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Port,Commodity,Country,Time,Customs Value (Gen) ($US)
Total All Ports,"27 Mineral Fuel, Oil Etc.; Bitumin Subst; Mineral Wax",Colombia,2024 through November,"6,914,148,053"
Total All Ports,"71 Nat Etc Pearls, Prec Etc Stones, Pr Met Etc; Coin",Colombia,2024 through November,"1,986,812,521"
Total All Ports,"09 Coffee, Tea, Mate & Spices",Colombia,2024 through November,"1,307,370,016"
Total All Ports,"06 Live Trees, Plants, Bulbs Etc.; Cut Flowers Etc.",Colombia,2024 through November,"1,270,951,937"
Total All Ports,76 Aluminum And Articles Thereof,Colombia,2024 through November,"600,206,124"
Total All Ports,08 Edible Fruit & Nuts; Citrus Fruit Or Melon Peel,Colombia,2024 through November,"467,395,081"
Total All Ports,"99 Special Import Provisions, Nesoi",Colombia,2024 through November,"434,383,242"
Total All Ports,85 Electric Machinery Etc; Sound Equip; Tv Equip; Pts,Colombia,2024 through November,"407,556,287"
Total All Ports,"98 Special Classification Provisions, Nesoi",Colombia,2024 through November,"255,131

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import colorsys

FNV_OFFSET = 0x811C9DC5  # 2166136261, FNV-1 32-bit offset basis
FNV_PRIME = 0x01000193  # FNV-1a 32-bit prime


def fnv1a_32(value: str) -> int:
    """
    Compute the FNV-1a (32-bit) hash of a given data string.
    https://en.wikipedia.org/wiki/Fowler–Noll–Vo_hash_function

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[
  {
    "model": "json_search.document",
    "pk": 1,
    "fields": {
      "content": {
        "title": "No Man Is An Island",
        "author": "John Donne",
        "body": "No man is an island,\nEntire of itself,\nEvery man is a piece of the continent,\nA part of the main.\nIf a clod be washed away by the sea,\nEurope is the less.\nAs well as if a promontory were.\nAs well as if a manor of thy friend\u2019s\nOr of thine own were:\nAny man\u2019s death diminishes me,\nBecause I am involved in mankind,\nAnd therefore never send to know for whom the bell tolls;\nIt tolls for thee.\n"
      }

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"""
Parse an Nginx access.log file into a Pandas DataFrame. Also works with gzipped files.
"""

import argparse
import pathlib

import pandas as pd

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import csv
from collections import namedtuple
import gzip
from os import listdir
from os.path import join


Entry = namedtuple("Entry", "ip, blank, user, time, offset, request, status, sent, referer, agent")

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