",
       "he was taught the violin in Weimar and Leipzig, and subsequently studied conducting with Rolf Reuter, and later on \n",
       "...\n",
       "\n",
       "[Biography of Claus Peter Flor](https://www.biographies.net/people/en/claus_peter_flor)\n",
       "Who is Claus Peter Flor? Claus Peter Flor is a German conductor. He played the violin as a youth, and later was a \n",
       "conducting student with Rolf Reuter. Flor served as chief conductor of the Berlin Symphony Orchestra from 1984 to \n",
       "1991. He was artistic advisor and principal guest conductor to the Tonhalle Orchestra Zürich from 1991 to 1996.\n",
       "\n",
       "[Claus Peter Flor - Wikipedia](https://de.wikipedia.org/wiki/Claus_Peter_Flor)\n",
       "Claus Peter Flor (* 16. März 1953 in Leipzig) ist ein deutscher Dirigent. Leben und Karriere. Seine Ausbildung \n",
       "begann Flor am Robert-Schumann-Konservatorium in Zwickau, wo er Violine und Klarinette spielen lernte. Ab 1968 \n",
       "studierte er an der ...\n",
       "\n",
       "[Claus Peter Flor - Buy recordings - Presto \n",
       "Music](https://www.prestomusic.com/classical/conductors/1589--claus-peter-flor)\n",
       "Nationality: German. Claus Peter Flor is a German conductor. Flor studied violin and clarinet at the Robert \n",
       "Schumann Conservatory in Zwickau. He continued his music studies at the Franz Liszt Academy of Music in Weimar and \n",
       "the HMT Felix Mendelssohn Bartholdy in Leipzig. He was later a conducting student with Rolf Reuter and with Kurt \n",
       "Masur.\n",
       "\n",
       "[Malko Competition - Wikipedia](https://en.wikipedia.org/wiki/Malko_Competition)\n",
       "Nationality Notes 1965 Ralf Weikert: b. 1940 Austria: 1968 Avi Ostrowsky: b. 1939 Israel: 1971 Winston Dan Vogel: \n",
       "b. 1943 United States: 1974 Gotthard Lienicke: 1977 Philip Barry Greenberg United States [2] 1980 Maximiano Valdés:\n",
       "b. 1949 Chile [3] 1983 Claus Peter Flor: b. 1953 East Germany: 1986 Kazufumi Yamashita: b. 1961 Japan [4] 1989 ...\n",
       "\n",
       "Out: None\n",
       "
\n" ], "text/plain": [ "\u001b[1mExecution logs:\u001b[0m\n", "Wikipedia page content about East Germany:\n", "\n", "\n", "Web search results for Claus Peter Flor's nationality:\n", "## Search Results\n", "\n", "[Claus Peter Flor - Wikipedia](https://en.wikipedia.org/wiki/Claus_Peter_Flor)\n", "Claus Peter Flor (born 16 March 1953, Leipzig) is a German conductor. Flor studied violin and clarinet at the \n", "Robert Schumann Conservatory in Zwickau. He continued his music studies at the Franz Liszt Academy of Music in \n", "Weimar and the HMT Felix Mendelssohn Bartholdy in Leipzig. He was later a conducting student with Rolf Reuter and \n", "with Kurt ...\n", "\n", "[Claus Peter Flor - Dirigent | Artists Management | Biography](https://www.clauspeterflor.com/english/biography)\n", "Claus Peter Flor also recorded César Franck's Symphony in D Minor and Symphonic Variations (soloist: Rudolf \n", "Firkušný) with the Royal Philharmonic Orchestra London for RCA Records. He worked on a recording of the symphonies \n", "1-3-5-7-9 by Gustav Mahler with the Orchestra Sinfonica di Milano , whose Music Director he served as between 2018 \n", "to ...\n", "\n", "[Claus Peter Flor — Felsner Artists](https://www.felsnerartists.com/claus-peter-flor)\n", "From 1984 until 1992 Claus Peter Flor had served as Chief Conductor, as of 1985 also as Music Director, of the \n", "Berlin Symphony Orchestra (later renamed Konzerthaus-Orchester), taking the orchestra on some of its first \n", "international tours to the UK, Austria, Switzerland, Japan, the United States, and France, among others. ...\n", "\n", "[Claus Peter Flor - Age, Birthday, Bio, Facts & More - \n", "CalendarZ](https://www.calendarz.com/on-this-day/march/16/claus-peter-flor)\n", "Claus Peter Flor, German conductor Claus Peter Flor (born 16 March 1953, Leipzig) is a German conductor. Flor \n", "studied violin and clarinet at the Robert Schumann Conservatory in Zwickau. He continued his music studies at the \n", "Franz Liszt Academy of Music in Weimar and the HMT Felix Mendelssohn Bartholdy in Leipzig.\n", "\n", "[Claus Peter Flor, Date of Birth, Place of Birth - Born Glorious](https://www.bornglorious.com/person/?pi=66460)\n", "Claus Peter Flor (born 16 March 1953, Leipzig) is a German conductor. Flor studied violin and clarinet at the \n", "Robert Schumann Conservatory in Zwickau. He continued his music studies at the Franz Liszt Academy of Music in \n", "Weimar and the HMT Felix Mendelssohn Bartholdy in Leipzig. He was later a conducting student with Rolf Reuter and \n", "with Kurt ...\n", "\n", "[Claus Peter Flor Biography - \n", "ehrsamproductions.com](http://www.ehrsamproductions.com/archive/inter/artist/print/flor-bio.html)\n", "Claus Peter Flor, conductor Biography Respected by musicians the world over as a deeply serious musician, and for \n", "his instinctive musicality, Claus Peter Flor is steeped in the Central European tradition. Born in Leipzig in 1953,\n", "he was taught the violin in Weimar and Leipzig, and subsequently studied conducting with Rolf Reuter, and later on \n", "...\n", "\n", "[Biography of Claus Peter Flor](https://www.biographies.net/people/en/claus_peter_flor)\n", "Who is Claus Peter Flor? Claus Peter Flor is a German conductor. He played the violin as a youth, and later was a \n", "conducting student with Rolf Reuter. Flor served as chief conductor of the Berlin Symphony Orchestra from 1984 to \n", "1991. He was artistic advisor and principal guest conductor to the Tonhalle Orchestra Zürich from 1991 to 1996.\n", "\n", "[Claus Peter Flor - Wikipedia](https://de.wikipedia.org/wiki/Claus_Peter_Flor)\n", "Claus Peter Flor (* 16. März 1953 in Leipzig) ist ein deutscher Dirigent. Leben und Karriere. Seine Ausbildung \n", "begann Flor am Robert-Schumann-Konservatorium in Zwickau, wo er Violine und Klarinette spielen lernte. Ab 1968 \n", "studierte er an der ...\n", "\n", "[Claus Peter Flor - Buy recordings - Presto \n", "Music](https://www.prestomusic.com/classical/conductors/1589--claus-peter-flor)\n", "Nationality: German. Claus Peter Flor is a German conductor. Flor studied violin and clarinet at the Robert \n", "Schumann Conservatory in Zwickau. He continued his music studies at the Franz Liszt Academy of Music in Weimar and \n", "the HMT Felix Mendelssohn Bartholdy in Leipzig. He was later a conducting student with Rolf Reuter and with Kurt \n", "Masur.\n", "\n", "[Malko Competition - Wikipedia](https://en.wikipedia.org/wiki/Malko_Competition)\n", "Nationality Notes 1965 Ralf Weikert: b. 1940 Austria: 1968 Avi Ostrowsky: b. 1939 Israel: 1971 Winston Dan Vogel: \n", "b. 1943 United States: 1974 Gotthard Lienicke: 1977 Philip Barry Greenberg United States [2] 1980 Maximiano Valdés:\n", "b. 1949 Chile [3] 1983 Claus Peter Flor: b. 1953 East Germany: 1986 Kazufumi Yamashita: b. 1961 Japan [4] 1989 ...\n", "\n", "Out: None\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 2: Duration 8.82 seconds| Input tokens: 10,079 | Output tokens: 306]\n",
       "
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 3 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n",
       "
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Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "Thought: Based on the information obtained, Claus Peter Flor is listed as having the nationality \"East Germany\" in \n",
       "the Malko Competition Wikipedia page, and the web search results confirm his birthplace as Leipzig (in East        \n",
       "Germany) and his studies within institutions located in East Germany. However, many of the results also refer to   \n",
       "him as a German conductor. To clarify this discrepancy and ensure accuracy, I will check if Claus Peter Flor's     \n",
       "nationality is indeed listed as \"East Germany\" on his Wikipedia page.                                              \n",
       "Code:                                                                                                              \n",
       "```py                                                                                                              \n",
       "claus_peter_flor_wiki = get_wikipedia_markdown(title=\"Claus_Peter_Flor\", lang=\"en\", ignore_references=True,        \n",
       "ignore_links=True)                                                                                                 \n",
       "print(\"Wikipedia page content about Claus Peter Flor:\")                                                            \n",
       "print(claus_peter_flor_wiki)                                                                                       \n",
       "```                                                                                                                \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;23mBased\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mon\u001b[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;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;23mobtained,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mClaus\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mPeter\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFlor\u001b[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;23mlisted\u001b[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;23mhaving\u001b[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;23mnationality\u001b[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\"East\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mGermany\"\u001b[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\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;23mMalko\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mCompetition\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mWikipedia\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mpage,\u001b[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;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;23mweb\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23msearch\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mresults\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mconfirm\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mhis\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mbirthplace\u001b[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;23mLeipzig\u001b[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(in\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mEast\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;23mGermany)\u001b[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;23mhis\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mstudies\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwithin\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23minstitutions\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mlocated\u001b[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;23mEast\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mGermany.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mHowever,\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmany\u001b[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;23mresults\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23malso\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrefer\u001b[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;23mhim\u001b[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;23mGerman\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mconductor.\u001b[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;23mclarify\u001b[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;23mdiscrepancy\u001b[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;23mensure\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23maccuracy,\u001b[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;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;23mif\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mClaus\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mPeter\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFlor's\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;23mnationality\u001b[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;23mindeed\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mlisted\u001b[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;23m\"East\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mGermany\"\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mon\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mhis\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mWikipedia\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mpage.\u001b[0m\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;165;214;255;48;2;13;17;23m```\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mpy\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mclaus_peter_flor_wiki\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[1;38;2;255;123;114;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_wikipedia_markdown\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m(\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtitle\u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mClaus_Peter_Flor\u001b[0m\u001b[38;2;165;214;255;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;23mlang\u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23men\u001b[0m\u001b[38;2;165;214;255;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;23mignore_references\u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23mTrue\u001b[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;23mignore_links\u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23mTrue\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;23mprint\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\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mWikipedia page content about Claus Peter Flor:\u001b[0m\u001b[38;2;165;214;255;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;23mprint\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m(\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mclaus_peter_flor_wiki\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;165;214;255;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",
       "  claus_peter_flor_wiki = get_wikipedia_markdown(title=\"Claus_Peter_Flor\", lang=\"en\", ignore_references=True,      \n",
       "  ignore_links=True)                                                                                               \n",
       "  print(\"Wikipedia page content about Claus Peter Flor:\")                                                          \n",
       "  print(claus_peter_flor_wiki)                                                                                     \n",
       " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
       "
\n" ], "text/plain": [ " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n", " \u001b[38;2;248;248;242;48;2;39;40;34mclaus_peter_flor_wiki\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_wikipedia_markdown\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;34mtitle\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;34mClaus_Peter_Flor\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;248;248;242;48;2;39;40;34mlang\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;34men\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;248;248;242;48;2;39;40;34mignore_references\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mTrue\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;34mignore_links\u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m=\u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mTrue\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;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mWikipedia page content about Claus Peter Flor:\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;34mclaus_peter_flor_wiki\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",
       "Wikipedia page content about Claus Peter Flor:\n",
       "German conductor\n",
       "\n",
       "**Claus Peter Flor** (born 16 March 1953, Leipzig) is a German conductor.\n",
       "\n",
       "Flor studied violin and clarinet at the Robert Schumann Conservatory in Zwickau. He continued his music studies at \n",
       "the Franz Liszt Academy of Music in Weimar and the HMT Felix Mendelssohn Bartholdy in Leipzig. He was later a \n",
       "conducting student with Rolf Reuter and with Kurt Masur.\n",
       "\n",
       "Flor was chief conductor of the Suhl Philharmonic Orchestra from 1981 to 1984. Flor served as chief conductor of \n",
       "the Konzerthausorchester Berlin from 1984 to 1991. He was artistic advisor and principal guest conductor to the \n",
       "Tonhalle Orchestra Zürich from 1991 to 1996. He was principal guest conductor of the Philharmonia Orchestra from \n",
       "1991 to 1994, and became principal guest conductor of the Orchestra Sinfonica di Milano Giuseppe Verdi in 2003. In \n",
       "April 2017, *Het Gelders Orkest* announced that they had secured the services of Flor for an extended guest \n",
       "conductor relationship, without the formal conferring of a title such as 'principal guest conductor'. In June 2017,\n",
       "the Orchestra Sinfonica di Milano Giuseppe Verdi announced the appointment of Flor as its next music director, \n",
       "effective with the 2017-2018 season, with an initial contract of 3 years.\n",
       "\n",
       "Outside of Europe, Flor served as principal guest conductor with the Dallas Symphony Orchestra from 1999 to 2008. \n",
       "From 2008 to 2014, Flor was music director of the Malaysian Philharmonic Orchestra. During his tenure, he oversaw \n",
       "controversial sackings of nine key musicians of the orchestra, which culminated in a call by the International \n",
       "Federation of Musicians for an international boycott against auditions held by the orchestra.\n",
       "\n",
       "| Cultural offices |\n",
       "| --- |\n",
       "| Preceded byGünther Herbig | Chief Conductor, Konzerthausorchester Berlin1984–1991 | Succeeded byMichael \n",
       "Schønwandt |\n",
       "| Preceded byMatthias Bamert | Music Director, Malaysian Philharmonic Orchestra2008–2014 | Succeeded byFabio \n",
       "Mechetti |\n",
       "| Preceded byXian Zhang | Music Director, Orchestra Sinfonica di Milano Giuseppe Verdi2017–present | Succeeded \n",
       "byincumbent |\n",
       "\n",
       "Out: None\n",
       "
\n" ], "text/plain": [ "\u001b[1mExecution logs:\u001b[0m\n", "Wikipedia page content about Claus Peter Flor:\n", "German conductor\n", "\n", "**Claus Peter Flor** (born 16 March 1953, Leipzig) is a German conductor.\n", "\n", "Flor studied violin and clarinet at the Robert Schumann Conservatory in Zwickau. He continued his music studies at \n", "the Franz Liszt Academy of Music in Weimar and the HMT Felix Mendelssohn Bartholdy in Leipzig. He was later a \n", "conducting student with Rolf Reuter and with Kurt Masur.\n", "\n", "Flor was chief conductor of the Suhl Philharmonic Orchestra from 1981 to 1984. Flor served as chief conductor of \n", "the Konzerthausorchester Berlin from 1984 to 1991. He was artistic advisor and principal guest conductor to the \n", "Tonhalle Orchestra Zürich from 1991 to 1996. He was principal guest conductor of the Philharmonia Orchestra from \n", "1991 to 1994, and became principal guest conductor of the Orchestra Sinfonica di Milano Giuseppe Verdi in 2003. In \n", "April 2017, *Het Gelders Orkest* announced that they had secured the services of Flor for an extended guest \n", "conductor relationship, without the formal conferring of a title such as 'principal guest conductor'. In June 2017,\n", "the Orchestra Sinfonica di Milano Giuseppe Verdi announced the appointment of Flor as its next music director, \n", "effective with the 2017-2018 season, with an initial contract of 3 years.\n", "\n", "Outside of Europe, Flor served as principal guest conductor with the Dallas Symphony Orchestra from 1999 to 2008. \n", "From 2008 to 2014, Flor was music director of the Malaysian Philharmonic Orchestra. During his tenure, he oversaw \n", "controversial sackings of nine key musicians of the orchestra, which culminated in a call by the International \n", "Federation of Musicians for an international boycott against auditions held by the orchestra.\n", "\n", "| Cultural offices |\n", "| --- |\n", "| Preceded byGünther Herbig | Chief Conductor, Konzerthausorchester Berlin1984–1991 | Succeeded byMichael \n", "Schønwandt |\n", "| Preceded byMatthias Bamert | Music Director, Malaysian Philharmonic Orchestra2008–2014 | Succeeded byFabio \n", "Mechetti |\n", "| Preceded byXian Zhang | Music Director, Orchestra Sinfonica di Milano Giuseppe Verdi2017–present | Succeeded \n", "byincumbent |\n", "\n", "Out: None\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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       "
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────────────────────────────────────────────────── Updated plan ───────────────────────────────────────────────────\n",
       "I still need to solve the task I was given:\n",
       "```\n",
       "You're a helpful agent named 'None'.\n",
       "You have been submitted this task by your manager.\n",
       "---\n",
       "Task:\n",
       "What is the first name of the only Malko Competition recipient from the 20th Century (after 1977) whose nationality\n",
       "on record is a country that no longer exists?\n",
       "---\n",
       "You're helping your manager solve a wider task: so make sure to not provide a one-line answer, but give as much \n",
       "information as possible to give them a clear understanding of the answer.\n",
       "\n",
       "Your final_answer WILL HAVE to contain these parts:\n",
       "### 1. Task outcome (short version):\n",
       "### 2. Task outcome (extremely detailed version):\n",
       "### 3. Additional context (if relevant):\n",
       "\n",
       "Put all these in your final_answer tool, everything that you do not pass as an argument to final_answer will be \n",
       "lost.\n",
       "And even if your task resolution is not successful, please return as much context as possible, so that your manager\n",
       "can act upon this feedback.\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 need to find the first name of the only Malko Competition recipient from the 20th Century (after 1977) whose \n",
       "nationality on record is a country that no longer exists.\n",
       "\n",
       "### 1.2. Facts That We Have Learned\n",
       "- Claus Peter Flor won the Malko Competition in 1983.\n",
       "- Claus Peter Flor's nationality was listed as \"East Germany\" at the time of winning the competition.\n",
       "- East Germany (German Democratic Republic) ceased to exist on October 3, 1990.\n",
       "\n",
       "### 1.3. Facts Still to Look Up\n",
       "- Confirm if Claus Peter Flor is indeed the only recipient from a country that no longer exists within the \n",
       "specified criteria.\n",
       "\n",
       "### 1.4. Facts Still to Derive\n",
       "- Verify there are no other recipients meeting these criteria in the specified time frame.\n",
       "\n",
       "## 2. Plan\n",
       "\n",
       "### 2.1. Confirm Nationality of Claus Peter Flor\n",
       "Verify if his nationality was indeed recorded as East Germany at the time of winning and confirm that this is the \n",
       "only such case from the list.\n",
       "\n",
       "### 2.2. Cross-check Other Recipients\n",
       "Review other recipients from 1978 to 2000 to ensure no one else fits these criteria.\n",
       "\n",
       "### 2.3. Gather Final Details\n",
       "- Collect the first name of Claus Peter Flor.\n",
       "- Confirm that East Germany is indeed a country that no longer exists as of today.\n",
       "\n",
       "### 2.4. Formulate Final Answer\n",
       "\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", "You're a helpful agent named 'None'.\n", "You have been submitted this task by your manager.\n", "---\n", "Task:\n", "What is the first name of the only Malko Competition recipient from the 20th Century (after 1977) whose nationality\n", "on record is a country that no longer exists?\n", "---\n", "You're helping your manager solve a wider task: so make sure to not provide a one-line answer, but give as much \n", "information as possible to give them a clear understanding of the answer.\n", "\n", "Your final_answer WILL HAVE to contain these parts:\n", "### 1. Task outcome (short version):\n", "### 2. Task outcome (extremely detailed version):\n", "### 3. Additional context (if relevant):\n", "\n", "Put all these in your final_answer tool, everything that you do not pass as an argument to final_answer will be \n", "lost.\n", "And even if your task resolution is not successful, please return as much context as possible, so that your manager\n", "can act upon this feedback.\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 need to find the first name of the only Malko Competition recipient from the 20th Century (after 1977) whose \n", "nationality on record is a country that no longer exists.\n", "\n", "### 1.2. Facts That We Have Learned\n", "- Claus Peter Flor won the Malko Competition in 1983.\n", "- Claus Peter Flor's nationality was listed as \"East Germany\" at the time of winning the competition.\n", "- East Germany (German Democratic Republic) ceased to exist on October 3, 1990.\n", "\n", "### 1.3. Facts Still to Look Up\n", "- Confirm if Claus Peter Flor is indeed the only recipient from a country that no longer exists within the \n", "specified criteria.\n", "\n", "### 1.4. Facts Still to Derive\n", "- Verify there are no other recipients meeting these criteria in the specified time frame.\n", "\n", "## 2. Plan\n", "\n", "### 2.1. Confirm Nationality of Claus Peter Flor\n", "Verify if his nationality was indeed recorded as East Germany at the time of winning and confirm that this is the \n", "only such case from the list.\n", "\n", "### 2.2. Cross-check Other Recipients\n", "Review other recipients from 1978 to 2000 to ensure no one else fits these criteria.\n", "\n", "### 2.3. Gather Final Details\n", "- Collect the first name of Claus Peter Flor.\n", "- Confirm that East Germany is indeed a country that no longer exists as of today.\n", "\n", "### 2.4. Formulate Final Answer\n", "\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",
       "Thought: I need to confirm if there are any other recipients from the Malko Competition between 1978 and 2000 whose\n",
       "nationality corresponds to a country that no longer exists, besides Claus Peter Flor. To do so, I will check the   \n",
       "list of recipients again to see if any other nationalities match countries that have ceased to exist by the end of \n",
       "the 20th century.                                                                                                  \n",
       "Code:                                                                                                              \n",
       "```py                                                                                                              \n",
       "# List of Malko Competition winners between 1978 and 2000 (from Wikipedia page)                                    \n",
       "recipients = [                                                                                                     \n",
       "    {\"Year\": 1980, \"Recipient\": \"Maximiano Valdés\", \"Nationality\": \"Chile\"},                                       \n",
       "    {\"Year\": 1983, \"Recipient\": \"Claus Peter Flor\", \"Nationality\": \"East Germany\"},                                \n",
       "    {\"Year\": 1986, \"Recipient\": \"Kazufumi Yamashita\", \"Nationality\": \"Japan\"},                                     \n",
       "    {\"Year\": 1989, \"Recipient\": \"Fabio Mechetti\", \"Nationality\": \"Brazil\"},                                        \n",
       "    {\"Year\": 1992, \"Recipient\": \"Jin Wang\", \"Nationality\": \"Austria\"},                                             \n",
       "    {\"Year\": 1995, \"Recipient\": \"Jan Wagner\", \"Nationality\": \"Venezuela\"},                                         \n",
       "    {\"Year\": 1998, \"Recipient\": \"Seikyo Kim\", \"Nationality\": \"Japan\"}                                              \n",
       "]                                                                                                                  \n",
       "                                                                                                                   \n",
       "# Check for other nationalities that may correspond to countries no longer existing                                \n",
       "defunct_countries = [\"East Germany\"]                                                                               \n",
       "other_possible_recipients = [recipient[\"Recipient\"] for recipient in recipients if recipient[\"Nationality\"] in     \n",
       "defunct_countries and recipient[\"Year\"] > 1977]                                                                    \n",
       "print(\"Potential Malko Competition recipients from defunct countries (after 1977):\", other_possible_recipients)    \n",
       "                                                                                                                   \n",
       "# Now, confirm that East Germany is indeed a country that no longer exists                                         \n",
       "east_germany_confirmation = web_search(query=\"Does East Germany still exist?\")                                     \n",
       "print(\"\\nWeb search results confirming if East Germany still exists:\")                                             \n",
       "print(east_germany_confirmation)                                                                                   \n",
       "```                                                                                                                \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;23mconfirm\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mif\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthere\u001b[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;23many\u001b[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;23mrecipients\u001b[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;23mMalko\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mCompetition\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mbetween\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m1978\u001b[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;23m2000\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwhose\u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mnationality\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcorresponds\u001b[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;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;23mcountry\u001b[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;23mno\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m 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\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mNationality\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mBrazil\u001b[0m\u001b[38;2;165;214;255;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;23m \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\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mYear\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;48;2;13;17;23m1992\u001b[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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mRecipient\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mJin Wang\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mNationality\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mAustria\u001b[0m\u001b[38;2;165;214;255;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;23m \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\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mYear\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;48;2;13;17;23m1995\u001b[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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mRecipient\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mJan Wagner\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mNationality\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mVenezuela\u001b[0m\u001b[38;2;165;214;255;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;23m \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\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mYear\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;48;2;13;17;23m1998\u001b[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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mRecipient\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mSeikyo Kim\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mNationality\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mJapan\u001b[0m\u001b[38;2;165;214;255;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;23m]\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[3;38;2;139;148;158;48;2;13;17;23m# Check for other nationalities that may correspond to countries no longer existing\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mdefunct_countries\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[1;38;2;255;123;114;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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mEast Germany\u001b[0m\u001b[38;2;165;214;255;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;23mother_possible_recipients\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[1;38;2;255;123;114;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;23mrecipient\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\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mRecipient\u001b[0m\u001b[38;2;165;214;255;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;255;123;114;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;23mrecipient\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[1;38;2;255;123;114;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;23mrecipients\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;255;123;114;48;2;13;17;23mif\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrecipient\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\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mNationality\u001b[0m\u001b[38;2;165;214;255;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[1;38;2;255;123;114;48;2;13;17;23min\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;23mdefunct_countries\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[1;38;2;255;123;114;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;23mrecipient\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\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mYear\u001b[0m\u001b[38;2;165;214;255;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[1;38;2;255;123;114;48;2;13;17;23m>\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;23m1977\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;23mprint\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\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mPotential Malko Competition recipients from defunct countries (after 1977):\u001b[0m\u001b[38;2;165;214;255;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;23mother_possible_recipients\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[48;2;13;17;23m \u001b[0m\n", "\u001b[3;38;2;139;148;158;48;2;13;17;23m# Now, confirm that East Germany is indeed a country that no longer exists\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23meast_germany_confirmation\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[1;38;2;255;123;114;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;23mweb_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;23mquery\u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mDoes East Germany still exist?\u001b[0m\u001b[38;2;165;214;255;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;23mprint\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\"\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23m\\n\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mWeb search results confirming if East Germany still exists:\u001b[0m\u001b[38;2;165;214;255;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;23mprint\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m(\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23meast_germany_confirmation\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;165;214;255;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",
       "  # List of Malko Competition winners between 1978 and 2000 (from Wikipedia page)                                  \n",
       "  recipients = [                                                                                                   \n",
       "      {\"Year\": 1980, \"Recipient\": \"Maximiano Valdés\", \"Nationality\": \"Chile\"},                                     \n",
       "      {\"Year\": 1983, \"Recipient\": \"Claus Peter Flor\", \"Nationality\": \"East Germany\"},                              \n",
       "      {\"Year\": 1986, \"Recipient\": \"Kazufumi Yamashita\", \"Nationality\": \"Japan\"},                                   \n",
       "      {\"Year\": 1989, \"Recipient\": \"Fabio Mechetti\", \"Nationality\": \"Brazil\"},                                      \n",
       "      {\"Year\": 1992, \"Recipient\": \"Jin Wang\", \"Nationality\": \"Austria\"},                                           \n",
       "      {\"Year\": 1995, \"Recipient\": \"Jan Wagner\", \"Nationality\": \"Venezuela\"},                                       \n",
       "      {\"Year\": 1998, \"Recipient\": \"Seikyo Kim\", \"Nationality\": \"Japan\"}                                            \n",
       "  ]                                                                                                                \n",
       "                                                                                                                   \n",
       "  # Check for other nationalities that may correspond to countries no longer existing                              \n",
       "  defunct_countries = [\"East Germany\"]                                                                             \n",
       "  other_possible_recipients = [recipient[\"Recipient\"] for recipient in recipients if recipient[\"Nationality\"] in   \n",
       "  defunct_countries and recipient[\"Year\"] > 1977]                                                                  \n",
       "  print(\"Potential Malko Competition recipients from defunct countries (after 1977):\", other_possible_recipients)  \n",
       "                                                                                                                   \n",
       "  # Now, confirm that East Germany is indeed a country that no longer exists                                       \n",
       "  east_germany_confirmation = web_search(query=\"Does East Germany still exist?\")                                   \n",
       "  print(\"\\nWeb search results confirming if East Germany still exists:\")                                           \n",
       "  print(east_germany_confirmation)                                                                                 \n",
       " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
       "
\n" ], "text/plain": [ " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n", " \u001b[38;2;149;144;119;48;2;39;40;34m# List of Malko Competition winners between 1978 and 2000 (from Wikipedia page)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mrecipients\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[48;2;39;40;34m \u001b[0m \n", " \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;34mYear\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 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Germany\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[48;2;39;40;34m \u001b[0m \n", " \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;34mYear\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;34m1986\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;34mRecipient\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 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\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;34mVenezuela\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[48;2;39;40;34m \u001b[0m \n", " \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;34mYear\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;34m1998\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;34mRecipient\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;34mSeikyo Kim\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;34mNationality\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;34mJapan\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;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# Check for other nationalities that may correspond to countries no longer existing\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mdefunct_countries\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;34mEast Germany\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;34mother_possible_recipients\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;248;248;242;48;2;39;40;34mrecipient\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;34mRecipient\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;102;217;239;48;2;39;40;34mfor\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;34mrecipient\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;34min\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;34mrecipients\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;34mif\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;34mrecipient\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;34mNationality\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;255;70;137;48;2;39;40;34min\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34mdefunct_countries\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;34mand\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;34mrecipient\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;34mYear\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;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;174;129;255;48;2;39;40;34m1977\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;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mPotential Malko Competition recipients from defunct countries (after 1977):\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;248;248;242;48;2;39;40;34mother_possible_recipients\u001b[0m\u001b[38;2;248;248;242;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# Now, confirm that East Germany is indeed a country that no longer exists\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;248;248;242;48;2;39;40;34meast_germany_confirmation\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;34mweb_search\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;34mquery\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;34mDoes East Germany still exist?\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;230;219;116;48;2;39;40;34m\"\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m\\n\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mWeb search results confirming if East Germany still exists:\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;34meast_germany_confirmation\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",
       "Potential Malko Competition recipients from defunct countries (after 1977): ['Claus Peter Flor']\n",
       "\n",
       "Web search results confirming if East Germany still exists:\n",
       "## Search Results\n",
       "\n",
       "[East Germany - Wikipedia](https://en.wikipedia.org/wiki/East_Germany)\n",
       "East Germany, [j] officially known as the German Democratic Republic (GDR), [k] was a country in Central Europe \n",
       "from its formation on 7 October 1949 until its reunification with West Germany (FRG) on 3 October 1990. Until 1989,\n",
       "it was generally viewed as a communist state and described itself as a socialist \"workers' and peasants' state\". \n",
       "[5] The economy of the country was centrally planned ...\n",
       "\n",
       "[Ernst Thälmann Island - Wikipedia](https://en.wikipedia.org/wiki/Ernst_Thälmann_Island)\n",
       "Ernst Thälmann Island (Spanish: Cayo Ernesto Thaelmann or Cayo Blanco del Sur; German: Ernst-Thälmann-Insel or \n",
       "Südliche weiße Insel) is a 15 km (9.3 mi) long and 500 m (1,600 ft) wide island in the Gulf of Cazones.In the \n",
       "1970s, Cuba promised to donate an island in its archipelago to East Germany, and subsequently renamed Cayo Blanco \n",
       "del Sur after German communist Ernst Thälmann.\n",
       "\n",
       "[German reunification: What still divides East and \n",
       "West?](https://www.dw.com/en/german-reunification-what-still-divides-east-and-west/a-55078166)\n",
       "In 1989, it was still part of West Germany (officially the Federal Republic of Germany, or FRG), a separate country\n",
       "from the German Democratic Republic (the GDR, or East Germany), ...\n",
       "\n",
       "[East Germany Is Still a Country of Its Own - Foreign \n",
       "Policy](https://foreignpolicy.com/2021/07/07/east-germany-is-still-a-country-of-its-own/)\n",
       "Wanderwitz, the German government's special commissioner for eastern Germany, attributed the AfD's successes in the\n",
       "east to the region's authoritarian past and said he believes only a small ...\n",
       "\n",
       "[History of East Germany - Wikipedia](https://en.wikipedia.org/wiki/History_of_East_Germany)\n",
       "The millions of Germans still remaining in these areas under the Potsdam Agreement were over a period of several \n",
       "years expelled and replaced by Polish settlers ... On October 3, 1990, East Germany formally ceased to exist. The \n",
       "five recreated states in its former territory acceded to the Federal Republic, while East and West Berlin reunited \n",
       "to ...\n",
       "\n",
       "[Germany is still divided by east and west - Vivid \n",
       "Maps](https://vividmaps.com/germany-is-still-divided-by-east-and-west/)\n",
       "The Berlin Wall fell more than 30 years ago, but Germany is still divided. The differences between East and West \n",
       "Germany cover almost every aspect of life: politics, economy, religion, education, even sport. Population density. \n",
       "East Germany has a lower population density than western Germany. Germany's eastern states have an average of 153 \n",
       "...\n",
       "\n",
       "[The Last Remaining Part of East Germany? | German Language \n",
       "Blog](https://blogs.transparent.com/german/the-last-remaining-part-of-east-germany/)\n",
       "Following the end of the war in 1945, Germany was divided in two. One side, the east, became Deutsche Demokratische\n",
       "Republik (DDR) while the other side, the west, became Bundesrepublik Deutschland (BRD). When the country was \n",
       "eventually reunited in 1990, the BRD absorbed the DDR, and so what was formerly East Germany ceased to exist.\n",
       "\n",
       "[Is an Island Off Cuba the Last Surviving Piece of East \n",
       "Germany?](https://www.mentalfloss.com/article/91377/island-cuba-last-surviving-piece-east-germany)\n",
       "Cuba, still under Communist rule, seemingly reacted negatively to the article and denied journalists access to the \n",
       "island, claiming their gift to East Germany had only been symbolic.\n",
       "\n",
       "[East Germany - Simple English Wikipedia, the free encyclopedia](https://simple.wikipedia.org/wiki/East_Germany)\n",
       "The German Democratic Republic (GDR) (German: Deutsche Demokratische Republik (DDR)), commonly called East Germany \n",
       "(German: Ostdeutschland), was founded on 7 October 1949, after World War II in 1945 when Nazi Germany got defeated \n",
       "by the USSR.It was formed from part of the Soviet occupation zone of Germany, including part of the city of \n",
       "Berlin.It is no longer a nation by itself since the two ...\n",
       "\n",
       "[East Germany - German Culture](https://germanculture.com.ua/german-facts/east-germany/)\n",
       "From the political viewpoint 'East Germany' does not exist anymore, but this article title can not be acceptable \n",
       "for Germans who are not politicians. They still use term 'east' for the lands in the East of Berlin and from their \n",
       "point of view 'East Germany' will never be removed from Germany map.\n",
       "\n",
       "Out: None\n",
       "
\n" ], "text/plain": [ "\u001b[1mExecution logs:\u001b[0m\n", "Potential Malko Competition recipients from defunct countries (after 1977): ['Claus Peter Flor']\n", "\n", "Web search results confirming if East Germany still exists:\n", "## Search Results\n", "\n", "[East Germany - Wikipedia](https://en.wikipedia.org/wiki/East_Germany)\n", "East Germany, [j] officially known as the German Democratic Republic (GDR), [k] was a country in Central Europe \n", "from its formation on 7 October 1949 until its reunification with West Germany (FRG) on 3 October 1990. Until 1989,\n", "it was generally viewed as a communist state and described itself as a socialist \"workers' and peasants' state\". \n", "[5] The economy of the country was centrally planned ...\n", "\n", "[Ernst Thälmann Island - Wikipedia](https://en.wikipedia.org/wiki/Ernst_Thälmann_Island)\n", "Ernst Thälmann Island (Spanish: Cayo Ernesto Thaelmann or Cayo Blanco del Sur; German: Ernst-Thälmann-Insel or \n", "Südliche weiße Insel) is a 15 km (9.3 mi) long and 500 m (1,600 ft) wide island in the Gulf of Cazones.In the \n", "1970s, Cuba promised to donate an island in its archipelago to East Germany, and subsequently renamed Cayo Blanco \n", "del Sur after German communist Ernst Thälmann.\n", "\n", "[German reunification: What still divides East and \n", "West?](https://www.dw.com/en/german-reunification-what-still-divides-east-and-west/a-55078166)\n", "In 1989, it was still part of West Germany (officially the Federal Republic of Germany, or FRG), a separate country\n", "from the German Democratic Republic (the GDR, or East Germany), ...\n", "\n", "[East Germany Is Still a Country of Its Own - Foreign \n", "Policy](https://foreignpolicy.com/2021/07/07/east-germany-is-still-a-country-of-its-own/)\n", "Wanderwitz, the German government's special commissioner for eastern Germany, attributed the AfD's successes in the\n", "east to the region's authoritarian past and said he believes only a small ...\n", "\n", "[History of East Germany - Wikipedia](https://en.wikipedia.org/wiki/History_of_East_Germany)\n", "The millions of Germans still remaining in these areas under the Potsdam Agreement were over a period of several \n", "years expelled and replaced by Polish settlers ... On October 3, 1990, East Germany formally ceased to exist. The \n", "five recreated states in its former territory acceded to the Federal Republic, while East and West Berlin reunited \n", "to ...\n", "\n", "[Germany is still divided by east and west - Vivid \n", "Maps](https://vividmaps.com/germany-is-still-divided-by-east-and-west/)\n", "The Berlin Wall fell more than 30 years ago, but Germany is still divided. The differences between East and West \n", "Germany cover almost every aspect of life: politics, economy, religion, education, even sport. Population density. \n", "East Germany has a lower population density than western Germany. Germany's eastern states have an average of 153 \n", "...\n", "\n", "[The Last Remaining Part of East Germany? | German Language \n", "Blog](https://blogs.transparent.com/german/the-last-remaining-part-of-east-germany/)\n", "Following the end of the war in 1945, Germany was divided in two. One side, the east, became Deutsche Demokratische\n", "Republik (DDR) while the other side, the west, became Bundesrepublik Deutschland (BRD). When the country was \n", "eventually reunited in 1990, the BRD absorbed the DDR, and so what was formerly East Germany ceased to exist.\n", "\n", "[Is an Island Off Cuba the Last Surviving Piece of East \n", "Germany?](https://www.mentalfloss.com/article/91377/island-cuba-last-surviving-piece-east-germany)\n", "Cuba, still under Communist rule, seemingly reacted negatively to the article and denied journalists access to the \n", "island, claiming their gift to East Germany had only been symbolic.\n", "\n", "[East Germany - Simple English Wikipedia, the free encyclopedia](https://simple.wikipedia.org/wiki/East_Germany)\n", "The German Democratic Republic (GDR) (German: Deutsche Demokratische Republik (DDR)), commonly called East Germany \n", "(German: Ostdeutschland), was founded on 7 October 1949, after World War II in 1945 when Nazi Germany got defeated \n", "by the USSR.It was formed from part of the Soviet occupation zone of Germany, including part of the city of \n", "Berlin.It is no longer a nation by itself since the two ...\n", "\n", "[East Germany - German Culture](https://germanculture.com.ua/german-facts/east-germany/)\n", "From the political viewpoint 'East Germany' does not exist anymore, but this article title can not be acceptable \n", "for Germans who are not politicians. They still use term 'east' for the lands in the East of Berlin and from their \n", "point of view 'East Germany' will never be removed from Germany map.\n", "\n", "Out: None\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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Output message of the LLM: ────────────────────────────────────────────────────────────────────────────────────────\n",
       "Thought: Now I have confirmed that Claus Peter Flor is indeed the only Malko Competition recipient from a country  \n",
       "that no longer exists (East Germany) within the specified time frame. East Germany officially ceased to exist in   \n",
       "1990, and its territory was absorbed into reunified Germany.                                                       \n",
       "                                                                                                                   \n",
       "I now have all the necessary details:                                                                              \n",
       "- The first name of Claus Peter Flor is \"Claus\".                                                                   \n",
       "- He won the Malko Competition in 1983.                                                                            \n",
       "- His nationality at that time was East Germany, which no longer exists.                                           \n",
       "                                                                                                                   \n",
       "Let's compile this information for the final answer.                                                               \n",
       "Code:                                                                                                              \n",
       "```py                                                                                                              \n",
       "final_answer(\"### 1. Task outcome (short version):\\nClaus\\n\\n### 2. Task outcome (extremely detailed version):\\nThe\n",
       "only Malko Competition recipient from the 20th Century (after 1977) whose nationality on record is a country that  \n",
       "no longer exists is Claus Peter Flor, who won in 1983 and had East German nationality. East Germany ceased to exist\n",
       "in 1990 when it was reunified with West Germany.\\n\\n### 3. Additional context:\\nNone\")                             \n",
       "```                                                                                                                \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;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;23mconfirmed\u001b[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;23mClaus\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mPeter\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFlor\u001b[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;23mindeed\u001b[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;23mMalko\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mCompetition\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrecipient\u001b[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;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;23mcountry\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;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;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;23mlonger\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mexists\u001b[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(East\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mGermany)\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwithin\u001b[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;23mspecified\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mtime\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mframe.\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mEast\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mGermany\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mofficially\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mceased\u001b[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;23mexist\u001b[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[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23m1990,\u001b[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;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;23mterritory\u001b[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;23mabsorbed\u001b[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;23mreunified\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mGermany.\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;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;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;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;23mnecessary\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mdetails:\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;255;123;114;48;2;13;17;23m-\u001b[0m\u001b[38;2;110;118;129;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;23mname\u001b[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;23mClaus\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mPeter\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFlor\u001b[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;23m\"Claus\".\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;255;123;114;48;2;13;17;23m-\u001b[0m\u001b[38;2;110;118;129;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mHe\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwon\u001b[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;23mMalko\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mCompetition\u001b[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;23m1983.\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;255;123;114;48;2;13;17;23m-\u001b[0m\u001b[38;2;110;118;129;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mHis\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mnationality\u001b[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;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;23mtime\u001b[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;23mEast\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mGermany,\u001b[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;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;23mlonger\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mexists.\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;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;23mcompile\u001b[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;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;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;23mfinal\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23manswer.\u001b[0m\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;165;214;255;48;2;13;17;23m```\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mpy\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfinal_answer\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\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m### 1. Task outcome (short version):\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23m\\n\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mClaus\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23m\\n\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23m\\n\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m### 2. Task outcome (extremely detailed version):\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23m\\n\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mThe\u001b[0m\n", "\u001b[38;2;165;214;255;48;2;13;17;23monly Malko Competition recipient from the 20th Century (after 1977) whose nationality on record is a country that \u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;165;214;255;48;2;13;17;23mno longer exists is Claus Peter Flor, who won in 1983 and had East German nationality. East Germany ceased to exist\u001b[0m\n", "\u001b[38;2;165;214;255;48;2;13;17;23min 1990 when it was reunified with West Germany.\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23m\\n\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23m\\n\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m### 3. Additional context:\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23m\\n\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mNone\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;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",
       "  final_answer(\"### 1. Task outcome (short version):\\nClaus\\n\\n### 2. Task outcome (extremely detailed             \n",
       "  version):\\nThe only Malko Competition recipient from the 20th Century (after 1977) whose nationality on record   \n",
       "  is a country that no longer exists is Claus Peter Flor, who won in 1983 and had East German nationality. East    \n",
       "  Germany ceased to exist in 1990 when it was reunified with West Germany.\\n\\n### 3. Additional context:\\nNone\")   \n",
       " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
       "
\n" ], "text/plain": [ " ─ \u001b[1mExecuting parsed code:\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;34m\"\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m### 1. Task outcome (short version):\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m\\n\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mClaus\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m\\n\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m\\n\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m### 2. Task outcome (extremely detailed \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;230;219;116;48;2;39;40;34mversion):\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m\\n\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mThe only Malko Competition recipient from the 20th Century (after 1977) whose nationality on record \u001b[0m \n", " \u001b[38;2;230;219;116;48;2;39;40;34mis a country that no longer exists is Claus Peter Flor, who won in 1983 and had East German nationality. East \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " \u001b[38;2;230;219;116;48;2;39;40;34mGermany ceased to exist in 1990 when it was reunified with West Germany.\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m\\n\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m\\n\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m### 3. Additional context:\u001b[0m\u001b[38;2;174;129;255;48;2;39;40;34m\\n\u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mNone\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: ### 1. Task outcome (short version):\n",
       "Claus\n",
       "\n",
       "### 2. Task outcome (extremely detailed version):\n",
       "The only Malko Competition recipient from the 20th Century (after 1977) whose nationality on record is a country \n",
       "that no longer exists is Claus Peter Flor, who won in 1983 and had East German nationality. East Germany ceased to \n",
       "exist in 1990 when it was reunified with West Germany.\n",
       "\n",
       "### 3. Additional context:\n",
       "None\n",
       "
\n" ], "text/plain": [ "\u001b[1;38;2;212;183;2mOut - Final answer: ### 1. Task outcome (short version):\u001b[0m\n", "\u001b[1;38;2;212;183;2mClaus\u001b[0m\n", "\n", "\u001b[1;38;2;212;183;2m### 2. Task outcome (extremely detailed version):\u001b[0m\n", "\u001b[1;38;2;212;183;2mThe only Malko Competition recipient from the 20th Century (after 1977) whose nationality on record is a country \u001b[0m\n", "\u001b[1;38;2;212;183;2mthat no longer exists is Claus Peter Flor, who won in 1983 and had East German nationality. East Germany ceased to \u001b[0m\n", "\u001b[1;38;2;212;183;2mexist in 1990 when it was reunified with West Germany.\u001b[0m\n", "\n", "\u001b[1;38;2;212;183;2m### 3. Additional context:\u001b[0m\n", "\u001b[1;38;2;212;183;2mNone\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 5: Duration 11.45 seconds| Input tokens: 35,840 | Output tokens: 1,193]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 5: Duration 11.45 seconds| Input tokens: 35,840 | Output tokens: 1,193]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "\n", "# Check if task_id and question_text are present\n", "filename = item.get(\"file_name\")\n", "if filename and not os.path.exists(\"downloaded_files/\"+filename):\n", " file_url = f\"{api_url}/files/{task_id}\"\n", " print(f\"Attempting to download file from: {file_url}\")\n", "\n", " try:\n", " response = requests.get(file_url, timeout=30) # Increased timeout\n", " response.raise_for_status() # Raise an exception for HTTP errors (4xx or 5xx)\n", "\n", " with open(\"downloaded_files/\"+filename, \"wb\") as f:\n", " f.write(response.content)\n", "\n", " except requests.exceptions.HTTPError as http_err:\n", " print(f\"HTTP error occurred: {http_err}\")\n", " print(f\"Response content (first 500 chars): {response.text[:500]}\")\n", " except requests.exceptions.ConnectionError as conn_err:\n", " print(f\"Connection error occurred: {conn_err}\")\n", " except requests.exceptions.Timeout as timeout_err:\n", " print(f\"Timeout error occurred: {timeout_err}\")\n", " except requests.exceptions.RequestException as req_err:\n", " print(f\"An unexpected error occurred during the request: {req_err}\")\n", " except Exception as e:\n", " print(f\"An unexpected error occurred: {e}\")\n", "if filename:\n", " question_text += f\" (file: downloaded_files/{filename})\"\n", "\n", "if not task_id or question_text is None:\n", " print(f\"Skipping item with missing task_id or question: {item}\")\n", "\n", "try:\n", " submitted_answer = agent(question_text)\n", " answers_payload.append({\"task_id\": task_id, \"submitted_answer\": submitted_answer})\n", " results_log.append({\"Task ID\": task_id, \"Question\": question_text, \"Submitted Answer\": submitted_answer})\n", "except Exception as e:\n", " print(f\"Error running agent on task {task_id}: {e}\")\n", " results_log.append({\"Task ID\": task_id, \"Question\": question_text, \"Submitted Answer\": f\"AGENT ERROR: {e}\"})\n" ] }, { "cell_type": "code", "execution_count": 151, "id": "aa7a6821", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "\"Here is the final answer from your managed agent 'None':\\n### 1. Task outcome (short version):\\nClaus\\n\\n### 2. Task outcome (extremely detailed version):\\nThe only Malko Competition recipient from the 20th Century (after 1977) whose nationality on record is a country that no longer exists is Claus Peter Flor, who won in 1983 and had East German nationality. East Germany ceased to exist in 1990 when it was reunified with West Germany.\\n\\n### 3. Additional context:\\nNone\"" ] }, "execution_count": 151, "metadata": {}, "output_type": "execute_result" } ], "source": [ "submitted_answer" ] }, { "cell_type": "markdown", "id": "8a386b3b", "metadata": {}, "source": [ "### different prompt template" ] }, { "cell_type": "code", "execution_count": 18, "id": "eeef39d1", "metadata": {}, "outputs": [], "source": [ "prompt_templates = {'system_prompt': 'You are an expert assistant who can solve any task using code blobs. You will be given a task to solve as best you can.\\nTo do so, you have been given access to a list of tools: these tools are basically Python functions which you can call with code.\\nTo solve the task, you must plan forward to proceed in a series of steps, in a cycle of \\'Thought:\\', \\'Code:\\', and \\'Observation:\\' sequences.\\n\\nAt each step, in the \\'Thought:\\' sequence, you should first explain your reasoning towards solving the task and the tools that you want to use.\\nThen in the \\'Code:\\' sequence, you should write the code in simple Python. The code sequence must end with \\'\\' sequence.\\nDuring each intermediate step, you can use \\'print()\\' to save whatever important information you will then need.\\nThese print outputs will then appear in the \\'Observation:\\' field, which will be available as input for the next step.\\nIn the end you have to return a final answer using the `final_answer` tool with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. 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. 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. 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\\nHere are a few examples using notional tools:\\n---\\nTask: \"What is the result of the following operation: 5 + 3 + 1294.678?\"\\n\\nThought: I will use python code to compute the result of the operation and then return the final answer using the `final_answer` tool\\nCode:\\n```py\\nresult = 5 + 3 + 1294.678\\nfinal_answer(print(f\"FINAL ANSWER: {result}\"))\\n```\\n\\n---\\nTask:\\n\"Answer the question in the variable `question` about the image stored in the variable `image`. The question is in French.\\nYou have been provided with these additional arguments, that you can access using the keys as variables in your python code:\\n{\\'question\\': \\'Quel est l\\'animal sur l\\'image?\\', \\'image\\': \\'path/to/image.jpg\\'}\"\\n\\nThought: I will use the following tools: `translator` to translate the question into English and then `image_qa` to answer the question on the input image.\\nCode:\\n```py\\ntranslated_question = translator(question=question, src_lang=\"French\", tgt_lang=\"English\")\\nprint(f\"The translated question is {translated_question}.\")\\nanswer = image_qa(image=image, question=translated_question)\\nfinal_answer(f\"FINAL ANSWER {answer}\")\\n```\\n\\n---\\nTask:\\nIn a 1979 interview, Stanislaus Ulam discusses with Martin Sherwin about other great physicists of his time, including Oppenheimer.\\nWhat does he say was the consequence of Einstein learning too much math on his creativity, in one word?\\n\\nThought: I need to find and read the 1979 interview of Stanislaus Ulam with Martin Sherwin.\\nCode:\\n```py\\npages = search(query=\"1979 interview Stanislaus Ulam Martin Sherwin physicists Einstein\")\\nprint(pages)\\n```\\nObservation:\\nNo result found for query \"1979 interview Stanislaus Ulam Martin Sherwin physicists Einstein\".\\n\\nThought: The query was maybe too restrictive and did not find any results. Let\\'s try again with a broader query.\\nCode:\\n```py\\npages = search(query=\"1979 interview Stanislaus Ulam\")\\nprint(pages)\\n```\\nObservation:\\nFound 6 pages:\\n[Stanislaus Ulam 1979 interview](https://ahf.nuclearmuseum.org/voices/oral-histories/stanislaus-ulams-interview-1979/)\\n\\n[Ulam discusses Manhattan Project](https://ahf.nuclearmuseum.org/manhattan-project/ulam-manhattan-project/)\\n\\n(truncated)\\n\\nThought: I will read the first 2 pages to know more.\\nCode:\\n```py\\nfor url in [\"https://ahf.nuclearmuseum.org/voices/oral-histories/stanislaus-ulams-interview-1979/\", \"https://ahf.nuclearmuseum.org/manhattan-project/ulam-manhattan-project/\"]:\\n whole_page = visit_webpage(url)\\n print(whole_page)\\n print(\"\\\\n\" + \"=\"*80 + \"\\\\n\") # Print separator between pages\\n```\\nObservation:\\nManhattan Project Locations:\\nLos Alamos, NM\\nStanislaus Ulam was a Polish-American mathematician. He worked on the Manhattan Project at Los Alamos and later helped design the hydrogen bomb. In this interview, he discusses his work at\\n(truncated)\\n\\nThought: I now have the final answer: from the webpages visited, Stanislaus Ulam says of Einstein: \"He learned too much mathematics and sort of diminished, it seems to me personally, it seems to me his purely physics creativity.\" Let\\'s answer in one word.\\nCode:\\n```py\\nfinal_answer(\"FINAL ANSWER diminished\")\\n```\\n\\n---\\nTask: \"Which city has the highest population: Guangzhou or Shanghai?\"\\n\\nThought: I need to get the populations for both cities and compare them: I will use the tool `search` to get the population of both cities.\\nCode:\\n```py\\nfor city in [\"Guangzhou\", \"Shanghai\"]:\\n print(f\"Population {city}:\", search(f\"{city} population\")\\n```\\nObservation:\\nPopulation Guangzhou: [\\'Guangzhou has a population of 15 million inhabitants as of 2021.\\']\\nPopulation Shanghai: \\'26 million (2019)\\'\\n\\nThought: Now I know that Shanghai has the highest population.\\nCode:\\n```py\\nfinal_answer(\"FINAL ANSWER Shanghai\")\\n```\\n\\n---\\nTask: \"What is the current age of the pope, raised to the power 0.36?\"\\n\\nThought: I will use the tool `wiki` to get the age of the pope, and confirm that with a web search.\\nCode:\\n```py\\npope_age_wiki = wiki(query=\"current pope age\")\\nprint(\"Pope age as per wikipedia:\", pope_age_wiki)\\npope_age_search = web_search(query=\"current pope age\")\\nprint(\"Pope age as per google search:\", pope_age_search)\\n```\\nObservation:\\nPope age: \"The pope Francis is currently 88 years old.\"\\n\\nThought: I know that the pope is 88 years old. Let\\'s compute the result using python code.\\nCode:\\n```py\\npope_current_age = 88 ** 0.36\\nfinal_answer(f\"FINAL ANSWER {pope_current_age}\")\\n```\\n\\nAbove example were using notional tools that might not exist for you. On top of performing computations in the Python code snippets that you create, you only have access to these tools, behaving like regular python functions:\\n```python\\n{%- for tool in tools.values() %}\\ndef {{ tool.name }}({% for arg_name, arg_info in tool.inputs.items() %}{{ arg_name }}: {{ arg_info.type }}{% if not loop.last %}, {% endif %}{% endfor %}) -> {{tool.output_type}}:\\n \"\"\"{{ tool.description }}\\n\\n Args:\\n {%- for arg_name, arg_info in tool.inputs.items() %}\\n {{ arg_name }}: {{ arg_info.description }}\\n {%- endfor %}\\n \"\"\"\\n{% endfor %}\\n```\\n\\n{%- if managed_agents and managed_agents.values() | list %}\\nYou can also give tasks to team members.\\nCalling a team member works the same as for calling a tool: simply, the only argument you can give in the call is \\'task\\'.\\nGiven that this team member is a real human, you should be very verbose in your task, it should be a long string providing informations as detailed as necessary.\\nHere is a list of the team members that you can call:\\n```python\\n{%- for agent in managed_agents.values() %}\\ndef {{ agent.name }}(\"Your query goes here.\") -> str:\\n \"\"\"{{ agent.description }}\"\"\"\\n{% endfor %}\\n```\\n{%- endif %}\\n\\nHere are the rules you should always follow to solve your task:\\n1. Always provide a \\'Thought:\\' sequence, and a \\'Code:\\\\n```py\\' sequence ending with \\'```\\' sequence, else you will fail.\\n2. Use only variables that you have defined!\\n3. Always use the right arguments for the tools. DO NOT pass the arguments as a dict as in \\'answer = wiki({\\'query\\': \"What is the place where James Bond lives?\"})\\', but use the arguments directly as in \\'answer = wiki(query=\"What is the place where James Bond lives?\")\\'.\\n4. Take care to not chain too many sequential tool calls in the same code block, especially when the output format is unpredictable. For instance, a call to search has an unpredictable return format, so do not have another tool call that depends on its output in the same block: rather output results with print() to use them in the next block.\\n5. Call a tool only when needed, and never re-do a tool call that you previously did with the exact same parameters.\\n6. Don\\'t name any new variable with the same name as a tool: for instance don\\'t name a variable \\'final_answer\\'.\\n7. Never create any notional variables in our code, as having these in your logs will derail you from the true variables.\\n8. You can use imports in your code, but only from the following list of modules: {{authorized_imports}}\\n9. The state persists between code executions: so if in one step you\\'ve created variables or imported modules, these will all persist.\\n10. Don\\'t give up! You\\'re in charge of solving the task, not providing directions to solve it.\\n\\nNow Begin!',\n", " 'planning': {'initial_plan': 'You are a world expert at analyzing a situation to derive facts, and plan accordingly towards solving a task.\\nBelow I will present you a task. You will need to 1. build a survey of facts known or needed to solve the task, then 2. make a plan of action to solve the task.\\n\\n## 1. Facts survey\\nYou will build a comprehensive preparatory survey of which facts we have at our disposal and which ones we still need.\\nThese \"facts\" will typically be specific names, dates, values, etc. Your answer should use the below headings:\\n### 1.1. Facts given in the task\\nList here the specific facts given in the task that could help you (there might be nothing here).\\n\\n### 1.2. Facts to look up\\nList here any facts that we may need to look up.\\nAlso list where to find each of these, for instance a website, a file... - maybe the task contains some sources that you should re-use here.\\n\\n### 1.3. Facts to derive\\nList here anything that we want to derive from the above by logical reasoning, for instance computation or simulation.\\n\\nDon\\'t make any assumptions. For each item, provide a thorough reasoning. Do not add anything else on top of three headings above.\\n\\n## 2. Plan\\nThen for the given task, develop a step-by-step high-level plan taking into account the above inputs and list of facts.\\nThis plan should involve individual tasks based on the available tools, that if executed correctly will yield the correct answer.\\nDo not skip steps, do not add any superfluous steps. Only write the high-level plan, DO NOT DETAIL INDIVIDUAL TOOL CALLS.\\nAfter writing the final step of the plan, write the \\'\\\\n\\' tag and stop there.\\n\\nYou can leverage these tools, behaving like regular python functions:\\n```python\\n{%- for tool in tools.values() %}\\ndef {{ tool.name }}({% for arg_name, arg_info in tool.inputs.items() %}{{ arg_name }}: {{ arg_info.type }}{% if not loop.last %}, {% endif %}{% endfor %}) -> {{tool.output_type}}:\\n \"\"\"{{ tool.description }}\\n\\n Args:\\n {%- for arg_name, arg_info in tool.inputs.items() %}\\n {{ arg_name }}: {{ arg_info.description }}\\n {%- endfor %}\\n \"\"\"\\n{% endfor %}\\n```\\n\\n{%- if managed_agents and managed_agents.values() | list %}\\nYou can also give tasks to team members.\\nCalling a team member works the same as for calling a tool: simply, the only argument you can give in the call is \\'task\\'.\\nGiven that this team member is a real human, you should be very verbose in your task, it should be a long string providing informations as detailed as necessary.\\nHere is a list of the team members that you can call:\\n```python\\n{%- for agent in managed_agents.values() %}\\ndef {{ agent.name }}(\"Your query goes here.\") -> str:\\n \"\"\"{{ agent.description }}\"\"\"\\n{% endfor %}\\n```\\n{%- endif %}\\n\\n---\\nNow begin! Here is your task:\\n```\\n{{task}}\\n```\\nFirst in part 1, write the facts survey, then in part 2, write your plan.',\n", " 'update_plan_pre_messages': 'You are a world expert at analyzing a situation, and plan accordingly towards solving a task.\\nYou have been given the following task:\\n```\\n{{task}}\\n```\\n\\nBelow you will find a history of attempts made to solve this task.\\nYou will first have to produce a survey of known and unknown facts, then propose a step-by-step high-level plan to solve the task.\\nIf the previous tries so far have met some success, your updated plan can build on these results.\\nIf you are stalled, you can make a completely new plan starting from scratch.\\n\\nFind the task and history below:',\n", " 'update_plan_post_messages': 'Now write your updated facts below, taking into account the above history:\\n## 1. Updated facts survey\\n### 1.1. Facts given in the task\\n### 1.2. Facts that we have learned\\n### 1.3. Facts still to look up\\n### 1.4. Facts still to derive\\n\\nThen write a step-by-step high-level plan to solve the task above.\\n## 2. Plan\\n### 2. 1. ...\\nEtc.\\nThis plan should involve individual tasks based on the available tools, that if executed correctly will yield the correct answer.\\nBeware that you have {remaining_steps} steps remaining.\\nDo not skip steps, do not add any superfluous steps. Only write the high-level plan, DO NOT DETAIL INDIVIDUAL TOOL CALLS.\\nAfter writing the final step of the plan, write the \\'\\\\n\\' tag and stop there.\\n\\nYou can leverage these tools, behaving like regular python functions:\\n```python\\n{%- for tool in tools.values() %}\\ndef {{ tool.name }}({% for arg_name, arg_info in tool.inputs.items() %}{{ arg_name }}: {{ arg_info.type }}{% if not loop.last %}, {% endif %}{% endfor %}) -> {{tool.output_type}}:\\n \"\"\"{{ tool.description }}\\n\\n Args:\\n {%- for arg_name, arg_info in tool.inputs.items() %}\\n {{ arg_name }}: {{ arg_info.description }}\\n {%- endfor %}\"\"\"\\n{% endfor %}\\n```\\n\\n{%- if managed_agents and managed_agents.values() | list %}\\nYou can also give tasks to team members.\\nCalling a team member works the same as for calling a tool: simply, the only argument you can give in the call is \\'task\\'.\\nGiven that this team member is a real human, you should be very verbose in your task, it should be a long string providing informations as detailed as necessary.\\nHere is a list of the team members that you can call:\\n```python\\n{%- for agent in managed_agents.values() %}\\ndef {{ agent.name }}(\"Your query goes here.\") -> str:\\n \"\"\"{{ agent.description }}\"\"\"\\n{% endfor %}\\n```\\n{%- endif %}\\n\\nNow write your updated facts survey below, then your new plan.'},\n", " 'managed_agent': {'task':(\n", " \"You are a highly capable and autonomous agent named {{name}}, designed to solve complex tasks efficiently.\\n\"\n", " \"A valued client has assigned you the following task:\\n\"\n", " \"---\\n\"\n", " \"Task:\\n\"\n", " \"{{task}}\\n\"\n", " \"---\\n\"\n", " \"To complete this task successfully, follow these steps carefully:\\n\"\n", " \" 1. Comprehend the task and identify the intended goal.\\n\"\n", " \" 2. Break the task into clear, logical steps.\\n\"\n", " \" 3. Select and prepare the tools or resources you need.\\n\"\n", " \" 4. Set up the required environment or context.\\n\"\n", " \" 5. Execute each step methodically.\\n\"\n", " \" 6. Monitor outcomes and identify any deviations.\\n\"\n", " \" 7. Revise your plan if necessary based on feedback.\\n\"\n", " \" 8. Maintain internal state and track progress.\\n\"\n", " \" 9. Verify that the goal has been fully achieved.\\n\"\n", " \" 10. Present the final result clearly and concisely.\\n\"\n", " \"If you succeed, you will be rewarded with a significant bonus.\\n\\n\"\n", " \"Your final_answer MUST be:\\n\"\n", " \"- a number (retain its original type; do not include units),\\n\"\n", " \"- a concise phrase,\\n\"\n", " \"- or a comma-separated list of numbers or strings (no articles, no abbreviations).\\n\\n\"\n", " \"Only the content passed to the final_answer tool will be preserved. Any other content will be discarded.\"),\n", " 'report': \"{{final_answer}}\"},\n", " 'final_answer': {\n", " 'pre_messages': \"\",\n", " 'post_messages': \"\"\n", " }}" ] }, { "cell_type": "code", "execution_count": 13, "id": "0ffa556d", "metadata": {}, "outputs": [], "source": [ "agent = CodeAgent(\n", " tools=tools,\n", " model=model,\n", " prompt_templates = prompt_templates,\n", " max_steps=10, # should be enough, first guess --> to check\n", " planning_interval=3, # should be enough, first guess --> to check\n", " verbosity_level=2, # 0: no output, 1: only errors, 2: all outputs \n", " additional_authorized_imports=[\"datetime\", \"numpy\", \"requests\", \"json\", \"re\", \n", " \"bs4\", \"pandas\", \"lxml\", \"pymupdf\", \"openpyxl\", \n", " \"scipy\", \"PIL\", \"cv2\"], \n", " )" ] }, { "cell_type": "code", "execution_count": 14, "id": "1f1969a0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'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?'" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "question_text" ] }, { "cell_type": "code", "execution_count": 15, "id": "0073b2dc", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
╭──────────────────────────────────────────────────── New run ────────────────────────────────────────────────────╮\n",
       "│                                                                                                                 │\n",
       "│ You are a highly capable and autonomous agent named None, designed to solve complex tasks efficiently.          │\n",
       "│ A valued client has assigned you the following task:                                                            │\n",
       "│ ---                                                                                                             │\n",
       "│ Task:                                                                                                           │\n",
       "│ What is the first name of the only Malko Competition recipient from the 20th Century (after 1977) whose         │\n",
       "│ nationality on record is a country that no longer exists?                                                       │\n",
       "│ ---                                                                                                             │\n",
       "│ To complete this task successfully, follow these steps carefully:                                               │\n",
       "│     1. Comprehend the task and identify the intended goal.                                                      │\n",
       "│     2. Break the task into clear, logical steps.                                                                │\n",
       "│     3. Select and prepare the tools or resources you need.                                                      │\n",
       "│     4. Set up the required environment or context.                                                              │\n",
       "│     5. Execute each step methodically.                                                                          │\n",
       "│     6. Monitor outcomes and identify any deviations.                                                            │\n",
       "│     7. Revise your plan if necessary based on feedback.                                                         │\n",
       "│     8. Maintain internal state and track progress.                                                              │\n",
       "│     9. Verify that the goal has been fully achieved.                                                            │\n",
       "│    10. Present the final result clearly and concisely.                                                          │\n",
       "│ If you succeed, you will be rewarded with a significant bonus.                                                  │\n",
       "│                                                                                                                 │\n",
       "│ Your final_answer MUST be:                                                                                      │\n",
       "│ - a number (retain its original type; do not include units),                                                    │\n",
       "│ - a concise phrase,                                                                                             │\n",
       "│ - or a comma-separated list of numbers or strings (no articles, no abbreviations).                              │\n",
       "│                                                                                                                 │\n",
       "│ Only the content passed to the final_answer tool will be preserved. Any other content will be discarded.        │\n",
       "│                                                                                                                 │\n",
       "╰─ LiteLLMModel - ollama/devstral:24b ────────────────────────────────────────────────────────────────────────────╯\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\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[1mYou are a highly capable and autonomous agent named None, designed to solve complex tasks efficiently.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mA valued client has assigned you the following task:\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m---\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mTask:\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mWhat is the first name of the only Malko Competition recipient from the 20th Century (after 1977) whose \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mnationality on record is a country that no longer exists?\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m---\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mTo complete this task successfully, follow these steps carefully:\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m 1. Comprehend the task and identify the intended goal.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m 2. Break the task into clear, logical steps.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m 3. Select and prepare the tools or resources you need.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m 4. Set up the required environment or context.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m 5. Execute each step methodically.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m 6. Monitor outcomes and identify any deviations.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m 7. Revise your plan if necessary based on feedback.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m 8. Maintain internal state and track progress.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m 9. Verify that the goal has been fully achieved.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m 10. Present the final result clearly and concisely.\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mIf you succeed, you will be rewarded with a significant bonus.\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[1mYour final_answer MUST be:\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m- a number (retain its original type; do not include units),\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m- a concise phrase,\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n", "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m- or a comma-separated list of numbers or strings (no articles, no abbreviations).\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[1mOnly the content passed to the final_answer tool will be preserved. Any other content will be discarded.\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 LiteLLMModel - ollama/devstral:24b \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",
       "- We're looking for the first name of a recipient of the Malko Competition from the 20th Century (after 1977).\n",
       "- The recipient's nationality on record is a country that no longer exists.\n",
       "\n",
       "### 1.2. Facts to look up\n",
       "- List of Malko Competition recipients, specifically those from the 20th century after 1977.\n",
       "  - Source: Wikipedia page for \"Malko Competition\" or similar authoritative source.\n",
       "- Nationalities of these recipients and verification if any are from countries that no longer exist.\n",
       "\n",
       "### 1.3. Facts to derive\n",
       "- Identify the recipient who meets both criteria (post-1977 in the 20th century and from a country that no longer \n",
       "exists).\n",
       "- Extract their first name.\n",
       "\n",
       "## 2. Plan\n",
       "1. **Identify relevant sources**: Use Wikipedia or other authoritative source to find information about Malko \n",
       "Competition recipients.\n",
       "2. **Retrieve list of recipients**: Focus on those who received the award in the 20th century after 1977.\n",
       "3. **Check nationalities**: Verify which countries these recipients are from and identify any that no longer exist.\n",
       "4. **Identify matching recipient**: Find the one who fits both criteria (post-1977 in the 20th century and from a \n",
       "defunct country).\n",
       "5. **Extract first name**: Get the first name of this specific Malko Competition recipient.\n",
       "6. **Present 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", "- We're looking for the first name of a recipient of the Malko Competition from the 20th Century (after 1977).\n", "- The recipient's nationality on record is a country that no longer exists.\n", "\n", "### 1.2. Facts to look up\n", "- List of Malko Competition recipients, specifically those from the 20th century after 1977.\n", " - Source: Wikipedia page for \"Malko Competition\" or similar authoritative source.\n", "- Nationalities of these recipients and verification if any are from countries that no longer exist.\n", "\n", "### 1.3. Facts to derive\n", "- Identify the recipient who meets both criteria (post-1977 in the 20th century and from a country that no longer \n", "exists).\n", "- Extract their first name.\n", "\n", "## 2. Plan\n", "1. **Identify relevant sources**: Use Wikipedia or other authoritative source to find information about Malko \n", "Competition recipients.\n", "2. **Retrieve list of recipients**: Focus on those who received the award in the 20th century after 1977.\n", "3. **Check nationalities**: Verify which countries these recipients are from and identify any that no longer exist.\n", "4. **Identify matching recipient**: Find the one who fits both criteria (post-1977 in the 20th century and from a \n", "defunct country).\n", "5. **Extract first name**: Get the first name of this specific Malko Competition recipient.\n", "6. **Present 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",
       "I'll start by searching for information about the Malko Competition recipients to identify those who were awarded  \n",
       "in the 20th century after 1977, and then check their nationalities to see if any are from countries that no longer \n",
       "exist. Let's begin by looking up the relevant Wikipedia page.                                                      \n",
       "                                                                                                                   \n",
       "```py                                                                                                              \n",
       "malko_info = get_wikipedia_markdown(\"Malko Competition\", \"en\", True, True)                                         \n",
       "print(malko_info)                                                                                                  \n",
       "```                                                                                                                \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;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;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;23msearching\u001b[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;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;23mabout\u001b[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;23mMalko\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mCompetition\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrecipients\u001b[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;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;23mthose\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\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;23mwere\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mawarded\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;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;23m20th\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mcentury\u001b[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;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;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;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;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;23mtheir\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mnationalities\u001b[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;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;23mif\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23many\u001b[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;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;23mcountries\u001b[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;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;23mlonger\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;23mexist.\u001b[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;23mbegin\u001b[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;23mlooking\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mup\u001b[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;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;23mWikipedia\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mpage.\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;165;214;255;48;2;13;17;23m```\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mpy\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mmalko_info\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[1;38;2;255;123;114;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_wikipedia_markdown\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\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mMalko Competition\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23men\u001b[0m\u001b[38;2;165;214;255;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;121;192;255;48;2;13;17;23mTrue\u001b[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;121;192;255;48;2;13;17;23mTrue\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;23mprint\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m(\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mmalko_info\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;165;214;255;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",
       "  malko_info = get_wikipedia_markdown(\"Malko Competition\", \"en\", True, True)                                       \n",
       "  print(malko_info)                                                                                                \n",
       " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
       "
\n" ], "text/plain": [ " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n", " \u001b[38;2;248;248;242;48;2;39;40;34mmalko_info\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_wikipedia_markdown\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;34mMalko Competition\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;34men\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;102;217;239;48;2;39;40;34mTrue\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;102;217;239;48;2;39;40;34mTrue\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;34mmalko_info\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",
       "International competition for young conductors\n",
       "\n",
       "The **Malko Competition** is an international competition for young conductors. It is held every three years by the\n",
       "Danish Radio Symphony Orchestra, to commemorate its founding conductor, Nicolai Malko.\n",
       "\n",
       "Recipients\n",
       "----------\n",
       "\n",
       "| Year | Recipient | Lifetime | Nationality | Notes |\n",
       "| --- | --- | --- | --- | --- |\n",
       "| 1965 | Ralf Weikert | b. 1940 | Austria | |\n",
       "| 1968 | Avi Ostrowsky | b. 1939 | Israel | |\n",
       "| 1971 | Winston Dan Vogel | b. 1943 | United States | |\n",
       "| 1974 | Gotthard Lienicke | | | |\n",
       "| 1977 | Philip Barry Greenberg | | United States | |\n",
       "| 1980 | Maximiano Valdés | b. 1949 | Chile | |\n",
       "| 1983 | Claus Peter Flor | b. 1953 | East Germany | |\n",
       "| 1986 | Kazufumi Yamashita | b. 1961 | Japan | |\n",
       "| 1989 | Fabio Mechetti | b. 1957 | Brazil | |\n",
       "| 1992 | Jin Wang | b. 1960 | Austria | |\n",
       "| 1995 | Jan Wagner | | Venezuela | |\n",
       "| 1998 | Seikyo Kim | b. 1970 | Japan | |\n",
       "| 2001 | Josep Caballé Domenech | b. 1973 | Spain | |\n",
       "| 2005 | Mei-Ann Chen | b. 1973 | United States | |\n",
       "| 2009 | Joshua Weilerstein | b. 1987 | United States | |\n",
       "| 2012 | Rafael Payare | b. 1980 | Venezuela | |\n",
       "| 2015 | Tung-Chieh Chuang | b. 1982 | Taiwan | |\n",
       "| 2018 | Ryan Bancroft | b. 1989 | United States | |\n",
       "| 2021 | Dmitry Matvienko | b. 1990 | Belarus | |\n",
       "| 2024 | Samuel Seungwon Lee | b. 1990 | South Korea | |\n",
       "\n",
       "Notes\n",
       "-----\n",
       "\n",
       "1. **^** No first prize was awarded in 2001, and Caballé-Domenech was appointed the highest (2nd) prize.\n",
       "\n",
       "Out: None\n",
       "
\n" ], "text/plain": [ "\u001b[1mExecution logs:\u001b[0m\n", "International competition for young conductors\n", "\n", "The **Malko Competition** is an international competition for young conductors. It is held every three years by the\n", "Danish Radio Symphony Orchestra, to commemorate its founding conductor, Nicolai Malko.\n", "\n", "Recipients\n", "----------\n", "\n", "| Year | Recipient | Lifetime | Nationality | Notes |\n", "| --- | --- | --- | --- | --- |\n", "| 1965 | Ralf Weikert | b. 1940 | Austria | |\n", "| 1968 | Avi Ostrowsky | b. 1939 | Israel | |\n", "| 1971 | Winston Dan Vogel | b. 1943 | United States | |\n", "| 1974 | Gotthard Lienicke | | | |\n", "| 1977 | Philip Barry Greenberg | | United States | |\n", "| 1980 | Maximiano Valdés | b. 1949 | Chile | |\n", "| 1983 | Claus Peter Flor | b. 1953 | East Germany | |\n", "| 1986 | Kazufumi Yamashita | b. 1961 | Japan | |\n", "| 1989 | Fabio Mechetti | b. 1957 | Brazil | |\n", "| 1992 | Jin Wang | b. 1960 | Austria | |\n", "| 1995 | Jan Wagner | | Venezuela | |\n", "| 1998 | Seikyo Kim | b. 1970 | Japan | |\n", "| 2001 | Josep Caballé Domenech | b. 1973 | Spain | |\n", "| 2005 | Mei-Ann Chen | b. 1973 | United States | |\n", "| 2009 | Joshua Weilerstein | b. 1987 | United States | |\n", "| 2012 | Rafael Payare | b. 1980 | Venezuela | |\n", "| 2015 | Tung-Chieh Chuang | b. 1982 | Taiwan | |\n", "| 2018 | Ryan Bancroft | b. 1989 | United States | |\n", "| 2021 | Dmitry Matvienko | b. 1990 | Belarus | |\n", "| 2024 | Samuel Seungwon Lee | b. 1990 | South Korea | |\n", "\n", "Notes\n", "-----\n", "\n", "1. **^** No first prize was awarded in 2001, and Caballé-Domenech was appointed the highest (2nd) prize.\n", "\n", "Out: None\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 1: Duration 23.03 seconds| Input tokens: 4,527 | Output tokens: 100]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 1: Duration 23.03 seconds| Input tokens: 4,527 | Output tokens: 100]\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",
       "I have identified potential recipients of the Malko Competition after 1977 who might be from a country that no     \n",
       "longer exists. Let's analyze the nationalities in the table:                                                       \n",
       "                                                                                                                   \n",
       "- **Claus Peter Flor** from East Germany: The country \"East Germany\" (GDR) no longer exists.                       \n",
       "                                                                                                                   \n",
       "Now I'll verify if there were any other recipients from countries that have ceased to exist and then extract the   \n",
       "first name of Claus Peter Flor for confirmation.                                                                   \n",
       "                                                                                                                   \n",
       "```py                                                                                                              \n",
       "first_name = \"Claus\"                                                                                               \n",
       "final_answer(f\"FINAL ANSWER {first_name}\")                                                                         \n",
       "```                                                                                                                \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;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;23midentified\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mpotential\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mrecipients\u001b[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;23mMalko\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mCompetition\u001b[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;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;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;23mmight\u001b[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;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;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;23mcountry\u001b[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;23mno\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;23mlonger\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mexists.\u001b[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;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;23mnationalities\u001b[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;23mtable:\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;255;123;114;48;2;13;17;23m-\u001b[0m\u001b[38;2;110;118;129;48;2;13;17;23m \u001b[0m\u001b[1;38;2;230;237;243;48;2;13;17;23m**Claus Peter Flor**\u001b[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;23mEast\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mGermany:\u001b[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;23mcountry\u001b[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\"East\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mGermany\"\u001b[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(GDR)\u001b[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;23mlonger\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mexists.\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;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;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;23mverify\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mif\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mthere\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mwere\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23many\u001b[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;23mrecipients\u001b[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;23mcountries\u001b[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;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;23mceased\u001b[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;23mexist\u001b[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;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;23mextract\u001b[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;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;23mname\u001b[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;23mClaus\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mPeter\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mFlor\u001b[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;23mconfirmation.\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;165;214;255;48;2;13;17;23m```\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mpy\u001b[0m\u001b[48;2;13;17;23m \u001b[0m\n", "\u001b[38;2;230;237;243;48;2;13;17;23mfirst_name\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m \u001b[0m\u001b[1;38;2;255;123;114;48;2;13;17;23m=\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\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mClaus\u001b[0m\u001b[38;2;165;214;255;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;23mfinal_answer\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23m(\u001b[0m\u001b[38;2;121;192;255;48;2;13;17;23mf\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m\"\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23mFINAL ANSWER \u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m{\u001b[0m\u001b[38;2;230;237;243;48;2;13;17;23mfirst_name\u001b[0m\u001b[38;2;165;214;255;48;2;13;17;23m}\u001b[0m\u001b[38;2;165;214;255;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;165;214;255;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",
       "  first_name = \"Claus\"                                                                                             \n",
       "  final_answer(f\"FINAL ANSWER {first_name}\")                                                                       \n",
       " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n",
       "
\n" ], "text/plain": [ " ─ \u001b[1mExecuting parsed code:\u001b[0m ──────────────────────────────────────────────────────────────────────────────────────── \n", " \u001b[38;2;248;248;242;48;2;39;40;34mfirst_name\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;34mClaus\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;34mFINAL ANSWER \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;34mfirst_name\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;34m)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \n", " ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Out - Final answer: FINAL ANSWER Claus\n",
       "
\n" ], "text/plain": [ "\u001b[1;38;2;212;183;2mOut - Final answer: FINAL ANSWER Claus\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
[Step 2: Duration 4.68 seconds| Input tokens: 9,800 | Output tokens: 221]\n",
       "
\n" ], "text/plain": [ "\u001b[2m[Step 2: Duration 4.68 seconds| Input tokens: 9,800 | Output tokens: 221]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "submitted_answer = agent(question_text)" ] }, { "cell_type": "code", "execution_count": null, "id": "dc40c25a", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "GaiaAgent", "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": "3.10.17" } }, "nbformat": 4, "nbformat_minor": 5 }
headers.\n", " \"\"\"\n", " headers = []\n", " header_row = table_tag.find(\"tr\")\n", " if header_row:\n", " for th in header_row.find_all(\"th\"):\n", " headers.append(th.get_text(strip=True))\n", " md_table = \"\"\n", " if headers:\n", " md_table += \"| \" + \" | \".join(headers) + \" |\\n\"\n", " md_table += \"| \" + \" | \".join(\"---\" for _ in headers) + \" |\\n\"\n", " # Now process data rows (skip the first