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kdusek
2025-12-09 12:13:01 +01:00
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edgartools API documentation is at https://edgartools.readthedocs.io/en/stable/api/company/ and you need to use it if in trouble with queries.
Always check code with pyright.

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[
{
"report_period": "2025-03-31",
"company_name": "BERKSHIRE HATHAWAY INC",
"top_holdings": [
"Long: NUCOR CORP: $692.7M (5756510 shares, Shares)",
"Long: LENNAR CORP: $221.5M (1929972 shares, Shares)",
"Long: D R HORTON INC: $192.3M (1512371 shares, Shares)",
"Long: LENNAR CORP: $0.0M (202 shares, Shares)"
]
},
{
"report_period": "2025-06-30",
"company_name": "BERKSHIRE HATHAWAY INC",
"top_holdings": [
"Long: AMERICAN EXPRESS CO: $47547.5M (149061045 shares, Shares)",
"Long: APPLE INC: $27235.7M (132747012 shares, Shares)",
"Long: COCA COLA CO: $20002.6M (282722729 shares, Shares)",
"Long: BANK AMER CORP: $14707.1M (310800000 shares, Shares)",
"Long: APPLE INC: $12626.8M (61542988 shares, Shares)",
"Long: OCCIDENTAL PETE CORP: $11130.2M (264941431 shares, Shares)",
"Long: CHEVRON CORP NEW: $8817.6M (61579525 shares, Shares)",
"Long: KRAFT HEINZ CO: $8407.9M (325634818 shares, Shares)",
"Long: CHUBB LIMITED: $7832.2M (27033784 shares, Shares)",
"Long: APPLE INC: $7124.3M (34724000 shares, Shares)"
]
},
{
"report_period": "2025-03-31",
"company_name": "BERKSHIRE HATHAWAY INC",
"top_holdings": [
"Long: AMERICAN EXPRESS CO: $40104.9M (149061045 shares, Shares)",
"Long: APPLE INC: $33929.7M (152747012 shares, Shares)",
"Long: COCA COLA CO: $20248.6M (282722729 shares, Shares)",
"Long: APPLE INC: $13670.5M (61542988 shares, Shares)",
"Long: OCCIDENTAL PETE CORP: $13077.5M (264941431 shares, Shares)",
"Long: BANK AMER CORP: $12969.7M (310800000 shares, Shares)",
"Long: CHEVRON CORP NEW: $10301.6M (61579525 shares, Shares)",
"Long: KRAFT HEINZ CO: $9909.1M (325634818 shares, Shares)",
"Long: CHUBB LIMITED: $8163.9M (27033784 shares, Shares)",
"Long: APPLE INC: $7713.2M (34724000 shares, Shares)"
]
},
{
"report_period": "2024-12-31",
"company_name": "BERKSHIRE HATHAWAY INC",
"top_holdings": [
"Long: AMERICAN EXPRESS CO: $44239.8M (149061045 shares, Shares)",
"Long: APPLE INC: $38250.9M (152747012 shares, Shares)",
"Long: COCA COLA CO: $17602.3M (282722729 shares, Shares)",
"Long: APPLE INC: $15411.6M (61542988 shares, Shares)",
"Long: BANK AMER CORP: $13659.7M (310800000 shares, Shares)",
"Long: OCCIDENTAL PETE CORP: $13053.1M (264178414 shares, Shares)",
"Long: KRAFT HEINZ CO: $10000.2M (325634818 shares, Shares)",
"Long: CHEVRON CORP NEW: $8919.2M (61579525 shares, Shares)",
"Long: APPLE INC: $8695.6M (34724000 shares, Shares)",
"Long: CHUBB LIMITED: $7469.4M (27033784 shares, Shares)"
]
}
]

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[
{
"report_period": "2024-06-30",
"company_name": "BlackRock Finance, Inc.",
"top_holdings": [
"Long: MICROSOFT CORP: $87251.1M (195214459 shares, Shares)",
"Long: NVIDIA CORPORATION: $81016.4M (655790813 shares, Shares)",
"Long: APPLE INC: $78699.5M (373656459 shares, Shares)",
"Long: MICROSOFT CORP: $72268.9M (161693475 shares, Shares)",
"Long: APPLE INC: $66430.0M (315401996 shares, Shares)",
"Long: NVIDIA CORPORATION: $65806.5M (532673726 shares, Shares)",
"Long: AMAZON COM INC: $40370.4M (208902342 shares, Shares)",
"Long: AMAZON COM INC: $39023.9M (201934858 shares, Shares)",
"Long: META PLATFORMS INC: $29031.1M (57576247 shares, Shares)",
"Long: ALPHABET INC: $26620.2M (146144398 shares, Shares)",
"Short: ISHARES TR: $736.5M (9547900 shares)",
"Short: ISHARES TR: $116.6M (213100 shares)",
"Short: NVIDIA CORPORATION: $113.8M (921000 shares)",
"Short: ISHARES TR: $84.4M (416200 shares)",
"Short: NVIDIA CORPORATION: $66.0M (534000 shares)",
"Short: INVESCO QQQ TR: $60.6M (126400 shares)",
"Short: ISHARES TR: $54.9M (711600 shares)",
"Short: MERCK & CO INC: $42.2M (340800 shares)",
"Short: MERCK & CO INC: $24.6M (198400 shares)",
"Short: NVIDIA CORPORATION: $20.1M (163000 shares)"
]
},
{
"report_period": "2024-03-31",
"company_name": "BlackRock Finance, Inc.",
"top_holdings": [
"Long: MICROSOFT CORP: $80132.8M (190465867 shares, Shares)",
"Long: MICROSOFT CORP: $68370.9M (162509177 shares, Shares)",
"Long: APPLE INC: $62568.0M (364870774 shares, Shares)",
"Long: NVIDIA CORPORATION: $58661.7M (64922913 shares, Shares)",
"Long: APPLE INC: $54596.5M (318384257 shares, Shares)",
"Long: NVIDIA CORPORATION: $48540.8M (53721715 shares, Shares)",
"Long: AMAZON COM INC: $37386.3M (207264146 shares, Shares)",
"Long: AMAZON COM INC: $36208.6M (200734971 shares, Shares)",
"Long: META PLATFORMS INC: $27196.3M (56007806 shares, Shares)",
"Long: META PLATFORMS INC: $23563.0M (48525441 shares, Shares)",
"Short: SPDR S&P 500 ETF TR: $2028.1M (3877300 shares)",
"Short: SPDR S&P 500 ETF TR: $795.3M (1520400 shares)",
"Short: SPDR S&P 500 ETF TR: $201.3M (384900 shares)",
"Short: INVESCO QQQ TR: $190.9M (430000 shares)",
"Short: ISHARES TR: $124.6M (592600 shares)",
"Short: ISHARES TR: $123.6M (1590000 shares)",
"Short: TAIWAN SEMICONDUCTOR MFG LTD: $106.9M (785500 shares)",
"Short: SPDR S&P 500 ETF TR: $104.6M (200000 shares)",
"Short: TESLA INC: $95.8M (544800 shares)",
"Short: SPDR S&P 500 ETF TR: $95.5M (182600 shares)"
]
},
{
"report_period": "2023-12-31",
"company_name": "BlackRock Finance, Inc.",
"top_holdings": [
"Long: MICROSOFT CORP: $70005.9M (186166108 shares, Shares)",
"Long: APPLE INC: $68877.5M (357749275 shares, Shares)",
"Long: APPLE INC: $62067.5M (322378274 shares, Shares)",
"Long: MICROSOFT CORP: $61148.3M (162611241 shares, Shares)",
"Long: NVIDIA CORPORATION: $30861.8M (62319318 shares, Shares)",
"Long: AMAZON COM INC: $30629.2M (201587355 shares, Shares)",
"Long: AMAZON COM INC: $30399.2M (200073850 shares, Shares)",
"Long: NVIDIA CORPORATION: $26682.8M (53880647 shares, Shares)",
"Long: ALPHABET INC: $19880.3M (142317072 shares, Shares)",
"Long: META PLATFORMS INC: $19513.3M (55128682 shares, Shares)",
"Short: SPDR S&P 500 ETF TR: $794.1M (1670600 shares)",
"Short: ISHARES TR: $673.1M (6082700 shares)",
"Short: ISHARES TR: $498.1M (6436300 shares)",
"Short: SPDR S&P 500 ETF TR: $105.0M (221000 shares)",
"Short: TAIWAN SEMICONDUCTOR MFG LTD: $81.7M (785500 shares)",
"Short: ISHARES TR: $77.4M (1000000 shares)",
"Short: ISHARES TR: $74.6M (673800 shares)",
"Short: ISHARES TR: $72.5M (361200 shares)",
"Short: SPDR S&P 500 ETF TR: $48.6M (102300 shares)",
"Short: ISHARES TR: $42.8M (552600 shares)"
]
}
]

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{
"company_name": "DUGGAN ROBERT W",
"all_insiders": [],
"found_transactions": []
}

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[
{
"report_period": "2025-09-30",
"company_name": "Scion Asset Management, LLC",
"top_holdings": [
"Long: PFIZER INC: $152.9M (6000000 shares, Call)",
"Long: HALLIBURTON CO: $61.5M (2500000 shares, Call)",
"Long: MOLINA HEALTHCARE INC: $23.9M (125000 shares, Shares)",
"Long: LULULEMON ATHLETICA INC: $17.8M (100000 shares, Shares)",
"Long: SLM CORP: $13.3M (480054 shares, Shares)",
"Long: BRUKER CORP: $13.1M (48334 shares, Shares)",
"Short: PALANTIR TECHNOLOGIES INC: $912.1M (5000000 shares)",
"Short: NVIDIA CORPORATION: $186.6M (1000000 shares)"
]
},
{
"report_period": "2025-06-30",
"company_name": "Scion Asset Management, LLC",
"top_holdings": [
"Long: UNITEDHEALTH GROUP INC: $109.2M (350000 shares, Call)",
"Long: REGENERON PHARMACEUTICALS: $105.0M (200000 shares, Call)",
"Long: LULULEMON ATHLETICA INC: $95.0M (400000 shares, Call)",
"Long: META PLATFORMS INC: $73.8M (100000 shares, Call)",
"Long: LAUDER ESTEE COS INC: $40.4M (500000 shares, Call)",
"Long: JD.COM INC: $32.6M (1000000 shares, Call)",
"Long: ALIBABA GROUP HLDG LTD: $28.4M (250000 shares, Call)",
"Long: ASML HOLDING N V: $20.0M (25000 shares, Call)",
"Long: V F CORP: $17.6M (1500000 shares, Call)",
"Long: LAUDER ESTEE COS INC: $12.1M (150000 shares, Shares)"
]
},
{
"report_period": "2025-03-31",
"company_name": "Scion Asset Management, LLC",
"top_holdings": [
"Long: LAUDER ESTEE COS INC: $13.2M (200000 shares, Shares)",
"Short: NVIDIA CORPORATION: $97.5M (900000 shares)",
"Short: ALIBABA GROUP HLDG LTD: $26.4M (200000 shares)",
"Short: PDD HOLDINGS INC: $23.7M (200000 shares)",
"Short: JD.COM INC: $16.4M (400000 shares)",
"Short: TRIP COM GROUP LTD: $12.7M (200000 shares)",
"Short: BAIDU INC: $9.2M (100000 shares)"
]
},
{
"report_period": "2024-12-31",
"company_name": "Scion Asset Management, LLC",
"top_holdings": [
"Long: ALIBABA GROUP HLDG LTD: $12.7M (150000 shares, Shares)",
"Long: BAIDU INC: $10.5M (125000 shares, Shares)",
"Long: JD.COM INC: $10.4M (300000 shares, Shares)",
"Long: LAUDER ESTEE COS INC: $7.5M (100000 shares, Shares)",
"Long: MOLINA HEALTHCARE INC: $7.3M (25000 shares, Shares)",
"Long: PDD HOLDINGS INC: $7.3M (75000 shares, Shares)",
"Long: HCA HEALTHCARE INC: $4.5M (15000 shares, Shares)",
"Long: BRUKER CORP: $4.4M (75000 shares, Shares)",
"Long: V F CORP: $4.3M (200000 shares, Shares)",
"Long: MAGNERA CORP: $3.6M (200000 shares, Shares)"
]
}
]

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[
{
"report_period": "2025-06-30",
"company_name": "ARK Investment Management LLC",
"top_holdings": [
"Long: Tesla Inc: $977.6M (3077464 shares, Shares)",
"Long: Coinbase Global Inc: $919.4M (2623150 shares, Shares)",
"Long: Roku Inc: $743.6M (8460078 shares, Shares)",
"Long: Robinhood Markets Inc: $729.0M (7785864 shares, Shares)",
"Long: ROBLOX Corp: $712.1M (6769298 shares, Shares)",
"Long: Shopify Inc: $582.5M (5049508 shares, Shares)",
"Long: Palantir Technologies Inc: $555.7M (4076266 shares, Shares)",
"Long: Circle Internet Group Inc: $530.2M (2924403 shares, Shares)",
"Long: CRISPR Therapeutics AG: $495.3M (10182590 shares, Shares)",
"Long: Tempus AI Inc: $471.6M (7421770 shares, Shares)"
]
},
{
"report_period": "2025-03-31",
"company_name": "ARK Investment Management LLC",
"top_holdings": [
"Long: Tesla Inc: $844.5M (3258758 shares, Shares)",
"Long: Roku Inc: $608.7M (8642048 shares, Shares)",
"Long: Palantir Technologies Inc: $530.5M (6285179 shares, Shares)",
"Long: ROBLOX Corp: $528.8M (9071978 shares, Shares)",
"Long: Coinbase Global Inc: $528.6M (3069107 shares, Shares)",
"Long: Robinhood Markets Inc: $426.5M (10248659 shares, Shares)",
"Long: Shopify Inc: $424.3M (4444225 shares, Shares)",
"Long: Tempus AI Inc: $361.9M (7501399 shares, Shares)",
"Long: CRISPR Therapeutics AG: $345.9M (10165400 shares, Shares)",
"Long: Twist Bioscience Corp: $245.0M (6241595 shares, Shares)"
]
},
{
"report_period": "2024-12-31",
"company_name": "ARK Investment Management LLC",
"top_holdings": [
"Long: Tesla Inc: $1327.6M (3287352 shares, Shares)",
"Long: Roku Inc: $793.4M (10671956 shares, Shares)",
"Long: Coinbase Global Inc: $753.5M (3034645 shares, Shares)",
"Long: Palantir Technologies Inc: $589.4M (7793443 shares, Shares)",
"Long: ROBLOX Corp: $586.8M (10142551 shares, Shares)",
"Long: Robinhood Markets Inc: $480.9M (12907172 shares, Shares)",
"Long: Shopify Inc: $479.0M (4505024 shares, Shares)",
"Long: Block Inc: $418.8M (4927919 shares, Shares)",
"Long: CRISPR Therapeutics AG: $353.2M (8973064 shares, Shares)",
"Long: Archer Aviation Inc: $291.6M (29912089 shares, Shares)"
]
},
{
"report_period": "2024-09-30",
"company_name": "ARK Investment Management LLC",
"top_holdings": [
"Long: Tesla Inc: $1200.6M (4588781 shares, Shares)",
"Long: Roku Inc: $837.8M (11222047 shares, Shares)",
"Long: Coinbase Global Inc: $577.5M (3241198 shares, Shares)",
"Long: ROBLOX Corp: $524.1M (11841410 shares, Shares)",
"Long: Block Inc: $444.8M (6625470 shares, Shares)",
"Long: Robinhood Markets Inc: $421.0M (17974345 shares, Shares)",
"Long: Palantir Technologies Inc: $409.9M (11017774 shares, Shares)",
"Long: Shopify Inc: $374.3M (4670904 shares, Shares)",
"Long: CRISPR Therapeutics AG: $352.3M (7498625 shares, Shares)",
"Long: UiPath Inc: $268.2M (20949802 shares, Shares)"
]
}
]

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#!/usr/bin/env python3
import os
import sys
import subprocess
import matplotlib.pyplot as plt
# Check if virtual environment is activated
if not os.environ.get('VIRTUAL_ENV'):
print("Virtual environment is not activated.")
print("To activate: . venv/bin/activate")
print("Then run: python chart_generator.py <TICKER>")
exit(1)
import pandas as pd
from edgar import Company, set_identity, set_local_storage_path, use_local_storage, XBRL
from bs4 import BeautifulSoup
import re
# Set your identity (required by SEC)
set_identity("your.email@example.com")
# Enable local storage for caching filings
LOCAL_STORAGE_PATH = os.path.abspath("./edgar_cache")
os.makedirs(LOCAL_STORAGE_PATH, exist_ok=True)
use_local_storage(LOCAL_STORAGE_PATH)
def show_image(image_path):
viewers = ['eog', 'feh', 'gthumb', 'gwenview', 'shotwell', 'display'] # Common Linux image viewers
for viewer in viewers:
if subprocess.run(['which', viewer], capture_output=True).returncode == 0:
try:
subprocess.run([viewer, image_path])
print(f"Displayed chart with {viewer}")
return
except Exception as e:
print(f"Failed to open with {viewer}: {e}")
print("No suitable image viewer found. Chart saved but not displayed.")
def parse_20f_html(html_content, year):
soup = BeautifulSoup(html_content, 'html.parser')
text = soup.get_text().lower()
rev = gp = ni = None
# Use regex to find patterns like "net revenue" followed by large number
rev_match = re.search(r'net revenue.*?(\d{4,}(?:,\d{3})*(?:\.\d+)?)', text)
if rev_match:
rev = float(rev_match.group(1).replace(',', ''))
gp_match = re.search(r'gross profit.*?(\d{4,}(?:,\d{3})*(?:\.\d+)?)', text)
if gp_match:
gp = float(gp_match.group(1).replace(',', ''))
ni_match = re.search(r'net income.*?(\d{4,}(?:,\d{3})*(?:\.\d+)?)', text)
if ni_match:
ni = float(ni_match.group(1).replace(',', ''))
return rev, gp, ni
def extract_number(text):
# Extract number from text, handle commas, parentheses for negative
text = re.sub(r'[^\d,.\-\(\)]', '', text)
if '(' in text and ')' in text:
text = '-' + text.replace('(', '').replace(')', '')
text = text.replace(',', '')
try:
return float(text)
except:
return None
def generate_charts(ticker):
print(f"Generating charts for {ticker}...")
company = Company(ticker)
if company.not_found:
print(f"Company {ticker} not found.")
return
# Get last 20 10-Q filings for quarterly data
filings_10q = company.get_filings(form="10-Q", amendments=False).head(20)
# Get last 5 10-K filings for yearly data
filings_10k = company.get_filings(form="10-K", amendments=False).head(5)
if not filings_10q:
print("No 10-Q filings found.")
return
if not filings_10k:
print("No 10-K filings found.")
return
# Collect data from each filing
rev_dict_quarterly = {}
gp_dict_quarterly = {}
ni_dict_quarterly = {}
rev_dict_yearly = {}
gp_dict_yearly = {}
ni_dict_yearly = {}
for filing in filings_10q:
print(f"Processing filing {filing.accession_number} from {filing.filing_date}")
try:
df = None
xbrl = XBRL.from_filing(filing)
if not xbrl:
print(" No XBRL found")
continue
data = xbrl.to_pandas()
df = data['facts']
print(f"df columns: {list(df.columns)}")
print(f" Available elements: {sorted([e for e in df['element_id'].unique() if 'profit' in e.lower() or 'revenue' in e.lower() or 'income' in e.lower()])}")
print(f" Gross elements: {sorted([e for e in df['element_id'].unique() if 'Gross' in e])}")
print(f" Cost elements: {sorted([e for e in df['element_id'].unique() if 'Cost' in e])}")
# Extract metrics for this filing's period
# Try multiple possible revenue elements
revenue_elements = ['us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax', 'us-gaap:Revenues', 'us-gaap:SalesRevenueNet']
revenues = pd.DataFrame()
for elem in revenue_elements:
temp = df[df['element_id'] == elem]
if not temp.empty:
revenues = temp
print(f" Found revenue element: {elem}")
break
rev_val = gp_val = ni_val = year = period_end = quarter_key = None
if len(revenues) > 0:
period_end = revenues['period_end'].max() # type: ignore
quarter_key = pd.to_datetime(period_end).to_period('Q').strftime('%Y-Q%q')
rev_val = pd.to_numeric(revenues['value'], errors='coerce').max() # type: ignore
print(f" Revenue for {quarter_key}: {rev_val}")
# Try multiple possible gross profit elements, using same period
gp_elements = ['us-gaap:GrossProfit', 'us-gaap:GrossMargin']
gross_profits = pd.DataFrame()
if period_end:
for elem in gp_elements:
temp = df[(df['element_id'].str.contains(elem.split(':')[1])) & (df['period_end'] == period_end)]
print(f" Checking {elem} for period {period_end}: {temp.shape}")
if not temp.empty:
gross_profits = temp
print(f" Found gross profit element: {elem}")
break
else:
for elem in gp_elements:
temp = df[df['element_id'].str.contains(elem.split(':')[1])]
print(f" Checking {elem}: {temp.shape}")
if not temp.empty:
gross_profits = temp
print(f" Found gross profit element: {elem}")
break
# If no direct GP found, try calculating from Revenue - COGS
if gross_profits.empty and period_end and rev_val:
cogs = df[(df['element_id'] == 'us-gaap:CostOfGoodsAndServicesSold') & (df['period_end'] == period_end)]
if not cogs.empty:
cogs_val = pd.to_numeric(cogs['value'], errors='coerce').max()
if cogs_val:
gp_val = rev_val - cogs_val
print(f" Calculated Gross Profit from Revenue - COGS: {gp_val}")
# Set a dummy gross_profits to indicate found
gross_profits = cogs # not used further, just for flag
net_incomes = pd.DataFrame()
if period_end:
net_incomes = df[(df['element_id'] == 'us-gaap:NetIncomeLoss') & (df['period_end'] == period_end)]
else:
net_incomes = df[df['element_id'] == 'us-gaap:NetIncomeLoss']
print(f" Revenues found: {not revenues.empty}, Gross Profit: {not gross_profits.empty}, Net Income: {not net_incomes.empty}")
if not gross_profits.empty:
if gp_val is None:
gp_val = pd.to_numeric(gross_profits['value'], errors='coerce').sum()
print(f" Gross Profit for {quarter_key}: {gp_val}")
elif 'gp_val' in locals():
print(f" Gross Profit for {quarter_key}: {gp_val}")
else:
print(f" Gross Profit not found for {quarter_key}")
if not net_incomes.empty:
ni_val = pd.to_numeric(net_incomes['value'], errors='coerce').max()
print(f" Net Income for {quarter_key}: {ni_val}")
else:
# Parse 20-F HTML
html_content = filing.text()
# Assume year from filing_date
year = pd.to_datetime(filing.filing_date).year - 1 # Filing in next year
rev_val, gp_val, ni_val = parse_20f_html(html_content, year)
print(f" Parsed 20-F: Rev {rev_val}, GP {gp_val}, NI {ni_val} for {year}")
if quarter_key and rev_val is not None:
rev_dict_quarterly[quarter_key] = rev_val
if quarter_key and gp_val is not None:
gp_dict_quarterly[quarter_key] = gp_val
if quarter_key and ni_val is not None:
ni_dict_quarterly[quarter_key] = ni_val
except Exception as e:
print(f"Error processing filing {filing.accession_number}: {e}")
continue
# Process 10-K filings for yearly data
for filing in filings_10k:
print(f"Processing filing {filing.accession_number} from {filing.filing_date}")
try:
xbrl = XBRL.from_filing(filing)
if not xbrl:
print(" No XBRL found")
continue
data = xbrl.to_pandas()
df = data['facts']
print(f"df columns: {list(df.columns)}")
print(f" Available elements: {sorted([e for e in df['element_id'].unique() if 'profit' in e.lower() or 'revenue' in e.lower() or 'income' in e.lower()])}")
print(f" Gross elements: {sorted([e for e in df['element_id'].unique() if 'Gross' in e])}")
print(f" Cost elements: {sorted([e for e in df['element_id'].unique() if 'Cost' in e])}")
# Extract metrics for this filing's period
# Try multiple possible revenue elements
revenue_elements = ['us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax', 'us-gaap:Revenues', 'us-gaap:SalesRevenueNet']
revenues = pd.DataFrame()
for elem in revenue_elements:
temp = df[df['element_id'] == elem]
if not temp.empty:
revenues = temp
print(f" Found revenue element: {elem}")
break
rev_val = gp_val = ni_val = year = period_end = year_key = None
if not revenues.empty:
period_end = revenues['period_end'].max()
year_key = str(pd.to_datetime(period_end).year)
rev_val = pd.to_numeric(revenues['value'], errors='coerce').max()
print(f" Revenue for {year_key}: {rev_val}")
# Try multiple possible gross profit elements, using same period
gp_elements = ['us-gaap:GrossProfit', 'us-gaap:GrossMargin']
gross_profits = pd.DataFrame()
if period_end:
for elem in gp_elements:
temp = df[(df['element_id'].str.contains(elem.split(':')[1])) & (df['period_end'] == period_end)]
print(f" Checking {elem} for period {period_end}: {temp.shape}")
if not temp.empty:
gross_profits = temp
print(f" Found gross profit element: {elem}")
break
else:
for elem in gp_elements:
temp = df[df['element_id'].str.contains(elem.split(':')[1])]
print(f" Checking {elem}: {temp.shape}")
if not temp.empty:
gross_profits = temp
print(f" Found gross profit element: {elem}")
break
# If no direct GP found, try calculating from Revenue - COGS
if gross_profits.empty and period_end and rev_val:
cogs = df[(df['element_id'] == 'us-gaap:CostOfGoodsAndServicesSold') & (df['period_end'] == period_end)]
if not cogs.empty:
cogs_val = pd.to_numeric(cogs['value'], errors='coerce').max()
if cogs_val:
gp_val = rev_val - cogs_val
print(f" Calculated Gross Profit from Revenue - COGS: {gp_val}")
# Set a dummy gross_profits to indicate found
gross_profits = cogs # not used further, just for flag
net_incomes = pd.DataFrame()
if period_end:
net_incomes = df[(df['element_id'] == 'us-gaap:NetIncomeLoss') & (df['period_end'] == period_end)]
else:
net_incomes = df[df['element_id'] == 'us-gaap:NetIncomeLoss']
print(f" Revenues found: {not revenues.empty}, Gross Profit: {not gross_profits.empty}, Net Income: {not net_incomes.empty}")
if not gross_profits.empty:
if gp_val is None:
gp_val = pd.to_numeric(gross_profits['value'], errors='coerce').sum()
print(f" Gross Profit for {year_key}: {gp_val}")
elif 'gp_val' in locals():
print(f" Gross Profit for {year_key}: {gp_val}")
else:
print(f" Gross Profit not found for {year_key}")
if not net_incomes.empty:
ni_val = pd.to_numeric(net_incomes['value'], errors='coerce').max()
print(f" Net Income for {year_key}: {ni_val}")
if year_key and rev_val is not None:
rev_dict_yearly[year_key] = rev_val
if year_key and gp_val is not None:
gp_dict_yearly[year_key] = gp_val
if year_key and ni_val is not None:
ni_dict_yearly[year_key] = ni_val
except Exception as e:
print(f"Error processing filing {filing.accession_number}: {e}")
continue
if not rev_dict_quarterly or not ni_dict_quarterly:
print("Insufficient quarterly financial data across filings.")
return
print(f"Quarterly Rev dict: {rev_dict_quarterly}")
print(f"Quarterly GP dict: {gp_dict_quarterly}")
print(f"Quarterly NI dict: {ni_dict_quarterly}")
# Convert to Series
rev_data = pd.Series(rev_dict_quarterly)
gp_data = pd.Series(gp_dict_quarterly)
ni_data = pd.Series(ni_dict_quarterly)
# Get last 20 quarters
all_quarters = sorted(set(rev_data.index) | set(gp_data.index) | set(ni_data.index), key=lambda x: pd.Period(x, 'Q'))
quarters = all_quarters[-20:] if len(all_quarters) > 20 else all_quarters
rev_data = rev_data.reindex(quarters).fillna(0)
gp_data = gp_data.reindex(quarters).fillna(0)
ni_data = ni_data.reindex(quarters).fillna(0)
# Calculate margins
gross_margin = (gp_data / rev_data * 100).fillna(0)
net_margin = (ni_data / rev_data * 100).fillna(0)
# Plot
fig, ax1 = plt.subplots(figsize=(12, 8))
# Bars for Revenue, Gross Profit, Net Income
x = range(len(quarters))
width = 0.25
bars1 = ax1.bar([i - width for i in x], rev_data.values / 1e9, width, label='Revenue', color='blue')
bars2 = ax1.bar(x, gp_data.values / 1e9, width, label='Gross Profit', color='orange')
bars3 = ax1.bar([i + width for i in x], ni_data.values / 1e9, width, label='Net Income', color='green')
# Add value labels on bars
def format_value(val):
if abs(val) >= 1:
return f'${val:.1f}B'
else:
return f'${val*1000:.0f}M'
for bars in [bars1, bars2, bars3]:
for bar in bars:
height = bar.get_height()
ax1.text(bar.get_x() + bar.get_width()/2., height + max(rev_data.values / 1e9)*0.01,
format_value(height), ha='center', va='bottom', fontsize=8)
ax1.set_xlabel('Quarter')
ax1.set_ylabel('Billions USD')
ax1.set_title(f'{company.name} - Financial Metrics (Last 20 Quarters)')
ax1.set_xticks(x)
ax1.set_xticklabels(quarters)
ax1.legend(loc='upper left')
ax1.grid(axis='y')
# Secondary Y-axis for margins
ax2 = ax1.twinx()
ax2.plot(x, gross_margin.values, label='Gross Margin %', color='red', marker='o', linestyle='-')
ax2.plot(x, net_margin.values, label='Net Margin %', color='purple', marker='s', linestyle='-')
ax2.set_ylabel('Profit Margin (%)')
ax2.legend(loc='upper right')
plt.tight_layout()
chart_file = f"charts/{ticker}_chart.png"
plt.savefig(chart_file)
print(f"Quarterly chart saved to {chart_file}")
show_image(chart_file)
# Yearly chart
if rev_dict_yearly or ni_dict_yearly:
print(f"Yearly Rev dict: {rev_dict_yearly}")
print(f"Yearly GP dict: {gp_dict_yearly}")
print(f"Yearly NI dict: {ni_dict_yearly}")
# Convert to Series
rev_data_yearly = pd.Series(rev_dict_yearly)
gp_data_yearly = pd.Series(gp_dict_yearly)
ni_data_yearly = pd.Series(ni_dict_yearly)
# Get last 5 years
all_years = sorted(set(rev_data_yearly.index) | set(gp_data_yearly.index) | set(ni_data_yearly.index))
if len(all_years) < 5:
min_year = min(all_years) if all_years else 2024
years = list(range(min_year - (5 - len(all_years)), min_year + len(all_years)))
else:
years = all_years[-5:]
rev_data_yearly = rev_data_yearly.reindex(years).fillna(0)
gp_data_yearly = gp_data_yearly.reindex(years).fillna(0)
ni_data_yearly = ni_data_yearly.reindex(years).fillna(0)
# Calculate margins
gross_margin_yearly = (gp_data_yearly / rev_data_yearly * 100).fillna(0)
net_margin_yearly = (ni_data_yearly / rev_data_yearly * 100).fillna(0)
# Plot
fig, ax1 = plt.subplots(figsize=(12, 8))
# Bars for Revenue, Gross Profit, Net Income
x = range(len(years))
width = 0.25
bars1 = ax1.bar([i - width for i in x], rev_data_yearly.values / 1e9, width, label='Revenue', color='blue')
bars2 = ax1.bar(x, gp_data_yearly.values / 1e9, width, label='Gross Profit', color='orange')
bars3 = ax1.bar([i + width for i in x], ni_data_yearly.values / 1e9, width, label='Net Income', color='green')
# Add value labels on bars
def format_value(val):
if abs(val) >= 1:
return f'${val:.1f}B'
else:
return f'${val*1000:.0f}M'
for bars in [bars1, bars2, bars3]:
for bar in bars:
height = bar.get_height()
ax1.text(bar.get_x() + bar.get_width()/2., height + max(rev_data_yearly.values / 1e9)*0.01,
format_value(height), ha='center', va='bottom', fontsize=8)
ax1.set_xlabel('Fiscal Year')
ax1.set_ylabel('Billions USD')
ax1.set_title(f'{company.name} - Financial Metrics (Last 5 Years)')
ax1.set_xticks(x)
ax1.set_xticklabels(years)
ax1.legend(loc='upper left')
ax1.grid(axis='y')
# Secondary Y-axis for margins
ax2 = ax1.twinx()
ax2.plot(x, gross_margin_yearly.values, label='Gross Margin %', color='red', marker='o', linestyle='-')
ax2.plot(x, net_margin_yearly.values, label='Net Margin %', color='purple', marker='s', linestyle='-')
ax2.set_ylabel('Profit Margin (%)')
ax2.legend(loc='upper right')
plt.tight_layout()
chart_file_yearly = f"charts/{ticker}_yearly_chart.png"
plt.savefig(chart_file_yearly)
print(f"Yearly chart saved to {chart_file_yearly}")
show_image(chart_file_yearly)
if __name__ == "__main__":
if len(sys.argv) > 1:
ticker = sys.argv[1].upper()
else:
ticker = input("Enter ticker: ").strip().upper()
generate_charts(ticker)

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daily_insiders.py Executable file
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#!/usr/bin/env python3
import os
import json
from datetime import datetime
# Check if virtual environment is activated
if not os.environ.get('VIRTUAL_ENV'):
print("Virtual environment is not activated.")
print("To activate: . venv/bin/activate")
print("Then run: python daily_insiders.py")
exit(1)
import pandas as pd
from edgar import set_identity, set_local_storage_path, use_local_storage, latest_filings
# Set your identity (required by SEC)
set_identity("your.email@example.com")
# Step-by-step implementation of local storage from https://www.edgartools.io/speedup-jobs-with-local-storage/
# Step 1: Set the local storage path
LOCAL_STORAGE_PATH = "./edgar_cache"
os.makedirs(LOCAL_STORAGE_PATH, exist_ok=True)
set_local_storage_path(LOCAL_STORAGE_PATH)
# Step 2: Enable local storage usage
use_local_storage(True)
def get_daily_insider_transactions(target_date=None):
print("Fetching latest Form 4 filings for insider transactions...")
# Get latest filings for Form 4
latest_form4 = latest_filings(form="4")
if not latest_form4:
print("No latest Form 4 filings found.")
return
# Filter by target date if provided
if target_date:
filtered_filings = [f for f in latest_form4 if str(f.filing_date) == target_date]
if not filtered_filings:
print(f"No Form 4 filings found for {target_date}.")
return
else:
filtered_filings = latest_form4
transactions = []
for filing in filtered_filings:
try:
form4 = filing.obj()
if hasattr(form4, 'transactions') and form4.transactions:
if hasattr(form4, 'reporting_owner') and form4.reporting_owner:
owner_name = form4.reporting_owner.name
company_name = filing.company if hasattr(filing, 'company') else 'Unknown'
for transaction in form4.transactions:
transactions.append({
'filing_date': str(filing.filing_date),
'company': company_name,
'owner': owner_name,
'security': transaction.security_title,
'code': transaction.transaction_code,
'shares': str(transaction.transaction_shares),
'price': str(transaction.transaction_price),
'amount': str(transaction.transaction_amount)
})
except Exception as e:
print(f"Error processing filing {filing.accession_number}: {e}")
continue
if transactions:
print(f"\nFound {len(transactions)} insider transactions today:")
print("=" * 100)
for tx in transactions[:50]: # Limit to 50 for display
print(f"Date: {tx['filing_date']}, Company: {tx['company']}, Owner: {tx['owner']}, Security: {tx['security']}, Code: {tx['code']}, Shares: {tx['shares']}, Price: ${tx['price']}, Amount: ${tx['amount']}")
if len(transactions) > 50:
print(f"... and {len(transactions) - 50} more")
else:
print("No insider transactions found in current filings.")
if __name__ == "__main__":
get_daily_insider_transactions("2025-11-04")

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fetch_today_filings.py Executable file
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#!/usr/bin/env python3
import os
import argparse
from datetime import datetime, date
# Check if virtual environment is activated
if not os.environ.get('VIRTUAL_ENV'):
print("Virtual environment is not activated.")
print("To activate: . venv/bin/activate")
print("Then run: python fetch_today_filings.py")
exit(1)
from edgar import set_identity, get_current_filings, Company
# Set your identity (required by SEC)
set_identity("your.email@example.com")
# Parse command-line arguments
parser = argparse.ArgumentParser(description="Fetch latest SEC filings")
parser.add_argument('--form', help='Form type to filter (e.g., 4, 10-K, 8-K)')
parser.add_argument('--owner', choices=['include', 'exclude', 'only'],
help='Owner filter: include, exclude, or only ownership filings')
parser.add_argument('--interactive', action='store_true', help='Enter interactive mode to select filters')
args = parser.parse_args()
# Interactive mode
if args.interactive or (args.form is None and args.owner is None):
print("Interactive mode: Select filing filters")
print("Available form types: 4 (insider trading), 8-K (current events), 10-K (annual reports), 10-Q (quarterly), 13G (ownership), or press Enter for all")
form_input = input("Enter form type (or Enter for all): ").strip()
args.form = form_input if form_input else ''
print("Owner filter options:")
print("1. include - Include all filings (default)")
print("2. exclude - Exclude ownership filings")
print("3. only - Only ownership filings")
owner_choice = input("Choose owner filter (1-3, default 1): ").strip()
if owner_choice == '2':
args.owner = 'exclude'
elif owner_choice == '3':
args.owner = 'only'
else:
args.owner = 'include'
else:
args.form = args.form or ''
args.owner = args.owner or 'include'
def fetch_today_filings(form_filter, owner_filter):
print(f"Fetching latest filings with form='{form_filter}', owner='{owner_filter}'...")
# Get current filings
current_filings = get_current_filings(form=form_filter, owner=owner_filter)
if not current_filings:
print("No current filings found.")
return
# Use current filings as latest
today_filings = current_filings
if not today_filings:
print("No latest filings found.")
return
print(f"Found {len(today_filings)} latest filings:")
print("=" * 80)
for filing in today_filings:
try:
# Get entity to access ticker
entity = filing.get_entity()
ticker = entity.tickers[0] if hasattr(entity, 'tickers') and entity.tickers else 'N/A'
# For Form 4, try to get issuer's ticker if filer's ticker is N/A
if ticker == 'N/A' and filing.form == '4':
try:
form4 = filing.obj()
if form4:
issuer = getattr(form4, 'issuer', None)
if issuer:
issuer_cik = getattr(issuer, 'cik', None)
if issuer_cik:
issuer_company = Company(issuer_cik)
if issuer_company.tickers:
ticker = issuer_company.tickers[0]
except Exception:
pass # Keep N/A if fails
type_of_filing = filing.form
summary = f"{filing.form} filing by {filing.company}"
url_link = filing.homepage_url
print(f"Ticker: {ticker}")
print(f"Type: {type_of_filing}")
print(f"Summary: {summary}")
print(f"URL: {url_link}")
print("-" * 40)
except Exception as e:
print(f"Error processing filing {filing.accession_no}: {e}")
continue
if __name__ == "__main__":
fetch_today_filings(args.form, args.owner)

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get_company_details.py Normal file
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import sys
from edgar import Company, set_identity
# Set your identity (required by SEC regulations)
# Replace with your actual email address
set_identity("your.email@example.com")
if len(sys.argv) != 2:
print("Usage: python get_company_details.py <TICKER>")
print("Example: python get_company_details.py AAPL")
sys.exit(1)
ticker = sys.argv[1].upper()
try:
company = Company(ticker)
if company.not_found:
print(f"Company with ticker '{ticker}' not found.")
sys.exit(1)
print(f"Company Details for {ticker}:")
print(f"Name: {company.name}")
print(f"CIK: {company.cik}")
print(f"Display Name: {company.display_name}")
print(f"Tickers: {', '.join(company.tickers)}")
print(f"Industry: {company.industry}")
print(f"SIC Code: {company.sic}")
print(f"Fiscal Year End: {company.fiscal_year_end}")
# Business address
address = company.business_address()
if address:
print(f"Business Address: {address.street1}")
if address.street2:
print(f" {address.street2}")
print(f" {address.city}, {address.state_or_country} {address.zipcode}")
# Mailing address (if different)
mailing = company.mailing_address()
if mailing and mailing != address:
print(f"Mailing Address: {mailing.street1}")
if mailing.street2:
print(f" {mailing.street2}")
print(f" {mailing.city}, {mailing.state_or_country} {mailing.zipcode}")
# Exchanges
exchanges = company.get_exchanges()
if exchanges:
print(f"Exchanges: {', '.join(exchanges)}")
except Exception as e:
print(f"Error retrieving company details: {e}")
sys.exit(1)

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investor_holdings.py Executable file
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#!/usr/bin/env python3
import os
import json
import hashlib
# Check if virtual environment is activated
if not os.environ.get('VIRTUAL_ENV'):
print("Virtual environment is not activated.")
print("To activate: . venv/bin/activate")
print("Then run: python investor_holdings.py")
exit(1)
import pandas as pd
from edgar import Company, set_identity, set_local_storage_path, use_local_storage
# Step-by-step implementation of local storage from https://www.edgartools.io/speedup-jobs-with-local-storage/
# Step-by-step implementation of local storage from https://www.edgartools.io/speedup-jobs-with-local-storage/
# Enable local storage for caching filings
LOCAL_STORAGE_PATH = os.path.abspath("./edgar_cache")
os.makedirs(LOCAL_STORAGE_PATH, exist_ok=True)
use_local_storage(LOCAL_STORAGE_PATH)
# Set your identity (required by SEC) - after local storage
set_identity("your.email@example.com")
# Cache directory
CACHE_DIR = 'cache'
os.makedirs(CACHE_DIR, exist_ok=True)
def get_cache_key(name, ticker, inv_type, num_filings):
key = f"{name}_{ticker}_{inv_type}_{num_filings}"
return hashlib.md5(key.encode()).hexdigest() + '.json'
def load_cache(cache_file):
if os.path.exists(cache_file):
with open(cache_file, 'r') as f:
return json.load(f)
return None
def save_cache(cache_file, data):
with open(cache_file, 'w') as f:
json.dump(data, f, indent=2)
def get_holdings(ticker_or_cik, name, num_filings=1):
cache_file = os.path.join(CACHE_DIR, get_cache_key(name, ticker_or_cik, '13f', num_filings))
cached_data = load_cache(cache_file)
if cached_data:
print(f"\n{name} - 13F Holdings (from cache):")
for entry in cached_data:
print(f"\n{name} ({entry['company_name']}) - 13F Holdings as of {entry['report_period']}:")
print("=" * 60)
for holding in entry['top_holdings']:
print(holding)
return cached_data
try:
company = Company(ticker_or_cik)
if company.not_found:
print(f"{name}: Company not found")
return None
# Get last num_filings 13F filings
filings_13f = company.get_filings(form="13F-HR").head(num_filings)
if not filings_13f:
print(f"{name}: No 13F filings found")
return None
data_to_cache = []
for i, filing_13f in enumerate(filings_13f):
# Get holdings data
holdings_obj = filing_13f.obj()
if not holdings_obj.has_infotable():
print(f"{name} - Filing {i+1}: No holdings data")
continue
holdings_df = holdings_obj.infotable
report_period = holdings_obj.report_period
print(f"\n{name} ({company.name}) - 13F Holdings as of {report_period}:")
print("=" * 60)
holdings_list = []
# Ensure SharesPrnAmount is numeric
holdings_df['SharesPrnAmount'] = pd.to_numeric(holdings_df['SharesPrnAmount'], errors='coerce')
# Separate long and short positions
# Puts are bearish (short exposure), Calls are bullish (long exposure)
put_call_col = 'PutCall' if 'PutCall' in holdings_df.columns else None
shares_type_col = 'SharesPrnType' if 'SharesPrnType' in holdings_df.columns else None
if put_call_col:
long_positions = holdings_df[(holdings_df[put_call_col] != 'Put') & (holdings_df.get(shares_type_col, '') != 'SH')]
short_positions = holdings_df[(holdings_df[put_call_col] == 'Put') | (holdings_df.get(shares_type_col, '') == 'SH')]
else:
long_positions = holdings_df[holdings_df.get(shares_type_col, '') != 'SH']
short_positions = holdings_df[holdings_df.get(shares_type_col, '') == 'SH']
# Display top 10 long holdings by value
if len(long_positions) > 0:
top_long = long_positions.nlargest(10, 'Value')
print("\nTop Long Positions:")
for idx, row in top_long.iterrows():
shares = int(row['SharesPrnAmount']) if pd.notna(row['SharesPrnAmount']) else 'N/A'
put_call = row.get('PutCall', '')
title = row.get('TitleOfClass', '')
position_type = put_call if put_call else (title if title else 'Shares')
line = f"{row['Issuer']}: ${row['Value']/1e6:.1f}M ({shares} shares, {position_type})"
print(line)
holdings_list.append(f"Long: {line}")
# Display top 10 short positions by absolute value
if len(short_positions) > 0:
short_positions = short_positions.copy()
short_positions['AbsValue'] = short_positions['Value'].abs()
top_short = short_positions.nlargest(10, 'AbsValue')
print("\nTop Short Positions:")
for idx, row in top_short.iterrows():
shares = int(row['SharesPrnAmount']) if pd.notna(row['SharesPrnAmount']) else 'N/A'
line = f"{row['Issuer']}: ${row['Value']/1e6:.1f}M ({shares} shares)"
print(line)
holdings_list.append(f"Short: {line}")
else:
# If no 'SH' type, check for negative shares as shorts
potential_shorts = holdings_df[holdings_df['SharesPrnAmount'] < 0]
if len(potential_shorts) > 0:
potential_shorts = potential_shorts.copy()
potential_shorts['AbsValue'] = potential_shorts['Value'].abs()
top_short = potential_shorts.nlargest(10, 'AbsValue')
print("\nTop Short Positions (inferred from negative shares):")
for idx, row in top_short.iterrows():
shares = int(row['SharesPrnAmount']) if pd.notna(row['SharesPrnAmount']) else 'N/A'
line = f"{row['Issuer']}: ${row['Value']/1e6:.1f}M ({shares} shares)"
print(line)
holdings_list.append(f"Short: {line}")
else:
print("\nNo short positions reported.")
data_to_cache.append({
'report_period': str(report_period),
'company_name': company.name,
'top_holdings': holdings_list
})
save_cache(cache_file, data_to_cache)
return data_to_cache
except Exception as e:
print(f"Error getting holdings for {name}: {e}")
return None
def get_insider_transactions(ticker, insider_name=None, num_filings=5):
cache_file = os.path.join(CACHE_DIR, get_cache_key(insider_name or 'all', ticker, 'insider', num_filings))
cached_data = load_cache(cache_file)
if cached_data:
print(f"\nAll insiders found in recent Form 4 filings for {cached_data['company_name']} ({ticker}) (from cache):")
for insider in cached_data['all_insiders']:
print(f" - {insider}")
if insider_name:
if cached_data['found_transactions']:
print(f"\nInsider Transactions for {insider_name} at {cached_data['company_name']} ({ticker}) (from cache):")
print("=" * 80)
for tx in cached_data['found_transactions'][:10]:
print(f"Date: {tx['date']}, Code: {tx['code']}, Shares: {tx['shares']}, Price: ${tx['price']}, Amount: ${tx['amount']}")
else:
print(f"No transactions found for {insider_name} at {ticker}")
return cached_data['found_transactions']
try:
company = Company(ticker)
if company.not_found:
print(f"Company {ticker}: Not found")
return None
# Get recent Form 4 filings
filings_4 = company.get_filings(form="4").head(num_filings)
if not filings_4:
print(f"No Form 4 filings found for {ticker}")
return None
all_insiders = set()
found_transactions = []
for filing in filings_4:
form4 = filing.obj()
if hasattr(form4, 'transactions') and form4.transactions is not None:
if hasattr(form4, 'reporting_owner') and form4.reporting_owner:
owner_name = form4.reporting_owner.name
all_insiders.add(owner_name)
if insider_name and insider_name.lower() in owner_name.lower():
for transaction in form4.transactions:
found_transactions.append({
'date': str(filing.filing_date),
'owner': owner_name,
'security': transaction.security_title,
'code': transaction.transaction_code,
'shares': str(transaction.transaction_shares),
'price': str(transaction.transaction_price),
'amount': str(transaction.transaction_amount)
})
print(f"\nAll insiders found in recent Form 4 filings for {company.name} ({ticker}):")
for insider in sorted(all_insiders):
print(f" - {insider}")
if insider_name:
if found_transactions:
print(f"\nInsider Transactions for {insider_name} at {company.name} ({ticker}):")
print("=" * 80)
for tx in found_transactions[:10]: # Limit to 10 most recent
print(f"Date: {tx['date']}, Code: {tx['code']}, Shares: {tx['shares']}, Price: ${tx['price']}, Amount: ${tx['amount']}")
else:
print(f"No transactions found for {insider_name} at {ticker}")
data_to_cache = {
'company_name': company.name,
'all_insiders': sorted(list(all_insiders)),
'found_transactions': found_transactions
}
save_cache(cache_file, data_to_cache)
return found_transactions
except Exception as e:
print(f"Error getting insider transactions: {e}")
return None
# Load investors from external file
with open('investors.json', 'r') as f:
config = json.load(f)
investors = config['investors']
def select_investors():
print("\nAvailable Investors:")
for i, inv in enumerate(investors, 1):
print(f"{i}. {inv['name']} ({inv['type'].upper()})")
print("0. All investors")
print("q. Quit")
while True:
choice = input("\nSelect investor(s) (comma-separated numbers, 'all', or 'q' to quit): ").strip().lower()
if choice == 'q':
return []
elif choice == 'all' or choice == '0':
return investors
else:
try:
indices = [int(x.strip()) - 1 for x in choice.split(',')]
selected = [investors[i] for i in indices if 0 <= i < len(investors)]
if selected:
return selected
else:
print("Invalid selection. Try again.")
except ValueError:
print("Invalid input. Enter numbers separated by commas, 'all', or 'q'.")
if __name__ == "__main__":
import sys
if len(sys.argv) > 1:
try:
idx = int(sys.argv[1]) - 1
if 0 <= idx < len(investors):
selected_investors = [investors[idx]]
else:
print("Invalid index")
selected_investors = []
except ValueError:
print("Invalid argument")
selected_investors = []
else:
selected_investors = select_investors()
if not selected_investors:
print("Exiting.")
exit(0)
for investor in selected_investors:
name = investor['name']
ticker = investor['ticker']
inv_type = investor['type']
num_filings = investor.get('filings', 1)
if inv_type == '13f':
get_holdings(ticker, name, num_filings)
elif inv_type == 'insider':
get_insider_transactions(ticker, name, num_filings)
print("\n" + "="*80)
print("Processing complete.")

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investors.json Normal file
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{
"investors": [
{
"name": "Warren Buffett",
"ticker": "BRK-A",
"type": "13f",
"filings": 4
},
{
"name": "Cathie Wood",
"ticker": "0001697748",
"type": "13f",
"filings": 4
},
{
"name": "Duggan Robert W",
"ticker": "0001055919",
"type": "insider",
"filings": 4
},
{
"name": "BlackRock",
"ticker": "0001364742",
"type": "13f",
"filings": 4
},
{
"name": "Vanguard Group",
"ticker": "0000102909",
"type": "13f",
"filings": 4
},
{
"name": "State Street Global Advisors",
"ticker": "0000093751",
"type": "13f",
"filings": 4
},
{
"name": "Fidelity Investments",
"ticker": "0000315066",
"type": "13f",
"filings": 4
},
{
"name": "PIMCO",
"ticker": "0001006249",
"type": "13f",
"filings": 4
},
{
"name": "Michael Burry",
"ticker": "0001649339",
"type": "13f",
"filings": 4
},
{
"name": "Pale Fire Capital SE",
"ticker": "0001876588",
"type": "13f",
"filings": 4
}
]
}

0
os Normal file
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65
parse_duggan_filing.py Normal file
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import pandas as pd
from bs4 import BeautifulSoup
import re
# Read the local HTML file
with open('DUGGAN_SEC FORM 4.html', 'r', encoding='utf-8') as f:
html_content = f.read()
# Parse the HTML
soup = BeautifulSoup(html_content, 'html.parser')
# Extract basic info
reporting_person = soup.find(lambda tag: tag.name == 'td' and 'DUGGAN ROBERT W' in tag.get_text())
if reporting_person:
print("Reporting Person:", reporting_person.get_text(strip=True))
issuer = soup.find('a', href=re.compile(r'CIK=0001599298'))
if issuer:
print("Issuer:", issuer.get_text(strip=True))
# Find Table I
table_i = None
for table in soup.find_all('table'):
if table.find('th', text=re.compile('Table I')):
table_i = table
break
if table_i:
tbody = table_i.find('tbody')
if tbody:
rows = tbody.find_all('tr')
transactions = []
for row in rows:
cols = row.find_all('td')
if len(cols) >= 11:
transaction = {
'title': cols[0].get_text(strip=True),
'transaction_date': cols[1].get_text(strip=True),
'code': cols[3].get_text(strip=True),
'amount': cols[5].get_text(strip=True).replace(',', ''),
'a_or_d': cols[6].get_text(strip=True),
'price': cols[7].get_text(strip=True).replace('$', '').strip(),
'beneficially_owned': cols[8].get_text(strip=True).replace(',', ''),
'ownership_form': cols[9].get_text(strip=True),
'nature': cols[10].get_text(strip=True) if len(cols) > 10 else ''
}
transactions.append(transaction)
print("\nNon-Derivative Securities Transactions:")
for tx in transactions:
print(f"Title: {tx['title']}")
print(f"Date: {tx['transaction_date']}, Code: {tx['code']}, Amount: {tx['amount']}, A/D: {tx['a_or_d']}, Price: ${tx['price']}")
print(f"Beneficially Owned: {tx['beneficially_owned']}, Form: {tx['ownership_form']}")
if tx['nature']:
print(f"Nature: {tx['nature']}")
print("-" * 50)
# Extract footnotes
footnotes = soup.find_all('td', class_='FootnoteData')
if footnotes:
print("\nFootnotes:")
for i, footnote in enumerate(footnotes, 1):
print(f"{i}. {footnote.get_text(strip=True)}")
print("\nInvestigation complete.")

5
run.sh Executable file
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#!/bin/bash
. venv/bin/activate
python investor_holdings.py

22
test_cache.py Normal file
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#!/usr/bin/env python3
import os
import pandas as pd
from edgar import Company, set_identity, set_local_storage_path, use_local_storage
# Set your identity (required by SEC)
set_identity("your.email@example.com")
# Enable local storage for caching filings
LOCAL_STORAGE_PATH = "./edgar_cache"
os.makedirs(LOCAL_STORAGE_PATH, exist_ok=True)
set_local_storage_path(LOCAL_STORAGE_PATH)
use_local_storage(True)
company = Company("BRK-A")
filings = company.get_filings(form="13F-HR").head(1)
if filings:
filing = filings[0]
obj = filing.obj()
print("Fetched and processed filing")
print("Check edgar_cache for files")

247
venv/bin/Activate.ps1 Normal file
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<#
.Synopsis
Activate a Python virtual environment for the current PowerShell session.
.Description
Pushes the python executable for a virtual environment to the front of the
$Env:PATH environment variable and sets the prompt to signify that you are
in a Python virtual environment. Makes use of the command line switches as
well as the `pyvenv.cfg` file values present in the virtual environment.
.Parameter VenvDir
Path to the directory that contains the virtual environment to activate. The
default value for this is the parent of the directory that the Activate.ps1
script is located within.
.Parameter Prompt
The prompt prefix to display when this virtual environment is activated. By
default, this prompt is the name of the virtual environment folder (VenvDir)
surrounded by parentheses and followed by a single space (ie. '(.venv) ').
.Example
Activate.ps1
Activates the Python virtual environment that contains the Activate.ps1 script.
.Example
Activate.ps1 -Verbose
Activates the Python virtual environment that contains the Activate.ps1 script,
and shows extra information about the activation as it executes.
.Example
Activate.ps1 -VenvDir C:\Users\MyUser\Common\.venv
Activates the Python virtual environment located in the specified location.
.Example
Activate.ps1 -Prompt "MyPython"
Activates the Python virtual environment that contains the Activate.ps1 script,
and prefixes the current prompt with the specified string (surrounded in
parentheses) while the virtual environment is active.
.Notes
On Windows, it may be required to enable this Activate.ps1 script by setting the
execution policy for the user. You can do this by issuing the following PowerShell
command:
PS C:\> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
For more information on Execution Policies:
https://go.microsoft.com/fwlink/?LinkID=135170
#>
Param(
[Parameter(Mandatory = $false)]
[String]
$VenvDir,
[Parameter(Mandatory = $false)]
[String]
$Prompt
)
<# Function declarations --------------------------------------------------- #>
<#
.Synopsis
Remove all shell session elements added by the Activate script, including the
addition of the virtual environment's Python executable from the beginning of
the PATH variable.
.Parameter NonDestructive
If present, do not remove this function from the global namespace for the
session.
#>
function global:deactivate ([switch]$NonDestructive) {
# Revert to original values
# The prior prompt:
if (Test-Path -Path Function:_OLD_VIRTUAL_PROMPT) {
Copy-Item -Path Function:_OLD_VIRTUAL_PROMPT -Destination Function:prompt
Remove-Item -Path Function:_OLD_VIRTUAL_PROMPT
}
# The prior PYTHONHOME:
if (Test-Path -Path Env:_OLD_VIRTUAL_PYTHONHOME) {
Copy-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME -Destination Env:PYTHONHOME
Remove-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME
}
# The prior PATH:
if (Test-Path -Path Env:_OLD_VIRTUAL_PATH) {
Copy-Item -Path Env:_OLD_VIRTUAL_PATH -Destination Env:PATH
Remove-Item -Path Env:_OLD_VIRTUAL_PATH
}
# Just remove the VIRTUAL_ENV altogether:
if (Test-Path -Path Env:VIRTUAL_ENV) {
Remove-Item -Path env:VIRTUAL_ENV
}
# Just remove VIRTUAL_ENV_PROMPT altogether.
if (Test-Path -Path Env:VIRTUAL_ENV_PROMPT) {
Remove-Item -Path env:VIRTUAL_ENV_PROMPT
}
# Just remove the _PYTHON_VENV_PROMPT_PREFIX altogether:
if (Get-Variable -Name "_PYTHON_VENV_PROMPT_PREFIX" -ErrorAction SilentlyContinue) {
Remove-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Scope Global -Force
}
# Leave deactivate function in the global namespace if requested:
if (-not $NonDestructive) {
Remove-Item -Path function:deactivate
}
}
<#
.Description
Get-PyVenvConfig parses the values from the pyvenv.cfg file located in the
given folder, and returns them in a map.
For each line in the pyvenv.cfg file, if that line can be parsed into exactly
two strings separated by `=` (with any amount of whitespace surrounding the =)
then it is considered a `key = value` line. The left hand string is the key,
the right hand is the value.
If the value starts with a `'` or a `"` then the first and last character is
stripped from the value before being captured.
.Parameter ConfigDir
Path to the directory that contains the `pyvenv.cfg` file.
#>
function Get-PyVenvConfig(
[String]
$ConfigDir
) {
Write-Verbose "Given ConfigDir=$ConfigDir, obtain values in pyvenv.cfg"
# Ensure the file exists, and issue a warning if it doesn't (but still allow the function to continue).
$pyvenvConfigPath = Join-Path -Resolve -Path $ConfigDir -ChildPath 'pyvenv.cfg' -ErrorAction Continue
# An empty map will be returned if no config file is found.
$pyvenvConfig = @{ }
if ($pyvenvConfigPath) {
Write-Verbose "File exists, parse `key = value` lines"
$pyvenvConfigContent = Get-Content -Path $pyvenvConfigPath
$pyvenvConfigContent | ForEach-Object {
$keyval = $PSItem -split "\s*=\s*", 2
if ($keyval[0] -and $keyval[1]) {
$val = $keyval[1]
# Remove extraneous quotations around a string value.
if ("'""".Contains($val.Substring(0, 1))) {
$val = $val.Substring(1, $val.Length - 2)
}
$pyvenvConfig[$keyval[0]] = $val
Write-Verbose "Adding Key: '$($keyval[0])'='$val'"
}
}
}
return $pyvenvConfig
}
<# Begin Activate script --------------------------------------------------- #>
# Determine the containing directory of this script
$VenvExecPath = Split-Path -Parent $MyInvocation.MyCommand.Definition
$VenvExecDir = Get-Item -Path $VenvExecPath
Write-Verbose "Activation script is located in path: '$VenvExecPath'"
Write-Verbose "VenvExecDir Fullname: '$($VenvExecDir.FullName)"
Write-Verbose "VenvExecDir Name: '$($VenvExecDir.Name)"
# Set values required in priority: CmdLine, ConfigFile, Default
# First, get the location of the virtual environment, it might not be
# VenvExecDir if specified on the command line.
if ($VenvDir) {
Write-Verbose "VenvDir given as parameter, using '$VenvDir' to determine values"
}
else {
Write-Verbose "VenvDir not given as a parameter, using parent directory name as VenvDir."
$VenvDir = $VenvExecDir.Parent.FullName.TrimEnd("\\/")
Write-Verbose "VenvDir=$VenvDir"
}
# Next, read the `pyvenv.cfg` file to determine any required value such
# as `prompt`.
$pyvenvCfg = Get-PyVenvConfig -ConfigDir $VenvDir
# Next, set the prompt from the command line, or the config file, or
# just use the name of the virtual environment folder.
if ($Prompt) {
Write-Verbose "Prompt specified as argument, using '$Prompt'"
}
else {
Write-Verbose "Prompt not specified as argument to script, checking pyvenv.cfg value"
if ($pyvenvCfg -and $pyvenvCfg['prompt']) {
Write-Verbose " Setting based on value in pyvenv.cfg='$($pyvenvCfg['prompt'])'"
$Prompt = $pyvenvCfg['prompt'];
}
else {
Write-Verbose " Setting prompt based on parent's directory's name. (Is the directory name passed to venv module when creating the virtual environment)"
Write-Verbose " Got leaf-name of $VenvDir='$(Split-Path -Path $venvDir -Leaf)'"
$Prompt = Split-Path -Path $venvDir -Leaf
}
}
Write-Verbose "Prompt = '$Prompt'"
Write-Verbose "VenvDir='$VenvDir'"
# Deactivate any currently active virtual environment, but leave the
# deactivate function in place.
deactivate -nondestructive
# Now set the environment variable VIRTUAL_ENV, used by many tools to determine
# that there is an activated venv.
$env:VIRTUAL_ENV = $VenvDir
if (-not $Env:VIRTUAL_ENV_DISABLE_PROMPT) {
Write-Verbose "Setting prompt to '$Prompt'"
# Set the prompt to include the env name
# Make sure _OLD_VIRTUAL_PROMPT is global
function global:_OLD_VIRTUAL_PROMPT { "" }
Copy-Item -Path function:prompt -Destination function:_OLD_VIRTUAL_PROMPT
New-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Description "Python virtual environment prompt prefix" -Scope Global -Option ReadOnly -Visibility Public -Value $Prompt
function global:prompt {
Write-Host -NoNewline -ForegroundColor Green "($_PYTHON_VENV_PROMPT_PREFIX) "
_OLD_VIRTUAL_PROMPT
}
$env:VIRTUAL_ENV_PROMPT = $Prompt
}
# Clear PYTHONHOME
if (Test-Path -Path Env:PYTHONHOME) {
Copy-Item -Path Env:PYTHONHOME -Destination Env:_OLD_VIRTUAL_PYTHONHOME
Remove-Item -Path Env:PYTHONHOME
}
# Add the venv to the PATH
Copy-Item -Path Env:PATH -Destination Env:_OLD_VIRTUAL_PATH
$Env:PATH = "$VenvExecDir$([System.IO.Path]::PathSeparator)$Env:PATH"

69
venv/bin/activate Normal file
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# This file must be used with "source bin/activate" *from bash*
# you cannot run it directly
deactivate () {
# reset old environment variables
if [ -n "${_OLD_VIRTUAL_PATH:-}" ] ; then
PATH="${_OLD_VIRTUAL_PATH:-}"
export PATH
unset _OLD_VIRTUAL_PATH
fi
if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then
PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}"
export PYTHONHOME
unset _OLD_VIRTUAL_PYTHONHOME
fi
# This should detect bash and zsh, which have a hash command that must
# be called to get it to forget past commands. Without forgetting
# past commands the $PATH changes we made may not be respected
if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then
hash -r 2> /dev/null
fi
if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then
PS1="${_OLD_VIRTUAL_PS1:-}"
export PS1
unset _OLD_VIRTUAL_PS1
fi
unset VIRTUAL_ENV
unset VIRTUAL_ENV_PROMPT
if [ ! "${1:-}" = "nondestructive" ] ; then
# Self destruct!
unset -f deactivate
fi
}
# unset irrelevant variables
deactivate nondestructive
VIRTUAL_ENV=/home/kadu/scripts/edgartools-test/venv
export VIRTUAL_ENV
_OLD_VIRTUAL_PATH="$PATH"
PATH="$VIRTUAL_ENV/"bin":$PATH"
export PATH
# unset PYTHONHOME if set
# this will fail if PYTHONHOME is set to the empty string (which is bad anyway)
# could use `if (set -u; : $PYTHONHOME) ;` in bash
if [ -n "${PYTHONHOME:-}" ] ; then
_OLD_VIRTUAL_PYTHONHOME="${PYTHONHOME:-}"
unset PYTHONHOME
fi
if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT:-}" ] ; then
_OLD_VIRTUAL_PS1="${PS1:-}"
PS1='(venv) '"${PS1:-}"
export PS1
VIRTUAL_ENV_PROMPT='(venv) '
export VIRTUAL_ENV_PROMPT
fi
# This should detect bash and zsh, which have a hash command that must
# be called to get it to forget past commands. Without forgetting
# past commands the $PATH changes we made may not be respected
if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then
hash -r 2> /dev/null
fi

26
venv/bin/activate.csh Normal file
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# This file must be used with "source bin/activate.csh" *from csh*.
# You cannot run it directly.
# Created by Davide Di Blasi <davidedb@gmail.com>.
# Ported to Python 3.3 venv by Andrew Svetlov <andrew.svetlov@gmail.com>
alias deactivate 'test $?_OLD_VIRTUAL_PATH != 0 && setenv PATH "$_OLD_VIRTUAL_PATH" && unset _OLD_VIRTUAL_PATH; rehash; test $?_OLD_VIRTUAL_PROMPT != 0 && set prompt="$_OLD_VIRTUAL_PROMPT" && unset _OLD_VIRTUAL_PROMPT; unsetenv VIRTUAL_ENV; unsetenv VIRTUAL_ENV_PROMPT; test "\!:*" != "nondestructive" && unalias deactivate'
# Unset irrelevant variables.
deactivate nondestructive
setenv VIRTUAL_ENV /home/kadu/scripts/edgartools-test/venv
set _OLD_VIRTUAL_PATH="$PATH"
setenv PATH "$VIRTUAL_ENV/"bin":$PATH"
set _OLD_VIRTUAL_PROMPT="$prompt"
if (! "$?VIRTUAL_ENV_DISABLE_PROMPT") then
set prompt = '(venv) '"$prompt"
setenv VIRTUAL_ENV_PROMPT '(venv) '
endif
alias pydoc python -m pydoc
rehash

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# This file must be used with "source <venv>/bin/activate.fish" *from fish*
# (https://fishshell.com/); you cannot run it directly.
function deactivate -d "Exit virtual environment and return to normal shell environment"
# reset old environment variables
if test -n "$_OLD_VIRTUAL_PATH"
set -gx PATH $_OLD_VIRTUAL_PATH
set -e _OLD_VIRTUAL_PATH
end
if test -n "$_OLD_VIRTUAL_PYTHONHOME"
set -gx PYTHONHOME $_OLD_VIRTUAL_PYTHONHOME
set -e _OLD_VIRTUAL_PYTHONHOME
end
if test -n "$_OLD_FISH_PROMPT_OVERRIDE"
set -e _OLD_FISH_PROMPT_OVERRIDE
# prevents error when using nested fish instances (Issue #93858)
if functions -q _old_fish_prompt
functions -e fish_prompt
functions -c _old_fish_prompt fish_prompt
functions -e _old_fish_prompt
end
end
set -e VIRTUAL_ENV
set -e VIRTUAL_ENV_PROMPT
if test "$argv[1]" != "nondestructive"
# Self-destruct!
functions -e deactivate
end
end
# Unset irrelevant variables.
deactivate nondestructive
set -gx VIRTUAL_ENV /home/kadu/scripts/edgartools-test/venv
set -gx _OLD_VIRTUAL_PATH $PATH
set -gx PATH "$VIRTUAL_ENV/"bin $PATH
# Unset PYTHONHOME if set.
if set -q PYTHONHOME
set -gx _OLD_VIRTUAL_PYTHONHOME $PYTHONHOME
set -e PYTHONHOME
end
if test -z "$VIRTUAL_ENV_DISABLE_PROMPT"
# fish uses a function instead of an env var to generate the prompt.
# Save the current fish_prompt function as the function _old_fish_prompt.
functions -c fish_prompt _old_fish_prompt
# With the original prompt function renamed, we can override with our own.
function fish_prompt
# Save the return status of the last command.
set -l old_status $status
# Output the venv prompt; color taken from the blue of the Python logo.
printf "%s%s%s" (set_color 4B8BBE) '(venv) ' (set_color normal)
# Restore the return status of the previous command.
echo "exit $old_status" | .
# Output the original/"old" prompt.
_old_fish_prompt
end
set -gx _OLD_FISH_PROMPT_OVERRIDE "$VIRTUAL_ENV"
set -gx VIRTUAL_ENV_PROMPT '(venv) '
end

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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from edgar.ai.mcp_server import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

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venv/bin/f2py Executable file
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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from numpy.f2py.f2py2e import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
venv/bin/fonttools Executable file
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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from fontTools.__main__ import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from httpx import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
venv/bin/markdown-it Executable file
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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from markdown_it.cli.parse import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
venv/bin/numpy-config Executable file
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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from numpy._configtool import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
venv/bin/pip Executable file
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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
venv/bin/pip3 Executable file
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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
venv/bin/pip3.10 Executable file
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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
venv/bin/pyftmerge Executable file
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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from fontTools.merge import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
venv/bin/pyftsubset Executable file
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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from fontTools.subset import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

8
venv/bin/pygmentize Executable file
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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pygments.cmdline import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

1
venv/bin/python Symbolic link
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python3

1
venv/bin/python3 Symbolic link
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/usr/bin/python3

1
venv/bin/python3.10 Symbolic link
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python3

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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from tabulate import _main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(_main())

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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from tqdm.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

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venv/bin/ttx Executable file
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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from fontTools.ttx import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

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#!/home/kadu/scripts/edgartools-test/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from unidecode.util import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())

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venv/lib/python3.10/site-packages/LICENSE.txt Normal file
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MIT License
Copyright (c) 2022-present Dwight Gunning <dgunning@gmail.com>
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

291
venv/lib/python3.10/site-packages/PIL/AvifImagePlugin.py Normal file
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from __future__ import annotations
import os
from io import BytesIO
from typing import IO
from . import ExifTags, Image, ImageFile
try:
from . import _avif
SUPPORTED = True
except ImportError:
SUPPORTED = False
# Decoder options as module globals, until there is a way to pass parameters
# to Image.open (see https://github.com/python-pillow/Pillow/issues/569)
DECODE_CODEC_CHOICE = "auto"
DEFAULT_MAX_THREADS = 0
def get_codec_version(codec_name: str) -> str | None:
versions = _avif.codec_versions()
for version in versions.split(", "):
if version.split(" [")[0] == codec_name:
return version.split(":")[-1].split(" ")[0]
return None
def _accept(prefix: bytes) -> bool | str:
if prefix[4:8] != b"ftyp":
return False
major_brand = prefix[8:12]
if major_brand in (
# coding brands
b"avif",
b"avis",
# We accept files with AVIF container brands; we can't yet know if
# the ftyp box has the correct compatible brands, but if it doesn't
# then the plugin will raise a SyntaxError which Pillow will catch
# before moving on to the next plugin that accepts the file.
#
# Also, because this file might not actually be an AVIF file, we
# don't raise an error if AVIF support isn't properly compiled.
b"mif1",
b"msf1",
):
if not SUPPORTED:
return (
"image file could not be identified because AVIF support not installed"
)
return True
return False
def _get_default_max_threads() -> int:
if DEFAULT_MAX_THREADS:
return DEFAULT_MAX_THREADS
if hasattr(os, "sched_getaffinity"):
return len(os.sched_getaffinity(0))
else:
return os.cpu_count() or 1
class AvifImageFile(ImageFile.ImageFile):
format = "AVIF"
format_description = "AVIF image"
__frame = -1
def _open(self) -> None:
if not SUPPORTED:
msg = "image file could not be opened because AVIF support not installed"
raise SyntaxError(msg)
if DECODE_CODEC_CHOICE != "auto" and not _avif.decoder_codec_available(
DECODE_CODEC_CHOICE
):
msg = "Invalid opening codec"
raise ValueError(msg)
self._decoder = _avif.AvifDecoder(
self.fp.read(),
DECODE_CODEC_CHOICE,
_get_default_max_threads(),
)
# Get info from decoder
self._size, self.n_frames, self._mode, icc, exif, exif_orientation, xmp = (
self._decoder.get_info()
)
self.is_animated = self.n_frames > 1
if icc:
self.info["icc_profile"] = icc
if xmp:
self.info["xmp"] = xmp
if exif_orientation != 1 or exif:
exif_data = Image.Exif()
if exif:
exif_data.load(exif)
original_orientation = exif_data.get(ExifTags.Base.Orientation, 1)
else:
original_orientation = 1
if exif_orientation != original_orientation:
exif_data[ExifTags.Base.Orientation] = exif_orientation
exif = exif_data.tobytes()
if exif:
self.info["exif"] = exif
self.seek(0)
def seek(self, frame: int) -> None:
if not self._seek_check(frame):
return
# Set tile
self.__frame = frame
self.tile = [ImageFile._Tile("raw", (0, 0) + self.size, 0, self.mode)]
def load(self) -> Image.core.PixelAccess | None:
if self.tile:
# We need to load the image data for this frame
data, timescale, pts_in_timescales, duration_in_timescales = (
self._decoder.get_frame(self.__frame)
)
self.info["timestamp"] = round(1000 * (pts_in_timescales / timescale))
self.info["duration"] = round(1000 * (duration_in_timescales / timescale))
if self.fp and self._exclusive_fp:
self.fp.close()
self.fp = BytesIO(data)
return super().load()
def load_seek(self, pos: int) -> None:
pass
def tell(self) -> int:
return self.__frame
def _save_all(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
_save(im, fp, filename, save_all=True)
def _save(
im: Image.Image, fp: IO[bytes], filename: str | bytes, save_all: bool = False
) -> None:
info = im.encoderinfo.copy()
if save_all:
append_images = list(info.get("append_images", []))
else:
append_images = []
total = 0
for ims in [im] + append_images:
total += getattr(ims, "n_frames", 1)
quality = info.get("quality", 75)
if not isinstance(quality, int) or quality < 0 or quality > 100:
msg = "Invalid quality setting"
raise ValueError(msg)
duration = info.get("duration", 0)
subsampling = info.get("subsampling", "4:2:0")
speed = info.get("speed", 6)
max_threads = info.get("max_threads", _get_default_max_threads())
codec = info.get("codec", "auto")
if codec != "auto" and not _avif.encoder_codec_available(codec):
msg = "Invalid saving codec"
raise ValueError(msg)
range_ = info.get("range", "full")
tile_rows_log2 = info.get("tile_rows", 0)
tile_cols_log2 = info.get("tile_cols", 0)
alpha_premultiplied = bool(info.get("alpha_premultiplied", False))
autotiling = bool(info.get("autotiling", tile_rows_log2 == tile_cols_log2 == 0))
icc_profile = info.get("icc_profile", im.info.get("icc_profile"))
exif_orientation = 1
if exif := info.get("exif"):
if isinstance(exif, Image.Exif):
exif_data = exif
else:
exif_data = Image.Exif()
exif_data.load(exif)
if ExifTags.Base.Orientation in exif_data:
exif_orientation = exif_data.pop(ExifTags.Base.Orientation)
exif = exif_data.tobytes() if exif_data else b""
elif isinstance(exif, Image.Exif):
exif = exif_data.tobytes()
xmp = info.get("xmp")
if isinstance(xmp, str):
xmp = xmp.encode("utf-8")
advanced = info.get("advanced")
if advanced is not None:
if isinstance(advanced, dict):
advanced = advanced.items()
try:
advanced = tuple(advanced)
except TypeError:
invalid = True
else:
invalid = any(not isinstance(v, tuple) or len(v) != 2 for v in advanced)
if invalid:
msg = (
"advanced codec options must be a dict of key-value string "
"pairs or a series of key-value two-tuples"
)
raise ValueError(msg)
# Setup the AVIF encoder
enc = _avif.AvifEncoder(
im.size,
subsampling,
quality,
speed,
max_threads,
codec,
range_,
tile_rows_log2,
tile_cols_log2,
alpha_premultiplied,
autotiling,
icc_profile or b"",
exif or b"",
exif_orientation,
xmp or b"",
advanced,
)
# Add each frame
frame_idx = 0
frame_duration = 0
cur_idx = im.tell()
is_single_frame = total == 1
try:
for ims in [im] + append_images:
# Get number of frames in this image
nfr = getattr(ims, "n_frames", 1)
for idx in range(nfr):
ims.seek(idx)
# Make sure image mode is supported
frame = ims
rawmode = ims.mode
if ims.mode not in {"RGB", "RGBA"}:
rawmode = "RGBA" if ims.has_transparency_data else "RGB"
frame = ims.convert(rawmode)
# Update frame duration
if isinstance(duration, (list, tuple)):
frame_duration = duration[frame_idx]
else:
frame_duration = duration
# Append the frame to the animation encoder
enc.add(
frame.tobytes("raw", rawmode),
frame_duration,
frame.size,
rawmode,
is_single_frame,
)
# Update frame index
frame_idx += 1
if not save_all:
break
finally:
im.seek(cur_idx)
# Get the final output from the encoder
data = enc.finish()
if data is None:
msg = "cannot write file as AVIF (encoder returned None)"
raise OSError(msg)
fp.write(data)
Image.register_open(AvifImageFile.format, AvifImageFile, _accept)
if SUPPORTED:
Image.register_save(AvifImageFile.format, _save)
Image.register_save_all(AvifImageFile.format, _save_all)
Image.register_extensions(AvifImageFile.format, [".avif", ".avifs"])
Image.register_mime(AvifImageFile.format, "image/avif")

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#
# The Python Imaging Library
# $Id$
#
# bitmap distribution font (bdf) file parser
#
# history:
# 1996-05-16 fl created (as bdf2pil)
# 1997-08-25 fl converted to FontFile driver
# 2001-05-25 fl removed bogus __init__ call
# 2002-11-20 fl robustification (from Kevin Cazabon, Dmitry Vasiliev)
# 2003-04-22 fl more robustification (from Graham Dumpleton)
#
# Copyright (c) 1997-2003 by Secret Labs AB.
# Copyright (c) 1997-2003 by Fredrik Lundh.
#
# See the README file for information on usage and redistribution.
#
"""
Parse X Bitmap Distribution Format (BDF)
"""
from __future__ import annotations
from typing import BinaryIO
from . import FontFile, Image
def bdf_char(
f: BinaryIO,
) -> (
tuple[
str,
int,
tuple[tuple[int, int], tuple[int, int, int, int], tuple[int, int, int, int]],
Image.Image,
]
| None
):
# skip to STARTCHAR
while True:
s = f.readline()
if not s:
return None
if s.startswith(b"STARTCHAR"):
break
id = s[9:].strip().decode("ascii")
# load symbol properties
props = {}
while True:
s = f.readline()
if not s or s.startswith(b"BITMAP"):
break
i = s.find(b" ")
props[s[:i].decode("ascii")] = s[i + 1 : -1].decode("ascii")
# load bitmap
bitmap = bytearray()
while True:
s = f.readline()
if not s or s.startswith(b"ENDCHAR"):
break
bitmap += s[:-1]
# The word BBX
# followed by the width in x (BBw), height in y (BBh),
# and x and y displacement (BBxoff0, BByoff0)
# of the lower left corner from the origin of the character.
width, height, x_disp, y_disp = (int(p) for p in props["BBX"].split())
# The word DWIDTH
# followed by the width in x and y of the character in device pixels.
dwx, dwy = (int(p) for p in props["DWIDTH"].split())
bbox = (
(dwx, dwy),
(x_disp, -y_disp - height, width + x_disp, -y_disp),
(0, 0, width, height),
)
try:
im = Image.frombytes("1", (width, height), bitmap, "hex", "1")
except ValueError:
# deal with zero-width characters
im = Image.new("1", (width, height))
return id, int(props["ENCODING"]), bbox, im
class BdfFontFile(FontFile.FontFile):
"""Font file plugin for the X11 BDF format."""
def __init__(self, fp: BinaryIO) -> None:
super().__init__()
s = fp.readline()
if not s.startswith(b"STARTFONT 2.1"):
msg = "not a valid BDF file"
raise SyntaxError(msg)
props = {}
comments = []
while True:
s = fp.readline()
if not s or s.startswith(b"ENDPROPERTIES"):
break
i = s.find(b" ")
props[s[:i].decode("ascii")] = s[i + 1 : -1].decode("ascii")
if s[:i] in [b"COMMENT", b"COPYRIGHT"]:
if s.find(b"LogicalFontDescription") < 0:
comments.append(s[i + 1 : -1].decode("ascii"))
while True:
c = bdf_char(fp)
if not c:
break
id, ch, (xy, dst, src), im = c
if 0 <= ch < len(self.glyph):
self.glyph[ch] = xy, dst, src, im

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"""
Blizzard Mipmap Format (.blp)
Jerome Leclanche <jerome@leclan.ch>
The contents of this file are hereby released in the public domain (CC0)
Full text of the CC0 license:
https://creativecommons.org/publicdomain/zero/1.0/
BLP1 files, used mostly in Warcraft III, are not fully supported.
All types of BLP2 files used in World of Warcraft are supported.
The BLP file structure consists of a header, up to 16 mipmaps of the
texture
Texture sizes must be powers of two, though the two dimensions do
not have to be equal; 512x256 is valid, but 512x200 is not.
The first mipmap (mipmap #0) is the full size image; each subsequent
mipmap halves both dimensions. The final mipmap should be 1x1.
BLP files come in many different flavours:
* JPEG-compressed (type == 0) - only supported for BLP1.
* RAW images (type == 1, encoding == 1). Each mipmap is stored as an
array of 8-bit values, one per pixel, left to right, top to bottom.
Each value is an index to the palette.
* DXT-compressed (type == 1, encoding == 2):
- DXT1 compression is used if alpha_encoding == 0.
- An additional alpha bit is used if alpha_depth == 1.
- DXT3 compression is used if alpha_encoding == 1.
- DXT5 compression is used if alpha_encoding == 7.
"""
from __future__ import annotations
import abc
import os
import struct
from enum import IntEnum
from io import BytesIO
from typing import IO
from . import Image, ImageFile
class Format(IntEnum):
JPEG = 0
class Encoding(IntEnum):
UNCOMPRESSED = 1
DXT = 2
UNCOMPRESSED_RAW_BGRA = 3
class AlphaEncoding(IntEnum):
DXT1 = 0
DXT3 = 1
DXT5 = 7
def unpack_565(i: int) -> tuple[int, int, int]:
return ((i >> 11) & 0x1F) << 3, ((i >> 5) & 0x3F) << 2, (i & 0x1F) << 3
def decode_dxt1(
data: bytes, alpha: bool = False
) -> tuple[bytearray, bytearray, bytearray, bytearray]:
"""
input: one "row" of data (i.e. will produce 4*width pixels)
"""
blocks = len(data) // 8 # number of blocks in row
ret = (bytearray(), bytearray(), bytearray(), bytearray())
for block_index in range(blocks):
# Decode next 8-byte block.
idx = block_index * 8
color0, color1, bits = struct.unpack_from("<HHI", data, idx)
r0, g0, b0 = unpack_565(color0)
r1, g1, b1 = unpack_565(color1)
# Decode this block into 4x4 pixels
# Accumulate the results onto our 4 row accumulators
for j in range(4):
for i in range(4):
# get next control op and generate a pixel
control = bits & 3
bits = bits >> 2
a = 0xFF
if control == 0:
r, g, b = r0, g0, b0
elif control == 1:
r, g, b = r1, g1, b1
elif control == 2:
if color0 > color1:
r = (2 * r0 + r1) // 3
g = (2 * g0 + g1) // 3
b = (2 * b0 + b1) // 3
else:
r = (r0 + r1) // 2
g = (g0 + g1) // 2
b = (b0 + b1) // 2
elif control == 3:
if color0 > color1:
r = (2 * r1 + r0) // 3
g = (2 * g1 + g0) // 3
b = (2 * b1 + b0) // 3
else:
r, g, b, a = 0, 0, 0, 0
if alpha:
ret[j].extend([r, g, b, a])
else:
ret[j].extend([r, g, b])
return ret
def decode_dxt3(data: bytes) -> tuple[bytearray, bytearray, bytearray, bytearray]:
"""
input: one "row" of data (i.e. will produce 4*width pixels)
"""
blocks = len(data) // 16 # number of blocks in row
ret = (bytearray(), bytearray(), bytearray(), bytearray())
for block_index in range(blocks):
idx = block_index * 16
block = data[idx : idx + 16]
# Decode next 16-byte block.
bits = struct.unpack_from("<8B", block)
color0, color1 = struct.unpack_from("<HH", block, 8)
(code,) = struct.unpack_from("<I", block, 12)
r0, g0, b0 = unpack_565(color0)
r1, g1, b1 = unpack_565(color1)
for j in range(4):
high = False # Do we want the higher bits?
for i in range(4):
alphacode_index = (4 * j + i) // 2
a = bits[alphacode_index]
if high:
high = False
a >>= 4
else:
high = True
a &= 0xF
a *= 17 # We get a value between 0 and 15
color_code = (code >> 2 * (4 * j + i)) & 0x03
if color_code == 0:
r, g, b = r0, g0, b0
elif color_code == 1:
r, g, b = r1, g1, b1
elif color_code == 2:
r = (2 * r0 + r1) // 3
g = (2 * g0 + g1) // 3
b = (2 * b0 + b1) // 3
elif color_code == 3:
r = (2 * r1 + r0) // 3
g = (2 * g1 + g0) // 3
b = (2 * b1 + b0) // 3
ret[j].extend([r, g, b, a])
return ret
def decode_dxt5(data: bytes) -> tuple[bytearray, bytearray, bytearray, bytearray]:
"""
input: one "row" of data (i.e. will produce 4 * width pixels)
"""
blocks = len(data) // 16 # number of blocks in row
ret = (bytearray(), bytearray(), bytearray(), bytearray())
for block_index in range(blocks):
idx = block_index * 16
block = data[idx : idx + 16]
# Decode next 16-byte block.
a0, a1 = struct.unpack_from("<BB", block)
bits = struct.unpack_from("<6B", block, 2)
alphacode1 = bits[2] | (bits[3] << 8) | (bits[4] << 16) | (bits[5] << 24)
alphacode2 = bits[0] | (bits[1] << 8)
color0, color1 = struct.unpack_from("<HH", block, 8)
(code,) = struct.unpack_from("<I", block, 12)
r0, g0, b0 = unpack_565(color0)
r1, g1, b1 = unpack_565(color1)
for j in range(4):
for i in range(4):
# get next control op and generate a pixel
alphacode_index = 3 * (4 * j + i)
if alphacode_index <= 12:
alphacode = (alphacode2 >> alphacode_index) & 0x07
elif alphacode_index == 15:
alphacode = (alphacode2 >> 15) | ((alphacode1 << 1) & 0x06)
else: # alphacode_index >= 18 and alphacode_index <= 45
alphacode = (alphacode1 >> (alphacode_index - 16)) & 0x07
if alphacode == 0:
a = a0
elif alphacode == 1:
a = a1
elif a0 > a1:
a = ((8 - alphacode) * a0 + (alphacode - 1) * a1) // 7
elif alphacode == 6:
a = 0
elif alphacode == 7:
a = 255
else:
a = ((6 - alphacode) * a0 + (alphacode - 1) * a1) // 5
color_code = (code >> 2 * (4 * j + i)) & 0x03
if color_code == 0:
r, g, b = r0, g0, b0
elif color_code == 1:
r, g, b = r1, g1, b1
elif color_code == 2:
r = (2 * r0 + r1) // 3
g = (2 * g0 + g1) // 3
b = (2 * b0 + b1) // 3
elif color_code == 3:
r = (2 * r1 + r0) // 3
g = (2 * g1 + g0) // 3
b = (2 * b1 + b0) // 3
ret[j].extend([r, g, b, a])
return ret
class BLPFormatError(NotImplementedError):
pass
def _accept(prefix: bytes) -> bool:
return prefix.startswith((b"BLP1", b"BLP2"))
class BlpImageFile(ImageFile.ImageFile):
"""
Blizzard Mipmap Format
"""
format = "BLP"
format_description = "Blizzard Mipmap Format"
def _open(self) -> None:
self.magic = self.fp.read(4)
if not _accept(self.magic):
msg = f"Bad BLP magic {repr(self.magic)}"
raise BLPFormatError(msg)
compression = struct.unpack("<i", self.fp.read(4))[0]
if self.magic == b"BLP1":
alpha = struct.unpack("<I", self.fp.read(4))[0] != 0
else:
encoding = struct.unpack("<b", self.fp.read(1))[0]
alpha = struct.unpack("<b", self.fp.read(1))[0] != 0
alpha_encoding = struct.unpack("<b", self.fp.read(1))[0]
self.fp.seek(1, os.SEEK_CUR) # mips
self._size = struct.unpack("<II", self.fp.read(8))
args: tuple[int, int, bool] | tuple[int, int, bool, int]
if self.magic == b"BLP1":
encoding = struct.unpack("<i", self.fp.read(4))[0]
self.fp.seek(4, os.SEEK_CUR) # subtype
args = (compression, encoding, alpha)
offset = 28
else:
args = (compression, encoding, alpha, alpha_encoding)
offset = 20
decoder = self.magic.decode()
self._mode = "RGBA" if alpha else "RGB"
self.tile = [ImageFile._Tile(decoder, (0, 0) + self.size, offset, args)]
class _BLPBaseDecoder(abc.ABC, ImageFile.PyDecoder):
_pulls_fd = True
def decode(self, buffer: bytes | Image.SupportsArrayInterface) -> tuple[int, int]:
try:
self._read_header()
self._load()
except struct.error as e:
msg = "Truncated BLP file"
raise OSError(msg) from e
return -1, 0
@abc.abstractmethod
def _load(self) -> None:
pass
def _read_header(self) -> None:
self._offsets = struct.unpack("<16I", self._safe_read(16 * 4))
self._lengths = struct.unpack("<16I", self._safe_read(16 * 4))
def _safe_read(self, length: int) -> bytes:
assert self.fd is not None
return ImageFile._safe_read(self.fd, length)
def _read_palette(self) -> list[tuple[int, int, int, int]]:
ret = []
for i in range(256):
try:
b, g, r, a = struct.unpack("<4B", self._safe_read(4))
except struct.error:
break
ret.append((b, g, r, a))
return ret
def _read_bgra(
self, palette: list[tuple[int, int, int, int]], alpha: bool
) -> bytearray:
data = bytearray()
_data = BytesIO(self._safe_read(self._lengths[0]))
while True:
try:
(offset,) = struct.unpack("<B", _data.read(1))
except struct.error:
break
b, g, r, a = palette[offset]
d: tuple[int, ...] = (r, g, b)
if alpha:
d += (a,)
data.extend(d)
return data
class BLP1Decoder(_BLPBaseDecoder):
def _load(self) -> None:
self._compression, self._encoding, alpha = self.args
if self._compression == Format.JPEG:
self._decode_jpeg_stream()
elif self._compression == 1:
if self._encoding in (4, 5):
palette = self._read_palette()
data = self._read_bgra(palette, alpha)
self.set_as_raw(data)
else:
msg = f"Unsupported BLP encoding {repr(self._encoding)}"
raise BLPFormatError(msg)
else:
msg = f"Unsupported BLP compression {repr(self._encoding)}"
raise BLPFormatError(msg)
def _decode_jpeg_stream(self) -> None:
from .JpegImagePlugin import JpegImageFile
(jpeg_header_size,) = struct.unpack("<I", self._safe_read(4))
jpeg_header = self._safe_read(jpeg_header_size)
assert self.fd is not None
self._safe_read(self._offsets[0] - self.fd.tell()) # What IS this?
data = self._safe_read(self._lengths[0])
data = jpeg_header + data
image = JpegImageFile(BytesIO(data))
Image._decompression_bomb_check(image.size)
if image.mode == "CMYK":
args = image.tile[0].args
assert isinstance(args, tuple)
image.tile = [image.tile[0]._replace(args=(args[0], "CMYK"))]
self.set_as_raw(image.convert("RGB").tobytes(), "BGR")
class BLP2Decoder(_BLPBaseDecoder):
def _load(self) -> None:
self._compression, self._encoding, alpha, self._alpha_encoding = self.args
palette = self._read_palette()
assert self.fd is not None
self.fd.seek(self._offsets[0])
if self._compression == 1:
# Uncompressed or DirectX compression
if self._encoding == Encoding.UNCOMPRESSED:
data = self._read_bgra(palette, alpha)
elif self._encoding == Encoding.DXT:
data = bytearray()
if self._alpha_encoding == AlphaEncoding.DXT1:
linesize = (self.state.xsize + 3) // 4 * 8
for yb in range((self.state.ysize + 3) // 4):
for d in decode_dxt1(self._safe_read(linesize), alpha):
data += d
elif self._alpha_encoding == AlphaEncoding.DXT3:
linesize = (self.state.xsize + 3) // 4 * 16
for yb in range((self.state.ysize + 3) // 4):
for d in decode_dxt3(self._safe_read(linesize)):
data += d
elif self._alpha_encoding == AlphaEncoding.DXT5:
linesize = (self.state.xsize + 3) // 4 * 16
for yb in range((self.state.ysize + 3) // 4):
for d in decode_dxt5(self._safe_read(linesize)):
data += d
else:
msg = f"Unsupported alpha encoding {repr(self._alpha_encoding)}"
raise BLPFormatError(msg)
else:
msg = f"Unknown BLP encoding {repr(self._encoding)}"
raise BLPFormatError(msg)
else:
msg = f"Unknown BLP compression {repr(self._compression)}"
raise BLPFormatError(msg)
self.set_as_raw(data)
class BLPEncoder(ImageFile.PyEncoder):
_pushes_fd = True
def _write_palette(self) -> bytes:
data = b""
assert self.im is not None
palette = self.im.getpalette("RGBA", "RGBA")
for i in range(len(palette) // 4):
r, g, b, a = palette[i * 4 : (i + 1) * 4]
data += struct.pack("<4B", b, g, r, a)
while len(data) < 256 * 4:
data += b"\x00" * 4
return data
def encode(self, bufsize: int) -> tuple[int, int, bytes]:
palette_data = self._write_palette()
offset = 20 + 16 * 4 * 2 + len(palette_data)
data = struct.pack("<16I", offset, *((0,) * 15))
assert self.im is not None
w, h = self.im.size
data += struct.pack("<16I", w * h, *((0,) * 15))
data += palette_data
for y in range(h):
for x in range(w):
data += struct.pack("<B", self.im.getpixel((x, y)))
return len(data), 0, data
def _save(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
if im.mode != "P":
msg = "Unsupported BLP image mode"
raise ValueError(msg)
magic = b"BLP1" if im.encoderinfo.get("blp_version") == "BLP1" else b"BLP2"
fp.write(magic)
assert im.palette is not None
fp.write(struct.pack("<i", 1)) # Uncompressed or DirectX compression
alpha_depth = 1 if im.palette.mode == "RGBA" else 0
if magic == b"BLP1":
fp.write(struct.pack("<L", alpha_depth))
else:
fp.write(struct.pack("<b", Encoding.UNCOMPRESSED))
fp.write(struct.pack("<b", alpha_depth))
fp.write(struct.pack("<b", 0)) # alpha encoding
fp.write(struct.pack("<b", 0)) # mips
fp.write(struct.pack("<II", *im.size))
if magic == b"BLP1":
fp.write(struct.pack("<i", 5))
fp.write(struct.pack("<i", 0))
ImageFile._save(im, fp, [ImageFile._Tile("BLP", (0, 0) + im.size, 0, im.mode)])
Image.register_open(BlpImageFile.format, BlpImageFile, _accept)
Image.register_extension(BlpImageFile.format, ".blp")
Image.register_decoder("BLP1", BLP1Decoder)
Image.register_decoder("BLP2", BLP2Decoder)
Image.register_save(BlpImageFile.format, _save)
Image.register_encoder("BLP", BLPEncoder)

515
venv/lib/python3.10/site-packages/PIL/BmpImagePlugin.py Normal file
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#
# The Python Imaging Library.
# $Id$
#
# BMP file handler
#
# Windows (and OS/2) native bitmap storage format.
#
# history:
# 1995-09-01 fl Created
# 1996-04-30 fl Added save
# 1997-08-27 fl Fixed save of 1-bit images
# 1998-03-06 fl Load P images as L where possible
# 1998-07-03 fl Load P images as 1 where possible
# 1998-12-29 fl Handle small palettes
# 2002-12-30 fl Fixed load of 1-bit palette images
# 2003-04-21 fl Fixed load of 1-bit monochrome images
# 2003-04-23 fl Added limited support for BI_BITFIELDS compression
#
# Copyright (c) 1997-2003 by Secret Labs AB
# Copyright (c) 1995-2003 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
import os
from typing import IO, Any
from . import Image, ImageFile, ImagePalette
from ._binary import i16le as i16
from ._binary import i32le as i32
from ._binary import o8
from ._binary import o16le as o16
from ._binary import o32le as o32
#
# --------------------------------------------------------------------
# Read BMP file
BIT2MODE = {
# bits => mode, rawmode
1: ("P", "P;1"),
4: ("P", "P;4"),
8: ("P", "P"),
16: ("RGB", "BGR;15"),
24: ("RGB", "BGR"),
32: ("RGB", "BGRX"),
}
USE_RAW_ALPHA = False
def _accept(prefix: bytes) -> bool:
return prefix.startswith(b"BM")
def _dib_accept(prefix: bytes) -> bool:
return i32(prefix) in [12, 40, 52, 56, 64, 108, 124]
# =============================================================================
# Image plugin for the Windows BMP format.
# =============================================================================
class BmpImageFile(ImageFile.ImageFile):
"""Image plugin for the Windows Bitmap format (BMP)"""
# ------------------------------------------------------------- Description
format_description = "Windows Bitmap"
format = "BMP"
# -------------------------------------------------- BMP Compression values
COMPRESSIONS = {"RAW": 0, "RLE8": 1, "RLE4": 2, "BITFIELDS": 3, "JPEG": 4, "PNG": 5}
for k, v in COMPRESSIONS.items():
vars()[k] = v
def _bitmap(self, header: int = 0, offset: int = 0) -> None:
"""Read relevant info about the BMP"""
read, seek = self.fp.read, self.fp.seek
if header:
seek(header)
# read bmp header size @offset 14 (this is part of the header size)
file_info: dict[str, bool | int | tuple[int, ...]] = {
"header_size": i32(read(4)),
"direction": -1,
}
# -------------------- If requested, read header at a specific position
# read the rest of the bmp header, without its size
assert isinstance(file_info["header_size"], int)
header_data = ImageFile._safe_read(self.fp, file_info["header_size"] - 4)
# ------------------------------- Windows Bitmap v2, IBM OS/2 Bitmap v1
# ----- This format has different offsets because of width/height types
# 12: BITMAPCOREHEADER/OS21XBITMAPHEADER
if file_info["header_size"] == 12:
file_info["width"] = i16(header_data, 0)
file_info["height"] = i16(header_data, 2)
file_info["planes"] = i16(header_data, 4)
file_info["bits"] = i16(header_data, 6)
file_info["compression"] = self.COMPRESSIONS["RAW"]
file_info["palette_padding"] = 3
# --------------------------------------------- Windows Bitmap v3 to v5
# 40: BITMAPINFOHEADER
# 52: BITMAPV2HEADER
# 56: BITMAPV3HEADER
# 64: BITMAPCOREHEADER2/OS22XBITMAPHEADER
# 108: BITMAPV4HEADER
# 124: BITMAPV5HEADER
elif file_info["header_size"] in (40, 52, 56, 64, 108, 124):
file_info["y_flip"] = header_data[7] == 0xFF
file_info["direction"] = 1 if file_info["y_flip"] else -1
file_info["width"] = i32(header_data, 0)
file_info["height"] = (
i32(header_data, 4)
if not file_info["y_flip"]
else 2**32 - i32(header_data, 4)
)
file_info["planes"] = i16(header_data, 8)
file_info["bits"] = i16(header_data, 10)
file_info["compression"] = i32(header_data, 12)
# byte size of pixel data
file_info["data_size"] = i32(header_data, 16)
file_info["pixels_per_meter"] = (
i32(header_data, 20),
i32(header_data, 24),
)
file_info["colors"] = i32(header_data, 28)
file_info["palette_padding"] = 4
assert isinstance(file_info["pixels_per_meter"], tuple)
self.info["dpi"] = tuple(x / 39.3701 for x in file_info["pixels_per_meter"])
if file_info["compression"] == self.COMPRESSIONS["BITFIELDS"]:
masks = ["r_mask", "g_mask", "b_mask"]
if len(header_data) >= 48:
if len(header_data) >= 52:
masks.append("a_mask")
else:
file_info["a_mask"] = 0x0
for idx, mask in enumerate(masks):
file_info[mask] = i32(header_data, 36 + idx * 4)
else:
# 40 byte headers only have the three components in the
# bitfields masks, ref:
# https://msdn.microsoft.com/en-us/library/windows/desktop/dd183376(v=vs.85).aspx
# See also
# https://github.com/python-pillow/Pillow/issues/1293
# There is a 4th component in the RGBQuad, in the alpha
# location, but it is listed as a reserved component,
# and it is not generally an alpha channel
file_info["a_mask"] = 0x0
for mask in masks:
file_info[mask] = i32(read(4))
assert isinstance(file_info["r_mask"], int)
assert isinstance(file_info["g_mask"], int)
assert isinstance(file_info["b_mask"], int)
assert isinstance(file_info["a_mask"], int)
file_info["rgb_mask"] = (
file_info["r_mask"],
file_info["g_mask"],
file_info["b_mask"],
)
file_info["rgba_mask"] = (
file_info["r_mask"],
file_info["g_mask"],
file_info["b_mask"],
file_info["a_mask"],
)
else:
msg = f"Unsupported BMP header type ({file_info['header_size']})"
raise OSError(msg)
# ------------------ Special case : header is reported 40, which
# ---------------------- is shorter than real size for bpp >= 16
assert isinstance(file_info["width"], int)
assert isinstance(file_info["height"], int)
self._size = file_info["width"], file_info["height"]
# ------- If color count was not found in the header, compute from bits
assert isinstance(file_info["bits"], int)
file_info["colors"] = (
file_info["colors"]
if file_info.get("colors", 0)
else (1 << file_info["bits"])
)
assert isinstance(file_info["colors"], int)
if offset == 14 + file_info["header_size"] and file_info["bits"] <= 8:
offset += 4 * file_info["colors"]
# ---------------------- Check bit depth for unusual unsupported values
self._mode, raw_mode = BIT2MODE.get(file_info["bits"], ("", ""))
if not self.mode:
msg = f"Unsupported BMP pixel depth ({file_info['bits']})"
raise OSError(msg)
# ---------------- Process BMP with Bitfields compression (not palette)
decoder_name = "raw"
if file_info["compression"] == self.COMPRESSIONS["BITFIELDS"]:
SUPPORTED: dict[int, list[tuple[int, ...]]] = {
32: [
(0xFF0000, 0xFF00, 0xFF, 0x0),
(0xFF000000, 0xFF0000, 0xFF00, 0x0),
(0xFF000000, 0xFF00, 0xFF, 0x0),
(0xFF000000, 0xFF0000, 0xFF00, 0xFF),
(0xFF, 0xFF00, 0xFF0000, 0xFF000000),
(0xFF0000, 0xFF00, 0xFF, 0xFF000000),
(0xFF000000, 0xFF00, 0xFF, 0xFF0000),
(0x0, 0x0, 0x0, 0x0),
],
24: [(0xFF0000, 0xFF00, 0xFF)],
16: [(0xF800, 0x7E0, 0x1F), (0x7C00, 0x3E0, 0x1F)],
}
MASK_MODES = {
(32, (0xFF0000, 0xFF00, 0xFF, 0x0)): "BGRX",
(32, (0xFF000000, 0xFF0000, 0xFF00, 0x0)): "XBGR",
(32, (0xFF000000, 0xFF00, 0xFF, 0x0)): "BGXR",
(32, (0xFF000000, 0xFF0000, 0xFF00, 0xFF)): "ABGR",
(32, (0xFF, 0xFF00, 0xFF0000, 0xFF000000)): "RGBA",
(32, (0xFF0000, 0xFF00, 0xFF, 0xFF000000)): "BGRA",
(32, (0xFF000000, 0xFF00, 0xFF, 0xFF0000)): "BGAR",
(32, (0x0, 0x0, 0x0, 0x0)): "BGRA",
(24, (0xFF0000, 0xFF00, 0xFF)): "BGR",
(16, (0xF800, 0x7E0, 0x1F)): "BGR;16",
(16, (0x7C00, 0x3E0, 0x1F)): "BGR;15",
}
if file_info["bits"] in SUPPORTED:
if (
file_info["bits"] == 32
and file_info["rgba_mask"] in SUPPORTED[file_info["bits"]]
):
assert isinstance(file_info["rgba_mask"], tuple)
raw_mode = MASK_MODES[(file_info["bits"], file_info["rgba_mask"])]
self._mode = "RGBA" if "A" in raw_mode else self.mode
elif (
file_info["bits"] in (24, 16)
and file_info["rgb_mask"] in SUPPORTED[file_info["bits"]]
):
assert isinstance(file_info["rgb_mask"], tuple)
raw_mode = MASK_MODES[(file_info["bits"], file_info["rgb_mask"])]
else:
msg = "Unsupported BMP bitfields layout"
raise OSError(msg)
else:
msg = "Unsupported BMP bitfields layout"
raise OSError(msg)
elif file_info["compression"] == self.COMPRESSIONS["RAW"]:
if file_info["bits"] == 32 and (
header == 22 or USE_RAW_ALPHA # 32-bit .cur offset
):
raw_mode, self._mode = "BGRA", "RGBA"
elif file_info["compression"] in (
self.COMPRESSIONS["RLE8"],
self.COMPRESSIONS["RLE4"],
):
decoder_name = "bmp_rle"
else:
msg = f"Unsupported BMP compression ({file_info['compression']})"
raise OSError(msg)
# --------------- Once the header is processed, process the palette/LUT
if self.mode == "P": # Paletted for 1, 4 and 8 bit images
# ---------------------------------------------------- 1-bit images
if not (0 < file_info["colors"] <= 65536):
msg = f"Unsupported BMP Palette size ({file_info['colors']})"
raise OSError(msg)
else:
assert isinstance(file_info["palette_padding"], int)
padding = file_info["palette_padding"]
palette = read(padding * file_info["colors"])
grayscale = True
indices = (
(0, 255)
if file_info["colors"] == 2
else list(range(file_info["colors"]))
)
# ----------------- Check if grayscale and ignore palette if so
for ind, val in enumerate(indices):
rgb = palette[ind * padding : ind * padding + 3]
if rgb != o8(val) * 3:
grayscale = False
# ------- If all colors are gray, white or black, ditch palette
if grayscale:
self._mode = "1" if file_info["colors"] == 2 else "L"
raw_mode = self.mode
else:
self._mode = "P"
self.palette = ImagePalette.raw(
"BGRX" if padding == 4 else "BGR", palette
)
# ---------------------------- Finally set the tile data for the plugin
self.info["compression"] = file_info["compression"]
args: list[Any] = [raw_mode]
if decoder_name == "bmp_rle":
args.append(file_info["compression"] == self.COMPRESSIONS["RLE4"])
else:
assert isinstance(file_info["width"], int)
args.append(((file_info["width"] * file_info["bits"] + 31) >> 3) & (~3))
args.append(file_info["direction"])
self.tile = [
ImageFile._Tile(
decoder_name,
(0, 0, file_info["width"], file_info["height"]),
offset or self.fp.tell(),
tuple(args),
)
]
def _open(self) -> None:
"""Open file, check magic number and read header"""
# read 14 bytes: magic number, filesize, reserved, header final offset
head_data = self.fp.read(14)
# choke if the file does not have the required magic bytes
if not _accept(head_data):
msg = "Not a BMP file"
raise SyntaxError(msg)
# read the start position of the BMP image data (u32)
offset = i32(head_data, 10)
# load bitmap information (offset=raster info)
self._bitmap(offset=offset)
class BmpRleDecoder(ImageFile.PyDecoder):
_pulls_fd = True
def decode(self, buffer: bytes | Image.SupportsArrayInterface) -> tuple[int, int]:
assert self.fd is not None
rle4 = self.args[1]
data = bytearray()
x = 0
dest_length = self.state.xsize * self.state.ysize
while len(data) < dest_length:
pixels = self.fd.read(1)
byte = self.fd.read(1)
if not pixels or not byte:
break
num_pixels = pixels[0]
if num_pixels:
# encoded mode
if x + num_pixels > self.state.xsize:
# Too much data for row
num_pixels = max(0, self.state.xsize - x)
if rle4:
first_pixel = o8(byte[0] >> 4)
second_pixel = o8(byte[0] & 0x0F)
for index in range(num_pixels):
if index % 2 == 0:
data += first_pixel
else:
data += second_pixel
else:
data += byte * num_pixels
x += num_pixels
else:
if byte[0] == 0:
# end of line
while len(data) % self.state.xsize != 0:
data += b"\x00"
x = 0
elif byte[0] == 1:
# end of bitmap
break
elif byte[0] == 2:
# delta
bytes_read = self.fd.read(2)
if len(bytes_read) < 2:
break
right, up = self.fd.read(2)
data += b"\x00" * (right + up * self.state.xsize)
x = len(data) % self.state.xsize
else:
# absolute mode
if rle4:
# 2 pixels per byte
byte_count = byte[0] // 2
bytes_read = self.fd.read(byte_count)
for byte_read in bytes_read:
data += o8(byte_read >> 4)
data += o8(byte_read & 0x0F)
else:
byte_count = byte[0]
bytes_read = self.fd.read(byte_count)
data += bytes_read
if len(bytes_read) < byte_count:
break
x += byte[0]
# align to 16-bit word boundary
if self.fd.tell() % 2 != 0:
self.fd.seek(1, os.SEEK_CUR)
rawmode = "L" if self.mode == "L" else "P"
self.set_as_raw(bytes(data), rawmode, (0, self.args[-1]))
return -1, 0
# =============================================================================
# Image plugin for the DIB format (BMP alias)
# =============================================================================
class DibImageFile(BmpImageFile):
format = "DIB"
format_description = "Windows Bitmap"
def _open(self) -> None:
self._bitmap()
#
# --------------------------------------------------------------------
# Write BMP file
SAVE = {
"1": ("1", 1, 2),
"L": ("L", 8, 256),
"P": ("P", 8, 256),
"RGB": ("BGR", 24, 0),
"RGBA": ("BGRA", 32, 0),
}
def _dib_save(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
_save(im, fp, filename, False)
def _save(
im: Image.Image, fp: IO[bytes], filename: str | bytes, bitmap_header: bool = True
) -> None:
try:
rawmode, bits, colors = SAVE[im.mode]
except KeyError as e:
msg = f"cannot write mode {im.mode} as BMP"
raise OSError(msg) from e
info = im.encoderinfo
dpi = info.get("dpi", (96, 96))
# 1 meter == 39.3701 inches
ppm = tuple(int(x * 39.3701 + 0.5) for x in dpi)
stride = ((im.size[0] * bits + 7) // 8 + 3) & (~3)
header = 40 # or 64 for OS/2 version 2
image = stride * im.size[1]
if im.mode == "1":
palette = b"".join(o8(i) * 3 + b"\x00" for i in (0, 255))
elif im.mode == "L":
palette = b"".join(o8(i) * 3 + b"\x00" for i in range(256))
elif im.mode == "P":
palette = im.im.getpalette("RGB", "BGRX")
colors = len(palette) // 4
else:
palette = None
# bitmap header
if bitmap_header:
offset = 14 + header + colors * 4
file_size = offset + image
if file_size > 2**32 - 1:
msg = "File size is too large for the BMP format"
raise ValueError(msg)
fp.write(
b"BM" # file type (magic)
+ o32(file_size) # file size
+ o32(0) # reserved
+ o32(offset) # image data offset
)
# bitmap info header
fp.write(
o32(header) # info header size
+ o32(im.size[0]) # width
+ o32(im.size[1]) # height
+ o16(1) # planes
+ o16(bits) # depth
+ o32(0) # compression (0=uncompressed)
+ o32(image) # size of bitmap
+ o32(ppm[0]) # resolution
+ o32(ppm[1]) # resolution
+ o32(colors) # colors used
+ o32(colors) # colors important
)
fp.write(b"\0" * (header - 40)) # padding (for OS/2 format)
if palette:
fp.write(palette)
ImageFile._save(
im, fp, [ImageFile._Tile("raw", (0, 0) + im.size, 0, (rawmode, stride, -1))]
)
#
# --------------------------------------------------------------------
# Registry
Image.register_open(BmpImageFile.format, BmpImageFile, _accept)
Image.register_save(BmpImageFile.format, _save)
Image.register_extension(BmpImageFile.format, ".bmp")
Image.register_mime(BmpImageFile.format, "image/bmp")
Image.register_decoder("bmp_rle", BmpRleDecoder)
Image.register_open(DibImageFile.format, DibImageFile, _dib_accept)
Image.register_save(DibImageFile.format, _dib_save)
Image.register_extension(DibImageFile.format, ".dib")
Image.register_mime(DibImageFile.format, "image/bmp")

75
venv/lib/python3.10/site-packages/PIL/BufrStubImagePlugin.py Normal file
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#
# The Python Imaging Library
# $Id$
#
# BUFR stub adapter
#
# Copyright (c) 1996-2003 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
import os
from typing import IO
from . import Image, ImageFile
_handler = None
def register_handler(handler: ImageFile.StubHandler | None) -> None:
"""
Install application-specific BUFR image handler.
:param handler: Handler object.
"""
global _handler
_handler = handler
# --------------------------------------------------------------------
# Image adapter
def _accept(prefix: bytes) -> bool:
return prefix.startswith((b"BUFR", b"ZCZC"))
class BufrStubImageFile(ImageFile.StubImageFile):
format = "BUFR"
format_description = "BUFR"
def _open(self) -> None:
if not _accept(self.fp.read(4)):
msg = "Not a BUFR file"
raise SyntaxError(msg)
self.fp.seek(-4, os.SEEK_CUR)
# make something up
self._mode = "F"
self._size = 1, 1
loader = self._load()
if loader:
loader.open(self)
def _load(self) -> ImageFile.StubHandler | None:
return _handler
def _save(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
if _handler is None or not hasattr(_handler, "save"):
msg = "BUFR save handler not installed"
raise OSError(msg)
_handler.save(im, fp, filename)
# --------------------------------------------------------------------
# Registry
Image.register_open(BufrStubImageFile.format, BufrStubImageFile, _accept)
Image.register_save(BufrStubImageFile.format, _save)
Image.register_extension(BufrStubImageFile.format, ".bufr")

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venv/lib/python3.10/site-packages/PIL/ContainerIO.py Normal file
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#
# The Python Imaging Library.
# $Id$
#
# a class to read from a container file
#
# History:
# 1995-06-18 fl Created
# 1995-09-07 fl Added readline(), readlines()
#
# Copyright (c) 1997-2001 by Secret Labs AB
# Copyright (c) 1995 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
import io
from collections.abc import Iterable
from typing import IO, AnyStr, NoReturn
class ContainerIO(IO[AnyStr]):
"""
A file object that provides read access to a part of an existing
file (for example a TAR file).
"""
def __init__(self, file: IO[AnyStr], offset: int, length: int) -> None:
"""
Create file object.
:param file: Existing file.
:param offset: Start of region, in bytes.
:param length: Size of region, in bytes.
"""
self.fh: IO[AnyStr] = file
self.pos = 0
self.offset = offset
self.length = length
self.fh.seek(offset)
##
# Always false.
def isatty(self) -> bool:
return False
def seekable(self) -> bool:
return True
def seek(self, offset: int, mode: int = io.SEEK_SET) -> int:
"""
Move file pointer.
:param offset: Offset in bytes.
:param mode: Starting position. Use 0 for beginning of region, 1
for current offset, and 2 for end of region. You cannot move
the pointer outside the defined region.
:returns: Offset from start of region, in bytes.
"""
if mode == 1:
self.pos = self.pos + offset
elif mode == 2:
self.pos = self.length + offset
else:
self.pos = offset
# clamp
self.pos = max(0, min(self.pos, self.length))
self.fh.seek(self.offset + self.pos)
return self.pos
def tell(self) -> int:
"""
Get current file pointer.
:returns: Offset from start of region, in bytes.
"""
return self.pos
def readable(self) -> bool:
return True
def read(self, n: int = -1) -> AnyStr:
"""
Read data.
:param n: Number of bytes to read. If omitted, zero or negative,
read until end of region.
:returns: An 8-bit string.
"""
if n > 0:
n = min(n, self.length - self.pos)
else:
n = self.length - self.pos
if n <= 0: # EOF
return b"" if "b" in self.fh.mode else "" # type: ignore[return-value]
self.pos = self.pos + n
return self.fh.read(n)
def readline(self, n: int = -1) -> AnyStr:
"""
Read a line of text.
:param n: Number of bytes to read. If omitted, zero or negative,
read until end of line.
:returns: An 8-bit string.
"""
s: AnyStr = b"" if "b" in self.fh.mode else "" # type: ignore[assignment]
newline_character = b"\n" if "b" in self.fh.mode else "\n"
while True:
c = self.read(1)
if not c:
break
s = s + c
if c == newline_character or len(s) == n:
break
return s
def readlines(self, n: int | None = -1) -> list[AnyStr]:
"""
Read multiple lines of text.
:param n: Number of lines to read. If omitted, zero, negative or None,
read until end of region.
:returns: A list of 8-bit strings.
"""
lines = []
while True:
s = self.readline()
if not s:
break
lines.append(s)
if len(lines) == n:
break
return lines
def writable(self) -> bool:
return False
def write(self, b: AnyStr) -> NoReturn:
raise NotImplementedError()
def writelines(self, lines: Iterable[AnyStr]) -> NoReturn:
raise NotImplementedError()
def truncate(self, size: int | None = None) -> int:
raise NotImplementedError()
def __enter__(self) -> ContainerIO[AnyStr]:
return self
def __exit__(self, *args: object) -> None:
self.close()
def __iter__(self) -> ContainerIO[AnyStr]:
return self
def __next__(self) -> AnyStr:
line = self.readline()
if not line:
msg = "end of region"
raise StopIteration(msg)
return line
def fileno(self) -> int:
return self.fh.fileno()
def flush(self) -> None:
self.fh.flush()
def close(self) -> None:
self.fh.close()

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venv/lib/python3.10/site-packages/PIL/CurImagePlugin.py Normal file
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#
# The Python Imaging Library.
# $Id$
#
# Windows Cursor support for PIL
#
# notes:
# uses BmpImagePlugin.py to read the bitmap data.
#
# history:
# 96-05-27 fl Created
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1996.
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
from . import BmpImagePlugin, Image
from ._binary import i16le as i16
from ._binary import i32le as i32
#
# --------------------------------------------------------------------
def _accept(prefix: bytes) -> bool:
return prefix.startswith(b"\0\0\2\0")
##
# Image plugin for Windows Cursor files.
class CurImageFile(BmpImagePlugin.BmpImageFile):
format = "CUR"
format_description = "Windows Cursor"
def _open(self) -> None:
assert self.fp is not None
offset = self.fp.tell()
# check magic
s = self.fp.read(6)
if not _accept(s):
msg = "not a CUR file"
raise SyntaxError(msg)
# pick the largest cursor in the file
m = b""
for i in range(i16(s, 4)):
s = self.fp.read(16)
if not m:
m = s
elif s[0] > m[0] and s[1] > m[1]:
m = s
if not m:
msg = "No cursors were found"
raise TypeError(msg)
# load as bitmap
self._bitmap(i32(m, 12) + offset)
# patch up the bitmap height
self._size = self.size[0], self.size[1] // 2
self.tile = [self.tile[0]._replace(extents=(0, 0) + self.size)]
#
# --------------------------------------------------------------------
Image.register_open(CurImageFile.format, CurImageFile, _accept)
Image.register_extension(CurImageFile.format, ".cur")

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venv/lib/python3.10/site-packages/PIL/DcxImagePlugin.py Normal file
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#
# The Python Imaging Library.
# $Id$
#
# DCX file handling
#
# DCX is a container file format defined by Intel, commonly used
# for fax applications. Each DCX file consists of a directory
# (a list of file offsets) followed by a set of (usually 1-bit)
# PCX files.
#
# History:
# 1995-09-09 fl Created
# 1996-03-20 fl Properly derived from PcxImageFile.
# 1998-07-15 fl Renamed offset attribute to avoid name clash
# 2002-07-30 fl Fixed file handling
#
# Copyright (c) 1997-98 by Secret Labs AB.
# Copyright (c) 1995-96 by Fredrik Lundh.
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
from . import Image
from ._binary import i32le as i32
from ._util import DeferredError
from .PcxImagePlugin import PcxImageFile
MAGIC = 0x3ADE68B1 # QUIZ: what's this value, then?
def _accept(prefix: bytes) -> bool:
return len(prefix) >= 4 and i32(prefix) == MAGIC
##
# Image plugin for the Intel DCX format.
class DcxImageFile(PcxImageFile):
format = "DCX"
format_description = "Intel DCX"
_close_exclusive_fp_after_loading = False
def _open(self) -> None:
# Header
s = self.fp.read(4)
if not _accept(s):
msg = "not a DCX file"
raise SyntaxError(msg)
# Component directory
self._offset = []
for i in range(1024):
offset = i32(self.fp.read(4))
if not offset:
break
self._offset.append(offset)
self._fp = self.fp
self.frame = -1
self.n_frames = len(self._offset)
self.is_animated = self.n_frames > 1
self.seek(0)
def seek(self, frame: int) -> None:
if not self._seek_check(frame):
return
if isinstance(self._fp, DeferredError):
raise self._fp.ex
self.frame = frame
self.fp = self._fp
self.fp.seek(self._offset[frame])
PcxImageFile._open(self)
def tell(self) -> int:
return self.frame
Image.register_open(DcxImageFile.format, DcxImageFile, _accept)
Image.register_extension(DcxImageFile.format, ".dcx")

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venv/lib/python3.10/site-packages/PIL/DdsImagePlugin.py Normal file
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"""
A Pillow plugin for .dds files (S3TC-compressed aka DXTC)
Jerome Leclanche <jerome@leclan.ch>
Documentation:
https://web.archive.org/web/20170802060935/http://oss.sgi.com/projects/ogl-sample/registry/EXT/texture_compression_s3tc.txt
The contents of this file are hereby released in the public domain (CC0)
Full text of the CC0 license:
https://creativecommons.org/publicdomain/zero/1.0/
"""
from __future__ import annotations
import io
import struct
import sys
from enum import IntEnum, IntFlag
from typing import IO
from . import Image, ImageFile, ImagePalette
from ._binary import i32le as i32
from ._binary import o8
from ._binary import o32le as o32
# Magic ("DDS ")
DDS_MAGIC = 0x20534444
# DDS flags
class DDSD(IntFlag):
CAPS = 0x1
HEIGHT = 0x2
WIDTH = 0x4
PITCH = 0x8
PIXELFORMAT = 0x1000
MIPMAPCOUNT = 0x20000
LINEARSIZE = 0x80000
DEPTH = 0x800000
# DDS caps
class DDSCAPS(IntFlag):
COMPLEX = 0x8
TEXTURE = 0x1000
MIPMAP = 0x400000
class DDSCAPS2(IntFlag):
CUBEMAP = 0x200
CUBEMAP_POSITIVEX = 0x400
CUBEMAP_NEGATIVEX = 0x800
CUBEMAP_POSITIVEY = 0x1000
CUBEMAP_NEGATIVEY = 0x2000
CUBEMAP_POSITIVEZ = 0x4000
CUBEMAP_NEGATIVEZ = 0x8000
VOLUME = 0x200000
# Pixel Format
class DDPF(IntFlag):
ALPHAPIXELS = 0x1
ALPHA = 0x2
FOURCC = 0x4
PALETTEINDEXED8 = 0x20
RGB = 0x40
LUMINANCE = 0x20000
# dxgiformat.h
class DXGI_FORMAT(IntEnum):
UNKNOWN = 0
R32G32B32A32_TYPELESS = 1
R32G32B32A32_FLOAT = 2
R32G32B32A32_UINT = 3
R32G32B32A32_SINT = 4
R32G32B32_TYPELESS = 5
R32G32B32_FLOAT = 6
R32G32B32_UINT = 7
R32G32B32_SINT = 8
R16G16B16A16_TYPELESS = 9
R16G16B16A16_FLOAT = 10
R16G16B16A16_UNORM = 11
R16G16B16A16_UINT = 12
R16G16B16A16_SNORM = 13
R16G16B16A16_SINT = 14
R32G32_TYPELESS = 15
R32G32_FLOAT = 16
R32G32_UINT = 17
R32G32_SINT = 18
R32G8X24_TYPELESS = 19
D32_FLOAT_S8X24_UINT = 20
R32_FLOAT_X8X24_TYPELESS = 21
X32_TYPELESS_G8X24_UINT = 22
R10G10B10A2_TYPELESS = 23
R10G10B10A2_UNORM = 24
R10G10B10A2_UINT = 25
R11G11B10_FLOAT = 26
R8G8B8A8_TYPELESS = 27
R8G8B8A8_UNORM = 28
R8G8B8A8_UNORM_SRGB = 29
R8G8B8A8_UINT = 30
R8G8B8A8_SNORM = 31
R8G8B8A8_SINT = 32
R16G16_TYPELESS = 33
R16G16_FLOAT = 34
R16G16_UNORM = 35
R16G16_UINT = 36
R16G16_SNORM = 37
R16G16_SINT = 38
R32_TYPELESS = 39
D32_FLOAT = 40
R32_FLOAT = 41
R32_UINT = 42
R32_SINT = 43
R24G8_TYPELESS = 44
D24_UNORM_S8_UINT = 45
R24_UNORM_X8_TYPELESS = 46
X24_TYPELESS_G8_UINT = 47
R8G8_TYPELESS = 48
R8G8_UNORM = 49
R8G8_UINT = 50
R8G8_SNORM = 51
R8G8_SINT = 52
R16_TYPELESS = 53
R16_FLOAT = 54
D16_UNORM = 55
R16_UNORM = 56
R16_UINT = 57
R16_SNORM = 58
R16_SINT = 59
R8_TYPELESS = 60
R8_UNORM = 61
R8_UINT = 62
R8_SNORM = 63
R8_SINT = 64
A8_UNORM = 65
R1_UNORM = 66
R9G9B9E5_SHAREDEXP = 67
R8G8_B8G8_UNORM = 68
G8R8_G8B8_UNORM = 69
BC1_TYPELESS = 70
BC1_UNORM = 71
BC1_UNORM_SRGB = 72
BC2_TYPELESS = 73
BC2_UNORM = 74
BC2_UNORM_SRGB = 75
BC3_TYPELESS = 76
BC3_UNORM = 77
BC3_UNORM_SRGB = 78
BC4_TYPELESS = 79
BC4_UNORM = 80
BC4_SNORM = 81
BC5_TYPELESS = 82
BC5_UNORM = 83
BC5_SNORM = 84
B5G6R5_UNORM = 85
B5G5R5A1_UNORM = 86
B8G8R8A8_UNORM = 87
B8G8R8X8_UNORM = 88
R10G10B10_XR_BIAS_A2_UNORM = 89
B8G8R8A8_TYPELESS = 90
B8G8R8A8_UNORM_SRGB = 91
B8G8R8X8_TYPELESS = 92
B8G8R8X8_UNORM_SRGB = 93
BC6H_TYPELESS = 94
BC6H_UF16 = 95
BC6H_SF16 = 96
BC7_TYPELESS = 97
BC7_UNORM = 98
BC7_UNORM_SRGB = 99
AYUV = 100
Y410 = 101
Y416 = 102
NV12 = 103
P010 = 104
P016 = 105
OPAQUE_420 = 106
YUY2 = 107
Y210 = 108
Y216 = 109
NV11 = 110
AI44 = 111
IA44 = 112
P8 = 113
A8P8 = 114
B4G4R4A4_UNORM = 115
P208 = 130
V208 = 131
V408 = 132
SAMPLER_FEEDBACK_MIN_MIP_OPAQUE = 189
SAMPLER_FEEDBACK_MIP_REGION_USED_OPAQUE = 190
class D3DFMT(IntEnum):
UNKNOWN = 0
R8G8B8 = 20
A8R8G8B8 = 21
X8R8G8B8 = 22
R5G6B5 = 23
X1R5G5B5 = 24
A1R5G5B5 = 25
A4R4G4B4 = 26
R3G3B2 = 27
A8 = 28
A8R3G3B2 = 29
X4R4G4B4 = 30
A2B10G10R10 = 31
A8B8G8R8 = 32
X8B8G8R8 = 33
G16R16 = 34
A2R10G10B10 = 35
A16B16G16R16 = 36
A8P8 = 40
P8 = 41
L8 = 50
A8L8 = 51
A4L4 = 52
V8U8 = 60
L6V5U5 = 61
X8L8V8U8 = 62
Q8W8V8U8 = 63
V16U16 = 64
A2W10V10U10 = 67
D16_LOCKABLE = 70
D32 = 71
D15S1 = 73
D24S8 = 75
D24X8 = 77
D24X4S4 = 79
D16 = 80
D32F_LOCKABLE = 82
D24FS8 = 83
D32_LOCKABLE = 84
S8_LOCKABLE = 85
L16 = 81
VERTEXDATA = 100
INDEX16 = 101
INDEX32 = 102
Q16W16V16U16 = 110
R16F = 111
G16R16F = 112
A16B16G16R16F = 113
R32F = 114
G32R32F = 115
A32B32G32R32F = 116
CxV8U8 = 117
A1 = 118
A2B10G10R10_XR_BIAS = 119
BINARYBUFFER = 199
UYVY = i32(b"UYVY")
R8G8_B8G8 = i32(b"RGBG")
YUY2 = i32(b"YUY2")
G8R8_G8B8 = i32(b"GRGB")
DXT1 = i32(b"DXT1")
DXT2 = i32(b"DXT2")
DXT3 = i32(b"DXT3")
DXT4 = i32(b"DXT4")
DXT5 = i32(b"DXT5")
DX10 = i32(b"DX10")
BC4S = i32(b"BC4S")
BC4U = i32(b"BC4U")
BC5S = i32(b"BC5S")
BC5U = i32(b"BC5U")
ATI1 = i32(b"ATI1")
ATI2 = i32(b"ATI2")
MULTI2_ARGB8 = i32(b"MET1")
# Backward compatibility layer
module = sys.modules[__name__]
for item in DDSD:
assert item.name is not None
setattr(module, f"DDSD_{item.name}", item.value)
for item1 in DDSCAPS:
assert item1.name is not None
setattr(module, f"DDSCAPS_{item1.name}", item1.value)
for item2 in DDSCAPS2:
assert item2.name is not None
setattr(module, f"DDSCAPS2_{item2.name}", item2.value)
for item3 in DDPF:
assert item3.name is not None
setattr(module, f"DDPF_{item3.name}", item3.value)
DDS_FOURCC = DDPF.FOURCC
DDS_RGB = DDPF.RGB
DDS_RGBA = DDPF.RGB | DDPF.ALPHAPIXELS
DDS_LUMINANCE = DDPF.LUMINANCE
DDS_LUMINANCEA = DDPF.LUMINANCE | DDPF.ALPHAPIXELS
DDS_ALPHA = DDPF.ALPHA
DDS_PAL8 = DDPF.PALETTEINDEXED8
DDS_HEADER_FLAGS_TEXTURE = DDSD.CAPS | DDSD.HEIGHT | DDSD.WIDTH | DDSD.PIXELFORMAT
DDS_HEADER_FLAGS_MIPMAP = DDSD.MIPMAPCOUNT
DDS_HEADER_FLAGS_VOLUME = DDSD.DEPTH
DDS_HEADER_FLAGS_PITCH = DDSD.PITCH
DDS_HEADER_FLAGS_LINEARSIZE = DDSD.LINEARSIZE
DDS_HEIGHT = DDSD.HEIGHT
DDS_WIDTH = DDSD.WIDTH
DDS_SURFACE_FLAGS_TEXTURE = DDSCAPS.TEXTURE
DDS_SURFACE_FLAGS_MIPMAP = DDSCAPS.COMPLEX | DDSCAPS.MIPMAP
DDS_SURFACE_FLAGS_CUBEMAP = DDSCAPS.COMPLEX
DDS_CUBEMAP_POSITIVEX = DDSCAPS2.CUBEMAP | DDSCAPS2.CUBEMAP_POSITIVEX
DDS_CUBEMAP_NEGATIVEX = DDSCAPS2.CUBEMAP | DDSCAPS2.CUBEMAP_NEGATIVEX
DDS_CUBEMAP_POSITIVEY = DDSCAPS2.CUBEMAP | DDSCAPS2.CUBEMAP_POSITIVEY
DDS_CUBEMAP_NEGATIVEY = DDSCAPS2.CUBEMAP | DDSCAPS2.CUBEMAP_NEGATIVEY
DDS_CUBEMAP_POSITIVEZ = DDSCAPS2.CUBEMAP | DDSCAPS2.CUBEMAP_POSITIVEZ
DDS_CUBEMAP_NEGATIVEZ = DDSCAPS2.CUBEMAP | DDSCAPS2.CUBEMAP_NEGATIVEZ
DXT1_FOURCC = D3DFMT.DXT1
DXT3_FOURCC = D3DFMT.DXT3
DXT5_FOURCC = D3DFMT.DXT5
DXGI_FORMAT_R8G8B8A8_TYPELESS = DXGI_FORMAT.R8G8B8A8_TYPELESS
DXGI_FORMAT_R8G8B8A8_UNORM = DXGI_FORMAT.R8G8B8A8_UNORM
DXGI_FORMAT_R8G8B8A8_UNORM_SRGB = DXGI_FORMAT.R8G8B8A8_UNORM_SRGB
DXGI_FORMAT_BC5_TYPELESS = DXGI_FORMAT.BC5_TYPELESS
DXGI_FORMAT_BC5_UNORM = DXGI_FORMAT.BC5_UNORM
DXGI_FORMAT_BC5_SNORM = DXGI_FORMAT.BC5_SNORM
DXGI_FORMAT_BC6H_UF16 = DXGI_FORMAT.BC6H_UF16
DXGI_FORMAT_BC6H_SF16 = DXGI_FORMAT.BC6H_SF16
DXGI_FORMAT_BC7_TYPELESS = DXGI_FORMAT.BC7_TYPELESS
DXGI_FORMAT_BC7_UNORM = DXGI_FORMAT.BC7_UNORM
DXGI_FORMAT_BC7_UNORM_SRGB = DXGI_FORMAT.BC7_UNORM_SRGB
class DdsImageFile(ImageFile.ImageFile):
format = "DDS"
format_description = "DirectDraw Surface"
def _open(self) -> None:
if not _accept(self.fp.read(4)):
msg = "not a DDS file"
raise SyntaxError(msg)
(header_size,) = struct.unpack("<I", self.fp.read(4))
if header_size != 124:
msg = f"Unsupported header size {repr(header_size)}"
raise OSError(msg)
header_bytes = self.fp.read(header_size - 4)
if len(header_bytes) != 120:
msg = f"Incomplete header: {len(header_bytes)} bytes"
raise OSError(msg)
header = io.BytesIO(header_bytes)
flags, height, width = struct.unpack("<3I", header.read(12))
self._size = (width, height)
extents = (0, 0) + self.size
pitch, depth, mipmaps = struct.unpack("<3I", header.read(12))
struct.unpack("<11I", header.read(44)) # reserved
# pixel format
pfsize, pfflags, fourcc, bitcount = struct.unpack("<4I", header.read(16))
n = 0
rawmode = None
if pfflags & DDPF.RGB:
# Texture contains uncompressed RGB data
if pfflags & DDPF.ALPHAPIXELS:
self._mode = "RGBA"
mask_count = 4
else:
self._mode = "RGB"
mask_count = 3
masks = struct.unpack(f"<{mask_count}I", header.read(mask_count * 4))
self.tile = [ImageFile._Tile("dds_rgb", extents, 0, (bitcount, masks))]
return
elif pfflags & DDPF.LUMINANCE:
if bitcount == 8:
self._mode = "L"
elif bitcount == 16 and pfflags & DDPF.ALPHAPIXELS:
self._mode = "LA"
else:
msg = f"Unsupported bitcount {bitcount} for {pfflags}"
raise OSError(msg)
elif pfflags & DDPF.PALETTEINDEXED8:
self._mode = "P"
self.palette = ImagePalette.raw("RGBA", self.fp.read(1024))
self.palette.mode = "RGBA"
elif pfflags & DDPF.FOURCC:
offset = header_size + 4
if fourcc == D3DFMT.DXT1:
self._mode = "RGBA"
self.pixel_format = "DXT1"
n = 1
elif fourcc == D3DFMT.DXT3:
self._mode = "RGBA"
self.pixel_format = "DXT3"
n = 2
elif fourcc == D3DFMT.DXT5:
self._mode = "RGBA"
self.pixel_format = "DXT5"
n = 3
elif fourcc in (D3DFMT.BC4U, D3DFMT.ATI1):
self._mode = "L"
self.pixel_format = "BC4"
n = 4
elif fourcc == D3DFMT.BC5S:
self._mode = "RGB"
self.pixel_format = "BC5S"
n = 5
elif fourcc in (D3DFMT.BC5U, D3DFMT.ATI2):
self._mode = "RGB"
self.pixel_format = "BC5"
n = 5
elif fourcc == D3DFMT.DX10:
offset += 20
# ignoring flags which pertain to volume textures and cubemaps
(dxgi_format,) = struct.unpack("<I", self.fp.read(4))
self.fp.read(16)
if dxgi_format in (
DXGI_FORMAT.BC1_UNORM,
DXGI_FORMAT.BC1_TYPELESS,
):
self._mode = "RGBA"
self.pixel_format = "BC1"
n = 1
elif dxgi_format in (DXGI_FORMAT.BC2_TYPELESS, DXGI_FORMAT.BC2_UNORM):
self._mode = "RGBA"
self.pixel_format = "BC2"
n = 2
elif dxgi_format in (DXGI_FORMAT.BC3_TYPELESS, DXGI_FORMAT.BC3_UNORM):
self._mode = "RGBA"
self.pixel_format = "BC3"
n = 3
elif dxgi_format in (DXGI_FORMAT.BC4_TYPELESS, DXGI_FORMAT.BC4_UNORM):
self._mode = "L"
self.pixel_format = "BC4"
n = 4
elif dxgi_format in (DXGI_FORMAT.BC5_TYPELESS, DXGI_FORMAT.BC5_UNORM):
self._mode = "RGB"
self.pixel_format = "BC5"
n = 5
elif dxgi_format == DXGI_FORMAT.BC5_SNORM:
self._mode = "RGB"
self.pixel_format = "BC5S"
n = 5
elif dxgi_format == DXGI_FORMAT.BC6H_UF16:
self._mode = "RGB"
self.pixel_format = "BC6H"
n = 6
elif dxgi_format == DXGI_FORMAT.BC6H_SF16:
self._mode = "RGB"
self.pixel_format = "BC6HS"
n = 6
elif dxgi_format in (
DXGI_FORMAT.BC7_TYPELESS,
DXGI_FORMAT.BC7_UNORM,
DXGI_FORMAT.BC7_UNORM_SRGB,
):
self._mode = "RGBA"
self.pixel_format = "BC7"
n = 7
if dxgi_format == DXGI_FORMAT.BC7_UNORM_SRGB:
self.info["gamma"] = 1 / 2.2
elif dxgi_format in (
DXGI_FORMAT.R8G8B8A8_TYPELESS,
DXGI_FORMAT.R8G8B8A8_UNORM,
DXGI_FORMAT.R8G8B8A8_UNORM_SRGB,
):
self._mode = "RGBA"
if dxgi_format == DXGI_FORMAT.R8G8B8A8_UNORM_SRGB:
self.info["gamma"] = 1 / 2.2
else:
msg = f"Unimplemented DXGI format {dxgi_format}"
raise NotImplementedError(msg)
else:
msg = f"Unimplemented pixel format {repr(fourcc)}"
raise NotImplementedError(msg)
else:
msg = f"Unknown pixel format flags {pfflags}"
raise NotImplementedError(msg)
if n:
self.tile = [
ImageFile._Tile("bcn", extents, offset, (n, self.pixel_format))
]
else:
self.tile = [ImageFile._Tile("raw", extents, 0, rawmode or self.mode)]
def load_seek(self, pos: int) -> None:
pass
class DdsRgbDecoder(ImageFile.PyDecoder):
_pulls_fd = True
def decode(self, buffer: bytes | Image.SupportsArrayInterface) -> tuple[int, int]:
assert self.fd is not None
bitcount, masks = self.args
# Some masks will be padded with zeros, e.g. R 0b11 G 0b1100
# Calculate how many zeros each mask is padded with
mask_offsets = []
# And the maximum value of each channel without the padding
mask_totals = []
for mask in masks:
offset = 0
if mask != 0:
while mask >> (offset + 1) << (offset + 1) == mask:
offset += 1
mask_offsets.append(offset)
mask_totals.append(mask >> offset)
data = bytearray()
bytecount = bitcount // 8
dest_length = self.state.xsize * self.state.ysize * len(masks)
while len(data) < dest_length:
value = int.from_bytes(self.fd.read(bytecount), "little")
for i, mask in enumerate(masks):
masked_value = value & mask
# Remove the zero padding, and scale it to 8 bits
data += o8(
int(((masked_value >> mask_offsets[i]) / mask_totals[i]) * 255)
)
self.set_as_raw(data)
return -1, 0
def _save(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
if im.mode not in ("RGB", "RGBA", "L", "LA"):
msg = f"cannot write mode {im.mode} as DDS"
raise OSError(msg)
flags = DDSD.CAPS | DDSD.HEIGHT | DDSD.WIDTH | DDSD.PIXELFORMAT
bitcount = len(im.getbands()) * 8
pixel_format = im.encoderinfo.get("pixel_format")
args: tuple[int] | str
if pixel_format:
codec_name = "bcn"
flags |= DDSD.LINEARSIZE
pitch = (im.width + 3) * 4
rgba_mask = [0, 0, 0, 0]
pixel_flags = DDPF.FOURCC
if pixel_format == "DXT1":
fourcc = D3DFMT.DXT1
args = (1,)
elif pixel_format == "DXT3":
fourcc = D3DFMT.DXT3
args = (2,)
elif pixel_format == "DXT5":
fourcc = D3DFMT.DXT5
args = (3,)
else:
fourcc = D3DFMT.DX10
if pixel_format == "BC2":
args = (2,)
dxgi_format = DXGI_FORMAT.BC2_TYPELESS
elif pixel_format == "BC3":
args = (3,)
dxgi_format = DXGI_FORMAT.BC3_TYPELESS
elif pixel_format == "BC5":
args = (5,)
dxgi_format = DXGI_FORMAT.BC5_TYPELESS
if im.mode != "RGB":
msg = "only RGB mode can be written as BC5"
raise OSError(msg)
else:
msg = f"cannot write pixel format {pixel_format}"
raise OSError(msg)
else:
codec_name = "raw"
flags |= DDSD.PITCH
pitch = (im.width * bitcount + 7) // 8
alpha = im.mode[-1] == "A"
if im.mode[0] == "L":
pixel_flags = DDPF.LUMINANCE
args = im.mode
if alpha:
rgba_mask = [0x000000FF, 0x000000FF, 0x000000FF]
else:
rgba_mask = [0xFF000000, 0xFF000000, 0xFF000000]
else:
pixel_flags = DDPF.RGB
args = im.mode[::-1]
rgba_mask = [0x00FF0000, 0x0000FF00, 0x000000FF]
if alpha:
r, g, b, a = im.split()
im = Image.merge("RGBA", (a, r, g, b))
if alpha:
pixel_flags |= DDPF.ALPHAPIXELS
rgba_mask.append(0xFF000000 if alpha else 0)
fourcc = D3DFMT.UNKNOWN
fp.write(
o32(DDS_MAGIC)
+ struct.pack(
"<7I",
124, # header size
flags, # flags
im.height,
im.width,
pitch,
0, # depth
0, # mipmaps
)
+ struct.pack("11I", *((0,) * 11)) # reserved
# pfsize, pfflags, fourcc, bitcount
+ struct.pack("<4I", 32, pixel_flags, fourcc, bitcount)
+ struct.pack("<4I", *rgba_mask) # dwRGBABitMask
+ struct.pack("<5I", DDSCAPS.TEXTURE, 0, 0, 0, 0)
)
if fourcc == D3DFMT.DX10:
fp.write(
# dxgi_format, 2D resource, misc, array size, straight alpha
struct.pack("<5I", dxgi_format, 3, 0, 0, 1)
)
ImageFile._save(im, fp, [ImageFile._Tile(codec_name, (0, 0) + im.size, 0, args)])
def _accept(prefix: bytes) -> bool:
return prefix.startswith(b"DDS ")
Image.register_open(DdsImageFile.format, DdsImageFile, _accept)
Image.register_decoder("dds_rgb", DdsRgbDecoder)
Image.register_save(DdsImageFile.format, _save)
Image.register_extension(DdsImageFile.format, ".dds")

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venv/lib/python3.10/site-packages/PIL/EpsImagePlugin.py Normal file
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#
# The Python Imaging Library.
# $Id$
#
# EPS file handling
#
# History:
# 1995-09-01 fl Created (0.1)
# 1996-05-18 fl Don't choke on "atend" fields, Ghostscript interface (0.2)
# 1996-08-22 fl Don't choke on floating point BoundingBox values
# 1996-08-23 fl Handle files from Macintosh (0.3)
# 2001-02-17 fl Use 're' instead of 'regex' (Python 2.1) (0.4)
# 2003-09-07 fl Check gs.close status (from Federico Di Gregorio) (0.5)
# 2014-05-07 e Handling of EPS with binary preview and fixed resolution
# resizing
#
# Copyright (c) 1997-2003 by Secret Labs AB.
# Copyright (c) 1995-2003 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
import io
import os
import re
import subprocess
import sys
import tempfile
from typing import IO
from . import Image, ImageFile
from ._binary import i32le as i32
# --------------------------------------------------------------------
split = re.compile(r"^%%([^:]*):[ \t]*(.*)[ \t]*$")
field = re.compile(r"^%[%!\w]([^:]*)[ \t]*$")
gs_binary: str | bool | None = None
gs_windows_binary = None
def has_ghostscript() -> bool:
global gs_binary, gs_windows_binary
if gs_binary is None:
if sys.platform.startswith("win"):
if gs_windows_binary is None:
import shutil
for binary in ("gswin32c", "gswin64c", "gs"):
if shutil.which(binary) is not None:
gs_windows_binary = binary
break
else:
gs_windows_binary = False
gs_binary = gs_windows_binary
else:
try:
subprocess.check_call(["gs", "--version"], stdout=subprocess.DEVNULL)
gs_binary = "gs"
except OSError:
gs_binary = False
return gs_binary is not False
def Ghostscript(
tile: list[ImageFile._Tile],
size: tuple[int, int],
fp: IO[bytes],
scale: int = 1,
transparency: bool = False,
) -> Image.core.ImagingCore:
"""Render an image using Ghostscript"""
global gs_binary
if not has_ghostscript():
msg = "Unable to locate Ghostscript on paths"
raise OSError(msg)
assert isinstance(gs_binary, str)
# Unpack decoder tile
args = tile[0].args
assert isinstance(args, tuple)
length, bbox = args
# Hack to support hi-res rendering
scale = int(scale) or 1
width = size[0] * scale
height = size[1] * scale
# resolution is dependent on bbox and size
res_x = 72.0 * width / (bbox[2] - bbox[0])
res_y = 72.0 * height / (bbox[3] - bbox[1])
out_fd, outfile = tempfile.mkstemp()
os.close(out_fd)
infile_temp = None
if hasattr(fp, "name") and os.path.exists(fp.name):
infile = fp.name
else:
in_fd, infile_temp = tempfile.mkstemp()
os.close(in_fd)
infile = infile_temp
# Ignore length and offset!
# Ghostscript can read it
# Copy whole file to read in Ghostscript
with open(infile_temp, "wb") as f:
# fetch length of fp
fp.seek(0, io.SEEK_END)
fsize = fp.tell()
# ensure start position
# go back
fp.seek(0)
lengthfile = fsize
while lengthfile > 0:
s = fp.read(min(lengthfile, 100 * 1024))
if not s:
break
lengthfile -= len(s)
f.write(s)
if transparency:
# "RGBA"
device = "pngalpha"
else:
# "pnmraw" automatically chooses between
# PBM ("1"), PGM ("L"), and PPM ("RGB").
device = "pnmraw"
# Build Ghostscript command
command = [
gs_binary,
"-q", # quiet mode
f"-g{width:d}x{height:d}", # set output geometry (pixels)
f"-r{res_x:f}x{res_y:f}", # set input DPI (dots per inch)
"-dBATCH", # exit after processing
"-dNOPAUSE", # don't pause between pages
"-dSAFER", # safe mode
f"-sDEVICE={device}",
f"-sOutputFile={outfile}", # output file
# adjust for image origin
"-c",
f"{-bbox[0]} {-bbox[1]} translate",
"-f",
infile, # input file
# showpage (see https://bugs.ghostscript.com/show_bug.cgi?id=698272)
"-c",
"showpage",
]
# push data through Ghostscript
try:
startupinfo = None
if sys.platform.startswith("win"):
startupinfo = subprocess.STARTUPINFO()
startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
subprocess.check_call(command, startupinfo=startupinfo)
with Image.open(outfile) as out_im:
out_im.load()
return out_im.im.copy()
finally:
try:
os.unlink(outfile)
if infile_temp:
os.unlink(infile_temp)
except OSError:
pass
def _accept(prefix: bytes) -> bool:
return prefix.startswith(b"%!PS") or (
len(prefix) >= 4 and i32(prefix) == 0xC6D3D0C5
)
##
# Image plugin for Encapsulated PostScript. This plugin supports only
# a few variants of this format.
class EpsImageFile(ImageFile.ImageFile):
"""EPS File Parser for the Python Imaging Library"""
format = "EPS"
format_description = "Encapsulated Postscript"
mode_map = {1: "L", 2: "LAB", 3: "RGB", 4: "CMYK"}
def _open(self) -> None:
(length, offset) = self._find_offset(self.fp)
# go to offset - start of "%!PS"
self.fp.seek(offset)
self._mode = "RGB"
# When reading header comments, the first comment is used.
# When reading trailer comments, the last comment is used.
bounding_box: list[int] | None = None
imagedata_size: tuple[int, int] | None = None
byte_arr = bytearray(255)
bytes_mv = memoryview(byte_arr)
bytes_read = 0
reading_header_comments = True
reading_trailer_comments = False
trailer_reached = False
def check_required_header_comments() -> None:
"""
The EPS specification requires that some headers exist.
This should be checked when the header comments formally end,
when image data starts, or when the file ends, whichever comes first.
"""
if "PS-Adobe" not in self.info:
msg = 'EPS header missing "%!PS-Adobe" comment'
raise SyntaxError(msg)
if "BoundingBox" not in self.info:
msg = 'EPS header missing "%%BoundingBox" comment'
raise SyntaxError(msg)
def read_comment(s: str) -> bool:
nonlocal bounding_box, reading_trailer_comments
try:
m = split.match(s)
except re.error as e:
msg = "not an EPS file"
raise SyntaxError(msg) from e
if not m:
return False
k, v = m.group(1, 2)
self.info[k] = v
if k == "BoundingBox":
if v == "(atend)":
reading_trailer_comments = True
elif not bounding_box or (trailer_reached and reading_trailer_comments):
try:
# Note: The DSC spec says that BoundingBox
# fields should be integers, but some drivers
# put floating point values there anyway.
bounding_box = [int(float(i)) for i in v.split()]
except Exception:
pass
return True
while True:
byte = self.fp.read(1)
if byte == b"":
# if we didn't read a byte we must be at the end of the file
if bytes_read == 0:
if reading_header_comments:
check_required_header_comments()
break
elif byte in b"\r\n":
# if we read a line ending character, ignore it and parse what
# we have already read. if we haven't read any other characters,
# continue reading
if bytes_read == 0:
continue
else:
# ASCII/hexadecimal lines in an EPS file must not exceed
# 255 characters, not including line ending characters
if bytes_read >= 255:
# only enforce this for lines starting with a "%",
# otherwise assume it's binary data
if byte_arr[0] == ord("%"):
msg = "not an EPS file"
raise SyntaxError(msg)
else:
if reading_header_comments:
check_required_header_comments()
reading_header_comments = False
# reset bytes_read so we can keep reading
# data until the end of the line
bytes_read = 0
byte_arr[bytes_read] = byte[0]
bytes_read += 1
continue
if reading_header_comments:
# Load EPS header
# if this line doesn't start with a "%",
# or does start with "%%EndComments",
# then we've reached the end of the header/comments
if byte_arr[0] != ord("%") or bytes_mv[:13] == b"%%EndComments":
check_required_header_comments()
reading_header_comments = False
continue
s = str(bytes_mv[:bytes_read], "latin-1")
if not read_comment(s):
m = field.match(s)
if m:
k = m.group(1)
if k.startswith("PS-Adobe"):
self.info["PS-Adobe"] = k[9:]
else:
self.info[k] = ""
elif s[0] == "%":
# handle non-DSC PostScript comments that some
# tools mistakenly put in the Comments section
pass
else:
msg = "bad EPS header"
raise OSError(msg)
elif bytes_mv[:11] == b"%ImageData:":
# Check for an "ImageData" descriptor
# https://www.adobe.com/devnet-apps/photoshop/fileformatashtml/#50577413_pgfId-1035096
# If we've already read an "ImageData" descriptor,
# don't read another one.
if imagedata_size:
bytes_read = 0
continue
# Values:
# columns
# rows
# bit depth (1 or 8)
# mode (1: L, 2: LAB, 3: RGB, 4: CMYK)
# number of padding channels
# block size (number of bytes per row per channel)
# binary/ascii (1: binary, 2: ascii)
# data start identifier (the image data follows after a single line
# consisting only of this quoted value)
image_data_values = byte_arr[11:bytes_read].split(None, 7)
columns, rows, bit_depth, mode_id = (
int(value) for value in image_data_values[:4]
)
if bit_depth == 1:
self._mode = "1"
elif bit_depth == 8:
try:
self._mode = self.mode_map[mode_id]
except ValueError:
break
else:
break
# Parse the columns and rows after checking the bit depth and mode
# in case the bit depth and/or mode are invalid.
imagedata_size = columns, rows
elif bytes_mv[:5] == b"%%EOF":
break
elif trailer_reached and reading_trailer_comments:
# Load EPS trailer
s = str(bytes_mv[:bytes_read], "latin-1")
read_comment(s)
elif bytes_mv[:9] == b"%%Trailer":
trailer_reached = True
elif bytes_mv[:14] == b"%%BeginBinary:":
bytecount = int(byte_arr[14:bytes_read])
self.fp.seek(bytecount, os.SEEK_CUR)
bytes_read = 0
# A "BoundingBox" is always required,
# even if an "ImageData" descriptor size exists.
if not bounding_box:
msg = "cannot determine EPS bounding box"
raise OSError(msg)
# An "ImageData" size takes precedence over the "BoundingBox".
self._size = imagedata_size or (
bounding_box[2] - bounding_box[0],
bounding_box[3] - bounding_box[1],
)
self.tile = [
ImageFile._Tile("eps", (0, 0) + self.size, offset, (length, bounding_box))
]
def _find_offset(self, fp: IO[bytes]) -> tuple[int, int]:
s = fp.read(4)
if s == b"%!PS":
# for HEAD without binary preview
fp.seek(0, io.SEEK_END)
length = fp.tell()
offset = 0
elif i32(s) == 0xC6D3D0C5:
# FIX for: Some EPS file not handled correctly / issue #302
# EPS can contain binary data
# or start directly with latin coding
# more info see:
# https://web.archive.org/web/20160528181353/http://partners.adobe.com/public/developer/en/ps/5002.EPSF_Spec.pdf
s = fp.read(8)
offset = i32(s)
length = i32(s, 4)
else:
msg = "not an EPS file"
raise SyntaxError(msg)
return length, offset
def load(
self, scale: int = 1, transparency: bool = False
) -> Image.core.PixelAccess | None:
# Load EPS via Ghostscript
if self.tile:
self.im = Ghostscript(self.tile, self.size, self.fp, scale, transparency)
self._mode = self.im.mode
self._size = self.im.size
self.tile = []
return Image.Image.load(self)
def load_seek(self, pos: int) -> None:
# we can't incrementally load, so force ImageFile.parser to
# use our custom load method by defining this method.
pass
# --------------------------------------------------------------------
def _save(im: Image.Image, fp: IO[bytes], filename: str | bytes, eps: int = 1) -> None:
"""EPS Writer for the Python Imaging Library."""
# make sure image data is available
im.load()
# determine PostScript image mode
if im.mode == "L":
operator = (8, 1, b"image")
elif im.mode == "RGB":
operator = (8, 3, b"false 3 colorimage")
elif im.mode == "CMYK":
operator = (8, 4, b"false 4 colorimage")
else:
msg = "image mode is not supported"
raise ValueError(msg)
if eps:
# write EPS header
fp.write(b"%!PS-Adobe-3.0 EPSF-3.0\n")
fp.write(b"%%Creator: PIL 0.1 EpsEncode\n")
# fp.write("%%CreationDate: %s"...)
fp.write(b"%%%%BoundingBox: 0 0 %d %d\n" % im.size)
fp.write(b"%%Pages: 1\n")
fp.write(b"%%EndComments\n")
fp.write(b"%%Page: 1 1\n")
fp.write(b"%%ImageData: %d %d " % im.size)
fp.write(b'%d %d 0 1 1 "%s"\n' % operator)
# image header
fp.write(b"gsave\n")
fp.write(b"10 dict begin\n")
fp.write(b"/buf %d string def\n" % (im.size[0] * operator[1]))
fp.write(b"%d %d scale\n" % im.size)
fp.write(b"%d %d 8\n" % im.size) # <= bits
fp.write(b"[%d 0 0 -%d 0 %d]\n" % (im.size[0], im.size[1], im.size[1]))
fp.write(b"{ currentfile buf readhexstring pop } bind\n")
fp.write(operator[2] + b"\n")
if hasattr(fp, "flush"):
fp.flush()
ImageFile._save(im, fp, [ImageFile._Tile("eps", (0, 0) + im.size)])
fp.write(b"\n%%%%EndBinary\n")
fp.write(b"grestore end\n")
if hasattr(fp, "flush"):
fp.flush()
# --------------------------------------------------------------------
Image.register_open(EpsImageFile.format, EpsImageFile, _accept)
Image.register_save(EpsImageFile.format, _save)
Image.register_extensions(EpsImageFile.format, [".ps", ".eps"])
Image.register_mime(EpsImageFile.format, "application/postscript")

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#
# The Python Imaging Library.
# $Id$
#
# EXIF tags
#
# Copyright (c) 2003 by Secret Labs AB
#
# See the README file for information on usage and redistribution.
#
"""
This module provides constants and clear-text names for various
well-known EXIF tags.
"""
from __future__ import annotations
from enum import IntEnum
class Base(IntEnum):
# possibly incomplete
InteropIndex = 0x0001
ProcessingSoftware = 0x000B
NewSubfileType = 0x00FE
SubfileType = 0x00FF
ImageWidth = 0x0100
ImageLength = 0x0101
BitsPerSample = 0x0102
Compression = 0x0103
PhotometricInterpretation = 0x0106
Thresholding = 0x0107
CellWidth = 0x0108
CellLength = 0x0109
FillOrder = 0x010A
DocumentName = 0x010D
ImageDescription = 0x010E
Make = 0x010F
Model = 0x0110
StripOffsets = 0x0111
Orientation = 0x0112
SamplesPerPixel = 0x0115
RowsPerStrip = 0x0116
StripByteCounts = 0x0117
MinSampleValue = 0x0118
MaxSampleValue = 0x0119
XResolution = 0x011A
YResolution = 0x011B
PlanarConfiguration = 0x011C
PageName = 0x011D
FreeOffsets = 0x0120
FreeByteCounts = 0x0121
GrayResponseUnit = 0x0122
GrayResponseCurve = 0x0123
T4Options = 0x0124
T6Options = 0x0125
ResolutionUnit = 0x0128
PageNumber = 0x0129
TransferFunction = 0x012D
Software = 0x0131
DateTime = 0x0132
Artist = 0x013B
HostComputer = 0x013C
Predictor = 0x013D
WhitePoint = 0x013E
PrimaryChromaticities = 0x013F
ColorMap = 0x0140
HalftoneHints = 0x0141
TileWidth = 0x0142
TileLength = 0x0143
TileOffsets = 0x0144
TileByteCounts = 0x0145
SubIFDs = 0x014A
InkSet = 0x014C
InkNames = 0x014D
NumberOfInks = 0x014E
DotRange = 0x0150
TargetPrinter = 0x0151
ExtraSamples = 0x0152
SampleFormat = 0x0153
SMinSampleValue = 0x0154
SMaxSampleValue = 0x0155
TransferRange = 0x0156
ClipPath = 0x0157
XClipPathUnits = 0x0158
YClipPathUnits = 0x0159
Indexed = 0x015A
JPEGTables = 0x015B
OPIProxy = 0x015F
JPEGProc = 0x0200
JpegIFOffset = 0x0201
JpegIFByteCount = 0x0202
JpegRestartInterval = 0x0203
JpegLosslessPredictors = 0x0205
JpegPointTransforms = 0x0206
JpegQTables = 0x0207
JpegDCTables = 0x0208
JpegACTables = 0x0209
YCbCrCoefficients = 0x0211
YCbCrSubSampling = 0x0212
YCbCrPositioning = 0x0213
ReferenceBlackWhite = 0x0214
XMLPacket = 0x02BC
RelatedImageFileFormat = 0x1000
RelatedImageWidth = 0x1001
RelatedImageLength = 0x1002
Rating = 0x4746
RatingPercent = 0x4749
ImageID = 0x800D
CFARepeatPatternDim = 0x828D
BatteryLevel = 0x828F
Copyright = 0x8298
ExposureTime = 0x829A
FNumber = 0x829D
IPTCNAA = 0x83BB
ImageResources = 0x8649
ExifOffset = 0x8769
InterColorProfile = 0x8773
ExposureProgram = 0x8822
SpectralSensitivity = 0x8824
GPSInfo = 0x8825
ISOSpeedRatings = 0x8827
OECF = 0x8828
Interlace = 0x8829
TimeZoneOffset = 0x882A
SelfTimerMode = 0x882B
SensitivityType = 0x8830
StandardOutputSensitivity = 0x8831
RecommendedExposureIndex = 0x8832
ISOSpeed = 0x8833
ISOSpeedLatitudeyyy = 0x8834
ISOSpeedLatitudezzz = 0x8835
ExifVersion = 0x9000
DateTimeOriginal = 0x9003
DateTimeDigitized = 0x9004
OffsetTime = 0x9010
OffsetTimeOriginal = 0x9011
OffsetTimeDigitized = 0x9012
ComponentsConfiguration = 0x9101
CompressedBitsPerPixel = 0x9102
ShutterSpeedValue = 0x9201
ApertureValue = 0x9202
BrightnessValue = 0x9203
ExposureBiasValue = 0x9204
MaxApertureValue = 0x9205
SubjectDistance = 0x9206
MeteringMode = 0x9207
LightSource = 0x9208
Flash = 0x9209
FocalLength = 0x920A
Noise = 0x920D
ImageNumber = 0x9211
SecurityClassification = 0x9212
ImageHistory = 0x9213
TIFFEPStandardID = 0x9216
MakerNote = 0x927C
UserComment = 0x9286
SubsecTime = 0x9290
SubsecTimeOriginal = 0x9291
SubsecTimeDigitized = 0x9292
AmbientTemperature = 0x9400
Humidity = 0x9401
Pressure = 0x9402
WaterDepth = 0x9403
Acceleration = 0x9404
CameraElevationAngle = 0x9405
XPTitle = 0x9C9B
XPComment = 0x9C9C
XPAuthor = 0x9C9D
XPKeywords = 0x9C9E
XPSubject = 0x9C9F
FlashPixVersion = 0xA000
ColorSpace = 0xA001
ExifImageWidth = 0xA002
ExifImageHeight = 0xA003
RelatedSoundFile = 0xA004
ExifInteroperabilityOffset = 0xA005
FlashEnergy = 0xA20B
SpatialFrequencyResponse = 0xA20C
FocalPlaneXResolution = 0xA20E
FocalPlaneYResolution = 0xA20F
FocalPlaneResolutionUnit = 0xA210
SubjectLocation = 0xA214
ExposureIndex = 0xA215
SensingMethod = 0xA217
FileSource = 0xA300
SceneType = 0xA301
CFAPattern = 0xA302
CustomRendered = 0xA401
ExposureMode = 0xA402
WhiteBalance = 0xA403
DigitalZoomRatio = 0xA404
FocalLengthIn35mmFilm = 0xA405
SceneCaptureType = 0xA406
GainControl = 0xA407
Contrast = 0xA408
Saturation = 0xA409
Sharpness = 0xA40A
DeviceSettingDescription = 0xA40B
SubjectDistanceRange = 0xA40C
ImageUniqueID = 0xA420
CameraOwnerName = 0xA430
BodySerialNumber = 0xA431
LensSpecification = 0xA432
LensMake = 0xA433
LensModel = 0xA434
LensSerialNumber = 0xA435
CompositeImage = 0xA460
CompositeImageCount = 0xA461
CompositeImageExposureTimes = 0xA462
Gamma = 0xA500
PrintImageMatching = 0xC4A5
DNGVersion = 0xC612
DNGBackwardVersion = 0xC613
UniqueCameraModel = 0xC614
LocalizedCameraModel = 0xC615
CFAPlaneColor = 0xC616
CFALayout = 0xC617
LinearizationTable = 0xC618
BlackLevelRepeatDim = 0xC619
BlackLevel = 0xC61A
BlackLevelDeltaH = 0xC61B
BlackLevelDeltaV = 0xC61C
WhiteLevel = 0xC61D
DefaultScale = 0xC61E
DefaultCropOrigin = 0xC61F
DefaultCropSize = 0xC620
ColorMatrix1 = 0xC621
ColorMatrix2 = 0xC622
CameraCalibration1 = 0xC623
CameraCalibration2 = 0xC624
ReductionMatrix1 = 0xC625
ReductionMatrix2 = 0xC626
AnalogBalance = 0xC627
AsShotNeutral = 0xC628
AsShotWhiteXY = 0xC629
BaselineExposure = 0xC62A
BaselineNoise = 0xC62B
BaselineSharpness = 0xC62C
BayerGreenSplit = 0xC62D
LinearResponseLimit = 0xC62E
CameraSerialNumber = 0xC62F
LensInfo = 0xC630
ChromaBlurRadius = 0xC631
AntiAliasStrength = 0xC632
ShadowScale = 0xC633
DNGPrivateData = 0xC634
MakerNoteSafety = 0xC635
CalibrationIlluminant1 = 0xC65A
CalibrationIlluminant2 = 0xC65B
BestQualityScale = 0xC65C
RawDataUniqueID = 0xC65D
OriginalRawFileName = 0xC68B
OriginalRawFileData = 0xC68C
ActiveArea = 0xC68D
MaskedAreas = 0xC68E
AsShotICCProfile = 0xC68F
AsShotPreProfileMatrix = 0xC690
CurrentICCProfile = 0xC691
CurrentPreProfileMatrix = 0xC692
ColorimetricReference = 0xC6BF
CameraCalibrationSignature = 0xC6F3
ProfileCalibrationSignature = 0xC6F4
AsShotProfileName = 0xC6F6
NoiseReductionApplied = 0xC6F7
ProfileName = 0xC6F8
ProfileHueSatMapDims = 0xC6F9
ProfileHueSatMapData1 = 0xC6FA
ProfileHueSatMapData2 = 0xC6FB
ProfileToneCurve = 0xC6FC
ProfileEmbedPolicy = 0xC6FD
ProfileCopyright = 0xC6FE
ForwardMatrix1 = 0xC714
ForwardMatrix2 = 0xC715
PreviewApplicationName = 0xC716
PreviewApplicationVersion = 0xC717
PreviewSettingsName = 0xC718
PreviewSettingsDigest = 0xC719
PreviewColorSpace = 0xC71A
PreviewDateTime = 0xC71B
RawImageDigest = 0xC71C
OriginalRawFileDigest = 0xC71D
SubTileBlockSize = 0xC71E
RowInterleaveFactor = 0xC71F
ProfileLookTableDims = 0xC725
ProfileLookTableData = 0xC726
OpcodeList1 = 0xC740
OpcodeList2 = 0xC741
OpcodeList3 = 0xC74E
NoiseProfile = 0xC761
"""Maps EXIF tags to tag names."""
TAGS = {
**{i.value: i.name for i in Base},
0x920C: "SpatialFrequencyResponse",
0x9214: "SubjectLocation",
0x9215: "ExposureIndex",
0x828E: "CFAPattern",
0x920B: "FlashEnergy",
0x9216: "TIFF/EPStandardID",
}
class GPS(IntEnum):
GPSVersionID = 0x00
GPSLatitudeRef = 0x01
GPSLatitude = 0x02
GPSLongitudeRef = 0x03
GPSLongitude = 0x04
GPSAltitudeRef = 0x05
GPSAltitude = 0x06
GPSTimeStamp = 0x07
GPSSatellites = 0x08
GPSStatus = 0x09
GPSMeasureMode = 0x0A
GPSDOP = 0x0B
GPSSpeedRef = 0x0C
GPSSpeed = 0x0D
GPSTrackRef = 0x0E
GPSTrack = 0x0F
GPSImgDirectionRef = 0x10
GPSImgDirection = 0x11
GPSMapDatum = 0x12
GPSDestLatitudeRef = 0x13
GPSDestLatitude = 0x14
GPSDestLongitudeRef = 0x15
GPSDestLongitude = 0x16
GPSDestBearingRef = 0x17
GPSDestBearing = 0x18
GPSDestDistanceRef = 0x19
GPSDestDistance = 0x1A
GPSProcessingMethod = 0x1B
GPSAreaInformation = 0x1C
GPSDateStamp = 0x1D
GPSDifferential = 0x1E
GPSHPositioningError = 0x1F
"""Maps EXIF GPS tags to tag names."""
GPSTAGS = {i.value: i.name for i in GPS}
class Interop(IntEnum):
InteropIndex = 0x0001
InteropVersion = 0x0002
RelatedImageFileFormat = 0x1000
RelatedImageWidth = 0x1001
RelatedImageHeight = 0x1002
class IFD(IntEnum):
Exif = 0x8769
GPSInfo = 0x8825
MakerNote = 0x927C
Makernote = 0x927C # Deprecated
Interop = 0xA005
IFD1 = -1
class LightSource(IntEnum):
Unknown = 0x00
Daylight = 0x01
Fluorescent = 0x02
Tungsten = 0x03
Flash = 0x04
Fine = 0x09
Cloudy = 0x0A
Shade = 0x0B
DaylightFluorescent = 0x0C
DayWhiteFluorescent = 0x0D
CoolWhiteFluorescent = 0x0E
WhiteFluorescent = 0x0F
StandardLightA = 0x11
StandardLightB = 0x12
StandardLightC = 0x13
D55 = 0x14
D65 = 0x15
D75 = 0x16
D50 = 0x17
ISO = 0x18
Other = 0xFF

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#
# The Python Imaging Library
# $Id$
#
# FITS file handling
#
# Copyright (c) 1998-2003 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
import gzip
import math
from . import Image, ImageFile
def _accept(prefix: bytes) -> bool:
return prefix.startswith(b"SIMPLE")
class FitsImageFile(ImageFile.ImageFile):
format = "FITS"
format_description = "FITS"
def _open(self) -> None:
assert self.fp is not None
headers: dict[bytes, bytes] = {}
header_in_progress = False
decoder_name = ""
while True:
header = self.fp.read(80)
if not header:
msg = "Truncated FITS file"
raise OSError(msg)
keyword = header[:8].strip()
if keyword in (b"SIMPLE", b"XTENSION"):
header_in_progress = True
elif headers and not header_in_progress:
# This is now a data unit
break
elif keyword == b"END":
# Seek to the end of the header unit
self.fp.seek(math.ceil(self.fp.tell() / 2880) * 2880)
if not decoder_name:
decoder_name, offset, args = self._parse_headers(headers)
header_in_progress = False
continue
if decoder_name:
# Keep going to read past the headers
continue
value = header[8:].split(b"/")[0].strip()
if value.startswith(b"="):
value = value[1:].strip()
if not headers and (not _accept(keyword) or value != b"T"):
msg = "Not a FITS file"
raise SyntaxError(msg)
headers[keyword] = value
if not decoder_name:
msg = "No image data"
raise ValueError(msg)
offset += self.fp.tell() - 80
self.tile = [ImageFile._Tile(decoder_name, (0, 0) + self.size, offset, args)]
def _get_size(
self, headers: dict[bytes, bytes], prefix: bytes
) -> tuple[int, int] | None:
naxis = int(headers[prefix + b"NAXIS"])
if naxis == 0:
return None
if naxis == 1:
return 1, int(headers[prefix + b"NAXIS1"])
else:
return int(headers[prefix + b"NAXIS1"]), int(headers[prefix + b"NAXIS2"])
def _parse_headers(
self, headers: dict[bytes, bytes]
) -> tuple[str, int, tuple[str | int, ...]]:
prefix = b""
decoder_name = "raw"
offset = 0
if (
headers.get(b"XTENSION") == b"'BINTABLE'"
and headers.get(b"ZIMAGE") == b"T"
and headers[b"ZCMPTYPE"] == b"'GZIP_1 '"
):
no_prefix_size = self._get_size(headers, prefix) or (0, 0)
number_of_bits = int(headers[b"BITPIX"])
offset = no_prefix_size[0] * no_prefix_size[1] * (number_of_bits // 8)
prefix = b"Z"
decoder_name = "fits_gzip"
size = self._get_size(headers, prefix)
if not size:
return "", 0, ()
self._size = size
number_of_bits = int(headers[prefix + b"BITPIX"])
if number_of_bits == 8:
self._mode = "L"
elif number_of_bits == 16:
self._mode = "I;16"
elif number_of_bits == 32:
self._mode = "I"
elif number_of_bits in (-32, -64):
self._mode = "F"
args: tuple[str | int, ...]
if decoder_name == "raw":
args = (self.mode, 0, -1)
else:
args = (number_of_bits,)
return decoder_name, offset, args
class FitsGzipDecoder(ImageFile.PyDecoder):
_pulls_fd = True
def decode(self, buffer: bytes | Image.SupportsArrayInterface) -> tuple[int, int]:
assert self.fd is not None
value = gzip.decompress(self.fd.read())
rows = []
offset = 0
number_of_bits = min(self.args[0] // 8, 4)
for y in range(self.state.ysize):
row = bytearray()
for x in range(self.state.xsize):
row += value[offset + (4 - number_of_bits) : offset + 4]
offset += 4
rows.append(row)
self.set_as_raw(bytes([pixel for row in rows[::-1] for pixel in row]))
return -1, 0
# --------------------------------------------------------------------
# Registry
Image.register_open(FitsImageFile.format, FitsImageFile, _accept)
Image.register_decoder("fits_gzip", FitsGzipDecoder)
Image.register_extensions(FitsImageFile.format, [".fit", ".fits"])

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#
# The Python Imaging Library.
# $Id$
#
# FLI/FLC file handling.
#
# History:
# 95-09-01 fl Created
# 97-01-03 fl Fixed parser, setup decoder tile
# 98-07-15 fl Renamed offset attribute to avoid name clash
#
# Copyright (c) Secret Labs AB 1997-98.
# Copyright (c) Fredrik Lundh 1995-97.
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
import os
from . import Image, ImageFile, ImagePalette
from ._binary import i16le as i16
from ._binary import i32le as i32
from ._binary import o8
from ._util import DeferredError
#
# decoder
def _accept(prefix: bytes) -> bool:
return (
len(prefix) >= 16
and i16(prefix, 4) in [0xAF11, 0xAF12]
and i16(prefix, 14) in [0, 3] # flags
)
##
# Image plugin for the FLI/FLC animation format. Use the <b>seek</b>
# method to load individual frames.
class FliImageFile(ImageFile.ImageFile):
format = "FLI"
format_description = "Autodesk FLI/FLC Animation"
_close_exclusive_fp_after_loading = False
def _open(self) -> None:
# HEAD
assert self.fp is not None
s = self.fp.read(128)
if not (
_accept(s)
and s[20:22] == b"\x00" * 2
and s[42:80] == b"\x00" * 38
and s[88:] == b"\x00" * 40
):
msg = "not an FLI/FLC file"
raise SyntaxError(msg)
# frames
self.n_frames = i16(s, 6)
self.is_animated = self.n_frames > 1
# image characteristics
self._mode = "P"
self._size = i16(s, 8), i16(s, 10)
# animation speed
duration = i32(s, 16)
magic = i16(s, 4)
if magic == 0xAF11:
duration = (duration * 1000) // 70
self.info["duration"] = duration
# look for palette
palette = [(a, a, a) for a in range(256)]
s = self.fp.read(16)
self.__offset = 128
if i16(s, 4) == 0xF100:
# prefix chunk; ignore it
self.fp.seek(self.__offset + i32(s))
s = self.fp.read(16)
if i16(s, 4) == 0xF1FA:
# look for palette chunk
number_of_subchunks = i16(s, 6)
chunk_size: int | None = None
for _ in range(number_of_subchunks):
if chunk_size is not None:
self.fp.seek(chunk_size - 6, os.SEEK_CUR)
s = self.fp.read(6)
chunk_type = i16(s, 4)
if chunk_type in (4, 11):
self._palette(palette, 2 if chunk_type == 11 else 0)
break
chunk_size = i32(s)
if not chunk_size:
break
self.palette = ImagePalette.raw(
"RGB", b"".join(o8(r) + o8(g) + o8(b) for (r, g, b) in palette)
)
# set things up to decode first frame
self.__frame = -1
self._fp = self.fp
self.__rewind = self.fp.tell()
self.seek(0)
def _palette(self, palette: list[tuple[int, int, int]], shift: int) -> None:
# load palette
i = 0
assert self.fp is not None
for e in range(i16(self.fp.read(2))):
s = self.fp.read(2)
i = i + s[0]
n = s[1]
if n == 0:
n = 256
s = self.fp.read(n * 3)
for n in range(0, len(s), 3):
r = s[n] << shift
g = s[n + 1] << shift
b = s[n + 2] << shift
palette[i] = (r, g, b)
i += 1
def seek(self, frame: int) -> None:
if not self._seek_check(frame):
return
if frame < self.__frame:
self._seek(0)
for f in range(self.__frame + 1, frame + 1):
self._seek(f)
def _seek(self, frame: int) -> None:
if isinstance(self._fp, DeferredError):
raise self._fp.ex
if frame == 0:
self.__frame = -1
self._fp.seek(self.__rewind)
self.__offset = 128
else:
# ensure that the previous frame was loaded
self.load()
if frame != self.__frame + 1:
msg = f"cannot seek to frame {frame}"
raise ValueError(msg)
self.__frame = frame
# move to next frame
self.fp = self._fp
self.fp.seek(self.__offset)
s = self.fp.read(4)
if not s:
msg = "missing frame size"
raise EOFError(msg)
framesize = i32(s)
self.decodermaxblock = framesize
self.tile = [ImageFile._Tile("fli", (0, 0) + self.size, self.__offset)]
self.__offset += framesize
def tell(self) -> int:
return self.__frame
#
# registry
Image.register_open(FliImageFile.format, FliImageFile, _accept)
Image.register_extensions(FliImageFile.format, [".fli", ".flc"])

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#
# The Python Imaging Library
# $Id$
#
# base class for raster font file parsers
#
# history:
# 1997-06-05 fl created
# 1997-08-19 fl restrict image width
#
# Copyright (c) 1997-1998 by Secret Labs AB
# Copyright (c) 1997-1998 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
import os
from typing import BinaryIO
from . import Image, _binary
WIDTH = 800
def puti16(
fp: BinaryIO, values: tuple[int, int, int, int, int, int, int, int, int, int]
) -> None:
"""Write network order (big-endian) 16-bit sequence"""
for v in values:
if v < 0:
v += 65536
fp.write(_binary.o16be(v))
class FontFile:
"""Base class for raster font file handlers."""
bitmap: Image.Image | None = None
def __init__(self) -> None:
self.info: dict[bytes, bytes | int] = {}
self.glyph: list[
tuple[
tuple[int, int],
tuple[int, int, int, int],
tuple[int, int, int, int],
Image.Image,
]
| None
] = [None] * 256
def __getitem__(self, ix: int) -> (
tuple[
tuple[int, int],
tuple[int, int, int, int],
tuple[int, int, int, int],
Image.Image,
]
| None
):
return self.glyph[ix]
def compile(self) -> None:
"""Create metrics and bitmap"""
if self.bitmap:
return
# create bitmap large enough to hold all data
h = w = maxwidth = 0
lines = 1
for glyph in self.glyph:
if glyph:
d, dst, src, im = glyph
h = max(h, src[3] - src[1])
w = w + (src[2] - src[0])
if w > WIDTH:
lines += 1
w = src[2] - src[0]
maxwidth = max(maxwidth, w)
xsize = maxwidth
ysize = lines * h
if xsize == 0 and ysize == 0:
return
self.ysize = h
# paste glyphs into bitmap
self.bitmap = Image.new("1", (xsize, ysize))
self.metrics: list[
tuple[tuple[int, int], tuple[int, int, int, int], tuple[int, int, int, int]]
| None
] = [None] * 256
x = y = 0
for i in range(256):
glyph = self[i]
if glyph:
d, dst, src, im = glyph
xx = src[2] - src[0]
x0, y0 = x, y
x = x + xx
if x > WIDTH:
x, y = 0, y + h
x0, y0 = x, y
x = xx
s = src[0] + x0, src[1] + y0, src[2] + x0, src[3] + y0
self.bitmap.paste(im.crop(src), s)
self.metrics[i] = d, dst, s
def save(self, filename: str) -> None:
"""Save font"""
self.compile()
# font data
if not self.bitmap:
msg = "No bitmap created"
raise ValueError(msg)
self.bitmap.save(os.path.splitext(filename)[0] + ".pbm", "PNG")
# font metrics
with open(os.path.splitext(filename)[0] + ".pil", "wb") as fp:
fp.write(b"PILfont\n")
fp.write(f";;;;;;{self.ysize};\n".encode("ascii")) # HACK!!!
fp.write(b"DATA\n")
for id in range(256):
m = self.metrics[id]
if not m:
puti16(fp, (0,) * 10)
else:
puti16(fp, m[0] + m[1] + m[2])

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#
# THIS IS WORK IN PROGRESS
#
# The Python Imaging Library.
# $Id$
#
# FlashPix support for PIL
#
# History:
# 97-01-25 fl Created (reads uncompressed RGB images only)
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1997.
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
import olefile
from . import Image, ImageFile
from ._binary import i32le as i32
# we map from colour field tuples to (mode, rawmode) descriptors
MODES = {
# opacity
(0x00007FFE,): ("A", "L"),
# monochrome
(0x00010000,): ("L", "L"),
(0x00018000, 0x00017FFE): ("RGBA", "LA"),
# photo YCC
(0x00020000, 0x00020001, 0x00020002): ("RGB", "YCC;P"),
(0x00028000, 0x00028001, 0x00028002, 0x00027FFE): ("RGBA", "YCCA;P"),
# standard RGB (NIFRGB)
(0x00030000, 0x00030001, 0x00030002): ("RGB", "RGB"),
(0x00038000, 0x00038001, 0x00038002, 0x00037FFE): ("RGBA", "RGBA"),
}
#
# --------------------------------------------------------------------
def _accept(prefix: bytes) -> bool:
return prefix.startswith(olefile.MAGIC)
##
# Image plugin for the FlashPix images.
class FpxImageFile(ImageFile.ImageFile):
format = "FPX"
format_description = "FlashPix"
def _open(self) -> None:
#
# read the OLE directory and see if this is a likely
# to be a FlashPix file
try:
self.ole = olefile.OleFileIO(self.fp)
except OSError as e:
msg = "not an FPX file; invalid OLE file"
raise SyntaxError(msg) from e
root = self.ole.root
if not root or root.clsid != "56616700-C154-11CE-8553-00AA00A1F95B":
msg = "not an FPX file; bad root CLSID"
raise SyntaxError(msg)
self._open_index(1)
def _open_index(self, index: int = 1) -> None:
#
# get the Image Contents Property Set
prop = self.ole.getproperties(
[f"Data Object Store {index:06d}", "\005Image Contents"]
)
# size (highest resolution)
assert isinstance(prop[0x1000002], int)
assert isinstance(prop[0x1000003], int)
self._size = prop[0x1000002], prop[0x1000003]
size = max(self.size)
i = 1
while size > 64:
size = size // 2
i += 1
self.maxid = i - 1
# mode. instead of using a single field for this, flashpix
# requires you to specify the mode for each channel in each
# resolution subimage, and leaves it to the decoder to make
# sure that they all match. for now, we'll cheat and assume
# that this is always the case.
id = self.maxid << 16
s = prop[0x2000002 | id]
if not isinstance(s, bytes) or (bands := i32(s, 4)) > 4:
msg = "Invalid number of bands"
raise OSError(msg)
# note: for now, we ignore the "uncalibrated" flag
colors = tuple(i32(s, 8 + i * 4) & 0x7FFFFFFF for i in range(bands))
self._mode, self.rawmode = MODES[colors]
# load JPEG tables, if any
self.jpeg = {}
for i in range(256):
id = 0x3000001 | (i << 16)
if id in prop:
self.jpeg[i] = prop[id]
self._open_subimage(1, self.maxid)
def _open_subimage(self, index: int = 1, subimage: int = 0) -> None:
#
# setup tile descriptors for a given subimage
stream = [
f"Data Object Store {index:06d}",
f"Resolution {subimage:04d}",
"Subimage 0000 Header",
]
fp = self.ole.openstream(stream)
# skip prefix
fp.read(28)
# header stream
s = fp.read(36)
size = i32(s, 4), i32(s, 8)
# tilecount = i32(s, 12)
tilesize = i32(s, 16), i32(s, 20)
# channels = i32(s, 24)
offset = i32(s, 28)
length = i32(s, 32)
if size != self.size:
msg = "subimage mismatch"
raise OSError(msg)
# get tile descriptors
fp.seek(28 + offset)
s = fp.read(i32(s, 12) * length)
x = y = 0
xsize, ysize = size
xtile, ytile = tilesize
self.tile = []
for i in range(0, len(s), length):
x1 = min(xsize, x + xtile)
y1 = min(ysize, y + ytile)
compression = i32(s, i + 8)
if compression == 0:
self.tile.append(
ImageFile._Tile(
"raw",
(x, y, x1, y1),
i32(s, i) + 28,
self.rawmode,
)
)
elif compression == 1:
# FIXME: the fill decoder is not implemented
self.tile.append(
ImageFile._Tile(
"fill",
(x, y, x1, y1),
i32(s, i) + 28,
(self.rawmode, s[12:16]),
)
)
elif compression == 2:
internal_color_conversion = s[14]
jpeg_tables = s[15]
rawmode = self.rawmode
if internal_color_conversion:
# The image is stored as usual (usually YCbCr).
if rawmode == "RGBA":
# For "RGBA", data is stored as YCbCrA based on
# negative RGB. The following trick works around
# this problem :
jpegmode, rawmode = "YCbCrK", "CMYK"
else:
jpegmode = None # let the decoder decide
else:
# The image is stored as defined by rawmode
jpegmode = rawmode
self.tile.append(
ImageFile._Tile(
"jpeg",
(x, y, x1, y1),
i32(s, i) + 28,
(rawmode, jpegmode),
)
)
# FIXME: jpeg tables are tile dependent; the prefix
# data must be placed in the tile descriptor itself!
if jpeg_tables:
self.tile_prefix = self.jpeg[jpeg_tables]
else:
msg = "unknown/invalid compression"
raise OSError(msg)
x = x + xtile
if x >= xsize:
x, y = 0, y + ytile
if y >= ysize:
break # isn't really required
self.stream = stream
self._fp = self.fp
self.fp = None
def load(self) -> Image.core.PixelAccess | None:
if not self.fp:
self.fp = self.ole.openstream(self.stream[:2] + ["Subimage 0000 Data"])
return ImageFile.ImageFile.load(self)
def close(self) -> None:
self.ole.close()
super().close()
def __exit__(self, *args: object) -> None:
self.ole.close()
super().__exit__()
#
# --------------------------------------------------------------------
Image.register_open(FpxImageFile.format, FpxImageFile, _accept)
Image.register_extension(FpxImageFile.format, ".fpx")

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"""
A Pillow loader for .ftc and .ftu files (FTEX)
Jerome Leclanche <jerome@leclan.ch>
The contents of this file are hereby released in the public domain (CC0)
Full text of the CC0 license:
https://creativecommons.org/publicdomain/zero/1.0/
Independence War 2: Edge Of Chaos - Texture File Format - 16 October 2001
The textures used for 3D objects in Independence War 2: Edge Of Chaos are in a
packed custom format called FTEX. This file format uses file extensions FTC
and FTU.
* FTC files are compressed textures (using standard texture compression).
* FTU files are not compressed.
Texture File Format
The FTC and FTU texture files both use the same format. This
has the following structure:
{header}
{format_directory}
{data}
Where:
{header} = {
u32:magic,
u32:version,
u32:width,
u32:height,
u32:mipmap_count,
u32:format_count
}
* The "magic" number is "FTEX".
* "width" and "height" are the dimensions of the texture.
* "mipmap_count" is the number of mipmaps in the texture.
* "format_count" is the number of texture formats (different versions of the
same texture) in this file.
{format_directory} = format_count * { u32:format, u32:where }
The format value is 0 for DXT1 compressed textures and 1 for 24-bit RGB
uncompressed textures.
The texture data for a format starts at the position "where" in the file.
Each set of texture data in the file has the following structure:
{data} = format_count * { u32:mipmap_size, mipmap_size * { u8 } }
* "mipmap_size" is the number of bytes in that mip level. For compressed
textures this is the size of the texture data compressed with DXT1. For 24 bit
uncompressed textures, this is 3 * width * height. Following this are the image
bytes for that mipmap level.
Note: All data is stored in little-Endian (Intel) byte order.
"""
from __future__ import annotations
import struct
from enum import IntEnum
from io import BytesIO
from . import Image, ImageFile
MAGIC = b"FTEX"
class Format(IntEnum):
DXT1 = 0
UNCOMPRESSED = 1
class FtexImageFile(ImageFile.ImageFile):
format = "FTEX"
format_description = "Texture File Format (IW2:EOC)"
def _open(self) -> None:
if not _accept(self.fp.read(4)):
msg = "not an FTEX file"
raise SyntaxError(msg)
struct.unpack("<i", self.fp.read(4)) # version
self._size = struct.unpack("<2i", self.fp.read(8))
mipmap_count, format_count = struct.unpack("<2i", self.fp.read(8))
# Only support single-format files.
# I don't know of any multi-format file.
assert format_count == 1
format, where = struct.unpack("<2i", self.fp.read(8))
self.fp.seek(where)
(mipmap_size,) = struct.unpack("<i", self.fp.read(4))
data = self.fp.read(mipmap_size)
if format == Format.DXT1:
self._mode = "RGBA"
self.tile = [ImageFile._Tile("bcn", (0, 0) + self.size, 0, (1,))]
elif format == Format.UNCOMPRESSED:
self._mode = "RGB"
self.tile = [ImageFile._Tile("raw", (0, 0) + self.size, 0, "RGB")]
else:
msg = f"Invalid texture compression format: {repr(format)}"
raise ValueError(msg)
self.fp.close()
self.fp = BytesIO(data)
def load_seek(self, pos: int) -> None:
pass
def _accept(prefix: bytes) -> bool:
return prefix.startswith(MAGIC)
Image.register_open(FtexImageFile.format, FtexImageFile, _accept)
Image.register_extensions(FtexImageFile.format, [".ftc", ".ftu"])

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#
# The Python Imaging Library
#
# load a GIMP brush file
#
# History:
# 96-03-14 fl Created
# 16-01-08 es Version 2
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1996.
# Copyright (c) Eric Soroos 2016.
#
# See the README file for information on usage and redistribution.
#
#
# See https://github.com/GNOME/gimp/blob/mainline/devel-docs/gbr.txt for
# format documentation.
#
# This code Interprets version 1 and 2 .gbr files.
# Version 1 files are obsolete, and should not be used for new
# brushes.
# Version 2 files are saved by GIMP v2.8 (at least)
# Version 3 files have a format specifier of 18 for 16bit floats in
# the color depth field. This is currently unsupported by Pillow.
from __future__ import annotations
from . import Image, ImageFile
from ._binary import i32be as i32
def _accept(prefix: bytes) -> bool:
return len(prefix) >= 8 and i32(prefix, 0) >= 20 and i32(prefix, 4) in (1, 2)
##
# Image plugin for the GIMP brush format.
class GbrImageFile(ImageFile.ImageFile):
format = "GBR"
format_description = "GIMP brush file"
def _open(self) -> None:
header_size = i32(self.fp.read(4))
if header_size < 20:
msg = "not a GIMP brush"
raise SyntaxError(msg)
version = i32(self.fp.read(4))
if version not in (1, 2):
msg = f"Unsupported GIMP brush version: {version}"
raise SyntaxError(msg)
width = i32(self.fp.read(4))
height = i32(self.fp.read(4))
color_depth = i32(self.fp.read(4))
if width == 0 or height == 0:
msg = "not a GIMP brush"
raise SyntaxError(msg)
if color_depth not in (1, 4):
msg = f"Unsupported GIMP brush color depth: {color_depth}"
raise SyntaxError(msg)
if version == 1:
comment_length = header_size - 20
else:
comment_length = header_size - 28
magic_number = self.fp.read(4)
if magic_number != b"GIMP":
msg = "not a GIMP brush, bad magic number"
raise SyntaxError(msg)
self.info["spacing"] = i32(self.fp.read(4))
self.info["comment"] = self.fp.read(comment_length)[:-1]
if color_depth == 1:
self._mode = "L"
else:
self._mode = "RGBA"
self._size = width, height
# Image might not be small
Image._decompression_bomb_check(self.size)
# Data is an uncompressed block of w * h * bytes/pixel
self._data_size = width * height * color_depth
def load(self) -> Image.core.PixelAccess | None:
if self._im is None:
self.im = Image.core.new(self.mode, self.size)
self.frombytes(self.fp.read(self._data_size))
return Image.Image.load(self)
#
# registry
Image.register_open(GbrImageFile.format, GbrImageFile, _accept)
Image.register_extension(GbrImageFile.format, ".gbr")

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#
# The Python Imaging Library.
# $Id$
#
# GD file handling
#
# History:
# 1996-04-12 fl Created
#
# Copyright (c) 1997 by Secret Labs AB.
# Copyright (c) 1996 by Fredrik Lundh.
#
# See the README file for information on usage and redistribution.
#
"""
.. note::
This format cannot be automatically recognized, so the
class is not registered for use with :py:func:`PIL.Image.open()`. To open a
gd file, use the :py:func:`PIL.GdImageFile.open()` function instead.
.. warning::
THE GD FORMAT IS NOT DESIGNED FOR DATA INTERCHANGE. This
implementation is provided for convenience and demonstrational
purposes only.
"""
from __future__ import annotations
from typing import IO
from . import ImageFile, ImagePalette, UnidentifiedImageError
from ._binary import i16be as i16
from ._binary import i32be as i32
from ._typing import StrOrBytesPath
class GdImageFile(ImageFile.ImageFile):
"""
Image plugin for the GD uncompressed format. Note that this format
is not supported by the standard :py:func:`PIL.Image.open()` function. To use
this plugin, you have to import the :py:mod:`PIL.GdImageFile` module and
use the :py:func:`PIL.GdImageFile.open()` function.
"""
format = "GD"
format_description = "GD uncompressed images"
def _open(self) -> None:
# Header
assert self.fp is not None
s = self.fp.read(1037)
if i16(s) not in [65534, 65535]:
msg = "Not a valid GD 2.x .gd file"
raise SyntaxError(msg)
self._mode = "P"
self._size = i16(s, 2), i16(s, 4)
true_color = s[6]
true_color_offset = 2 if true_color else 0
# transparency index
tindex = i32(s, 7 + true_color_offset)
if tindex < 256:
self.info["transparency"] = tindex
self.palette = ImagePalette.raw(
"RGBX", s[7 + true_color_offset + 6 : 7 + true_color_offset + 6 + 256 * 4]
)
self.tile = [
ImageFile._Tile(
"raw",
(0, 0) + self.size,
7 + true_color_offset + 6 + 256 * 4,
"L",
)
]
def open(fp: StrOrBytesPath | IO[bytes], mode: str = "r") -> GdImageFile:
"""
Load texture from a GD image file.
:param fp: GD file name, or an opened file handle.
:param mode: Optional mode. In this version, if the mode argument
is given, it must be "r".
:returns: An image instance.
:raises OSError: If the image could not be read.
"""
if mode != "r":
msg = "bad mode"
raise ValueError(msg)
try:
return GdImageFile(fp)
except SyntaxError as e:
msg = "cannot identify this image file"
raise UnidentifiedImageError(msg) from e

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#
# Python Imaging Library
# $Id$
#
# stuff to read (and render) GIMP gradient files
#
# History:
# 97-08-23 fl Created
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1997.
#
# See the README file for information on usage and redistribution.
#
"""
Stuff to translate curve segments to palette values (derived from
the corresponding code in GIMP, written by Federico Mena Quintero.
See the GIMP distribution for more information.)
"""
from __future__ import annotations
from math import log, pi, sin, sqrt
from ._binary import o8
TYPE_CHECKING = False
if TYPE_CHECKING:
from collections.abc import Callable
from typing import IO
EPSILON = 1e-10
"""""" # Enable auto-doc for data member
def linear(middle: float, pos: float) -> float:
if pos <= middle:
if middle < EPSILON:
return 0.0
else:
return 0.5 * pos / middle
else:
pos = pos - middle
middle = 1.0 - middle
if middle < EPSILON:
return 1.0
else:
return 0.5 + 0.5 * pos / middle
def curved(middle: float, pos: float) -> float:
return pos ** (log(0.5) / log(max(middle, EPSILON)))
def sine(middle: float, pos: float) -> float:
return (sin((-pi / 2.0) + pi * linear(middle, pos)) + 1.0) / 2.0
def sphere_increasing(middle: float, pos: float) -> float:
return sqrt(1.0 - (linear(middle, pos) - 1.0) ** 2)
def sphere_decreasing(middle: float, pos: float) -> float:
return 1.0 - sqrt(1.0 - linear(middle, pos) ** 2)
SEGMENTS = [linear, curved, sine, sphere_increasing, sphere_decreasing]
"""""" # Enable auto-doc for data member
class GradientFile:
gradient: (
list[
tuple[
float,
float,
float,
list[float],
list[float],
Callable[[float, float], float],
]
]
| None
) = None
def getpalette(self, entries: int = 256) -> tuple[bytes, str]:
assert self.gradient is not None
palette = []
ix = 0
x0, x1, xm, rgb0, rgb1, segment = self.gradient[ix]
for i in range(entries):
x = i / (entries - 1)
while x1 < x:
ix += 1
x0, x1, xm, rgb0, rgb1, segment = self.gradient[ix]
w = x1 - x0
if w < EPSILON:
scale = segment(0.5, 0.5)
else:
scale = segment((xm - x0) / w, (x - x0) / w)
# expand to RGBA
r = o8(int(255 * ((rgb1[0] - rgb0[0]) * scale + rgb0[0]) + 0.5))
g = o8(int(255 * ((rgb1[1] - rgb0[1]) * scale + rgb0[1]) + 0.5))
b = o8(int(255 * ((rgb1[2] - rgb0[2]) * scale + rgb0[2]) + 0.5))
a = o8(int(255 * ((rgb1[3] - rgb0[3]) * scale + rgb0[3]) + 0.5))
# add to palette
palette.append(r + g + b + a)
return b"".join(palette), "RGBA"
class GimpGradientFile(GradientFile):
"""File handler for GIMP's gradient format."""
def __init__(self, fp: IO[bytes]) -> None:
if not fp.readline().startswith(b"GIMP Gradient"):
msg = "not a GIMP gradient file"
raise SyntaxError(msg)
line = fp.readline()
# GIMP 1.2 gradient files don't contain a name, but GIMP 1.3 files do
if line.startswith(b"Name: "):
line = fp.readline().strip()
count = int(line)
self.gradient = []
for i in range(count):
s = fp.readline().split()
w = [float(x) for x in s[:11]]
x0, x1 = w[0], w[2]
xm = w[1]
rgb0 = w[3:7]
rgb1 = w[7:11]
segment = SEGMENTS[int(s[11])]
cspace = int(s[12])
if cspace != 0:
msg = "cannot handle HSV colour space"
raise OSError(msg)
self.gradient.append((x0, x1, xm, rgb0, rgb1, segment))

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#
# Python Imaging Library
# $Id$
#
# stuff to read GIMP palette files
#
# History:
# 1997-08-23 fl Created
# 2004-09-07 fl Support GIMP 2.0 palette files.
#
# Copyright (c) Secret Labs AB 1997-2004. All rights reserved.
# Copyright (c) Fredrik Lundh 1997-2004.
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
import re
from io import BytesIO
TYPE_CHECKING = False
if TYPE_CHECKING:
from typing import IO
class GimpPaletteFile:
"""File handler for GIMP's palette format."""
rawmode = "RGB"
def _read(self, fp: IO[bytes], limit: bool = True) -> None:
if not fp.readline().startswith(b"GIMP Palette"):
msg = "not a GIMP palette file"
raise SyntaxError(msg)
palette: list[int] = []
i = 0
while True:
if limit and i == 256 + 3:
break
i += 1
s = fp.readline()
if not s:
break
# skip fields and comment lines
if re.match(rb"\w+:|#", s):
continue
if limit and len(s) > 100:
msg = "bad palette file"
raise SyntaxError(msg)
v = s.split(maxsplit=3)
if len(v) < 3:
msg = "bad palette entry"
raise ValueError(msg)
palette += (int(v[i]) for i in range(3))
if limit and len(palette) == 768:
break
self.palette = bytes(palette)
def __init__(self, fp: IO[bytes]) -> None:
self._read(fp)
@classmethod
def frombytes(cls, data: bytes) -> GimpPaletteFile:
self = cls.__new__(cls)
self._read(BytesIO(data), False)
return self
def getpalette(self) -> tuple[bytes, str]:
return self.palette, self.rawmode

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#
# The Python Imaging Library
# $Id$
#
# GRIB stub adapter
#
# Copyright (c) 1996-2003 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
import os
from typing import IO
from . import Image, ImageFile
_handler = None
def register_handler(handler: ImageFile.StubHandler | None) -> None:
"""
Install application-specific GRIB image handler.
:param handler: Handler object.
"""
global _handler
_handler = handler
# --------------------------------------------------------------------
# Image adapter
def _accept(prefix: bytes) -> bool:
return len(prefix) >= 8 and prefix.startswith(b"GRIB") and prefix[7] == 1
class GribStubImageFile(ImageFile.StubImageFile):
format = "GRIB"
format_description = "GRIB"
def _open(self) -> None:
if not _accept(self.fp.read(8)):
msg = "Not a GRIB file"
raise SyntaxError(msg)
self.fp.seek(-8, os.SEEK_CUR)
# make something up
self._mode = "F"
self._size = 1, 1
loader = self._load()
if loader:
loader.open(self)
def _load(self) -> ImageFile.StubHandler | None:
return _handler
def _save(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
if _handler is None or not hasattr(_handler, "save"):
msg = "GRIB save handler not installed"
raise OSError(msg)
_handler.save(im, fp, filename)
# --------------------------------------------------------------------
# Registry
Image.register_open(GribStubImageFile.format, GribStubImageFile, _accept)
Image.register_save(GribStubImageFile.format, _save)
Image.register_extension(GribStubImageFile.format, ".grib")

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#
# The Python Imaging Library
# $Id$
#
# HDF5 stub adapter
#
# Copyright (c) 2000-2003 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
import os
from typing import IO
from . import Image, ImageFile
_handler = None
def register_handler(handler: ImageFile.StubHandler | None) -> None:
"""
Install application-specific HDF5 image handler.
:param handler: Handler object.
"""
global _handler
_handler = handler
# --------------------------------------------------------------------
# Image adapter
def _accept(prefix: bytes) -> bool:
return prefix.startswith(b"\x89HDF\r\n\x1a\n")
class HDF5StubImageFile(ImageFile.StubImageFile):
format = "HDF5"
format_description = "HDF5"
def _open(self) -> None:
if not _accept(self.fp.read(8)):
msg = "Not an HDF file"
raise SyntaxError(msg)
self.fp.seek(-8, os.SEEK_CUR)
# make something up
self._mode = "F"
self._size = 1, 1
loader = self._load()
if loader:
loader.open(self)
def _load(self) -> ImageFile.StubHandler | None:
return _handler
def _save(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
if _handler is None or not hasattr(_handler, "save"):
msg = "HDF5 save handler not installed"
raise OSError(msg)
_handler.save(im, fp, filename)
# --------------------------------------------------------------------
# Registry
Image.register_open(HDF5StubImageFile.format, HDF5StubImageFile, _accept)
Image.register_save(HDF5StubImageFile.format, _save)
Image.register_extensions(HDF5StubImageFile.format, [".h5", ".hdf"])

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venv/lib/python3.10/site-packages/PIL/IcnsImagePlugin.py Normal file
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#
# The Python Imaging Library.
# $Id$
#
# macOS icns file decoder, based on icns.py by Bob Ippolito.
#
# history:
# 2004-10-09 fl Turned into a PIL plugin; removed 2.3 dependencies.
# 2020-04-04 Allow saving on all operating systems.
#
# Copyright (c) 2004 by Bob Ippolito.
# Copyright (c) 2004 by Secret Labs.
# Copyright (c) 2004 by Fredrik Lundh.
# Copyright (c) 2014 by Alastair Houghton.
# Copyright (c) 2020 by Pan Jing.
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
import io
import os
import struct
import sys
from typing import IO
from . import Image, ImageFile, PngImagePlugin, features
enable_jpeg2k = features.check_codec("jpg_2000")
if enable_jpeg2k:
from . import Jpeg2KImagePlugin
MAGIC = b"icns"
HEADERSIZE = 8
def nextheader(fobj: IO[bytes]) -> tuple[bytes, int]:
return struct.unpack(">4sI", fobj.read(HEADERSIZE))
def read_32t(
fobj: IO[bytes], start_length: tuple[int, int], size: tuple[int, int, int]
) -> dict[str, Image.Image]:
# The 128x128 icon seems to have an extra header for some reason.
(start, length) = start_length
fobj.seek(start)
sig = fobj.read(4)
if sig != b"\x00\x00\x00\x00":
msg = "Unknown signature, expecting 0x00000000"
raise SyntaxError(msg)
return read_32(fobj, (start + 4, length - 4), size)
def read_32(
fobj: IO[bytes], start_length: tuple[int, int], size: tuple[int, int, int]
) -> dict[str, Image.Image]:
"""
Read a 32bit RGB icon resource. Seems to be either uncompressed or
an RLE packbits-like scheme.
"""
(start, length) = start_length
fobj.seek(start)
pixel_size = (size[0] * size[2], size[1] * size[2])
sizesq = pixel_size[0] * pixel_size[1]
if length == sizesq * 3:
# uncompressed ("RGBRGBGB")
indata = fobj.read(length)
im = Image.frombuffer("RGB", pixel_size, indata, "raw", "RGB", 0, 1)
else:
# decode image
im = Image.new("RGB", pixel_size, None)
for band_ix in range(3):
data = []
bytesleft = sizesq
while bytesleft > 0:
byte = fobj.read(1)
if not byte:
break
byte_int = byte[0]
if byte_int & 0x80:
blocksize = byte_int - 125
byte = fobj.read(1)
for i in range(blocksize):
data.append(byte)
else:
blocksize = byte_int + 1
data.append(fobj.read(blocksize))
bytesleft -= blocksize
if bytesleft <= 0:
break
if bytesleft != 0:
msg = f"Error reading channel [{repr(bytesleft)} left]"
raise SyntaxError(msg)
band = Image.frombuffer("L", pixel_size, b"".join(data), "raw", "L", 0, 1)
im.im.putband(band.im, band_ix)
return {"RGB": im}
def read_mk(
fobj: IO[bytes], start_length: tuple[int, int], size: tuple[int, int, int]
) -> dict[str, Image.Image]:
# Alpha masks seem to be uncompressed
start = start_length[0]
fobj.seek(start)
pixel_size = (size[0] * size[2], size[1] * size[2])
sizesq = pixel_size[0] * pixel_size[1]
band = Image.frombuffer("L", pixel_size, fobj.read(sizesq), "raw", "L", 0, 1)
return {"A": band}
def read_png_or_jpeg2000(
fobj: IO[bytes], start_length: tuple[int, int], size: tuple[int, int, int]
) -> dict[str, Image.Image]:
(start, length) = start_length
fobj.seek(start)
sig = fobj.read(12)
im: Image.Image
if sig.startswith(b"\x89PNG\x0d\x0a\x1a\x0a"):
fobj.seek(start)
im = PngImagePlugin.PngImageFile(fobj)
Image._decompression_bomb_check(im.size)
return {"RGBA": im}
elif (
sig.startswith((b"\xff\x4f\xff\x51", b"\x0d\x0a\x87\x0a"))
or sig == b"\x00\x00\x00\x0cjP \x0d\x0a\x87\x0a"
):
if not enable_jpeg2k:
msg = (
"Unsupported icon subimage format (rebuild PIL "
"with JPEG 2000 support to fix this)"
)
raise ValueError(msg)
# j2k, jpc or j2c
fobj.seek(start)
jp2kstream = fobj.read(length)
f = io.BytesIO(jp2kstream)
im = Jpeg2KImagePlugin.Jpeg2KImageFile(f)
Image._decompression_bomb_check(im.size)
if im.mode != "RGBA":
im = im.convert("RGBA")
return {"RGBA": im}
else:
msg = "Unsupported icon subimage format"
raise ValueError(msg)
class IcnsFile:
SIZES = {
(512, 512, 2): [(b"ic10", read_png_or_jpeg2000)],
(512, 512, 1): [(b"ic09", read_png_or_jpeg2000)],
(256, 256, 2): [(b"ic14", read_png_or_jpeg2000)],
(256, 256, 1): [(b"ic08", read_png_or_jpeg2000)],
(128, 128, 2): [(b"ic13", read_png_or_jpeg2000)],
(128, 128, 1): [
(b"ic07", read_png_or_jpeg2000),
(b"it32", read_32t),
(b"t8mk", read_mk),
],
(64, 64, 1): [(b"icp6", read_png_or_jpeg2000)],
(32, 32, 2): [(b"ic12", read_png_or_jpeg2000)],
(48, 48, 1): [(b"ih32", read_32), (b"h8mk", read_mk)],
(32, 32, 1): [
(b"icp5", read_png_or_jpeg2000),
(b"il32", read_32),
(b"l8mk", read_mk),
],
(16, 16, 2): [(b"ic11", read_png_or_jpeg2000)],
(16, 16, 1): [
(b"icp4", read_png_or_jpeg2000),
(b"is32", read_32),
(b"s8mk", read_mk),
],
}
def __init__(self, fobj: IO[bytes]) -> None:
"""
fobj is a file-like object as an icns resource
"""
# signature : (start, length)
self.dct = {}
self.fobj = fobj
sig, filesize = nextheader(fobj)
if not _accept(sig):
msg = "not an icns file"
raise SyntaxError(msg)
i = HEADERSIZE
while i < filesize:
sig, blocksize = nextheader(fobj)
if blocksize <= 0:
msg = "invalid block header"
raise SyntaxError(msg)
i += HEADERSIZE
blocksize -= HEADERSIZE
self.dct[sig] = (i, blocksize)
fobj.seek(blocksize, io.SEEK_CUR)
i += blocksize
def itersizes(self) -> list[tuple[int, int, int]]:
sizes = []
for size, fmts in self.SIZES.items():
for fmt, reader in fmts:
if fmt in self.dct:
sizes.append(size)
break
return sizes
def bestsize(self) -> tuple[int, int, int]:
sizes = self.itersizes()
if not sizes:
msg = "No 32bit icon resources found"
raise SyntaxError(msg)
return max(sizes)
def dataforsize(self, size: tuple[int, int, int]) -> dict[str, Image.Image]:
"""
Get an icon resource as {channel: array}. Note that
the arrays are bottom-up like windows bitmaps and will likely
need to be flipped or transposed in some way.
"""
dct = {}
for code, reader in self.SIZES[size]:
desc = self.dct.get(code)
if desc is not None:
dct.update(reader(self.fobj, desc, size))
return dct
def getimage(
self, size: tuple[int, int] | tuple[int, int, int] | None = None
) -> Image.Image:
if size is None:
size = self.bestsize()
elif len(size) == 2:
size = (size[0], size[1], 1)
channels = self.dataforsize(size)
im = channels.get("RGBA")
if im:
return im
im = channels["RGB"].copy()
try:
im.putalpha(channels["A"])
except KeyError:
pass
return im
##
# Image plugin for Mac OS icons.
class IcnsImageFile(ImageFile.ImageFile):
"""
PIL image support for Mac OS .icns files.
Chooses the best resolution, but will possibly load
a different size image if you mutate the size attribute
before calling 'load'.
The info dictionary has a key 'sizes' that is a list
of sizes that the icns file has.
"""
format = "ICNS"
format_description = "Mac OS icns resource"
def _open(self) -> None:
self.icns = IcnsFile(self.fp)
self._mode = "RGBA"
self.info["sizes"] = self.icns.itersizes()
self.best_size = self.icns.bestsize()
self.size = (
self.best_size[0] * self.best_size[2],
self.best_size[1] * self.best_size[2],
)
@property
def size(self) -> tuple[int, int]:
return self._size
@size.setter
def size(self, value: tuple[int, int]) -> None:
# Check that a matching size exists,
# or that there is a scale that would create a size that matches
for size in self.info["sizes"]:
simple_size = size[0] * size[2], size[1] * size[2]
scale = simple_size[0] // value[0]
if simple_size[1] / value[1] == scale:
self._size = value
return
msg = "This is not one of the allowed sizes of this image"
raise ValueError(msg)
def load(self, scale: int | None = None) -> Image.core.PixelAccess | None:
if scale is not None:
width, height = self.size[:2]
self.size = width * scale, height * scale
self.best_size = width, height, scale
px = Image.Image.load(self)
if self._im is not None and self.im.size == self.size:
# Already loaded
return px
self.load_prepare()
# This is likely NOT the best way to do it, but whatever.
im = self.icns.getimage(self.best_size)
# If this is a PNG or JPEG 2000, it won't be loaded yet
px = im.load()
self.im = im.im
self._mode = im.mode
self.size = im.size
return px
def _save(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
"""
Saves the image as a series of PNG files,
that are then combined into a .icns file.
"""
if hasattr(fp, "flush"):
fp.flush()
sizes = {
b"ic07": 128,
b"ic08": 256,
b"ic09": 512,
b"ic10": 1024,
b"ic11": 32,
b"ic12": 64,
b"ic13": 256,
b"ic14": 512,
}
provided_images = {im.width: im for im in im.encoderinfo.get("append_images", [])}
size_streams = {}
for size in set(sizes.values()):
image = (
provided_images[size]
if size in provided_images
else im.resize((size, size))
)
temp = io.BytesIO()
image.save(temp, "png")
size_streams[size] = temp.getvalue()
entries = []
for type, size in sizes.items():
stream = size_streams[size]
entries.append((type, HEADERSIZE + len(stream), stream))
# Header
fp.write(MAGIC)
file_length = HEADERSIZE # Header
file_length += HEADERSIZE + 8 * len(entries) # TOC
file_length += sum(entry[1] for entry in entries)
fp.write(struct.pack(">i", file_length))
# TOC
fp.write(b"TOC ")
fp.write(struct.pack(">i", HEADERSIZE + len(entries) * HEADERSIZE))
for entry in entries:
fp.write(entry[0])
fp.write(struct.pack(">i", entry[1]))
# Data
for entry in entries:
fp.write(entry[0])
fp.write(struct.pack(">i", entry[1]))
fp.write(entry[2])
if hasattr(fp, "flush"):
fp.flush()
def _accept(prefix: bytes) -> bool:
return prefix.startswith(MAGIC)
Image.register_open(IcnsImageFile.format, IcnsImageFile, _accept)
Image.register_extension(IcnsImageFile.format, ".icns")
Image.register_save(IcnsImageFile.format, _save)
Image.register_mime(IcnsImageFile.format, "image/icns")
if __name__ == "__main__":
if len(sys.argv) < 2:
print("Syntax: python3 IcnsImagePlugin.py [file]")
sys.exit()
with open(sys.argv[1], "rb") as fp:
imf = IcnsImageFile(fp)
for size in imf.info["sizes"]:
width, height, scale = imf.size = size
imf.save(f"out-{width}-{height}-{scale}.png")
with Image.open(sys.argv[1]) as im:
im.save("out.png")
if sys.platform == "windows":
os.startfile("out.png")

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#
# The Python Imaging Library.
# $Id$
#
# Windows Icon support for PIL
#
# History:
# 96-05-27 fl Created
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1996.
#
# See the README file for information on usage and redistribution.
#
# This plugin is a refactored version of Win32IconImagePlugin by Bryan Davis
# <casadebender@gmail.com>.
# https://code.google.com/archive/p/casadebender/wikis/Win32IconImagePlugin.wiki
#
# Icon format references:
# * https://en.wikipedia.org/wiki/ICO_(file_format)
# * https://msdn.microsoft.com/en-us/library/ms997538.aspx
from __future__ import annotations
import warnings
from io import BytesIO
from math import ceil, log
from typing import IO, NamedTuple
from . import BmpImagePlugin, Image, ImageFile, PngImagePlugin
from ._binary import i16le as i16
from ._binary import i32le as i32
from ._binary import o8
from ._binary import o16le as o16
from ._binary import o32le as o32
#
# --------------------------------------------------------------------
_MAGIC = b"\0\0\1\0"
def _save(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
fp.write(_MAGIC) # (2+2)
bmp = im.encoderinfo.get("bitmap_format") == "bmp"
sizes = im.encoderinfo.get(
"sizes",
[(16, 16), (24, 24), (32, 32), (48, 48), (64, 64), (128, 128), (256, 256)],
)
frames = []
provided_ims = [im] + im.encoderinfo.get("append_images", [])
width, height = im.size
for size in sorted(set(sizes)):
if size[0] > width or size[1] > height or size[0] > 256 or size[1] > 256:
continue
for provided_im in provided_ims:
if provided_im.size != size:
continue
frames.append(provided_im)
if bmp:
bits = BmpImagePlugin.SAVE[provided_im.mode][1]
bits_used = [bits]
for other_im in provided_ims:
if other_im.size != size:
continue
bits = BmpImagePlugin.SAVE[other_im.mode][1]
if bits not in bits_used:
# Another image has been supplied for this size
# with a different bit depth
frames.append(other_im)
bits_used.append(bits)
break
else:
# TODO: invent a more convenient method for proportional scalings
frame = provided_im.copy()
frame.thumbnail(size, Image.Resampling.LANCZOS, reducing_gap=None)
frames.append(frame)
fp.write(o16(len(frames))) # idCount(2)
offset = fp.tell() + len(frames) * 16
for frame in frames:
width, height = frame.size
# 0 means 256
fp.write(o8(width if width < 256 else 0)) # bWidth(1)
fp.write(o8(height if height < 256 else 0)) # bHeight(1)
bits, colors = BmpImagePlugin.SAVE[frame.mode][1:] if bmp else (32, 0)
fp.write(o8(colors)) # bColorCount(1)
fp.write(b"\0") # bReserved(1)
fp.write(b"\0\0") # wPlanes(2)
fp.write(o16(bits)) # wBitCount(2)
image_io = BytesIO()
if bmp:
frame.save(image_io, "dib")
if bits != 32:
and_mask = Image.new("1", size)
ImageFile._save(
and_mask,
image_io,
[ImageFile._Tile("raw", (0, 0) + size, 0, ("1", 0, -1))],
)
else:
frame.save(image_io, "png")
image_io.seek(0)
image_bytes = image_io.read()
if bmp:
image_bytes = image_bytes[:8] + o32(height * 2) + image_bytes[12:]
bytes_len = len(image_bytes)
fp.write(o32(bytes_len)) # dwBytesInRes(4)
fp.write(o32(offset)) # dwImageOffset(4)
current = fp.tell()
fp.seek(offset)
fp.write(image_bytes)
offset = offset + bytes_len
fp.seek(current)
def _accept(prefix: bytes) -> bool:
return prefix.startswith(_MAGIC)
class IconHeader(NamedTuple):
width: int
height: int
nb_color: int
reserved: int
planes: int
bpp: int
size: int
offset: int
dim: tuple[int, int]
square: int
color_depth: int
class IcoFile:
def __init__(self, buf: IO[bytes]) -> None:
"""
Parse image from file-like object containing ico file data
"""
# check magic
s = buf.read(6)
if not _accept(s):
msg = "not an ICO file"
raise SyntaxError(msg)
self.buf = buf
self.entry = []
# Number of items in file
self.nb_items = i16(s, 4)
# Get headers for each item
for i in range(self.nb_items):
s = buf.read(16)
# See Wikipedia
width = s[0] or 256
height = s[1] or 256
# No. of colors in image (0 if >=8bpp)
nb_color = s[2]
bpp = i16(s, 6)
icon_header = IconHeader(
width=width,
height=height,
nb_color=nb_color,
reserved=s[3],
planes=i16(s, 4),
bpp=i16(s, 6),
size=i32(s, 8),
offset=i32(s, 12),
dim=(width, height),
square=width * height,
# See Wikipedia notes about color depth.
# We need this just to differ images with equal sizes
color_depth=bpp or (nb_color != 0 and ceil(log(nb_color, 2))) or 256,
)
self.entry.append(icon_header)
self.entry = sorted(self.entry, key=lambda x: x.color_depth)
# ICO images are usually squares
self.entry = sorted(self.entry, key=lambda x: x.square, reverse=True)
def sizes(self) -> set[tuple[int, int]]:
"""
Get a set of all available icon sizes and color depths.
"""
return {(h.width, h.height) for h in self.entry}
def getentryindex(self, size: tuple[int, int], bpp: int | bool = False) -> int:
for i, h in enumerate(self.entry):
if size == h.dim and (bpp is False or bpp == h.color_depth):
return i
return 0
def getimage(self, size: tuple[int, int], bpp: int | bool = False) -> Image.Image:
"""
Get an image from the icon
"""
return self.frame(self.getentryindex(size, bpp))
def frame(self, idx: int) -> Image.Image:
"""
Get an image from frame idx
"""
header = self.entry[idx]
self.buf.seek(header.offset)
data = self.buf.read(8)
self.buf.seek(header.offset)
im: Image.Image
if data[:8] == PngImagePlugin._MAGIC:
# png frame
im = PngImagePlugin.PngImageFile(self.buf)
Image._decompression_bomb_check(im.size)
else:
# XOR + AND mask bmp frame
im = BmpImagePlugin.DibImageFile(self.buf)
Image._decompression_bomb_check(im.size)
# change tile dimension to only encompass XOR image
im._size = (im.size[0], int(im.size[1] / 2))
d, e, o, a = im.tile[0]
im.tile[0] = ImageFile._Tile(d, (0, 0) + im.size, o, a)
# figure out where AND mask image starts
if header.bpp == 32:
# 32-bit color depth icon image allows semitransparent areas
# PIL's DIB format ignores transparency bits, recover them.
# The DIB is packed in BGRX byte order where X is the alpha
# channel.
# Back up to start of bmp data
self.buf.seek(o)
# extract every 4th byte (eg. 3,7,11,15,...)
alpha_bytes = self.buf.read(im.size[0] * im.size[1] * 4)[3::4]
# convert to an 8bpp grayscale image
try:
mask = Image.frombuffer(
"L", # 8bpp
im.size, # (w, h)
alpha_bytes, # source chars
"raw", # raw decoder
("L", 0, -1), # 8bpp inverted, unpadded, reversed
)
except ValueError:
if ImageFile.LOAD_TRUNCATED_IMAGES:
mask = None
else:
raise
else:
# get AND image from end of bitmap
w = im.size[0]
if (w % 32) > 0:
# bitmap row data is aligned to word boundaries
w += 32 - (im.size[0] % 32)
# the total mask data is
# padded row size * height / bits per char
total_bytes = int((w * im.size[1]) / 8)
and_mask_offset = header.offset + header.size - total_bytes
self.buf.seek(and_mask_offset)
mask_data = self.buf.read(total_bytes)
# convert raw data to image
try:
mask = Image.frombuffer(
"1", # 1 bpp
im.size, # (w, h)
mask_data, # source chars
"raw", # raw decoder
("1;I", int(w / 8), -1), # 1bpp inverted, padded, reversed
)
except ValueError:
if ImageFile.LOAD_TRUNCATED_IMAGES:
mask = None
else:
raise
# now we have two images, im is XOR image and mask is AND image
# apply mask image as alpha channel
if mask:
im = im.convert("RGBA")
im.putalpha(mask)
return im
##
# Image plugin for Windows Icon files.
class IcoImageFile(ImageFile.ImageFile):
"""
PIL read-only image support for Microsoft Windows .ico files.
By default the largest resolution image in the file will be loaded. This
can be changed by altering the 'size' attribute before calling 'load'.
The info dictionary has a key 'sizes' that is a list of the sizes available
in the icon file.
Handles classic, XP and Vista icon formats.
When saving, PNG compression is used. Support for this was only added in
Windows Vista. If you are unable to view the icon in Windows, convert the
image to "RGBA" mode before saving.
This plugin is a refactored version of Win32IconImagePlugin by Bryan Davis
<casadebender@gmail.com>.
https://code.google.com/archive/p/casadebender/wikis/Win32IconImagePlugin.wiki
"""
format = "ICO"
format_description = "Windows Icon"
def _open(self) -> None:
self.ico = IcoFile(self.fp)
self.info["sizes"] = self.ico.sizes()
self.size = self.ico.entry[0].dim
self.load()
@property
def size(self) -> tuple[int, int]:
return self._size
@size.setter
def size(self, value: tuple[int, int]) -> None:
if value not in self.info["sizes"]:
msg = "This is not one of the allowed sizes of this image"
raise ValueError(msg)
self._size = value
def load(self) -> Image.core.PixelAccess | None:
if self._im is not None and self.im.size == self.size:
# Already loaded
return Image.Image.load(self)
im = self.ico.getimage(self.size)
# if tile is PNG, it won't really be loaded yet
im.load()
self.im = im.im
self._mode = im.mode
if im.palette:
self.palette = im.palette
if im.size != self.size:
warnings.warn("Image was not the expected size")
index = self.ico.getentryindex(self.size)
sizes = list(self.info["sizes"])
sizes[index] = im.size
self.info["sizes"] = set(sizes)
self.size = im.size
return Image.Image.load(self)
def load_seek(self, pos: int) -> None:
# Flag the ImageFile.Parser so that it
# just does all the decode at the end.
pass
#
# --------------------------------------------------------------------
Image.register_open(IcoImageFile.format, IcoImageFile, _accept)
Image.register_save(IcoImageFile.format, _save)
Image.register_extension(IcoImageFile.format, ".ico")
Image.register_mime(IcoImageFile.format, "image/x-icon")

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#
# The Python Imaging Library.
# $Id$
#
# IFUNC IM file handling for PIL
#
# history:
# 1995-09-01 fl Created.
# 1997-01-03 fl Save palette images
# 1997-01-08 fl Added sequence support
# 1997-01-23 fl Added P and RGB save support
# 1997-05-31 fl Read floating point images
# 1997-06-22 fl Save floating point images
# 1997-08-27 fl Read and save 1-bit images
# 1998-06-25 fl Added support for RGB+LUT images
# 1998-07-02 fl Added support for YCC images
# 1998-07-15 fl Renamed offset attribute to avoid name clash
# 1998-12-29 fl Added I;16 support
# 2001-02-17 fl Use 're' instead of 'regex' (Python 2.1) (0.7)
# 2003-09-26 fl Added LA/PA support
#
# Copyright (c) 1997-2003 by Secret Labs AB.
# Copyright (c) 1995-2001 by Fredrik Lundh.
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
import os
import re
from typing import IO, Any
from . import Image, ImageFile, ImagePalette
from ._util import DeferredError
# --------------------------------------------------------------------
# Standard tags
COMMENT = "Comment"
DATE = "Date"
EQUIPMENT = "Digitalization equipment"
FRAMES = "File size (no of images)"
LUT = "Lut"
NAME = "Name"
SCALE = "Scale (x,y)"
SIZE = "Image size (x*y)"
MODE = "Image type"
TAGS = {
COMMENT: 0,
DATE: 0,
EQUIPMENT: 0,
FRAMES: 0,
LUT: 0,
NAME: 0,
SCALE: 0,
SIZE: 0,
MODE: 0,
}
OPEN = {
# ifunc93/p3cfunc formats
"0 1 image": ("1", "1"),
"L 1 image": ("1", "1"),
"Greyscale image": ("L", "L"),
"Grayscale image": ("L", "L"),
"RGB image": ("RGB", "RGB;L"),
"RLB image": ("RGB", "RLB"),
"RYB image": ("RGB", "RLB"),
"B1 image": ("1", "1"),
"B2 image": ("P", "P;2"),
"B4 image": ("P", "P;4"),
"X 24 image": ("RGB", "RGB"),
"L 32 S image": ("I", "I;32"),
"L 32 F image": ("F", "F;32"),
# old p3cfunc formats
"RGB3 image": ("RGB", "RGB;T"),
"RYB3 image": ("RGB", "RYB;T"),
# extensions
"LA image": ("LA", "LA;L"),
"PA image": ("LA", "PA;L"),
"RGBA image": ("RGBA", "RGBA;L"),
"RGBX image": ("RGB", "RGBX;L"),
"CMYK image": ("CMYK", "CMYK;L"),
"YCC image": ("YCbCr", "YCbCr;L"),
}
# ifunc95 extensions
for i in ["8", "8S", "16", "16S", "32", "32F"]:
OPEN[f"L {i} image"] = ("F", f"F;{i}")
OPEN[f"L*{i} image"] = ("F", f"F;{i}")
for i in ["16", "16L", "16B"]:
OPEN[f"L {i} image"] = (f"I;{i}", f"I;{i}")
OPEN[f"L*{i} image"] = (f"I;{i}", f"I;{i}")
for i in ["32S"]:
OPEN[f"L {i} image"] = ("I", f"I;{i}")
OPEN[f"L*{i} image"] = ("I", f"I;{i}")
for j in range(2, 33):
OPEN[f"L*{j} image"] = ("F", f"F;{j}")
# --------------------------------------------------------------------
# Read IM directory
split = re.compile(rb"^([A-Za-z][^:]*):[ \t]*(.*)[ \t]*$")
def number(s: Any) -> float:
try:
return int(s)
except ValueError:
return float(s)
##
# Image plugin for the IFUNC IM file format.
class ImImageFile(ImageFile.ImageFile):
format = "IM"
format_description = "IFUNC Image Memory"
_close_exclusive_fp_after_loading = False
def _open(self) -> None:
# Quick rejection: if there's not an LF among the first
# 100 bytes, this is (probably) not a text header.
if b"\n" not in self.fp.read(100):
msg = "not an IM file"
raise SyntaxError(msg)
self.fp.seek(0)
n = 0
# Default values
self.info[MODE] = "L"
self.info[SIZE] = (512, 512)
self.info[FRAMES] = 1
self.rawmode = "L"
while True:
s = self.fp.read(1)
# Some versions of IFUNC uses \n\r instead of \r\n...
if s == b"\r":
continue
if not s or s == b"\0" or s == b"\x1a":
break
# FIXME: this may read whole file if not a text file
s = s + self.fp.readline()
if len(s) > 100:
msg = "not an IM file"
raise SyntaxError(msg)
if s.endswith(b"\r\n"):
s = s[:-2]
elif s.endswith(b"\n"):
s = s[:-1]
try:
m = split.match(s)
except re.error as e:
msg = "not an IM file"
raise SyntaxError(msg) from e
if m:
k, v = m.group(1, 2)
# Don't know if this is the correct encoding,
# but a decent guess (I guess)
k = k.decode("latin-1", "replace")
v = v.decode("latin-1", "replace")
# Convert value as appropriate
if k in [FRAMES, SCALE, SIZE]:
v = v.replace("*", ",")
v = tuple(map(number, v.split(",")))
if len(v) == 1:
v = v[0]
elif k == MODE and v in OPEN:
v, self.rawmode = OPEN[v]
# Add to dictionary. Note that COMMENT tags are
# combined into a list of strings.
if k == COMMENT:
if k in self.info:
self.info[k].append(v)
else:
self.info[k] = [v]
else:
self.info[k] = v
if k in TAGS:
n += 1
else:
msg = f"Syntax error in IM header: {s.decode('ascii', 'replace')}"
raise SyntaxError(msg)
if not n:
msg = "Not an IM file"
raise SyntaxError(msg)
# Basic attributes
self._size = self.info[SIZE]
self._mode = self.info[MODE]
# Skip forward to start of image data
while s and not s.startswith(b"\x1a"):
s = self.fp.read(1)
if not s:
msg = "File truncated"
raise SyntaxError(msg)
if LUT in self.info:
# convert lookup table to palette or lut attribute
palette = self.fp.read(768)
greyscale = 1 # greyscale palette
linear = 1 # linear greyscale palette
for i in range(256):
if palette[i] == palette[i + 256] == palette[i + 512]:
if palette[i] != i:
linear = 0
else:
greyscale = 0
if self.mode in ["L", "LA", "P", "PA"]:
if greyscale:
if not linear:
self.lut = list(palette[:256])
else:
if self.mode in ["L", "P"]:
self._mode = self.rawmode = "P"
elif self.mode in ["LA", "PA"]:
self._mode = "PA"
self.rawmode = "PA;L"
self.palette = ImagePalette.raw("RGB;L", palette)
elif self.mode == "RGB":
if not greyscale or not linear:
self.lut = list(palette)
self.frame = 0
self.__offset = offs = self.fp.tell()
self._fp = self.fp # FIXME: hack
if self.rawmode.startswith("F;"):
# ifunc95 formats
try:
# use bit decoder (if necessary)
bits = int(self.rawmode[2:])
if bits not in [8, 16, 32]:
self.tile = [
ImageFile._Tile(
"bit", (0, 0) + self.size, offs, (bits, 8, 3, 0, -1)
)
]
return
except ValueError:
pass
if self.rawmode in ["RGB;T", "RYB;T"]:
# Old LabEye/3PC files. Would be very surprised if anyone
# ever stumbled upon such a file ;-)
size = self.size[0] * self.size[1]
self.tile = [
ImageFile._Tile("raw", (0, 0) + self.size, offs, ("G", 0, -1)),
ImageFile._Tile("raw", (0, 0) + self.size, offs + size, ("R", 0, -1)),
ImageFile._Tile(
"raw", (0, 0) + self.size, offs + 2 * size, ("B", 0, -1)
),
]
else:
# LabEye/IFUNC files
self.tile = [
ImageFile._Tile("raw", (0, 0) + self.size, offs, (self.rawmode, 0, -1))
]
@property
def n_frames(self) -> int:
return self.info[FRAMES]
@property
def is_animated(self) -> bool:
return self.info[FRAMES] > 1
def seek(self, frame: int) -> None:
if not self._seek_check(frame):
return
if isinstance(self._fp, DeferredError):
raise self._fp.ex
self.frame = frame
if self.mode == "1":
bits = 1
else:
bits = 8 * len(self.mode)
size = ((self.size[0] * bits + 7) // 8) * self.size[1]
offs = self.__offset + frame * size
self.fp = self._fp
self.tile = [
ImageFile._Tile("raw", (0, 0) + self.size, offs, (self.rawmode, 0, -1))
]
def tell(self) -> int:
return self.frame
#
# --------------------------------------------------------------------
# Save IM files
SAVE = {
# mode: (im type, raw mode)
"1": ("0 1", "1"),
"L": ("Greyscale", "L"),
"LA": ("LA", "LA;L"),
"P": ("Greyscale", "P"),
"PA": ("LA", "PA;L"),
"I": ("L 32S", "I;32S"),
"I;16": ("L 16", "I;16"),
"I;16L": ("L 16L", "I;16L"),
"I;16B": ("L 16B", "I;16B"),
"F": ("L 32F", "F;32F"),
"RGB": ("RGB", "RGB;L"),
"RGBA": ("RGBA", "RGBA;L"),
"RGBX": ("RGBX", "RGBX;L"),
"CMYK": ("CMYK", "CMYK;L"),
"YCbCr": ("YCC", "YCbCr;L"),
}
def _save(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
try:
image_type, rawmode = SAVE[im.mode]
except KeyError as e:
msg = f"Cannot save {im.mode} images as IM"
raise ValueError(msg) from e
frames = im.encoderinfo.get("frames", 1)
fp.write(f"Image type: {image_type} image\r\n".encode("ascii"))
if filename:
# Each line must be 100 characters or less,
# or: SyntaxError("not an IM file")
# 8 characters are used for "Name: " and "\r\n"
# Keep just the filename, ditch the potentially overlong path
if isinstance(filename, bytes):
filename = filename.decode("ascii")
name, ext = os.path.splitext(os.path.basename(filename))
name = "".join([name[: 92 - len(ext)], ext])
fp.write(f"Name: {name}\r\n".encode("ascii"))
fp.write(f"Image size (x*y): {im.size[0]}*{im.size[1]}\r\n".encode("ascii"))
fp.write(f"File size (no of images): {frames}\r\n".encode("ascii"))
if im.mode in ["P", "PA"]:
fp.write(b"Lut: 1\r\n")
fp.write(b"\000" * (511 - fp.tell()) + b"\032")
if im.mode in ["P", "PA"]:
im_palette = im.im.getpalette("RGB", "RGB;L")
colors = len(im_palette) // 3
palette = b""
for i in range(3):
palette += im_palette[colors * i : colors * (i + 1)]
palette += b"\x00" * (256 - colors)
fp.write(palette) # 768 bytes
ImageFile._save(
im, fp, [ImageFile._Tile("raw", (0, 0) + im.size, 0, (rawmode, 0, -1))]
)
#
# --------------------------------------------------------------------
# Registry
Image.register_open(ImImageFile.format, ImImageFile)
Image.register_save(ImImageFile.format, _save)
Image.register_extension(ImImageFile.format, ".im")

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#
# The Python Imaging Library.
# $Id$
#
# standard channel operations
#
# History:
# 1996-03-24 fl Created
# 1996-08-13 fl Added logical operations (for "1" images)
# 2000-10-12 fl Added offset method (from Image.py)
#
# Copyright (c) 1997-2000 by Secret Labs AB
# Copyright (c) 1996-2000 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
from . import Image
def constant(image: Image.Image, value: int) -> Image.Image:
"""Fill a channel with a given gray level.
:rtype: :py:class:`~PIL.Image.Image`
"""
return Image.new("L", image.size, value)
def duplicate(image: Image.Image) -> Image.Image:
"""Copy a channel. Alias for :py:meth:`PIL.Image.Image.copy`.
:rtype: :py:class:`~PIL.Image.Image`
"""
return image.copy()
def invert(image: Image.Image) -> Image.Image:
"""
Invert an image (channel). ::
out = MAX - image
:rtype: :py:class:`~PIL.Image.Image`
"""
image.load()
return image._new(image.im.chop_invert())
def lighter(image1: Image.Image, image2: Image.Image) -> Image.Image:
"""
Compares the two images, pixel by pixel, and returns a new image containing
the lighter values. ::
out = max(image1, image2)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_lighter(image2.im))
def darker(image1: Image.Image, image2: Image.Image) -> Image.Image:
"""
Compares the two images, pixel by pixel, and returns a new image containing
the darker values. ::
out = min(image1, image2)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_darker(image2.im))
def difference(image1: Image.Image, image2: Image.Image) -> Image.Image:
"""
Returns the absolute value of the pixel-by-pixel difference between the two
images. ::
out = abs(image1 - image2)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_difference(image2.im))
def multiply(image1: Image.Image, image2: Image.Image) -> Image.Image:
"""
Superimposes two images on top of each other.
If you multiply an image with a solid black image, the result is black. If
you multiply with a solid white image, the image is unaffected. ::
out = image1 * image2 / MAX
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_multiply(image2.im))
def screen(image1: Image.Image, image2: Image.Image) -> Image.Image:
"""
Superimposes two inverted images on top of each other. ::
out = MAX - ((MAX - image1) * (MAX - image2) / MAX)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_screen(image2.im))
def soft_light(image1: Image.Image, image2: Image.Image) -> Image.Image:
"""
Superimposes two images on top of each other using the Soft Light algorithm
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_soft_light(image2.im))
def hard_light(image1: Image.Image, image2: Image.Image) -> Image.Image:
"""
Superimposes two images on top of each other using the Hard Light algorithm
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_hard_light(image2.im))
def overlay(image1: Image.Image, image2: Image.Image) -> Image.Image:
"""
Superimposes two images on top of each other using the Overlay algorithm
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_overlay(image2.im))
def add(
image1: Image.Image, image2: Image.Image, scale: float = 1.0, offset: float = 0
) -> Image.Image:
"""
Adds two images, dividing the result by scale and adding the
offset. If omitted, scale defaults to 1.0, and offset to 0.0. ::
out = ((image1 + image2) / scale + offset)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_add(image2.im, scale, offset))
def subtract(
image1: Image.Image, image2: Image.Image, scale: float = 1.0, offset: float = 0
) -> Image.Image:
"""
Subtracts two images, dividing the result by scale and adding the offset.
If omitted, scale defaults to 1.0, and offset to 0.0. ::
out = ((image1 - image2) / scale + offset)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_subtract(image2.im, scale, offset))
def add_modulo(image1: Image.Image, image2: Image.Image) -> Image.Image:
"""Add two images, without clipping the result. ::
out = ((image1 + image2) % MAX)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_add_modulo(image2.im))
def subtract_modulo(image1: Image.Image, image2: Image.Image) -> Image.Image:
"""Subtract two images, without clipping the result. ::
out = ((image1 - image2) % MAX)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_subtract_modulo(image2.im))
def logical_and(image1: Image.Image, image2: Image.Image) -> Image.Image:
"""Logical AND between two images.
Both of the images must have mode "1". If you would like to perform a
logical AND on an image with a mode other than "1", try
:py:meth:`~PIL.ImageChops.multiply` instead, using a black-and-white mask
as the second image. ::
out = ((image1 and image2) % MAX)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_and(image2.im))
def logical_or(image1: Image.Image, image2: Image.Image) -> Image.Image:
"""Logical OR between two images.
Both of the images must have mode "1". ::
out = ((image1 or image2) % MAX)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_or(image2.im))
def logical_xor(image1: Image.Image, image2: Image.Image) -> Image.Image:
"""Logical XOR between two images.
Both of the images must have mode "1". ::
out = ((bool(image1) != bool(image2)) % MAX)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_xor(image2.im))
def blend(image1: Image.Image, image2: Image.Image, alpha: float) -> Image.Image:
"""Blend images using constant transparency weight. Alias for
:py:func:`PIL.Image.blend`.
:rtype: :py:class:`~PIL.Image.Image`
"""
return Image.blend(image1, image2, alpha)
def composite(
image1: Image.Image, image2: Image.Image, mask: Image.Image
) -> Image.Image:
"""Create composite using transparency mask. Alias for
:py:func:`PIL.Image.composite`.
:rtype: :py:class:`~PIL.Image.Image`
"""
return Image.composite(image1, image2, mask)
def offset(image: Image.Image, xoffset: int, yoffset: int | None = None) -> Image.Image:
"""Returns a copy of the image where data has been offset by the given
distances. Data wraps around the edges. If ``yoffset`` is omitted, it
is assumed to be equal to ``xoffset``.
:param image: Input image.
:param xoffset: The horizontal distance.
:param yoffset: The vertical distance. If omitted, both
distances are set to the same value.
:rtype: :py:class:`~PIL.Image.Image`
"""
if yoffset is None:
yoffset = xoffset
image.load()
return image._new(image.im.offset(xoffset, yoffset))

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#
# The Python Imaging Library
# $Id$
#
# map CSS3-style colour description strings to RGB
#
# History:
# 2002-10-24 fl Added support for CSS-style color strings
# 2002-12-15 fl Added RGBA support
# 2004-03-27 fl Fixed remaining int() problems for Python 1.5.2
# 2004-07-19 fl Fixed gray/grey spelling issues
# 2009-03-05 fl Fixed rounding error in grayscale calculation
#
# Copyright (c) 2002-2004 by Secret Labs AB
# Copyright (c) 2002-2004 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
import re
from functools import lru_cache
from . import Image
@lru_cache
def getrgb(color: str) -> tuple[int, int, int] | tuple[int, int, int, int]:
"""
Convert a color string to an RGB or RGBA tuple. If the string cannot be
parsed, this function raises a :py:exc:`ValueError` exception.
.. versionadded:: 1.1.4
:param color: A color string
:return: ``(red, green, blue[, alpha])``
"""
if len(color) > 100:
msg = "color specifier is too long"
raise ValueError(msg)
color = color.lower()
rgb = colormap.get(color, None)
if rgb:
if isinstance(rgb, tuple):
return rgb
rgb_tuple = getrgb(rgb)
assert len(rgb_tuple) == 3
colormap[color] = rgb_tuple
return rgb_tuple
# check for known string formats
if re.match("#[a-f0-9]{3}$", color):
return int(color[1] * 2, 16), int(color[2] * 2, 16), int(color[3] * 2, 16)
if re.match("#[a-f0-9]{4}$", color):
return (
int(color[1] * 2, 16),
int(color[2] * 2, 16),
int(color[3] * 2, 16),
int(color[4] * 2, 16),
)
if re.match("#[a-f0-9]{6}$", color):
return int(color[1:3], 16), int(color[3:5], 16), int(color[5:7], 16)
if re.match("#[a-f0-9]{8}$", color):
return (
int(color[1:3], 16),
int(color[3:5], 16),
int(color[5:7], 16),
int(color[7:9], 16),
)
m = re.match(r"rgb\(\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*\)$", color)
if m:
return int(m.group(1)), int(m.group(2)), int(m.group(3))
m = re.match(r"rgb\(\s*(\d+)%\s*,\s*(\d+)%\s*,\s*(\d+)%\s*\)$", color)
if m:
return (
int((int(m.group(1)) * 255) / 100.0 + 0.5),
int((int(m.group(2)) * 255) / 100.0 + 0.5),
int((int(m.group(3)) * 255) / 100.0 + 0.5),
)
m = re.match(
r"hsl\(\s*(\d+\.?\d*)\s*,\s*(\d+\.?\d*)%\s*,\s*(\d+\.?\d*)%\s*\)$", color
)
if m:
from colorsys import hls_to_rgb
rgb_floats = hls_to_rgb(
float(m.group(1)) / 360.0,
float(m.group(3)) / 100.0,
float(m.group(2)) / 100.0,
)
return (
int(rgb_floats[0] * 255 + 0.5),
int(rgb_floats[1] * 255 + 0.5),
int(rgb_floats[2] * 255 + 0.5),
)
m = re.match(
r"hs[bv]\(\s*(\d+\.?\d*)\s*,\s*(\d+\.?\d*)%\s*,\s*(\d+\.?\d*)%\s*\)$", color
)
if m:
from colorsys import hsv_to_rgb
rgb_floats = hsv_to_rgb(
float(m.group(1)) / 360.0,
float(m.group(2)) / 100.0,
float(m.group(3)) / 100.0,
)
return (
int(rgb_floats[0] * 255 + 0.5),
int(rgb_floats[1] * 255 + 0.5),
int(rgb_floats[2] * 255 + 0.5),
)
m = re.match(r"rgba\(\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*\)$", color)
if m:
return int(m.group(1)), int(m.group(2)), int(m.group(3)), int(m.group(4))
msg = f"unknown color specifier: {repr(color)}"
raise ValueError(msg)
@lru_cache
def getcolor(color: str, mode: str) -> int | tuple[int, ...]:
"""
Same as :py:func:`~PIL.ImageColor.getrgb` for most modes. However, if
``mode`` is HSV, converts the RGB value to a HSV value, or if ``mode`` is
not color or a palette image, converts the RGB value to a grayscale value.
If the string cannot be parsed, this function raises a :py:exc:`ValueError`
exception.
.. versionadded:: 1.1.4
:param color: A color string
:param mode: Convert result to this mode
:return: ``graylevel, (graylevel, alpha) or (red, green, blue[, alpha])``
"""
# same as getrgb, but converts the result to the given mode
rgb, alpha = getrgb(color), 255
if len(rgb) == 4:
alpha = rgb[3]
rgb = rgb[:3]
if mode == "HSV":
from colorsys import rgb_to_hsv
r, g, b = rgb
h, s, v = rgb_to_hsv(r / 255, g / 255, b / 255)
return int(h * 255), int(s * 255), int(v * 255)
elif Image.getmodebase(mode) == "L":
r, g, b = rgb
# ITU-R Recommendation 601-2 for nonlinear RGB
# scaled to 24 bits to match the convert's implementation.
graylevel = (r * 19595 + g * 38470 + b * 7471 + 0x8000) >> 16
if mode[-1] == "A":
return graylevel, alpha
return graylevel
elif mode[-1] == "A":
return rgb + (alpha,)
return rgb
colormap: dict[str, str | tuple[int, int, int]] = {
# X11 colour table from https://drafts.csswg.org/css-color-4/, with
# gray/grey spelling issues fixed. This is a superset of HTML 4.0
# colour names used in CSS 1.
"aliceblue": "#f0f8ff",
"antiquewhite": "#faebd7",
"aqua": "#00ffff",
"aquamarine": "#7fffd4",
"azure": "#f0ffff",
"beige": "#f5f5dc",
"bisque": "#ffe4c4",
"black": "#000000",
"blanchedalmond": "#ffebcd",
"blue": "#0000ff",
"blueviolet": "#8a2be2",
"brown": "#a52a2a",
"burlywood": "#deb887",
"cadetblue": "#5f9ea0",
"chartreuse": "#7fff00",
"chocolate": "#d2691e",
"coral": "#ff7f50",
"cornflowerblue": "#6495ed",
"cornsilk": "#fff8dc",
"crimson": "#dc143c",
"cyan": "#00ffff",
"darkblue": "#00008b",
"darkcyan": "#008b8b",
"darkgoldenrod": "#b8860b",
"darkgray": "#a9a9a9",
"darkgrey": "#a9a9a9",
"darkgreen": "#006400",
"darkkhaki": "#bdb76b",
"darkmagenta": "#8b008b",
"darkolivegreen": "#556b2f",
"darkorange": "#ff8c00",
"darkorchid": "#9932cc",
"darkred": "#8b0000",
"darksalmon": "#e9967a",
"darkseagreen": "#8fbc8f",
"darkslateblue": "#483d8b",
"darkslategray": "#2f4f4f",
"darkslategrey": "#2f4f4f",
"darkturquoise": "#00ced1",
"darkviolet": "#9400d3",
"deeppink": "#ff1493",
"deepskyblue": "#00bfff",
"dimgray": "#696969",
"dimgrey": "#696969",
"dodgerblue": "#1e90ff",
"firebrick": "#b22222",
"floralwhite": "#fffaf0",
"forestgreen": "#228b22",
"fuchsia": "#ff00ff",
"gainsboro": "#dcdcdc",
"ghostwhite": "#f8f8ff",
"gold": "#ffd700",
"goldenrod": "#daa520",
"gray": "#808080",
"grey": "#808080",
"green": "#008000",
"greenyellow": "#adff2f",
"honeydew": "#f0fff0",
"hotpink": "#ff69b4",
"indianred": "#cd5c5c",
"indigo": "#4b0082",
"ivory": "#fffff0",
"khaki": "#f0e68c",
"lavender": "#e6e6fa",
"lavenderblush": "#fff0f5",
"lawngreen": "#7cfc00",
"lemonchiffon": "#fffacd",
"lightblue": "#add8e6",
"lightcoral": "#f08080",
"lightcyan": "#e0ffff",
"lightgoldenrodyellow": "#fafad2",
"lightgreen": "#90ee90",
"lightgray": "#d3d3d3",
"lightgrey": "#d3d3d3",
"lightpink": "#ffb6c1",
"lightsalmon": "#ffa07a",
"lightseagreen": "#20b2aa",
"lightskyblue": "#87cefa",
"lightslategray": "#778899",
"lightslategrey": "#778899",
"lightsteelblue": "#b0c4de",
"lightyellow": "#ffffe0",
"lime": "#00ff00",
"limegreen": "#32cd32",
"linen": "#faf0e6",
"magenta": "#ff00ff",
"maroon": "#800000",
"mediumaquamarine": "#66cdaa",
"mediumblue": "#0000cd",
"mediumorchid": "#ba55d3",
"mediumpurple": "#9370db",
"mediumseagreen": "#3cb371",
"mediumslateblue": "#7b68ee",
"mediumspringgreen": "#00fa9a",
"mediumturquoise": "#48d1cc",
"mediumvioletred": "#c71585",
"midnightblue": "#191970",
"mintcream": "#f5fffa",
"mistyrose": "#ffe4e1",
"moccasin": "#ffe4b5",
"navajowhite": "#ffdead",
"navy": "#000080",
"oldlace": "#fdf5e6",
"olive": "#808000",
"olivedrab": "#6b8e23",
"orange": "#ffa500",
"orangered": "#ff4500",
"orchid": "#da70d6",
"palegoldenrod": "#eee8aa",
"palegreen": "#98fb98",
"paleturquoise": "#afeeee",
"palevioletred": "#db7093",
"papayawhip": "#ffefd5",
"peachpuff": "#ffdab9",
"peru": "#cd853f",
"pink": "#ffc0cb",
"plum": "#dda0dd",
"powderblue": "#b0e0e6",
"purple": "#800080",
"rebeccapurple": "#663399",
"red": "#ff0000",
"rosybrown": "#bc8f8f",
"royalblue": "#4169e1",
"saddlebrown": "#8b4513",
"salmon": "#fa8072",
"sandybrown": "#f4a460",
"seagreen": "#2e8b57",
"seashell": "#fff5ee",
"sienna": "#a0522d",
"silver": "#c0c0c0",
"skyblue": "#87ceeb",
"slateblue": "#6a5acd",
"slategray": "#708090",
"slategrey": "#708090",
"snow": "#fffafa",
"springgreen": "#00ff7f",
"steelblue": "#4682b4",
"tan": "#d2b48c",
"teal": "#008080",
"thistle": "#d8bfd8",
"tomato": "#ff6347",
"turquoise": "#40e0d0",
"violet": "#ee82ee",
"wheat": "#f5deb3",
"white": "#ffffff",
"whitesmoke": "#f5f5f5",
"yellow": "#ffff00",
"yellowgreen": "#9acd32",
}

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venv/lib/python3.10/site-packages/PIL/ImageDraw2.py Normal file
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#
# The Python Imaging Library
# $Id$
#
# WCK-style drawing interface operations
#
# History:
# 2003-12-07 fl created
# 2005-05-15 fl updated; added to PIL as ImageDraw2
# 2005-05-15 fl added text support
# 2005-05-20 fl added arc/chord/pieslice support
#
# Copyright (c) 2003-2005 by Secret Labs AB
# Copyright (c) 2003-2005 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
"""
(Experimental) WCK-style drawing interface operations
.. seealso:: :py:mod:`PIL.ImageDraw`
"""
from __future__ import annotations
from typing import Any, AnyStr, BinaryIO
from . import Image, ImageColor, ImageDraw, ImageFont, ImagePath
from ._typing import Coords, StrOrBytesPath
class Pen:
"""Stores an outline color and width."""
def __init__(self, color: str, width: int = 1, opacity: int = 255) -> None:
self.color = ImageColor.getrgb(color)
self.width = width
class Brush:
"""Stores a fill color"""
def __init__(self, color: str, opacity: int = 255) -> None:
self.color = ImageColor.getrgb(color)
class Font:
"""Stores a TrueType font and color"""
def __init__(
self, color: str, file: StrOrBytesPath | BinaryIO, size: float = 12
) -> None:
# FIXME: add support for bitmap fonts
self.color = ImageColor.getrgb(color)
self.font = ImageFont.truetype(file, size)
class Draw:
"""
(Experimental) WCK-style drawing interface
"""
def __init__(
self,
image: Image.Image | str,
size: tuple[int, int] | list[int] | None = None,
color: float | tuple[float, ...] | str | None = None,
) -> None:
if isinstance(image, str):
if size is None:
msg = "If image argument is mode string, size must be a list or tuple"
raise ValueError(msg)
image = Image.new(image, size, color)
self.draw = ImageDraw.Draw(image)
self.image = image
self.transform: tuple[float, float, float, float, float, float] | None = None
def flush(self) -> Image.Image:
return self.image
def render(
self,
op: str,
xy: Coords,
pen: Pen | Brush | None,
brush: Brush | Pen | None = None,
**kwargs: Any,
) -> None:
# handle color arguments
outline = fill = None
width = 1
if isinstance(pen, Pen):
outline = pen.color
width = pen.width
elif isinstance(brush, Pen):
outline = brush.color
width = brush.width
if isinstance(brush, Brush):
fill = brush.color
elif isinstance(pen, Brush):
fill = pen.color
# handle transformation
if self.transform:
path = ImagePath.Path(xy)
path.transform(self.transform)
xy = path
# render the item
if op in ("arc", "line"):
kwargs.setdefault("fill", outline)
else:
kwargs.setdefault("fill", fill)
kwargs.setdefault("outline", outline)
if op == "line":
kwargs.setdefault("width", width)
getattr(self.draw, op)(xy, **kwargs)
def settransform(self, offset: tuple[float, float]) -> None:
"""Sets a transformation offset."""
(xoffset, yoffset) = offset
self.transform = (1, 0, xoffset, 0, 1, yoffset)
def arc(
self,
xy: Coords,
pen: Pen | Brush | None,
start: float,
end: float,
*options: Any,
) -> None:
"""
Draws an arc (a portion of a circle outline) between the start and end
angles, inside the given bounding box.
.. seealso:: :py:meth:`PIL.ImageDraw.ImageDraw.arc`
"""
self.render("arc", xy, pen, *options, start=start, end=end)
def chord(
self,
xy: Coords,
pen: Pen | Brush | None,
start: float,
end: float,
*options: Any,
) -> None:
"""
Same as :py:meth:`~PIL.ImageDraw2.Draw.arc`, but connects the end points
with a straight line.
.. seealso:: :py:meth:`PIL.ImageDraw.ImageDraw.chord`
"""
self.render("chord", xy, pen, *options, start=start, end=end)
def ellipse(self, xy: Coords, pen: Pen | Brush | None, *options: Any) -> None:
"""
Draws an ellipse inside the given bounding box.
.. seealso:: :py:meth:`PIL.ImageDraw.ImageDraw.ellipse`
"""
self.render("ellipse", xy, pen, *options)
def line(self, xy: Coords, pen: Pen | Brush | None, *options: Any) -> None:
"""
Draws a line between the coordinates in the ``xy`` list.
.. seealso:: :py:meth:`PIL.ImageDraw.ImageDraw.line`
"""
self.render("line", xy, pen, *options)
def pieslice(
self,
xy: Coords,
pen: Pen | Brush | None,
start: float,
end: float,
*options: Any,
) -> None:
"""
Same as arc, but also draws straight lines between the end points and the
center of the bounding box.
.. seealso:: :py:meth:`PIL.ImageDraw.ImageDraw.pieslice`
"""
self.render("pieslice", xy, pen, *options, start=start, end=end)
def polygon(self, xy: Coords, pen: Pen | Brush | None, *options: Any) -> None:
"""
Draws a polygon.
The polygon outline consists of straight lines between the given
coordinates, plus a straight line between the last and the first
coordinate.
.. seealso:: :py:meth:`PIL.ImageDraw.ImageDraw.polygon`
"""
self.render("polygon", xy, pen, *options)
def rectangle(self, xy: Coords, pen: Pen | Brush | None, *options: Any) -> None:
"""
Draws a rectangle.
.. seealso:: :py:meth:`PIL.ImageDraw.ImageDraw.rectangle`
"""
self.render("rectangle", xy, pen, *options)
def text(self, xy: tuple[float, float], text: AnyStr, font: Font) -> None:
"""
Draws the string at the given position.
.. seealso:: :py:meth:`PIL.ImageDraw.ImageDraw.text`
"""
if self.transform:
path = ImagePath.Path(xy)
path.transform(self.transform)
xy = path
self.draw.text(xy, text, font=font.font, fill=font.color)
def textbbox(
self, xy: tuple[float, float], text: AnyStr, font: Font
) -> tuple[float, float, float, float]:
"""
Returns bounding box (in pixels) of given text.
:return: ``(left, top, right, bottom)`` bounding box
.. seealso:: :py:meth:`PIL.ImageDraw.ImageDraw.textbbox`
"""
if self.transform:
path = ImagePath.Path(xy)
path.transform(self.transform)
xy = path
return self.draw.textbbox(xy, text, font=font.font)
def textlength(self, text: AnyStr, font: Font) -> float:
"""
Returns length (in pixels) of given text.
This is the amount by which following text should be offset.
.. seealso:: :py:meth:`PIL.ImageDraw.ImageDraw.textlength`
"""
return self.draw.textlength(text, font=font.font)

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venv/lib/python3.10/site-packages/PIL/ImageEnhance.py Normal file
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#
# The Python Imaging Library.
# $Id$
#
# image enhancement classes
#
# For a background, see "Image Processing By Interpolation and
# Extrapolation", Paul Haeberli and Douglas Voorhies. Available
# at http://www.graficaobscura.com/interp/index.html
#
# History:
# 1996-03-23 fl Created
# 2009-06-16 fl Fixed mean calculation
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1996.
#
# See the README file for information on usage and redistribution.
#
from __future__ import annotations
from . import Image, ImageFilter, ImageStat
class _Enhance:
image: Image.Image
degenerate: Image.Image
def enhance(self, factor: float) -> Image.Image:
"""
Returns an enhanced image.
:param factor: A floating point value controlling the enhancement.
Factor 1.0 always returns a copy of the original image,
lower factors mean less color (brightness, contrast,
etc), and higher values more. There are no restrictions
on this value.
:rtype: :py:class:`~PIL.Image.Image`
"""
return Image.blend(self.degenerate, self.image, factor)
class Color(_Enhance):
"""Adjust image color balance.
This class can be used to adjust the colour balance of an image, in
a manner similar to the controls on a colour TV set. An enhancement
factor of 0.0 gives a black and white image. A factor of 1.0 gives
the original image.
"""
def __init__(self, image: Image.Image) -> None:
self.image = image
self.intermediate_mode = "L"
if "A" in image.getbands():
self.intermediate_mode = "LA"
if self.intermediate_mode != image.mode:
image = image.convert(self.intermediate_mode).convert(image.mode)
self.degenerate = image
class Contrast(_Enhance):
"""Adjust image contrast.
This class can be used to control the contrast of an image, similar
to the contrast control on a TV set. An enhancement factor of 0.0
gives a solid gray image. A factor of 1.0 gives the original image.
"""
def __init__(self, image: Image.Image) -> None:
self.image = image
if image.mode != "L":
image = image.convert("L")
mean = int(ImageStat.Stat(image).mean[0] + 0.5)
self.degenerate = Image.new("L", image.size, mean)
if self.degenerate.mode != self.image.mode:
self.degenerate = self.degenerate.convert(self.image.mode)
if "A" in self.image.getbands():
self.degenerate.putalpha(self.image.getchannel("A"))
class Brightness(_Enhance):
"""Adjust image brightness.
This class can be used to control the brightness of an image. An
enhancement factor of 0.0 gives a black image. A factor of 1.0 gives the
original image.
"""
def __init__(self, image: Image.Image) -> None:
self.image = image
self.degenerate = Image.new(image.mode, image.size, 0)
if "A" in image.getbands():
self.degenerate.putalpha(image.getchannel("A"))
class Sharpness(_Enhance):
"""Adjust image sharpness.
This class can be used to adjust the sharpness of an image. An
enhancement factor of 0.0 gives a blurred image, a factor of 1.0 gives the
original image, and a factor of 2.0 gives a sharpened image.
"""
def __init__(self, image: Image.Image) -> None:
self.image = image
self.degenerate = image.filter(ImageFilter.SMOOTH)
if "A" in image.getbands():
self.degenerate.putalpha(image.getchannel("A"))

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