Metadata-Version: 2.1
Name: dftt_timecode
Version: 0.0.8
Summary: Timecode library for film and TV industry, supports HFR and a bunch of cool features
Home-page: https://github.com/OwenYou/dftt_timecode
Author: You Ziyuan
Author-email: hikaridragon0216@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: License :: OSI Approved :: GNU Lesser General Public License v2 (LGPLv2)
Classifier: Natural Language :: Chinese (Simplified)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE.txt

## 1. 简介 Introduction

为影视行业设计的Python时码库，支持HFR高帧率以及其他丰富的功能。

Python timecode library for film and TV industry, supports HFR and a bunch of cool features.

### 1.1 主要功能 Main Features

- 支持多种时码格式输入，如SMPTE、SRT、DLP（Cine Canvas）、FFMPEG、FCPX、帧号、现实时间等。

  Multiple timecode format support, including SMPTE, SRT, DLP(Cine Canvas), FFMPEG, FCPX, frame count, time, etc.

- 支持高帧率，目前支持0.01-999.99fps范围内的帧率。

  High frame rate support, currently support frame range from 0.01 to 999.99fps.

- 支持严格的丢帧/非丢帧SMPTE格式。

  Strictly support SMPTE DF/NDF format.

- 目前支持-99到99小时时间范围。

  Currently support time range from -99 to 99 hours.

- 支持**严格**模式，在该模式下时码会在0-24小时范围内循环，任意超出该范围的时码会自动转换至范围内。

  **Strict** Mode support, timecode will circulate from 0 to 24 hours, any timecode outside this range will be automaticly converted to a timecode inside it.

- 内部以高精度时间戳进行存储和计算，各类FPS转换、时码格式转换输出都能保持最高精度。

  Uses high precision time stamp inside for storage and calculation, any FPS conversion or format conversion output can maintain their highest precision.

- 常用运算符支持，包括时码与时码、时码与数字的各类加减乘除、比较运算。

  Common operator support, including addtion, subtraction, multiplication, division and comparison operator between two timecode object or a timecode object and a number.

## 2. 如何安装 How to install

```python
python pip install dftt_timecode
```

### 2.1 包依赖 Package dependency

- fractions
- logging
- math
- functools
- re

## 3. 使用方法说明 How to use 

### 3.1 导入 Import

```python
from dftt_timecode import DfttTimecode
```

### 3.2 新建时码类对象 Create timecode objects

```Python
a = DfttTimecode('01:00:00:00', 'auto', fps=24, drop_frame=False, strict=True)
#以SMPTE非丢帧时码新建对象 Create object using SMPTE NDF
a = DfttTimecode('1000f', 'auto', fps=119.88, drop_frame=True, strict=True)
#以帧数新建对象 Create object using frame count
a = DfttTimecode('3600.0s', 'auto', fps=Fraction(60000,1001), drop_frame=True, strict=True)
#以时间秒新建对象 Create object using time
a = DfttTimecode(-1200, 'auto', fps=23.976, drop_frame=False, strict=False)
#以int帧数新建对象 Create object using int frame count
```

对DfttTimecode()相关参数的详细说明，请查阅`4.1 DfttTimecode()参数说明`。

For detailed parameters descriptions of DfttTimecode(), please refer to chapter `4.1 Parameters Descriptions of DfttTimecode()`.

### 3.3 操作时码类对象 Operate DfttTimecode objects

```python
a = DfttTimecode('01:00:00:00', 'auto', fps=24, drop_frame=False, strict=True)
assert a.type == 'smpte'
assert a.fps == 24
assert a.framecount == 86400
assert a.is_drop_frame == False
assert a.is_strict == True
assert a.timecode_output('smpte',output_part=0) == '01:00:00:00'
assert a.timecode_output('srt',output_part=1) == '01'

a = DfttTimecode('25:00:01:103', 'auto', fps=120, drop_frame=False, strict=False)
a.set_fps(24)
assert a.fps == 24
assert a.timecode_output('smpte') == '25:00:01:21'
a.set_strict(strict=True)
assert a.timecode_output('smpte') == '01:00:01:21'
a.set_strict(strict=False)
assert a.is_strict == False
```
对时码类对象操作的详细说明，请查阅`4.2 时码类对象操作说明`。

For detailed descriptions of DfttTimecode objects' operations, please refer to chapter `4.2 Descriptions of DfttTimecode class operations`.

### 3.4 时码类运算符 Operators of DfttTimecode class

对时码类运算符的详细说明，请查阅`4.3 时码类运算符说明`

For detailed descriptions of DfttTimecode's operators, please refer to chapter `4.3 Descriptions of DfttTimecode class operators`.

## 4 参数详细说明 Detailed Parameters Descriptions

### 4.1 DfttTimecode()参数说明 Parameters Descriptions of DfttTimecode()

#### 4.1.1 参数一览 General Descriptions

```python
a = DfttTimecode(timecode_value, timecode_type, fps, drop_frame, strict)
```

- **`timecode_value`**是时码对象的时码值，可以是`str`、`int`、`float`、`tuple`、`list`、`Fraction`类型。

  **`timecode_value`** is the value of a timecode, it can be a `str`, `int`, `float`, `tuple`, `list` or a `Fraction`.

- **`timecode_type`**是时码对象的类型，是`str`类型，目前支持的时码类型包括`auto`、 `smpte`、 `srt`、 `ffmpeg`、 `fcpx`、 `frame`、 `time`。

  **`timecode_type`** must be a `str`, currently supported timecode types include `auto`, `smpte`, `srt`, `ffmpeg`, `fcpx`, `frame`, `time`.

- **`fps`**是时码对象的帧率，可以是`int`、`float`、`Fraction`类型。

  **`fps`** is the frame rate of the timecode object, can be a `int`, `float` or a `Fraction`.

- **`drop_frame`**是时码对象的丢帧设置，是`bool`类型，只有当帧率存在丢帧格式时，这一设置才会生效，否则会强制将丢帧设为`False`。**`drop_frame`**的默认值是`False`。

  **`drop_frame`** must be a `bool`, a timecode object can only be drop-frameable under spcific frame rate settings, if not so, **`drop_frame`** will be forced to `False`. The default value of **`drop_frame`** is `False`.

- **`strict`**为时码对象设置严格模式，是`bool`类型。设为`True`后，负值和超过24小时的时码都将被转换为0-24小时范围内的值，例如`25:00:00:00`将被转换为`01:00:00:00`, `-01:00:00:00`将被转换为`23:00:00:00`。

  **`strict`** will set strict mode for a timecode object, it must be a `bool`. When set to `True`, negative timecode value and timecode value over 24 hours will be converted to a value inside range 0 to 24 hours. For example, 25:00:00:00 will be converted to 01:00:00:00, -01:00:00:00 will be converted to 23:00:00:00.
#### 4.1.2 timecode_value

#### 4.1.3 timecode_type

#### 4.1.4 fps

#### 4.1.5 drop_frame

#### 4.1.6 strict

#### 4.1.7 补充说明 Additional info

### 4.2 时码类对象操作说明 Descriptions of DfttTimecode class operations

#### 4.2.1 self.type

#### 4.2.2 self.fps

#### 4.2.3 self.framecount

#### 4.2.4 self.is_drop_frame

#### 4.2.5 self.is_strict

#### 4.2.6 self.set_fps()

#### 4.2.7 self.set_type()

#### 4.2.8 self.set_strict()

### 4.3 时码类运算符说明 Descriptions of DfttTimecode class operators

#### 4.3.1 \_\_repr\_\_()

#### 4.3.2 +

#### 4.3.3 -

#### 4.3.4 \*

#### 4.3.5 /

#### 4.3.6 =

#### 4.3.7 \!=

#### 4.3.8 >

#### 4.3.9 >=

#### 4.3.10 <

#### 4.3.11 <=



