### Install Spawningtool from GitHub

Source: https://github.com/stoicloofah/spawningtool/wiki/How-to-use-this-library-in-your-projects

Install Spawningtool directly from its GitHub repository for the latest, potentially less stable, version. This is an editable installation.

```bash
pip install -e git+git://github.com/StoicLoofah/spawningtool.git#egg=spawningtool
```

--------------------------------

### Install Spawningtool from PyPi

Source: https://github.com/stoicloofah/spawningtool/wiki/How-to-use-this-library-in-your-projects

Use this command to install the latest stable version of Spawningtool from the Python Package Index.

```bash
pip install spawningtool
```

--------------------------------

### Build Replay Model in Python Project

Source: https://github.com/stoicloofah/spawningtool/wiki/How-to-use-this-library-in-your-projects

Example of how to integrate Spawningtool into your Python project to build a replay model. This requires copying the spawningtool folder into your project.

```python
import spawningtool
from spawningtool.parser import GameTimeline

class SpawningReplayModel():
 
  def loadRequestedReplay(self, filePath):
    result_replay = spawningtool.parser.parse_replay(filePath)
    return result_replay
```

--------------------------------

### Batch Analysis: Win Rate by Supply Ratio (TvZ Matchup)

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Calculate win rates for specific matchups, like Terran vs. Zerg, using supply ratio. This example defines a TvZ condition function and utilizes caching.

```python
from spawningtool.analyzer import (
    count_win_rate_by_supply_difference,
    count_win_rate_by_supply_ratio,
    RACE_BY_LETTER
)

# Create a text file with paths to replays
# replays.txt:
# replays/game1.SC2Replay
# replays/game2.SC2Replay
# replays/game3.SC2Replay

# Analyze TvZ matchup
def tvz_condition(replay, player_1, player_2):
    return player_1['race'] == 'Terran' and player_2['race'] == 'Zerg'

with open('replays.txt', 'r') as replay_list:
    results = count_win_rate_by_supply_ratio(
        replay_list,
        condition=tvz_condition,
        cache_dir='./cache'
    )
```

--------------------------------

### Parsed Data Structure Reference Example

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

This snippet shows how to import the necessary modules and call the parse_replay function to obtain the parsed data structure, which can then be further inspected.

```python
import spawningtool.parser
import json

result = spawningtool.parser.parse_replay('replays/game.SC2Replay')
```

--------------------------------

### Include Map Details

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Extract spatial information such as map dimensions and player starting positions in clock notation.

```python
import spawningtool.parser

# Parse with map details enabled
result = spawningtool.parser.parse_replay(
    'replays/game.SC2Replay',
    include_map_details=True
)

# Access map dimensions
if result.get('include_map_details'):
    print(f"Map dimensions: {result['map_details']['width']}x{result['map_details']['height']}")

# Access player starting positions (clock notation)
for player_id, player in result['players'].items():
    print(f"{player['name']} started at {player['clock_position']}:00")

    # Build order events include clock positions
    for event in player['buildOrder'][:5]:
        if event['clock_position']:
            print(f"  {event['name']} built at {event['clock_position']}:00")
```

--------------------------------

### Command Line: Show Abilities Used

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Use this option to see a breakdown of all abilities used by players in the replay.

```bash
python -m spawningtool replays/game.SC2Replay --abilities
```

--------------------------------

### Run Spawning Tool via Command Line

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Execute Spawning Tool directly from the terminal to quickly view build orders and game data. The basic usage command shows all available information for a given replay file.

```bash
python -m spawningtool replays/game.SC2Replay
```

--------------------------------

### Command Line: Use Caching for Faster Analysis

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Enable caching to speed up repeated analysis of the same replay by specifying a cache directory.

```bash
python -m spawningtool replays/game.SC2Replay --cache-dir ./cache
```

--------------------------------

### Execute Spawningtool from Command Line

Source: https://github.com/stoicloofah/spawningtool/wiki/How-to-use-this-library-in-your-projects

Run Spawningtool directly from your terminal to parse a replay file. Replace PATH/TO/REPLAY with the actual file path.

```bash
python -m spawningtool PATH/TO/REPLAY
```

--------------------------------

### Command Line: Show Build Orders (No Workers)

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Use this command to display only build orders, excluding worker units, from a replay file.

```bash
python -m spawningtool replays/game.SC2Replay --build
```

--------------------------------

### Command Line: Include Map Position Details

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Add map position information to the output with the --map-details flag.

```bash
python -m spawningtool replays/game.SC2Replay --map-details
```

--------------------------------

### Python API: Basic Game Parsing

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Instantiate the GameParser class to access parsed replay data. This allows for custom processing and access to intermediate data.

```python
from spawningtool.parser import GameParser

# Create parser instance
parser = GameParser('replays/game.SC2Replay')

# Get parsed data with all options
result = parser.get_parsed_data(
    cutoff_time='10:00',
    cache_dir='./cache',
    include_map_details=True
)

# Access the underlying sc2reader replay object
parser.load_replay()
replay = parser.replay

print(f"Replay version: {replay.build}")
print(f"Map hash: {replay.map_hash}")

# Access players through sc2reader
for player in replay.players:
    print(f"Player: {player.name}")
    print(f"  APM: {player.avg_apm}")
    print(f"  Commander: {player.commander}" ) # For Co-op games
```

--------------------------------

### Enable Replay Caching

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Store parsed results in a directory to improve performance on subsequent reads of the same file.

```python
import spawningtool.parser
import os

# Create cache directory
cache_dir = './replay_cache'
os.makedirs(cache_dir, exist_ok=True)

# First call parses and caches the result
result1 = spawningtool.parser.parse_replay(
    'replays/game.SC2Replay',
    cache_dir=cache_dir
)
print("First parse complete")

# Second call retrieves from cache (much faster)
result2 = spawningtool.parser.parse_replay(
    'replays/game.SC2Replay',
    cache_dir=cache_dir
)
print("Retrieved from cache")

# Results are identical
assert result1['map'] == result2['map']
assert len(result1['players']) == len(result2['players'])
```

--------------------------------

### Build Order Object Properties

Source: https://github.com/stoicloofah/spawningtool/wiki/Diving-into-the-Data

Details of a specific unit or structure added to the player's build order.

```javascript
buildOrder:
clock_position: null
frame: 18
is_worker: true
name: "Probe"
supply: 6
time: "0:01"
```

--------------------------------

### Batch Analysis: Win Rate by Supply Difference

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Analyze win rates across multiple replays based on supply difference. Requires a text file listing replay paths. The condition lambda filters for specific matchups and min/max analysis times.

```python
from spawningtool.analyzer import (
    count_win_rate_by_supply_difference,
    count_win_rate_by_supply_ratio,
    RACE_BY_LETTER
)

# Create a text file with paths to replays
# replays.txt:
# replays/game1.SC2Replay
# replays/game2.SC2Replay
# replays/game3.SC2Replay

# Analyze win rate by supply difference
with open('replays.txt', 'r') as replay_list:
    results = count_win_rate_by_supply_difference(
        replay_list,
        condition=lambda r, p1, p2: p1['race'] == 'Terran' and p2['race'] == 'Zerg',
        min_time=300,   # Start at 5 minutes (in seconds)
        max_time=600    # End at 10 minutes
    )

# Results format: [[supply_diff, wins, total_games], ...]
for diff, wins, games in results:
    if int(games) > 0:
        win_rate = int(wins) / int(games) * 100
        print(f"Supply diff {diff:+3s}: {win_rate:5.1f}% ({wins}/{games})")
```

--------------------------------

### Access Protoss Build Order Events

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Iterate through player build order events to extract details like timing, supply, and Chronoboost status. Requires the 'spawningtool.parser' module.

```python
import spawningtool.parser

result = spawningtool.parser.parse_replay('replays/protoss_game.SC2Replay')

for player_id, player in result['players'].items():
    if player['race'] == 'Protoss':
        print(f"Build Order for {player['name']}:")

        for event in player['buildOrder']:
            # Event structure:
            # {
            #     'frame': 1234,           # Game frame number
            #     'time': '1:23',          # Human-readable game time
            #     'name': 'Stalker',       # Unit/building/upgrade name
            #     'supply': 32,            # Supply count when started
            #     'is_worker': False,      # True for Probe/SCV/Drone
            #     'clock_position': 3,     # Map position (if enabled)
            #     'is_chronoboosted': True # Chronoboost was active
            # }

            chrono = " (Chronoboosted)" if event['is_chronoboosted'] else ""
            print(f"  {event['supply']:3d} {event['time']:>6s} {event['name']}{chrono}")
```

--------------------------------

### Command Line: Include Workers in Build Order Output

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

To include worker units in the build order output, use the --workers flag.

```bash
python -m spawningtool replays/game.SC2Replay --build --workers
```

--------------------------------

### Abilities Object Properties

Source: https://github.com/stoicloofah/spawningtool/wiki/Diving-into-the-Data

Details about an ability used by a player during the game.

```javascript
abilities:
frame: 1489
name: "ChronoBoost"
time: "1:33"
```

--------------------------------

### Command Line: Stop at Specific Game Time

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Limit the analysis to a specific point in the game using the --cutoff-time flag. The time format is MM:SS.

```bash
python -m spawningtool replays/game.SC2Replay --cutoff-time 5:00
```

--------------------------------

### Pretty Print JSON Output

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

This Python code snippet demonstrates how to pretty-print a dictionary, such as the parsed replay data, into a human-readable JSON format using the `json` library.

```python
import json

# Assuming 'result' is the dictionary obtained from Spawning Tool
# For example:
result = {
    'buildOrderExtracted': True,
    'message': '',
    'build': 89720,
    'players': {
        '1': {
            'name': 'Oliveira',
            'race': 'Terran',
            'is_winner': True,
            'buildOrder': [["14 Supply", 0], ["15 Barracks", 15]]
        }
    }
}

print(json.dumps(result, indent=2, default=str))
```

--------------------------------

### Command Line: Show Units Lost

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

This command displays a list of units that were lost during the game.

```bash
python -m spawningtool replays/game.SC2Replay --units-lost
```

--------------------------------

### Parse Replay within Python Script

Source: https://github.com/stoicloofah/spawningtool/wiki/How-to-use-this-library-in-your-projects

Import and use the Spawningtool parser directly within your Python code to process replay files.

```python
import spawningtool.parser
spawningtool.parser.parse_replay('PATH/TO/REPLAY')
```

--------------------------------

### Parse a StarCraft 2 Replay

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

The primary entry point for extracting game data, including player information and build orders, from a replay file.

```python
import spawningtool.parser

# Basic usage - parse a replay file
result = spawningtool.parser.parse_replay('replays/game.SC2Replay')

# Access game metadata
print(f"Map: {result['map']}")
print(f"Game Type: {result['game_type']}")
print(f"Expansion: {result['expansion']}")
print(f"Duration (frames): {result['frames']}")

# Access player data
for player_id, player in result['players'].items():
    print(f"\nPlayer: {player['name']} ({player['race']})")
    print(f"Result: {player['result']}")
    print(f"League: {player['league']}")

    # Print build order
    print("Build Order:")
    for event in player['buildOrder']:
        if not event['is_worker']:  # Skip worker production
            print(f"  {event['supply']} {event['time']} {event['name']}")
```

--------------------------------

### Parse Replay Data Structure

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

This dictionary represents the parsed data from a StarCraft 2 replay file, including game details, player information, and build order specifics. It's the primary output of the Spawning Tool's parsing function.

```python
parsed_data = {
    'buildOrderExtracted': True,       # bool: Successfully extracted build orders
    'message': '',                      # str: Error or info message
    'build': 89720,                     # int: Game client build number
    'baseBuild': 89720,                 # int: Base protocol build
    'category': 'Ladder',               # str: Game category (Ladder, Private, etc.)
    'expansion': 'LotV',                # str: HotS, LotV
    'unix_timestamp': 1676225347,       # int: When game was played
    'frames': 13704,                    # int: Total game frames
    'frames_per_second': 22.4,          # float: Game speed (22.4 for LotV)
    'game_type': '1v1',                 # str: 1v1, 2v2, etc.
    'region': 'eu',                     # str: Server region
    'map': '[ESL] Gresvan',             # str: Map name
    'map_hash': 'abc123...',            # str: Unique map identifier
    'cooperative': False,               # bool: Is this a Co-op game
    'include_map_details': False,       # bool: Map details requested
    'map_details': {                    # dict: Only if include_map_details=True
        'height': 200,
        'width': 200
    },
    'players': {
        '1': {                          # dict: Keyed by player ID
            'name': 'Oliveira',         # str: Player name
            'pick_race': 'Terran',      # str: Selected race (may be Random)
            'race': 'Terran',           # str: Actual race played
            'league': 6,                # int: League (0-7, Grandmaster=6)
            'level': 150,               # int: Race level
            'is_winner': True,          # bool: Won the game
            'result': 'Win',            # str: Win, Loss, Tie
            'is_human': True,           # bool: Human player
            'handicap': 100,            # int: Handicap percentage
            'color': 'B4141E',          # str: Player color hex
            'uid': 10400125,            # int: Battle.net ID
            'region': 'eu',             # str: Player region
            'team': 1,                  # int: Team number
            'clock_position': 2,        # int: Start position (1-12 o'clock)
            'commander': None,          # str: Co-op commander name
            'supply': [[0, 12], ...],   # list: [frame, supply] pairs
            'buildOrder': [...],        # list: Build order events
            'unitsLost': [...],         # list: Units lost events
            'abilities': [...]          # list: Abilities used events
        }
    }
}
```

--------------------------------

### Access Abilities Used Events

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Track and count the usage of various in-game abilities like Chronoboost, Scanner Sweep, and Spawn Larva. The event structure includes game frame, time, and ability name.

```python
import spawningtool.parser

result = spawningtool.parser.parse_replay('replays/game.SC2Replay')

for player_id, player in result['players'].items():
    print(f"\nAbilities used by {player['name']}:")

    # Count abilities by type
    ability_count = {}
    for event in player['abilities']:
        # Event structure:
        # {
        #     'frame': 1500,          # Game frame
        #     'time': '1:07',         # Human-readable time
        #     'name': 'ChronoBoost'   # Ability name
        # }

        name = event['name']
        ability_count[name] = ability_count.get(name, 0) + 1

    for ability, count in sorted(ability_count.items(), key=lambda x: -x[1]):
        print(f"  {ability}: {count}")
```

--------------------------------

### Root JSON Object Properties

Source: https://github.com/stoicloofah/spawningtool/wiki/Diving-into-the-Data

This object contains general details about the StarCraft 2 game session.

```javascript
baseBuild: 28667
build: 30508
buildOrderExtracted: true
category: "Private"
expansion: "HotS"
frames: 19150
game_type: "1v1"
include_map_details: false
map: "Frost LE"
map_hash: "bb12240d1748afb6b728a7c6ebd716f4ce5bf3cb49bbb8062c33e3b4938c617d"
message: ""
players: Object
unix_timestamp: 1404604126
```

--------------------------------

### Parse Replay with Cutoff Time

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Limit the processing of replay events to a specific game time, useful for analyzing early-game strategies.

```python
import spawningtool.parser

# Parse only the first 5 minutes of the game
result = spawningtool.parser.parse_replay(
    'replays/game.SC2Replay',
    cutoff_time='5:00'
)

# Only events before 5:00 game time are included
for player_id, player in result['players'].items():
    print(f"Player: {player['name']}")
    print(f"Build order (first 5 minutes):")
    for event in player['buildOrder']:
        print(f"  {event['time']} - {event['name']}")
```

--------------------------------

### Replay Data Structure

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

The structure of the dictionary returned after parsing a StarCraft 2 replay file.

```APIDOC
## Replay Data Structure

### Description
This object represents the parsed data extracted from a StarCraft 2 replay file, containing game metadata, player information, and build order events.

### Response
- **buildOrderExtracted** (bool) - Successfully extracted build orders
- **message** (str) - Error or info message
- **build** (int) - Game client build number
- **baseBuild** (int) - Base protocol build
- **category** (str) - Game category (Ladder, Private, etc.)
- **expansion** (str) - Game expansion (HotS, LotV)
- **unix_timestamp** (int) - When game was played
- **frames** (int) - Total game frames
- **frames_per_second** (float) - Game speed
- **game_type** (str) - Game type (e.g., 1v1)
- **region** (str) - Server region
- **map** (str) - Map name
- **map_hash** (str) - Unique map identifier
- **cooperative** (bool) - Is this a Co-op game
- **players** (dict) - Player data keyed by player ID

### Response Example
{
  "buildOrderExtracted": true,
  "build": 89720,
  "category": "Ladder",
  "players": {
    "1": {
      "name": "Oliveira",
      "race": "Terran",
      "is_winner": true
    }
  }
}
```

--------------------------------

### Supply Array Format

Source: https://github.com/stoicloofah/spawningtool/wiki/Diving-into-the-Data

Represents player supply over time. Each element is a [FRAME, SUPPLY] pair.

```javascript
0: 1
1: 6
```

--------------------------------

### Access Supply Progression Over Time

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Analyze player supply throughout the game by accessing a list of [frame, supply] pairs. This snippet demonstrates how to convert frame numbers to human-readable time.

```python
import spawningtool.parser

result = spawningtool.parser.parse_replay('replays/game.SC2Replay')

# Game runs at 22.4 frames per second in LotV
FRAMES_PER_SECOND = 22.4

for player_id, player in result['players'].items():
    print(f"\n{player['name']}'s supply progression:")

    # Supply is stored as [frame, supply] pairs
    for frame, supply in player['supply'][:10]:  # First 10 entries
        seconds = frame / FRAMES_PER_SECOND
        minutes = int(seconds // 60)
        secs = int(seconds % 60)
        print(f"  {minutes}:{secs:02d} - {supply} supply")
```

--------------------------------

### Python API: Error Handling for Replay Parsing

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Implement robust error handling for replay parsing using specific exception classes like CutoffTimeError, ReplayFormatError, and ReadError. The safe_parse function provides a convenient wrapper.

```python
from spawningtool.parser import parse_replay
from spawningtool.exception import CutoffTimeError, ReplayFormatError, ReadError

try:
    result = parse_replay('replays/game.SC2Replay', cutoff_time='invalid')
except CutoffTimeError as e:
    print(f"Invalid cutoff time format: {e}")
    # Output: Invalid cutoff time format: You must enter a valid cutoff time! eg: 10:05

try:
    result = parse_replay('replays/old_wol_game.SC2Replay')
except ReplayFormatError as e:
    print(f"Replay format error: {e}")
    # May contain partial data in e.parsed_data
    if hasattr(e, 'parsed_data'):
        print(f"Map: {e.parsed_data.get('map', 'Unknown')}")

try:
    result = parse_replay('replays/corrupted.SC2Replay')
except ReadError as e:
    print(f"Could not read replay: {e}")

# Safe parsing function
def safe_parse(filepath):
    try:
        return parse_replay(filepath)
    except (CutoffTimeError, ReplayFormatError, ReadError) as e:
        print(f"Failed to parse {filepath}: {e}")
        return None
```

--------------------------------

### parse_replay

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

The primary function for parsing StarCraft 2 replay files, returning a comprehensive dictionary of game data.

```APIDOC
## parse_replay

### Description
Parses a StarCraft 2 replay file and returns a dictionary containing game metadata, player information, build orders, and unit events.

### Parameters
#### Path Parameters
- **filename** (str/file-like) - Required - The path to the .SC2Replay file or a file-like object.

#### Query Parameters
- **cutoff_time** (str) - Optional - Stop processing events after a specified game time (e.g., '5:00').
- **cache_dir** (str) - Optional - Directory path to store and retrieve cached results using MD5 hashing.
- **include_map_details** (bool) - Optional - Include map dimensions and clock position information for units and events.

### Response
#### Success Response (dict)
- **map** (str) - Name of the map.
- **game_type** (str) - Type of game (e.g., 1v1).
- **expansion** (str) - Game expansion (e.g., LotV).
- **frames** (int) - Total duration of the game in frames.
- **players** (dict) - Dictionary of player data keyed by player_id, containing name, race, result, league, and buildOrder.
```

--------------------------------

### Player Object Properties

Source: https://github.com/stoicloofah/spawningtool/wiki/Diving-into-the-Data

Details for an individual player in the game. This object is part of the root 'players' object.

```javascript
clock_position: null
color: "B4141E"
handicap: 100
is_human: true
is_winner: true
league: 8
level: 33
name: "AxAlicia"
pick_race: "Protoss"
race: "Protoss"
region: "us"
result: "Win"
supply: Array[122]
team: 1
uid: 4174681
unitsLost: Array[121]
```

--------------------------------

### Units Lost Object Properties

Source: https://github.com/stoicloofah/spawningtool/wiki/Diving-into-the-Data

Information about a unit lost by a player, including when it was lost and by which player.

```javascript
unitsLost:
clock_position: null
frame: 14226
killer: 2 <-- the id for the player who killed the unit unfortunately we don't know what unit did the killing
name: "HighTemplar"
time: "14:49"
```

--------------------------------

### Access Units Lost Events

Source: https://context7.com/stoicloofah/spawningtool/llms.txt

Retrieve information about units lost during a game, including when they were lost, their type, and the player who destroyed them. This snippet groups lost units by type and counts them.

```python
import spawningtool.parser

result = spawningtool.parser.parse_replay('replays/game.SC2Replay')

for player_id, player in result['players'].items():
    print(f"\nUnits lost by {player['name']}:")

    # Group units lost by type
    units_lost_count = {}
    for event in player['unitsLost']:
        # Event structure:
        # {
        #     'frame': 5000,        # Game frame
        #     'time': '5:12',       # Human-readable time
        #     'name': 'Marine',     # Unit type
        #     'killer': 2,          # Player ID of killer
        #     'clock_position': 6   # Map position (if enabled)
        # }

        name = event['name']
        units_lost_count[name] = units_lost_count.get(name, 0) + 1

    for unit, count in sorted(units_lost_count.items(), key=lambda x: -x[1]):
        print(f"  {unit}: {count}")
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.