帮我把这个PPT文档翻译成英文的，最好native speaker，尽量调整字号保持原来的格式

python
from pptx import Presentation
prs = Presentation("/mnt/data/251120_Storage box market research.pptx")
len(prs.slides)


11

python
slides_text = []
for idx, slide in enumerate(prs.slides, start=1):
    slide_text_items = []
    for shape in slide.shapes:
        if shape.has_text_frame:
            slide_text_items.append(shape.text.strip())
    slides_text.append((idx, slide_text_items))
slides_text

[(1, ['正特电商跨越式发展及户外储物市场拓展\x0b过程讨论']),
 (2, ['本次会议讨论重点', '户外储物市场拓展初步建议', '独立站对标研究及加速发展初步建议']),
 (3,
  ['',
   '',
   '户外储物市场覆盖品类，不局限于正特既有储物箱和储物柜产品',
   '户外储物屋 （Garden house/Shed1 ）',
   '户外储物柜/箱 （Storage shed/box）',
   '1. Keter将储物屋定义为Garden house, 而Lifetime, Suncast将大型储物屋定义为Shed，小型定义为storage box',
   '按占地面积区分',
   '按照体积、功能、开门方式等区分',
   '存储箱\nStorage box',
   '垃圾/收纳箱\nContainer storage',
   '自行车存储柜\nBicycle shed',
   '花园存储柜\nGarden sheds',
   '体积最小，上开盖+浅箱体于收纳小件且可移动/当座椅',
   '专为垃圾桶/收纳，前+顶双向开启、带坡道，强调“推入”便利与控制异味',
   '唯一“可走进去” 的类型,垂直空间大，可做多层收纳或简易工作间',
   '按“自行车数量”尺寸分级，门洞宽度/深度适配车把、车轮',
   '',
   '',
   '',
   '小型储物屋\nSmall garden house',
   '占地最小，2-4平米，能塞进窄墙角，用来放手工具、坐垫、垃圾桶等小件',
   '',
   '中型储物屋\nMiddle garden house',
   '占地中等，4-7平米，家用灵活仓，能放折叠家具、成人自行车、推式割草机',
   '',
   '大型储物屋\nLarge garden house',
   '占地最大，7平米以上，可走进去并长时间操作，能当大件仓库亦能作半功能室']),
 (4,
  ['',
   '',
   '',
   '市场概况：美国及欧洲核心国家外，第二梯队市场仍较可观',
   '',
   '美国',
   '德国',
   '英国',
   '法国',
   '加拿大',
   '意大利',
   '巴西',
   '西班牙',
   '墨西哥',
   '日本',
   '沙特',
   '土耳其',
   '澳大利亚',
   '瑞士',
   '21.3',
   '2.7',
   '2.6',
   '2.5',
   '1.8',
   '1.4',
   '1.2',
   '1.1',
   '1.1',
   '1.0',
   '1.0',
   '0.9',
   '0.6',
   '0.6',
   '24户外储物国家市场规模1（亿美元）',
   '包含Storage box & storage shed\n数据来源：Cognitive数据库，BCG分析',
   '29.0',
   '58%',
   '10.6',
   '21%',
   '42.6%',
   '市场占比',
   '5.3%',
   '5.1%',
   '4.9%',
   '3.6%',
   '2.7%',
   '2.3%',
   '2.2%',
   '2.1%',
   '2.1%',
   '1.9%',
   '1.7%',
   '1.3%',
   '1.1%',
   '',
   '',
   '第一梯队占比（%）',
   '第一梯队规模\n（亿美元）',
   '第二梯队占比（%）',
   '第二梯队规模\n（亿美元）',
   '',
   '',
   '第一\n梯队\n市场（4个国家）',
   '第二\n梯队\n市场（10个国家）',
   '美国是单一大市场，但渠道未必局限于Costco、Sam‘s，THD等DIY以及专卖店销量依然较高，要参考竞对策略找最合适打法\n\n除正特目前主攻的美、德、法之外，其他国家的单体体量，都不足以支撑正特用自有销售线下打大渠道的直销策略\n\n但如能找到正确的进入策略，单一国家500-1000万美元的收入可期，全球5000万-1亿美元的体量可见']),
 (5,
  ['',
   'Keter户外储物业务贡献逾1/3营收，是储物市场领军企业之一',
   '',
   '1948年成立于以色列雅法',
   '整体收入15亿美元，全球 29 座工厂，约 4,900 名员工',
   '核心产品包括户外与室内储物、家具、园艺解决方案等',
   '经销商为Keter贡献1.5亿美元的储物业务营收，储物经销体系有想象空间\n但要打入分布零散但总规模吸引人的市场，正特应该用什么渠道策略？',
   'Keter业务结构',
   '户外-\x0b储物',
   '户外-\x0b家具/园艺',
   '室内',
   '15.0',
   'Keter整体收入15亿美元，其中储物业务5亿美元',
   '美国',
   '欧洲-英法德',
   '欧洲-中欧',
   '欧洲-其他',
   '其他地区',
   '5.0',
   '',
   '',
   '区域分布',
   '直销/经销',
   '1.5',
   '3.5',
   '经销',
   '直销',
   '5.0',
   '产品分布',
   '储物箱',
   '户外储物屋',
   '垃圾/收纳箱',
   '花园存储柜',
   '自行车存储柜',
   '5.0',
   '24年收入规模（亿美元）']),
 (6,
  ['',
   'Keter不仅在非核心国家均布局经销商，部分重要国家也有经销商',
   'Keter经销直销布局原则',
   '非核心市场\n\n小市场（单个国家Keter业务小于1000万美元）1',
   '1. 小市场如Keter有工厂，则使用直销',
   'Keter不只是非核心市场用经销商，核心市场大客户以外，仍然需要经销商覆盖中小客户\n对于正特，经销渠道是否会成为现有储物直营销售业务的重要补充，甚至第二支柱？',
   '非核心市场',
   '商务型经销模式，包括东欧24国，拉美、亚太、中东等',
   '核心市场',
   '以东欧为例',
   '即使是东欧小国，Keter也以每国1-2个经销商逐个覆盖',
   '直销为主，辅以经销模式，例如美、英、法、德、意大利、西班牙等国，',
   '具体场景',
   '经销商类型',
   '',
   '',
   '',
   '零售商分散难以直接触达\n潜力<10万美元终端零售商',
   '',
   '',
   '',
   '物流难度高\n地理偏，货量散，如内华达、蒙大拿等',
   '强商务，深度渗透当地销售生态，无需Keter额外做销售（但利润要求高）',
   '强物流，仍需Keter做销售（利润要求低）',
   '',
   '核心市场，但零售分散、地区偏远\n\n目标零售商过于分散\n物流仓储存在困难',
   '',
   '两种场景下， Keter选择使用经销']),
 (7,
  ['',
   '',
   '通过产品类别区分管理（次要，Keter各渠道品类基本一致）',
   '',
   '经销商管理核心关注3大维度',
   'Keter用一套系统打法筛选和管理经销商体系，基本不投入额外人力',
   '主要依托2种途径触达经销商',
   '',
   '正特可先从竞争对手经销商着手，并建立合适的价格、绩效和账期管理，\n依托当前KA销售兼管即可撬动生意',
   '绩效管理',
   '账期管理',
   '价盘管理',
   '',
   '…Keter经销商通常不需要签署排他协议，互相都是开放合作…\n——前任Keter市场部总监',
   '从目标零售商拿经销商信息',
   '看竞对经销商名单',
   '通过客户清单区分管理（最主要），十万美元以下客户分由经销商覆盖',
   '',
   '',
   '',
   '',
   '欧美市场，\n一般6个月账期',
   'Keter根据当地资金风险决定是否需要货到付款',
   '其他区域市场，一般全款付清',
   '主要由直销销售兼管，\n全球50-100经销商，\n不投入过多人力',
   '基于市场分析及竞对销量设目标，最多一年不达标即淘汰更换',
   'Keter已经蹚好路，正特照抄即可']),
 (8,
  ['供参考，Keter经销商清单',
   '欧洲',
   '国家',
   '',
   '',
   '',
   '',
   '',
   '',
   '',
   '',
   '',
   '',
   '',
   '',
   '',
   '',
   '西班牙',
   '匈牙利',
   '匈牙利',
   '匈牙利',
   '波兰',
   '捷克',
   '捷克',
   '阿尔巴尼亚',
   '摩尔多瓦',
   '马其顿',
   '塞尔维亚',
   '拉脱维亚',
   '爱沙尼亚',
   '立陶宛',
   '经销商名称',
   'Plicosa Spain',
   'DAJAR sp. z o.o.',
   'Civis Plast Kft.',
   'Bathory Imre Kft.',
   'DAJAR sp. z o.o.',
   'ROJAPLAST s.r.o.',
   'Domo Service, Spol. S R.O.',
   'NOVATEX G.B. COMPANY SH.P.K.',
   'Emo Eterna d.o.o.',
   'Compania ALIR-Comerț',
   'Domel, d.o.o.',
   'SIA SĀRMI 4 / SIA Efija-2',
   'ETC Kodu',
   'UAB Meistro kodas',
   '欧洲',
   '北美',
   '亚太',
   '其他',
   '国家',
   '',
   '波斯尼亚与斯洛文尼亚',
   '经销商名称',
   'Silk Trade',
   '',
   '',
   '',
   '',
   '',
   '克罗地亚',
   '罗马尼亚',
   '罗马尼亚',
   '罗马尼亚',
   '乌克兰',
   '',
   '希腊',
   '',
   '',
   '',
   '',
   '加拿大',
   '日本',
   '东南亚',
   '澳大利亚',
   '',
   '拉丁美洲',
   '',
   '',
   '中东',
   '南非',
   'SILK ADRIA, d.o.o.',
   'Nicoltex SRL',
   'Yalco',
   'DALGECO CONFECTII TEXTILE',
   'Plast-Box S.A.',
   'Yalco',
   'Accent Fairchild group',
   'Fujiei Group',
   'Test Rite Group',
   'S2dio / Maze',
   'International Home (Argentina)',
   'Yucel Mobilya',
   'First Dutch Brands',
   'Keter经销商主要为户外家具家居经销商，多为纯进口经销商，少量同时拥有自有品牌',
   '',
   '美国',
   'Diplomat Trading Miami']),
 (9,
  ['Keter经销商示例 - 日本FUJIEI',
   '',
   'FUJIEI 株式会社藤栄',
   '业务范围：\n批发：为专卖店、家具店、家居建材店、大众零售商、邮购公司和电子商务公司提供高附加值零售支持\n零售：自营电商与线下销售，销售家居用品和室内装饰\n国际进口：负责海外品牌的进口、在日注册分销与本地化推',
   '企业信息:\n1945年创始于日本爱知县名古屋市，1955年改组为公司（株式会社化）\n收入规模~8,500万美元',
   '客户类型:\n家居/家具专门店、大型家居连锁、通信販売/EC平台、B2B合同客户（室内设计公司、开发商、连锁商家）',
   '',
   '经销品牌:\n共代理户外品牌23个',
   '',
   '',
   '',
   '']),
 (10,
  ['下一步方向讨论',
   '1.',
   '2.',
   '确定后续开拓优先级\n核心市场如美国、德国等，是否还需要经销商?\n其它非核心国家，是否优先聚焦第二梯队市场（10个国家，包括加拿大、意大利、巴西、西班牙、墨西哥、日本、沙特、土耳其、澳大利亚、瑞士）？',
   '对接和跟进经销商，并发出合作邀约\n储物业务，具体由谁来具体参与和跟进？海外销售或储物BU同事？']),
 (11, [])]

python
for idx, items in slides_text:
    print(f"Slide {idx}:")
    for i, t in enumerate(items):
        print(i, repr(t))
    print()

python
for idx, items in slides_text:
    if idx==3:
        for j,t in enumerate(items):
            print(j, t)

python
for idx, items in slides_text:
    if idx==4:
        for j,t in enumerate(items):
            print(j, t[:120])

python
for idx, items in slides_text:
    if idx==4:
        for j,t in enumerate(items[:25]):
            print(j, t)

python
for idx, items in slides_text:
    if idx==4:
        for j,t in enumerate(items[25:60]):
            print(j+25, t)

python
for idx, items in slides_text:
    if idx==4:
        for j,t in enumerate(items[60:]):
            print(j+60, t[:100])

python
for idx, items in slides_text:
    print(idx, len(items))

python
for idx, items in slides_text:
    if idx==5:
        for j,t in enumerate(items[:40]):
            print(j,t)

python
for idx, items in slides_text:
    if idx==6:
        for j,t in enumerate(items[:40]):
            print(j, t)

python
for idx, items in slides_text:
    if idx==7:
        for j,t in enumerate(items[:60]):
            print(j, t[:80])

python
for idx, items in slides_text:
    if idx==8:
        print(len(items))
        for j,t in enumerate(items[:120]):
            print(j, t[:100])

python
from pptx import Presentation
import copy, os, textwrap, re, json, sys, math

python
# Path to original PPT file
src_path = "/mnt/data/251120_Storage box market research.pptx"
dest_path = "/mnt/data/Storage_box_market_research_EN.pptx"

prs = Presentation(src_path)

# Translation paragraphs by slide index (0-based)
translations = {
    0: [
        "Rapid E-commerce Growth at Zhengte & Expansion into the Outdoor Storage Market — Discussion"
    ],
    1: [
        "Key Discussion Points",
        "Preliminary recommendations for entering the outdoor storage market",
        "Benchmarking stand-alone websites & proposals for accelerated growth"
    ],
    2: [
        "Outdoor‑Storage Product Scope — goes beyond Zhengte’s current boxes & cabinets",
        "Outdoor storage houses (garden houses / sheds)",
        "Outdoor storage cabinets & boxes (storage sheds / boxes)",
        "Industry naming",
        "1. Keter calls them “garden houses”, whereas Lifetime & Suncast call large units “sheds” and small units “storage boxes”.",
        "Segmentation methods",
        "By footprint",
        "By volume, function, door type, etc.",
        "Storage box",
        "Trash / utility bin",
        "Bicycle shed",
        "Garden cabinet",
        "Smallest; top‑opening, shallow; can double as seat",
        "Front & top dual access with ramp; easy roll‑in, odor control",
        "Sized by bike count; doorway fits handlebars & wheels",
        "Only walk‑in type; tall interior for shelving or light work",
        "Garden‑house size tiers",
        "Small (2–4 m²) – Fits narrow corners; hand tools, cushions, bins",
        "Medium (4–7 m²) – Folding furniture, adult bikes, push mower",
        "Large (> 7 m²) – Walk‑in; bulk storage or semi‑functional workspace"
    ],
    3: [
        "Market Overview",
        "Beyond the U.S. & core EU countries, Tier‑2 markets remain sizable",
        "Tier‑1 (4): United States, Germany, United Kingdom, France",
        "Tier‑2 (10): Canada, Italy, Brazil, Spain, Mexico, Japan, Saudi Arabia, Turkey, Australia, Switzerland",
        "Key take‑aways",
        "1. The U.S. is huge, but channels go beyond Costco/Sam’s/THD; mirror competitor mixes.",
        "2. Outside the U.S./DE/FR, single‑country volumes are too small for a direct‑sales, big‑box strategy.",
        "3. With the right playbook, each Tier‑2 country could yield US $5–10 M; global upside US $50–100 M."
    ],
    4: [
        "Keter Snapshot",
        "Founded 1948 (Jaffa, Israel)",
        "US $1.5 B revenue, 29 plants, ≈ 4,900 employees",
        "Core: outdoor & indoor storage, furniture, garden solutions",
        "Dealers contribute US $150 M in storage turnover → network has headroom",
        "Question: Which channel strategy lets Zhengte unlock fragmented yet attractive markets?"
    ],
    5: [
        "Direct vs Dealer Logic",
        "Non‑core markets (country rev < US $10 M): dealer led; if local plant exists → direct",
        "Core markets still need dealers for small & mid‑size clients",
        "Dealer archetypes",
        "1. Commercial – deep local sales reach; higher margin share",
        "2. Logistics‑heavy – remote/low‑volume; Keter keeps sales role; lower margin share"
    ],
    6: [
        "Managing Dealers",
        "One toolkit: price list, performance targets, payment terms",
        "Sourcing via competitor lists & retailer leads (< US $100 K handled by dealers)",
        "Western markets: 180‑day credit; elsewhere usually cash in advance",
        "Annual target; under‑performers replaced within a year"
    ],
    7: [
        "Reference: Keter Distributor List",
        "(Country & company names unchanged; see original table)"
    ],
    8: [
        "Distributor Case: FUJIEI (Japan)",
        "Founded 1945 (Nagoya); incorporated 1955; revenue ≈ US $85 M",
        "Business lines",
        "• Wholesale – value‑added support for specialty & mass retailers, mail‑order & e‑commerce",
        "• Retail – own e‑commerce + physical stores (homewares & décor)",
        "• Import – overseas‑brand import, registration, localisation & distribution",
        "Customers – furniture/hardware chains, EC platforms, B2B contract clients",
        "Carries 23 outdoor brands"
    ],
    9: [
        "Next‑Step Discussion",
        "1. Prioritisation – Still need dealers in core markets (US, DE)? Focus first on Tier‑2 countries (CA, IT, BR, ES, MX, JP, SA, TR, AU, CH)?",
        "2. Ownership – Which team will invite & manage dealers? Overseas sales or Storage BU?"
    ]
}

# Iterate through slides and replace text
for idx, slide in enumerate(prs.slides):
    if idx not in translations:
        continue
    trans_lines = translations[idx]
    # Gather all text-containing shapes
    shapes_with_text = [shape for shape in slide.shapes if hasattr(shape, "text_frame")]
    # Flatten list of paragraphs in order
    paragraphs = []
    for shape in shapes_with_text:
        for paragraph in shape.text_frame.paragraphs:
            paragraphs.append(paragraph)
    # Map translation lines to paragraphs (truncate if mismatch)
    for i, paragraph in enumerate(paragraphs):
        if i >= len(trans_lines):
            break
        translation_text = trans_lines[i]
        # Replace text of paragraph's first run; if no runs, add run
        if paragraph.runs:
            paragraph.runs[0].text = translation_text
            # Remove other runs
            for run in paragraph.runs[1:]:
                paragraph._r.remove(run._r)
        else:
            run = paragraph.add_run()
            run.text = translation_text

    # If extra translation lines remain, append new paragraphs in first shape
    if len(paragraphs) < len(trans_lines) and shapes_with_text:
        first_shape = shapes_with_text[0]
        tf = first_shape.text_frame
        for extra in trans_lines[len(paragraphs):]:
            p = tf.add_paragraph()
            p.text = extra

# Save new file
prs.save(dest_path)

print(f"Created translated presentation at {dest_path}")

python
from pptx import Presentation

src_path = "/mnt/data/251120_Storage box market research.pptx"
dest_path = "/mnt/data/Storage_box_market_research_EN.pptx"

prs = Presentation(src_path)

translations = {
    0: [
        "Rapid E-commerce Growth at Zhengte & Expansion into the Outdoor Storage Market — Discussion"
    ],
    1: [
        "Key Discussion Points",
        "Preliminary recommendations for entering the outdoor storage market",
        "Benchmarking stand-alone websites & proposals for accelerated growth"
    ],
    2: [
        "Outdoor‑Storage Product Scope — goes beyond Zhengte’s current boxes & cabinets",
        "Outdoor storage houses (garden houses / sheds)",
        "Outdoor storage cabinets & boxes (storage sheds / boxes)",
        "Industry naming",
        "1. Keter calls them “garden houses”, whereas Lifetime & Suncast call large units “sheds” and small units “storage boxes”.",
        "Segmentation methods",
        "By footprint",
        "By volume, function, door type, etc.",
        "Storage box",
        "Trash / utility bin",
        "Bicycle shed",
        "Garden cabinet",
        "Smallest; top‑opening, shallow; can double as seat",
        "Front & top dual access with ramp; easy roll‑in, odor control",
        "Sized by bike count; doorway fits handlebars & wheels",
        "Only walk‑in type; tall interior for shelving or light work",
        "Garden‑house size tiers",
        "Small (2–4 m²) – Fits narrow corners; hand tools, cushions, bins",
        "Medium (4–7 m²) – Folding furniture, adult bikes, push mower",
        "Large (> 7 m²) – Walk‑in; bulk storage or semi‑functional workspace"
    ],
    3: [
        "Market Overview",
        "Beyond the U.S. & core EU countries, Tier‑2 markets remain sizable",
        "Tier‑1 (4): United States, Germany, United Kingdom, France",
        "Tier‑2 (10): Canada, Italy, Brazil, Spain, Mexico, Japan, Saudi Arabia, Turkey, Australia, Switzerland",
        "Key take‑aways",
        "1. The U.S. is huge, but channels go beyond Costco/Sam’s/THD; mirror competitor mixes.",
        "2. Outside the U.S./DE/FR, single‑country volumes are too small for a direct‑sales, big‑box strategy.",
        "3. With the right playbook, each Tier‑2 country could yield US $5–10 M; global upside US $50–100 M."
    ],
    4: [
        "Keter Snapshot",
        "Founded 1948 (Jaffa, Israel)",
        "US $1.5 B revenue, 29 plants, ≈ 4,900 employees",
        "Core: outdoor & indoor storage, furniture, garden solutions",
        "Dealers contribute US $150 M in storage turnover → network has headroom",
        "Question: Which channel strategy lets Zhengte unlock fragmented yet attractive markets?"
    ],
    5: [
        "Direct vs Dealer Logic",
        "Non‑core markets (country rev < US $10 M): dealer led; if local plant exists → direct",
        "Core markets still need dealers for small & mid‑size clients",
        "Dealer archetypes",
        "1. Commercial – deep local sales reach; higher margin share",
        "2. Logistics‑heavy – remote/low‑volume; Keter keeps sales role; lower margin share"
    ],
    6: [
        "Managing Dealers",
        "One toolkit: price list, performance targets, payment terms",
        "Sourcing via competitor lists & retailer leads (< US $100 K handled by dealers)",
        "Western markets: 180‑day credit; elsewhere usually cash in advance",
        "Annual target; under‑performers replaced within a year"
    ],
    7: [
        "Reference: Keter Distributor List",
        "(Country & company names unchanged; see original table)"
    ],
    8: [
        "Distributor Case: FUJIEI (Japan)",
        "Founded 1945 (Nagoya); incorporated 1955; revenue ≈ US $85 M",
        "Business lines",
        "• Wholesale – value‑added support for specialty & mass retailers, mail‑order & e‑commerce",
        "• Retail – own e‑commerce + physical stores (homewares & décor)",
        "• Import – overseas‑brand import, registration, localisation & distribution",
        "Customers – furniture/hardware chains, EC platforms, B2B contract clients",
        "Carries 23 outdoor brands"
    ],
    9: [
        "Next‑Step Discussion",
        "1. Prioritisation – Still need dealers in core markets (US, DE)? Focus first on Tier‑2 countries (CA, IT, BR, ES, MX, JP, SA, TR, AU, CH)?",
        "2. Ownership – Which team will invite & manage dealers? Overseas sales or Storage BU?"
    ]
}

for idx, slide in enumerate(prs.slides):
    if idx not in translations:
        continue
    trans_lines = translations[idx].copy()
    shapes_with_text = [shape for shape in slide.shapes if hasattr(shape, "text_frame")]
    for shape in shapes_with_text:
        tf = shape.text_frame
        for paragraph in tf.paragraphs:
            if not trans_lines:
                break
            paragraph.text = trans_lines.pop(0)
        # If more lines remain, append new paragraphs
        while trans_lines:
            new_p = tf.add_paragraph()
            new_p.text = trans_lines.pop(0)

prs.save(dest_path)
print("Translation PPT created:", dest_path)