Add common crawl extract script and dependency management with poetry
This commit is contained in:
Daoud Clarke
parent
896f782379
commit
312f32bf61
3 changed files with 696 additions and 0 deletions
214
extract.py
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214
extract.py
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"""
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Extract content from HTML files and store it as compressed JSON
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"""
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import json
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import os
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from io import BytesIO
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from pathlib import Path
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from urllib.parse import urlparse
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import spacy as spacy
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from justext import get_stoplist
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from justext.core import LENGTH_LOW_DEFAULT, LENGTH_HIGH_DEFAULT, STOPWORDS_LOW_DEFAULT, \
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STOPWORDS_HIGH_DEFAULT, MAX_LINK_DENSITY_DEFAULT, NO_HEADINGS_DEFAULT, \
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MAX_HEADING_DISTANCE_DEFAULT, DEFAULT_ENCODING, DEFAULT_ENC_ERRORS, preprocessor, html_to_dom, \
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ParagraphMaker, classify_paragraphs, revise_paragraph_classification
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from langdetect import detect
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from lxml.etree import ParserError
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from pyspark.sql import DataFrame
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from pyspark.sql import SparkSession, SQLContext
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from pyspark.sql.types import StructType, StructField, StringType, LongType
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from pyspark.sql.functions import expr, col
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from pyspark import SparkFiles
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import boto3
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from warcio import ArchiveIterator
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OUTPUT_PATH = 's3://tinysearch/outputs/index'
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MAX_URI_LENGTH = 150
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NUM_CHARS_TO_ANALYSE = 1000
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NUM_TITLE_CHARS = 65
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NUM_EXTRACT_CHARS = 155
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NUM_PAGES = 1024
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MAX_RESULTS_PER_HASH = 200
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PAGE_SIZE = 4096
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nlp = spacy.load("en_core_web_sm", disable=['lemmatizer', 'ner'])
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index_schema = StructType([
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StructField("term_hash", LongType(), False),
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StructField("data", StringType(), False),
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StructField("top", StringType(), False),
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])
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spark = SparkSession \
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.builder \
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.appName("Python Spark SQL basic example") \
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.config("spark.some.config.option", "some-value") \
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.getOrCreate()
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def run():
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sqlc = SQLContext(sparkContext=spark)
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df = spark.read.load('s3://commoncrawl/cc-index/table/cc-main/warc/')
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df.createOrReplaceTempView('ccindex')
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sqldf = spark.sql('''SELECT url, warc_filename, warc_record_offset,
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warc_record_length
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FROM ccindex
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WHERE crawl = 'CC-MAIN-2021-43'
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AND subset = 'warc'
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''')
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sqldf = sqldf.filter(col('url_host_name').isin(list(DOMAINS.keys())))
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print("Got rows", sqldf.take(10))
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print("Num rows", sqldf.count())
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sqldf = sqldf.sample(fraction=0.001)
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warc_recs = sqldf.select("url", "warc_filename", "warc_record_offset", "warc_record_length").rdd
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rdd = warc_recs.mapPartitions(fetch_process_warc_records)
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output = sqlc.createDataFrame(rdd, schema=output_schema)
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output.write.option('compression', 'gzip').format('json').mode('overwrite').save(OUTPUT_PATH)
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def fetch_process_warc_records(rows):
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"""Fetch all WARC records defined by filenames and offsets in rows,
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parse the records and the contained HTML, split the text into words
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and emit pairs <word, 1>"""
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s3client = boto3.client('s3')
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for row in rows:
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warc_path = row['warc_filename']
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offset = int(row['warc_record_offset'])
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length = int(row['warc_record_length'])
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rangereq = 'bytes={}-{}'.format(offset, (offset+length-1))
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response = s3client.get_object(Bucket='commoncrawl',
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Key=warc_path,
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Range=rangereq)
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record_stream = BytesIO(response["Body"].read())
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for record in ArchiveIterator(record_stream):
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for result in process_record(record):
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yield result
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def get_domain_rating(url):
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domain = urlparse(url).netloc
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return DOMAINS.get(domain)
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def is_html(record):
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"""Return true if (detected) MIME type of a record is HTML"""
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html_types = ['text/html', 'application/xhtml+xml']
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if (('WARC-Identified-Payload-Type' in record.rec_headers) and
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(record.rec_headers['WARC-Identified-Payload-Type'] in
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html_types)):
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return True
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content_type = record.http_headers.get_header('content-type', None)
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if content_type:
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for html_type in html_types:
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if html_type in content_type:
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return True
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return False
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def justext(html_text, stoplist, length_low=LENGTH_LOW_DEFAULT,
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length_high=LENGTH_HIGH_DEFAULT, stopwords_low=STOPWORDS_LOW_DEFAULT,
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stopwords_high=STOPWORDS_HIGH_DEFAULT, max_link_density=MAX_LINK_DENSITY_DEFAULT,
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max_heading_distance=MAX_HEADING_DISTANCE_DEFAULT, no_headings=NO_HEADINGS_DEFAULT,
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encoding=None, default_encoding=DEFAULT_ENCODING,
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enc_errors=DEFAULT_ENC_ERRORS, preprocessor=preprocessor):
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"""
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Converts an HTML page into a list of classified paragraphs. Each paragraph
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is represented as instance of class ˙˙justext.paragraph.Paragraph˙˙.
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"""
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dom = html_to_dom(html_text, default_encoding, encoding, enc_errors)
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print("Parsed HTML")
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try:
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title = dom.find(".//title").text
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except AttributeError:
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title = None
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preprocessed_dom = preprocessor(dom)
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paragraphs = ParagraphMaker.make_paragraphs(preprocessed_dom)
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print("Got paragraphs")
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classify_paragraphs(paragraphs, stoplist, length_low, length_high,
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stopwords_low, stopwords_high, max_link_density, no_headings)
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revise_paragraph_classification(paragraphs, max_heading_distance)
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return paragraphs, title
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output_schema = StructType([
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StructField("uri", StringType(), False),
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StructField("title", StringType(), False),
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StructField("extract", StringType(), False),
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])
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def process_record(record):
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# print("Record", record.format, record.rec_type, record.rec_headers, record.raw_stream,
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# record.http_headers, record.content_type, record.length)
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if record.rec_type != 'response':
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# skip over WARC request or metadata records
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return
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if not is_html(record):
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return
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uri = record.rec_headers.get_header('WARC-Target-URI')
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if len(uri) > MAX_URI_LENGTH:
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print("URI too long", len(uri))
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return
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# rating = get_domain_rating(uri)
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# print("Rating", rating)
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# if rating is None:
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# return
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content = record.content_stream().read().strip()
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# print("Content", uri, content[:100])
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if not content:
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return
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try:
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all_paragraphs, full_title = justext(content, get_stoplist('English'))
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except UnicodeDecodeError:
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print("Unable to decode unicode")
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return
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except ParserError:
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print("Unable to parse")
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return
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if full_title is None:
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print("Missing title")
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return
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title = full_title[:NUM_TITLE_CHARS] + '…' \
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if len(full_title) > NUM_TITLE_CHARS else full_title
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text = '\n'.join([p.text for p in all_paragraphs
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if not p.is_boilerplate])[:NUM_CHARS_TO_ANALYSE]
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print("Paragraphs", text)
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if len(text) < NUM_EXTRACT_CHARS:
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return
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language = detect(text)
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print("Got language", language)
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if language != 'en':
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return
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extract = text[:NUM_EXTRACT_CHARS]
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yield uri, title, extract
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if __name__ == '__main__':
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run()
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458
poetry.lock
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458
poetry.lock
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[[package]]
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name = "beautifulsoup4"
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version = "4.10.0"
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description = "Screen-scraping library"
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category = "main"
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optional = false
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python-versions = ">3.0.0"
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[package.dependencies]
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soupsieve = ">1.2"
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[package.extras]
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html5lib = ["html5lib"]
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lxml = ["lxml"]
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[[package]]
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name = "boto3"
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version = "1.20.20"
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description = "The AWS SDK for Python"
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category = "main"
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optional = false
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python-versions = ">= 3.6"
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[package.dependencies]
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botocore = ">=1.23.20,<1.24.0"
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jmespath = ">=0.7.1,<1.0.0"
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s3transfer = ">=0.5.0,<0.6.0"
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[package.extras]
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crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
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[[package]]
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name = "botocore"
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version = "1.23.20"
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description = "Low-level, data-driven core of boto 3."
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category = "main"
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optional = false
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python-versions = ">= 3.6"
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[package.dependencies]
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jmespath = ">=0.7.1,<1.0.0"
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python-dateutil = ">=2.1,<3.0.0"
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urllib3 = ">=1.25.4,<1.27"
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[package.extras]
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crt = ["awscrt (==0.12.5)"]
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[[package]]
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name = "idna"
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version = "3.3"
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description = "Internationalized Domain Names in Applications (IDNA)"
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category = "main"
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optional = false
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python-versions = ">=3.5"
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[[package]]
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name = "jmespath"
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version = "0.10.0"
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description = "JSON Matching Expressions"
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category = "main"
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optional = false
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python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
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[[package]]
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name = "justext"
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version = "3.0.0"
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description = "Heuristic based boilerplate removal tool"
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category = "main"
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optional = false
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python-versions = "*"
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[package.dependencies]
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lxml = ">=4.4.2"
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[[package]]
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name = "lxml"
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version = "4.6.4"
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description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
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category = "main"
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optional = false
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, != 3.4.*"
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[package.extras]
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cssselect = ["cssselect (>=0.7)"]
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html5 = ["html5lib"]
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htmlsoup = ["beautifulsoup4"]
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source = ["Cython (>=0.29.7)"]
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[[package]]
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name = "numpy"
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version = "1.21.1"
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description = "NumPy is the fundamental package for array computing with Python."
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category = "main"
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optional = false
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python-versions = ">=3.7"
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[[package]]
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name = "numpy"
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version = "1.21.4"
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description = "NumPy is the fundamental package for array computing with Python."
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category = "main"
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optional = false
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python-versions = ">=3.7,<3.11"
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[[package]]
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name = "pandas"
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version = "1.3.4"
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description = "Powerful data structures for data analysis, time series, and statistics"
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category = "main"
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optional = false
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python-versions = ">=3.7.1"
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[package.dependencies]
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numpy = [
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{version = ">=1.17.3", markers = "platform_machine != \"aarch64\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
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{version = ">=1.19.2", markers = "platform_machine == \"aarch64\" and python_version < \"3.10\""},
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{version = ">=1.20.0", markers = "platform_machine == \"arm64\" and python_version < \"3.10\""},
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{version = ">=1.21.0", markers = "python_version >= \"3.10\""},
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]
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python-dateutil = ">=2.7.3"
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pytz = ">=2017.3"
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[package.extras]
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test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"]
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[[package]]
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name = "python-dateutil"
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version = "2.8.2"
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description = "Extensions to the standard Python datetime module"
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category = "main"
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optional = false
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python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
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[package.dependencies]
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six = ">=1.5"
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[[package]]
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name = "pytz"
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version = "2021.3"
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description = "World timezone definitions, modern and historical"
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category = "main"
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optional = false
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python-versions = "*"
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[[package]]
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name = "s3transfer"
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version = "0.5.0"
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description = "An Amazon S3 Transfer Manager"
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category = "main"
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optional = false
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python-versions = ">= 3.6"
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[package.dependencies]
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botocore = ">=1.12.36,<2.0a.0"
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[package.extras]
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crt = ["botocore[crt] (>=1.20.29,<2.0a.0)"]
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[[package]]
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name = "six"
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version = "1.16.0"
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description = "Python 2 and 3 compatibility utilities"
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category = "main"
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optional = false
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
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[[package]]
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name = "soupsieve"
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version = "2.3.1"
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description = "A modern CSS selector implementation for Beautiful Soup."
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category = "main"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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name = "ujson"
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version = "4.3.0"
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description = "Ultra fast JSON encoder and decoder for Python"
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category = "main"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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name = "urllib3"
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version = "1.26.7"
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description = "HTTP library with thread-safe connection pooling, file post, and more."
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category = "main"
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optional = false
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
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[package.extras]
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brotli = ["brotlipy (>=0.6.0)"]
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secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
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socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
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[[package]]
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name = "warcio"
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version = "1.7.4"
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description = "Streaming WARC (and ARC) IO library"
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category = "main"
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optional = false
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python-versions = "*"
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[package.dependencies]
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six = "*"
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[metadata]
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lock-version = "1.1"
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python-versions = "^3.9"
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content-hash = "b8a9967839a08627a26c7d1517ef8dc0c08b9c0f15cdeee6efc9381e07d522ab"
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[metadata.files]
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beautifulsoup4 = [
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{file = "beautifulsoup4-4.10.0-py3-none-any.whl", hash = "sha256:9a315ce70049920ea4572a4055bc4bd700c940521d36fc858205ad4fcde149bf"},
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{file = "beautifulsoup4-4.10.0.tar.gz", hash = "sha256:c23ad23c521d818955a4151a67d81580319d4bf548d3d49f4223ae041ff98891"},
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]
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boto3 = [
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{file = "boto3-1.20.20-py3-none-any.whl", hash = "sha256:6c173ffaf0604e34d6865edf7a9a71e1b3e79bd441b8b465ca4b2d44f840806d"},
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{file = "boto3-1.20.20.tar.gz", hash = "sha256:2c5377b6ab74eeccccd16f0f21537ede87b05c8322b0ccc852a68f36ea6c16c9"},
|
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]
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botocore = [
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{file = "botocore-1.23.20-py3-none-any.whl", hash = "sha256:98275e47c941cada6507089ecfe91e420972209b1deeceaf55a89ea50d046347"},
|
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{file = "botocore-1.23.20.tar.gz", hash = "sha256:22e1c7b4b2b8b11d7001ca5ef2b41bda9a8be46fb3cb994a2948462666ac5ef1"},
|
||||
]
|
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idna = [
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{file = "idna-3.3-py3-none-any.whl", hash = "sha256:84d9dd047ffa80596e0f246e2eab0b391788b0503584e8945f2368256d2735ff"},
|
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{file = "idna-3.3.tar.gz", hash = "sha256:9d643ff0a55b762d5cdb124b8eaa99c66322e2157b69160bc32796e824360e6d"},
|
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]
|
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jmespath = [
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{file = "jmespath-0.10.0-py2.py3-none-any.whl", hash = "sha256:cdf6525904cc597730141d61b36f2e4b8ecc257c420fa2f4549bac2c2d0cb72f"},
|
||||
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{file = "ujson-4.3.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:43d2403451d7bd27b6a600f89d4bd2cf6e1b3494254509d8b5ef3c8e94ae4d8e"},
|
||||
{file = "ujson-4.3.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:fd0901db652a58f46550074596227dbddb7a02d2de744d3cd2358101f78037bb"},
|
||||
{file = "ujson-4.3.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:00fd67952b1a8a46cf5b0a51b3838187332d13d2e8d178423c5a5405c21d9e7c"},
|
||||
{file = "ujson-4.3.0-cp37-cp37m-win32.whl", hash = "sha256:b0e9510e867c72a87db2d16377c2bef912f29afd8381d1fdae332b9b7f697efa"},
|
||||
{file = "ujson-4.3.0-cp37-cp37m-win_amd64.whl", hash = "sha256:294e907f134fb5d83e0a4439cf4040d74da77157938b4db5730cd174621dcf8b"},
|
||||
{file = "ujson-4.3.0-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:087cd977f4f63f885a49607244e7e157801a22aadcc075a262d3c3633138573c"},
|
||||
{file = "ujson-4.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4f35dcf6d2a67e913a7135809006bd000d55ad5b5834b5dbe5b82dcf8db1ac05"},
|
||||
{file = "ujson-4.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f158fdb08e022f2f16f0fba317a80558b0cebc7e2c84ae783e5f75616d5c90d5"},
|
||||
{file = "ujson-4.3.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2a06006dad34c8cfaa734bd6458452e46702b368da53b56e7732351082aa0420"},
|
||||
{file = "ujson-4.3.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:6df94e675b05ecf4e7a57883a73b916ffcb5872d7b1298ac5cef8ac1cbce73c6"},
|
||||
{file = "ujson-4.3.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:47af81df5d575e36d4be9396db94f35c8f62de3077a405f9af94f9756255cef5"},
|
||||
{file = "ujson-4.3.0-cp38-cp38-win32.whl", hash = "sha256:e46c1462761db518fae51ab0d89a6256aeac148a795f7244d9084c459b477af5"},
|
||||
{file = "ujson-4.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:bf199015910fcfa19b6e12881abeb462498791b2ab0111ff8b17095d0477e9d4"},
|
||||
{file = "ujson-4.3.0-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:32ee97ec37af31b35ca4395732d883bf74fb70309d38485f7fb9a5cc3332c53e"},
|
||||
{file = "ujson-4.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f211c7c0c9377cbf4650aa990118d0c2cce3c5fad476c39ecd35b6714ba4463"},
|
||||
{file = "ujson-4.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c81159d3f1bcb5729ba019e63e78ee6c91b556e1ac0e67c7579768720fd3c4e"},
|
||||
{file = "ujson-4.3.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b850029d64008e970cae04ada69aa33e1cd412106a1efde221269c1cda1b40cc"},
|
||||
{file = "ujson-4.3.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:327ec982bb89abe779fe463e1013c47aae6ed53b76600af7cb1e8b8cb0ee9f85"},
|
||||
{file = "ujson-4.3.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:103cbabe4e6fd70c957219519e37d65be612d7c74d91ef19022a2c8f8c5e4e82"},
|
||||
{file = "ujson-4.3.0-cp39-cp39-win32.whl", hash = "sha256:7b0a63865ec2978ebafb0906bf982eb52bea26fc98e2ae5e59b9d204afe2d762"},
|
||||
{file = "ujson-4.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:18040475d997d93a6851d8bee474fba2ec94869e8f826dddd66cdae4aa3fdb92"},
|
||||
{file = "ujson-4.3.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df481d4e13ca34d870d1fdf387742867edff3f78a1eea1bbcd72ea2fa68d9a6e"},
|
||||
{file = "ujson-4.3.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7e73ec5ba1b42c2027773f69b70eff28df132907aa98b28166c39d3ea45e85b"},
|
||||
{file = "ujson-4.3.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b270088e472f1d65a0a0aab3190010b9ac1a5b2969d39bf2b53c0fbf339bc87a"},
|
||||
{file = "ujson-4.3.0.tar.gz", hash = "sha256:baee56eca35cb5fbe02c28bd9c0936be41a96fa5c0812d9d4b7edeb5c3d568a0"},
|
||||
]
|
||||
urllib3 = [
|
||||
{file = "urllib3-1.26.7-py2.py3-none-any.whl", hash = "sha256:c4fdf4019605b6e5423637e01bc9fe4daef873709a7973e195ceba0a62bbc844"},
|
||||
{file = "urllib3-1.26.7.tar.gz", hash = "sha256:4987c65554f7a2dbf30c18fd48778ef124af6fab771a377103da0585e2336ece"},
|
||||
]
|
||||
warcio = [
|
||||
{file = "warcio-1.7.4-py2.py3-none-any.whl", hash = "sha256:ced1a162d76434d56abd81b37ac152821d1a11e1db835ead5d649f58068c2203"},
|
||||
{file = "warcio-1.7.4.tar.gz", hash = "sha256:e1889dad9ecac654de5b0973247f335a55827b1b14a8203772d18c749143ea51"},
|
||||
]
|
||||
24
pyproject.toml
Normal file
24
pyproject.toml
Normal file
|
|
@ -0,0 +1,24 @@
|
|||
[tool.poetry]
|
||||
name = "tinysearchengine"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
authors = ["Daoud Clarke <daoud.clarke@gmail.com>"]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.9"
|
||||
botocore = "^1.23.20"
|
||||
boto3 = "^1.20.20"
|
||||
ujson = "^4.3.0"
|
||||
warcio = "^1.7.4"
|
||||
idna = "^3.3"
|
||||
beautifulsoup4 = "^4.10.0"
|
||||
lxml = "^4.6.4"
|
||||
jusText = "^3.0.0"
|
||||
pandas = "^1.3.4"
|
||||
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core>=1.0.0"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
Loading…
Reference in a new issue