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How to use parse_global method in autotest

Best Python code snippet using autotest_python

translate.py

Source:translate.py

...25def translate_text(text):26    if len(text) > 255:27        return f"Too many characters. Try sending less than 255 characters"28    if not text.strip():29        return parse_global(TYPE_HELP, EXAMPLES, MISSING_TEXT)30    if text == "help":31        return parse_global(32            ["Usage", "Examples"], HELP_TEXT, "Translate guide"33        )34    if text == "languages":35        return "https://cloud.google.com/translate/docs/languages"36    kwargs = text.split(" ")[0].split("=")37    if len(kwargs) == 2 and kwargs[0] == "target":38        if not kwargs[1]:39            return parse_global(TYPE_HELP, EXAMPLES, MISSING_TARGET)40        target = kwargs[1]41        text = " ".join(text.split(" ")[1:])42        if not text.strip():43            return parse_global(TYPE_HELP, EXAMPLES, MISSING_TEXT)44    else:45        target = "en"46    translate_client = translate.Client()47    if isinstance(text, six.binary_type):48        text = text.decode("utf-8")49    # Text can also be a sequence of strings, in which case this method50    # will return a sequence of results for each text.51    try:52        result = translate_client.translate(53            text, target_language=target, format_="text"54        )55    except (GoogleAPICallError, BadRequest) as e:56        logger.error(e)57        return "Something went wrong. For usage and examples type '/translate help'."58    return parse_global(59        title="ð¬ Translate",60        stats={61            "Source text": result["input"],62            "Source language": result["detectedSourceLanguage"],63            "Translation": result["translatedText"],64        },65        items={},...

03-extract_list.py

Source:03-extract_list.py

2import csv3import re4from scrapy.http import HtmlResponse5# Extract links from bullet point lists.6def parse_global(html):7    response = HtmlResponse("", body=html)8    return response.css("li a[href*='wikidata.org/wiki/Q']::attr(href)").getall()9# Mapping from Wikidata IDs to the corresponding enwiki page titles.10with open("wikidata_to_enwiki.tsv", "rt") as f:11    wikidata_to_enwiki = {12        wikidata: enwiki for wikidata, enwiki in csv.reader(f, delimiter="\t")13    }14# List of sections from the following page:15# https://meta.wikimedia.org/wiki/List_of_articles_every_Wikipedia_should_have/Expanded16PAGES = "People History Geography Arts Philosophy_and_religion Anthropology,_psychology_and_everyday_life Society_and_social_sciences Biology_and_health_sciences Physical_sciences Technology Mathematics".split()17WIKIDATA_LINK = re.compile("https://www\.wikidata\.org/wiki/(Q[0-9]+)$")18# Extract of English Wikipedia page titles corresponding to pages which are considered19# fundamental. Write them to a TSV file, including their broad category too.20count = 021skipped = 122with open("global_list.tsv", "wt") as fout:23    for page in PAGES:24        category = page.replace("_", " ")25        with open(f"html/Global:{page}.html", "rb") as fin:26            for link in parse_global(fin.read()):27                match = re.match(WIKIDATA_LINK, link)28                if match:29                    entity_id = match.group(1)30                    if entity_id not in wikidata_to_enwiki:31                        skipped += 132                    else:33                        fout.write(f"{category}\t{wikidata_to_enwiki[entity_id]}\n")...

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