diff --git a/docs/ipynb_post_processor.py b/docs/ipynb_post_processor.py deleted file mode 100644 index 2012e2ba70..0000000000 --- a/docs/ipynb_post_processor.py +++ /dev/null @@ -1,127 +0,0 @@ -# Copyright (c) 2016, Xilinx, Inc. -# All rights reserved. -# -# Redistribution and use in source and binary forms, with or without -# modification, are permitted provided that the following conditions are met: -# -# 1. Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# -# 2. Redistributions in binary form must reproduce the above copyright -# notice, this list of conditions and the following disclaimer in the -# documentation and/or other materials provided with the distribution. -# -# 3. Neither the name of the copyright holder nor the names of its -# contributors may be used to endorse or promote products derived from -# this software without specific prior written permission. -# -# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" -# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, -# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR -# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION). HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -__author__ = "Xilinx" -__copyright__ = "Copyright 2016, Xilinx" -__email__ = "pynq_support@xilinx.com" - -"""Script to overcome bug in current nbsphinx-Sphinx flow. - -This file is modified on 13 April 2016 - -Note ----- -nbsphinx only seems to recognize Jupyter notebook image references specified -in "![](images/image.jpeg)" markdown format. - -This script post-processes Jupyter notebook (.ipynb) files prior to their -being processed by npsphinx and Sphinx. - -1. It removes a markdown reference to an image file WHICH MUST APPEAR AS THE -LAST LINE IN A GIVEN MARKDOWN CELL. - -2. It then inserts a RAW cell with reST annotation which includes a figure -directive for the image with center alignment. - -3. It repeats this for all markdown cells with markdown image references as -their last line. - -4. Finally it rewrites the <.ipynb> as files. The original files will be -saved in a temporary folder. The new files can then be processed by -the nbsphinx-Sphinx flow. - -It is expected that the script will be run in the docs directory of the Sphinx -project (beside the makefile). The target_dir variable should be set to -./source for nornmal operation. - -""" - - -import os -import json -import re -import shutil - -# Set target_directory and create list of *.ipynb files within it -target_dir = "./source" -temp_dir = "./source/temp" -if not os.path.exists(temp_dir): - os.makedirs(temp_dir) - -# Find all Jupyter notebook (.ipynb) files -ipynb_files = [file for file in os.listdir(target_dir) \ - if file.endswith(".ipynb")] -print('Found {} notebook (.ipynb) files in {}'.format(len(ipynb_files), \ - os.path.abspath(target_dir))) - -# Regex for the image reference pattern within markdown cells in *.ipynb -image_ref_pattern = "\!\[].*/((.*[png jpeg jpg JPG]))" - -# Load each of the identified *.ipynb (JSON-formatted) files as a dict -for file in ipynb_files: - # Make a copy - file_name, file_ext = os.path.splitext(os.path.basename(file)) - temp_file = file_name + ".tmp" - shutil.copyfile(target_dir + '/' + file, temp_dir + '/' + temp_file) - with open(target_dir + '/' + file, 'r+', encoding='utf-8') as f: - notebook = json.load(f) - print('Scanning file {}'.format(file)) - - # Build markdown_cells with a string matching image_ref_pattern - match_count = 0 - for i, notebook_cell in enumerate(notebook['cells']): - if notebook_cell['cell_type'] == 'markdown': - for j, source_str in enumerate(notebook_cell['source']): - match = re.search(image_ref_pattern, source_str) - if match != None: - match_count += 1 - if j != len(notebook_cell['source'])-1: - raise RuntimeError('{} was not the last entry '+ \ - 'in the markdown cell'.format(source_str)) - else: - del notebook_cell['source'][-1] - reST_figure_directive = ".. figure:: " + \ - "images/" + match.group(1) + " \n" - reST_cell = { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, - "source": [ - reST_figure_directive, - " :align: center" - ] - } - # Create new notebook cell after the current one - notebook['cells'].insert(i+1, reST_cell) - - if match_count != 0: - # Create the new post-processed ipynb file with updated JSON - with open(target_dir + '/' + file, 'w') as f_pp: - f_pp.write(json.dumps(notebook, indent = 1, sort_keys=True)) diff --git a/docs/source/0_whats_new.rst b/docs/source/0_whats_new.rst new file mode 100644 index 0000000000..36fc78b3ea --- /dev/null +++ b/docs/source/0_whats_new.rst @@ -0,0 +1,38 @@ +************************** +What's New +************************** + +.. contents:: Table of Contents + :depth: 2 + +v1.4 PYNQ image +=============================== + +The latest PYNQ image for the Pynq-Z1 is available here: + +* `Download the v1.4 PYNQ-Z1 2016_02_10 image `_ + +This image corresponds to the `v1.4 tag branch on the Pynq GitHub repository `_. + +This version of the documentation refers to the new image. The previous version of the documentation, corresponding to the previous image release, can be accessed from the ReadTheDocs version menu. + +In almost all cases, Python and IOP code developed for previous Pynq versions should be forwards compatible with the current image. + +Summary of updates +----------------------- + +* The Xilinx Linux kernel has been upgraded to 4.6.0. +* Python has been updated to 3.6. +* The Jupyter Notebook Extension has been added. +* The base overlay has been updated to include an interrupt controller from the IOPs to the Zynq PS. +* The IOPs have a direct interface to DRAM. +* The IOPs in the base overlay have an interrupt controller connected to the local peripherals in the IOP. +* The ``asyncio`` python package has been added and can be used to manage interrupts from an overlay +* The GPIO of the Arduino IOP has been modified +* The tracebuffer, video and PL APIs have been improved. +* Additional Pmod drivers added +* Additional Linux drivers added +* Linux library updates, and other bug fixes. + +For a more complete list of changes, see the `Pynq changelog `_ + diff --git a/docs/source/temp/9c_base_overlay_audio.tmp b/docs/source/10_base_overlay_audio.ipynb similarity index 94% rename from docs/source/temp/9c_base_overlay_audio.tmp rename to docs/source/10_base_overlay_audio.ipynb index 7d729bf7af..285cf7adf0 100644 --- a/docs/source/temp/9c_base_overlay_audio.tmp +++ b/docs/source/10_base_overlay_audio.ipynb @@ -6,7 +6,7 @@ "source": [ "# Audio using the Base Overlay\n", "\n", - "The PYNQ-Z1 board contains an integrated MIC, and line out connected to a 3.5mm jack. Both these interfaces are connected to the FPGA fabric of the Zynq chip. The Microphone has a PDM interface, and the line out is a PWM driven mono output. \n", + "The PYNQ-Z1 board contains an integrated MIC, and line out connected to a 3.5mm jack. Both these interfaces are connected to the FPGA fabric of the Zynq® chip. The Microphone has a PDM interface, and the line out is a PWM driven mono output. \n", "\n", "It is possible to play back audio from the board in a notebook, and to capture audio from other interfaces like HDMI, or a USB audio capture device. This notebook will only consider the MIC and line out interfaces on the board. \n", "\n", @@ -27,7 +27,13 @@ "## Audio IP in base overlay\n", "\n", "To use audio on the PYNQ-Z1, audio controllers must be included in a hardware library or overlay. The *base* overlay contains a the PDM capture and PWM driver for the two audio interfaces as indicated in the image below:\n", - "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ "![](images/audio_block_diagram.jpg)" ] }, @@ -144,4 +150,4 @@ }, "nbformat": 4, "nbformat_minor": 1 -} +} \ No newline at end of file diff --git a/docs/source/11a_iop_architecture.rst b/docs/source/11a_iop_architecture.rst new file mode 100644 index 0000000000..2ef45c88b5 --- /dev/null +++ b/docs/source/11a_iop_architecture.rst @@ -0,0 +1,175 @@ +******************************* +IO Processor Architecture +******************************* + +.. contents:: Table of Contents + :depth: 2 + +Introduction +================== + +For overlays to be useful, they must provide sufficient functionality, while also providing flexibility to suit a wide range of applications. Flexibility in the base overlay is demonstrated through the use of IO Processors (IOPs). + +An IO Processor is implemented in the programmable logic and connects to and controls an external port on the board. There are two types of IOP: Pmod IOP and Arduino IOP. + +Each IOP contains a MicroBlaze processor, a configurable switch, peripherals, and local memory for the MicroBlaze instruction and data memory. The local memory is dual-ported (implemented in Xilinx BRAMs), with one port connected to the MicroBlaze, and the other connected to the ARM® Cortex®-A9 processor. This allows the ARM processor to access the MicroBlaze memory and dynamically write a new program to the MicroBlaze instruction area. + +The data area of the memory can be used for communication and data exchanges between the ARM processor and the IOP(s). E.g. a simple mailbox. + +The IOP also has an interface to DDR memory. This allows the DDR to be used as data memory in addition to the local memory. This allows larger applications to be written (where data memory is the limitation) and allows a larger mailbox size for data transfer between the PS (Python) and the IOP. The DDR interface also allows different IOPs to communicate with each other directly without intervention from the PS (Python). + +In the base overlay, two IOPs control each of the two Pmod interfaces, and another IOP controls the Arduino interface. Inside the IOP are dedicated peripherals; timers, UART, IIC, SPI, GPIO, and a configurable switch. (Not all peripherals are available in the Pmod IOP.) + +IIC and SPI are standard interfaces used by many of the available Pmod, Grove and other peripherals. GPIO can be used to connect to custom interfaces or used as simple inputs and outputs. + +When a Pmod, Arduino shield, or other peripheral is plugged in to a port, the configurable switch allows the signals to be routed dynamically to the required dedicated interface. This is how the IOP provides flexibility and allows peripherals with different pin connections and protocols to be used on the same port. + + +Pmod IOP +================== + +Two Pmod IOPs are included in the base overlay to control each of the two Pmod interfaces on the board. + +.. image:: ./images/pmod_iop.jpg + :align: center + +As indicated in the diagram, the Pmod IOP has a MicroBlaze, a configurable switch, and the following peripherals: + + +* `AXI Timer `_ +* `AXI IIC `_ +* `AXI SPI `_ +* `AXI GPIO `_ + + + +Pmod IOP peripherals +------------------------ + +I2C +^^^^^^^^^^^^^^^^^^^ + +The I2C configuration is: + * Frequency: 100KHz + * Address mode: 7 bit + +SPI +^^^^^^^^^^^^^^^^^^^ + +The SPI configuration is: + * Standard mode + * Transaction width: 8 + * Frequency: 6.25 MHz (100MHz/16) + * Master mode + * Fifo depth: 16 + +GPIO blocks +^^^^^^^^^^^^^^^^^^^ + +The GPIO block supports 8 input or output pins + +Timer +^^^^^^^^^^^^^^^^^^^ + +The timer is 32 bits width, and has a *Generate* output, and a PWM output. The *Generate* signal can output one-time or periodic signal based on a loaded value. For example, on loading a value, the timer can count up or down. Once the counter expires (on a carry) a signal can be generated. The timer can stop, or automatically reload. + +Interrupt controller +^^^^^^^^^^^^^^^^^^^^^^^^^^ + +The I2c, SPI, GPIO and Timer are connected to the interrupt controller. This is the standard MicroBlaze interrupt controller, and interrupts can be managed by the IOP in a similar way to any other MicroBlaze application. + +Pmod IOP configurable switch +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +The configurable switch can route signals from the internal IP to the external FPGA pins. The switch is controlled by the MicroBlaze, and can be configured from an IOP application. + +For details on using the switch, see the next sections on *IO Processors: Writing your own software* and *IO Processors: Using peripherals in your applications*. + + + +Arduino IOP +=========================== + +Similar to the Pmod IOP, an Arduino IOP is available to control the Arduino interface. The Arduino IOP is similar to the PMOD IOP, but has some additional internal peripherals (extra timers, an extra I2c, and SPI, a UART, and an XADC). The configurable switch is also different to the Pmod switch. + +.. image:: ./images/arduino_iop.jpg + :align: center + +As indicated in the diagram, the Arduino IOP has a MicroBlaze, a configurable switch, and the following peripherals: + + + +* 6x `AXI Timer `_ +* 2x `AXI IIC `_ +* 2x `AXI SPI `_ +* 3x `AXI GPIO `_ +* 1x `AXI UART `_ +* 1x `AXI Interrupt controller `_ +* 1x `AXI XADC `_ + + +Arduino IOP peripherals +------------------------ + +The I2C, SPI, GPIO and Timer blocks are the same as the Pmod IOP blocks. The only difference in the Arduino IOP with these blocks is that for the IIC and SPI, 2 interfaces are enabled, for the GPIO 3 blocks are include, and 6 timers. + +I2C +^^^^^^^^^^^^^^^^^^^ +Two I2C available. + +SPI +^^^^^^^^^^^^^^^^^^^ + +Two SPI available. One is always connected to the Arduino interface dedicated SPI pins. + +GPIO blocks +^^^^^^^^^^^^^^^^^^^ + +There are three GPIO block available. They support 16 input or output pins on the Arduino interface (D0 - D15). + +Timers +^^^^^^^^^^^^^^^^^^^ + +There are six timers available. + +UART +^^^^^^^^^^^^^^^^^^^^^^^ + +There is a UART controller, with a fixed configuration of 9600 baud. The UART can be connected to the Arduino UART pins. The UART configuration is hard coded, and is part of the overlay. It is not possible to modify the UART configuration in software. + +Interrupt controller +^^^^^^^^^^^^^^^^^^^^^^^ + +The interrupt controller can be connected to all the analog and digital pins, and each of the 6 timers, the I2Cs, the SPIs, the XADC, and UART. This means an external pin on the shield interface can trigger an interrupt. An internal peripheral can also trigger an interrupt. + +Arduino shields have fixed possible configurations. According to the Arduino specification, the analog pins can be used as analog, or digital I/O. + +Other peripherals can be connected as indicated in the table. + +========== ========================= +Peripheral Pins +========== ========================= +UART D0, D1 +I2C A4, A5 +SPI* D10 - D13 +PWM D3, D5, D6, D9, D10, D11 +Timer D3 - D6 and D8 - D11 +========== ========================= + +\* There are also dedicated pins for a separate SPI. + +For example, a shield with a UART and 5 Digital IO can connect the UART to pins D0, D1, and the Digital IO can be connected to pins D2 - D6. + +While there is support for analog inputs via the internal XADC, this only allows inputs of 0-1V. The Arduino interface supports 0-5V analog inputs which is not supported on the PYNQ-Z1. + + +Arduino IOP configurable Switch +--------------------------------- + +The switch is controlled by the MicroBlaze, and can be configured by writing to its configuration registers from an IOP application. + +The dedicated SPI pins that are part of the Arduino interface are always connected to one of the SPI controllers. + +The analog and digital pins can be configured by writing a 4-bit value to the corresponding place in the IO switch configuration registers, similar to the Pmod switch. + +For details on using the switch, see the next sections on *IO Processors: Writing your own software* and *IO Processors: Using peripherals in your applications*. \ No newline at end of file diff --git a/docs/source/11b_iop_applications.rst b/docs/source/11b_iop_applications.rst new file mode 100644 index 0000000000..a3063d89bf --- /dev/null +++ b/docs/source/11b_iop_applications.rst @@ -0,0 +1,245 @@ +******************************************** +IO Processors: Software Architecture +******************************************** + +.. contents:: Table of Contents + :depth: 2 + +There are a number of steps required before you can start writing your own software for an IOP (IO Processor). This document will describe the IOP architecture, and how to set up and build the required software projects to allow you to write your own application for the MicroBlaze inside an IOP. Xilinx® SDK projects can be created manually using the SDK GUI, or software can be built using a Makefile flow. + +IO Processors +============== + +As described in the previous section, an IOP can be used as a flexible controller for different types of external peripherals. The ARM® Cortex®-A9 is an application processor, which runs Pynq and Jupyter notebook on a Linux OS. This scenario is not well suited to real-time applications, which is a common requirement for an embedded systems. In the base overlay there are three IOPs. As well as acting as a flexible controller, an IOP can be used as dedicated real-time controller. + +IOPs can also be used standalone to offload some processing from the main processor. However, note that the MicroBlaze processor inside an IOP in the base overlay is running at 100 MHz, compared to the Dual-Core ARM Cortex-A9 running at 650 MHz. The clock speed, and different processor architectures and features should be taken into account when offloading pure application code. e.g. Vector processing on the ARM Cortex-A9 Neon processing unit will be much more efficient than running on the MicroBlaze. The MicroBlaze is most appropriate for low-level, background, or real-time applications. + + +Software requirements +========================== + +`Xilinx SDK (Software Development Kit) `_ contains the MicroBlaze cross-compiler which can be used to build software for the MicroBlaze inside an IOP. SDK is available for free as part of the `Xilinx Vivado WebPack `_. + +The full source code for all supported IOP peripherals is available from the project GitHub. Pynq ships with precompiled IOP executables to support various peripherals (see `Pynq Modules `_), so Xilinx software is only needed if you intend to modify existing code, or build your own IOP applications/peripheral drivers. + +The current Pynq release is built using Vivado and SDK 2016.1. it is recommended to use the same version to rebuild existing Vivado and SDK projects. If you only intend to build software, you will only need to install SDK. The full Vivado and SDK installation is only required to modify or design new overlays. `Download Xilinx Vivado and SDK 2016.1 `_ +You can use the Vivado HLx Web Install Client and select SDK and/or Vivado during the installation. + +Compiling projects +========================== + +Software executables run on the MicroBlaze inside an IOP. Code for the MicroBlaze can be written in C or C++ and compiled using Xilinx SDK . + +You can pull or clone the Pynq GitHub repository, and all the driver source and project files can be found in ``\Pynq-Z1\sdk``, (Where ```` is the location of the PYNQ repository). + +SDK Application, Board Support Package, Hardware Platform +---------------------------------------------------------------------- + +Each SDK application project requires a BSP project (Board Support Package), and a hardware platform project. The application project will include the user code (C/C++). The Application project is linked to a BSP. The BSP (Board Support Package) contains software libraries and drivers to support the underlying peripherals in the system and is automatically generated in SDK. The BSP is then linked to a Hardware Platform. A Hardware Platform defines the peripherals in the IOP subsystem, and the memory map of the system. It is used by the BSP to build software libraries to support the underlying hardware. The hardware platform is also automatically generated in SDK. + +All *Application* projects and the underlying BSP and hardware platform can be compiled from the command line using makefiles, or imported into the SDK GUI. + +You can also use existing projects as a starting point to create your own project. + +Hardware Platform (HDF file) +----------------------------- + +Before an Application project and BSP can be created or compiled in SDK, a *Hardware Platform* project is required. + +A Hardware Description File (.hdf), created by Vivado, is used to create the *Hardware Platfrom* project in SDK. + +A precompiled .hdf file is provided, so it is not necessary to run Vivado to generate a .hdf file: + + ``/Pynq-Z1/sdk/`` + +There will be one hardware platform for each overlay. + +Board Support Package +-------------------------- + +Once the hardware platform has been generated, the BSP can be built. A BSP includes software libraries for peripherals in the system. It must be linked to a Hardware Platform, as this is where the peripherals in the system are defined. Once the BSP has been generated, an application project can then be linked to a BSP, and use the software libraries available in the BSP. + +A BSP is specific to a processor subsystem. There can be many BSPs associated with an overlay, depending on the types of processors available in the system. In the case of the base overlay, there are two types of processor subsystems: Pmod IOP and Arduino IOP which both require a BSP. The BSPs will share the same hardware platform. + +An application for the Pmod IOP will be linked to the Pmod IOP BSP. As the two Pmod IOPs are identical, an application written for one Pmod IOP can run on the other Pmod IOP. An Arduino application will be linked to the Pmod IOP BSP. + +Building the projects +-------------------------- + +A Makefile to automatically create and build the Hardware Platform and the BSP can be found in the same location as the .hdf file. + + ``/Pynq-Z1/sdk/makefile`` + +Application projects for peripherals that ship with Pynq (e.g. Pmods and Grove peripherals) can also be found in the same location. Each project is contained in a separate folder. + +The makefile uses the .hdf file to create the Hardware Platform. The BSP can then be created. The application projects will also be compiled automatically as part of this process. + +The makefile requires SDK to be installed, and can be run from Windows, or Linux. + +To run ``make`` from Windows, open SDK, and choose a temporary workspace (make sure this path is external to the downloaded GitHub repository). From the *Xilinx Tools* menu, select *Launch Shell* + +.. image:: ./images/sdk_launch_shell.jpg + :scale: 75% + :align: center + +In Linux, open a terminal, and source the SDK tools. + +From either the Windows Shell, or the Linux terminal, navigate to the sdk folder in your local copy of the GitHub repository: + + cd to ``/Pynq-Z1/sdk`` and run ``make`` + +.. image:: ./images/sdk_make.JPG + :scale: 75% + :align: center + +.. image:: ./images/sdk_make_result.JPG + :scale: 75% + :align: center + +This will create the Hardware Platform Project (*hw_def*), and the Board Support Package (*bsp*), and then link and build all the application projects. + +If you examine the makefile, you can see how the *MBBINS* variable at the top of the makefile is used to compile the application projects. If you want to add your own custom project to the build process, you need to add the project name to the *MBBINS* variable, and save the project in the same location as the other application projects. + +Individual projects can be built by navigating to the ``/Debug`` and running ``make``. + +Binary files +----------------- + +Compiling code produces an executable file (.elf) which needs to be converted to binary format (.bin) to be downloaded to, and run on, an IOP. + +A .bin file can be generated from a .elf by running the following command from the SDK shell: + + ``mb-objcopy -O binary .elf .bin`` + +This is done automatically by the makefile for the existing application projects. The makefile will also copy all .bin files into the ``/Pynq-Z1/sdk/bin`` folder. + +Creating your own Application project +-------------------------------------- + +Using the akefile flow, you can use an existing project as a starting point for your own project. + +Copy and rename the project, and modify or replace the .c file in the src/ with your C code. The generated .bin file will have the same base name as your C file. + +e.g. if your C code is my_peripheral.c, the generated .elf and .bin will be my_peripheral.elf and my_peripheral.bin. + +The following naming convention is recommended for peripheral applications _ + +You will need to update references from the old project name to your new project name in ``/Debug/makefile`` and ``/Debug/src/subdir.mk`` + +If you want your project to build in the main makefile, you should also append the .bin name of your project to the *MBBINS* variable at the top of the makefile. + +If you are using the SDK GUI, you can import the Hardware Platform, BSP, and any application projects into your SDK workspace. + +.. image:: ./images/sdk_import_bsp.JPG + :scale: 75% + :align: center + + +The SDK GUI can be used to build and debug your code. + +IOP Memory architecture +========================== + + +Each IOP has local memory (implemented in Xilinx BRAMs) and a connection to the PS DDR memory. + +The IOP instruction and data memory is implemented in a dual port Block RAM, with one port connected to the IOP, and the other to the ARM processor. This allows an executable binary file to be written from the ARM (i.e. the Pynq environment) to the IOP instruction memory. The IOP can also be reset from Pynq, allowing the IOP to start executing the new program. + +The IOP data memory, either in local memory, or in DDR memory, can be used as a mailbox for communication and data exchanges between the Pynq environment and the IOP. + +DDR memory buffer +----------------------- + +DDR memory is managed by the Linux kernel running on the Cortex-A9s. Therefore, the IOP must first be allocated memory regions to access DRAM – this allocation is accomplished within pynq using the xlnk driver. + +One benefit of using the pynq xlnk driver is that the physical address is also recorded. By having that mapping, Pynq applications can then send the physical address of that buffer to programmable logic as a pointer. + +A single IOP, or multiple IOPs or other devices in an overlay could access this additional memory. For multiple IOPs accessing the same memory buffer, the user should determine a convention to ensure data is not corrupted. + +For example, a mailbox could be defined inside a shared memory buffer with specific read and write locations for each IOP. The Python application would need to reserve the required memory buffer for this mailbox. + + ================= ==================== ====================== + Shared Memory IOP1 IOP2 + ================= ==================== ====================== + buffer(0) command (write) command (read) + buffer(1) acknowledge(read) acknowledge(write) + buffer(100->199) data (write) data(read) + buffer(200->299) data (read) data(write) + ================= ==================== ====================== + +Remember that there is no memory protection, and nothing to stop an IOP writing to any location, so these read/write addresses should be managed by the IOP application designer. + +DDR memory connect +--------------------- + +The IOPs are connected to the DDR memory via the General Purpose AXI slave port. This is a direct connection, and no DMA is available, so is only suitable for simple data transfers from the IOP. I.e. The MicroBlaze can attempt to read or write the DDR as quickly as possible in a loop, but there is no support for bursts, or streaming data. + +IOP Memory map +---------------- + +The local IOP memory is 64KB of shared data and instruction memory. Instruction memory for the IOP starts at address 0x0. + +Pynq and the application running on the IOP can write to anywhere in the shared memory space. You should be careful not to write to the instruction memory unintentionally as this will corrupt the running application. + +When building the MicroBlaze project, the compiler will only ensure that the application and *allocated* stack and heap fit into the BRAM and DDR if used. For communication between the ARM and the MicroBlaze, a part of the shared memory space must also be reserved within the MicroBlaze address space. + +There is no memory management in the IOP. You must ensure the application, including stack and heap, do not overflow into the defined data area. Remember that declaring a stack and heap size only allocates space to the stack and heap. No boundary is created, so if sufficient space was not allocated, the stack and heap may overflow and corrupt your application. + +If you need to modify the stack and heap for an application, the linker script can be found in the ``/src/`` directory. + +It is recommended to follow the same convention for data communication between the two processors via a MAILBOX. + + + ================================= ======== + Instruction and data memory start 0x0 + Instruction and data memory size 0xf000 + Shared mailbox memory start 0xf000 + Shared mailbox memory size 0x1000 + Shared mailbox Command Address 0xfffc + ================================= ======== + +These MAILBOX values for an IOP application are defined here: + +.. code-block:: console + + /Pynq-Z1/vivado/ip/arduino_io_switch_1.0/ \ + drivers/arduino_io_switch_1.0/src/arduino.h + /Pynq-Z1/vivado/ip/pmod_io_switch_1.0/ \ + drivers/pmod_io_switch_1.0/src/pmod.h + +The corresponding Python constants are defined here: + +.. code-block:: console + + /python/pynq/iop/iop_const.py + + + + +The following example explains how Python could initiate a read from a peripheral connected to an IOP. + +1. Python writes a read command (e.g. 0x3) to the mailbox command address (0xfffc). +2. MicroBlaze application checks the command address, and reads and decodes the command. +3. MicroBlaze performs a read from the peripheral and places the data at the mailbox base address (0xf000). +4. MicroBlaze writes 0x0 to the mailbox command address (0xfffc) to confirm transaction is complete. +5. Python checks the command address (0xfffc), and sees that the MicroBlaze has written 0x0, indicating the read is complete, and data is available. +6. Python reads the data in the mailbox base address (0xf000), completing the read. + +Running code on different IOPs +================================= + + +The MicroBlaze local BRAM memory is mapped into the MircoBlaze address space, and also to the ARM address space. These address spaces are independent, so the local memory will be located at different addresses in each memory space. Some example mappings are shown below to highlight the address translation between MicroBlaze and ARM's memory spaces. + +================= ========================= ============================ +IOP Base Address MicroBlaze Address Space ARM Equivalent Address Space +================= ========================= ============================ +0x4000_0000 0x0000_0000 - 0x0000_ffff 0x4000_0000 - 0x4000_ffff +0x4200_0000 0x0000_0000 - 0x0000_ffff 0x4200_0000 - 0x4200_ffff +0x4400_0000 0x0000_0000 - 0x0000_ffff 0x4400_0000 - 0x4400_ffff +================= ========================= ============================ + +Note that each MicroBlaze has the same range for its address space. However, the location of each IOPs address space in the ARM memory map is different for each IOP. As the address space is the same for each IOP, any binary compiled for one Pmod IOP will work on another Pmod IOP. + +e.g. if IOP1 exists at 0x4000_0000, and IOP2 (a second instance of an IOP) exists at 0x4200_0000, the same binary can run on IOP1 by writing the binary from python to the 0x4000_0000 address space, and on IOP2 by writing to the 0x4200_0000. + diff --git a/docs/source/11c_iop_using_peripherals.rst b/docs/source/11c_iop_using_peripherals.rst new file mode 100644 index 0000000000..7063870703 --- /dev/null +++ b/docs/source/11c_iop_using_peripherals.rst @@ -0,0 +1,398 @@ +******************************************************* +IO Processors: Writing applications +******************************************************* + +.. contents:: Table of Contents + :depth: 2 + +Introduction +=============== + +The previous section described the software architecture and the software build process. This section will cover how to write the IOP application and also the corresponding Python interface. + +The section assumes that the hardware platform and the BSPs have already been generated as detailed in the previous section. + +IOP header files and libraries +================================ + +A library is provided for the IOPs which includes an API for local peripherals (IIC, SPI, Timer, Uart, GPIO), the configurable switch, links to the peripheral addresses, and mappings for the mailbox used in the existing IOP peripheral applications provided with Pynq. This library can be used to write custom IOP applications. + +The only IP that is specific to each IOP is the configurable switch. There is a ``pmod_io_switch`` and an ``arduino_io_switch``. The header files for the IOPs are associated with the corresponding configurable switch, and can be found here + +:: + + /Pynq-Z1/vivado/ip/pmod_io_switch_1.0/ \ + drivers/pmod_io_switch_v1_0/src/pmod.h + /Pynq-Z1/vivado/ip/arduino_io_switch_1.0/ \ + drivers/arduino_io_switch_v1_0/src/arduino.h + +The corresponding C code, ``pmod.c`` and ``arduino.c`` can also be found in this directory. + +Configurable switch header files +================================== + +There is a separate header file that corresponds to each configurable switch. These files include the API for the configuration switch and predefined constants that can be used to connect to the physical interface on the board. + +Pmod Configurable Switch header +--------------------------------------- + +You can find the header file for the Pmod IOP switch here: + +:: + + /Pynq-Z1/vivado/ip/pmod_io_switch_1.0/ \ + drivers/pmod_io_switch_v1_0/src/pmod_io_switch.h + +This code is automatically compiled into the Board Support Package (BSP). + + +Arduino +--------- + +The corresponding files for the Arduino IOP switch can be found here: + +:: + + /Pynq-Z1/vivado/ip/arduino_io_switch_1.0/ \ + drivers/arduino_io_switch_1.0/src/arduino_io_switch.h + + +Files to include +------------------------ + +To use these files in an IOP application, include the header file(s): + + +For a Pmod IOP: + +.. code-block:: c + + #include "pmod.h" + #include "pmod_io_switch.h" + +or for an Arduino IOP: + +.. code-block:: c + + #include "arduino.h" + #include "arduino_io_switch.h" + +Pmod applications should call ``pmod_init()`` at the beginning of the application, and Arduino applications, ``arduino_init()``. This will initialize all the IOP peripherals in the subsystem. + + +Controlling the Pmod IOP Switch +================================= + +The IOP switch needs to be configured by the IOP application before any peripherals can be used. This can be done statically from within the application, or the application can allow Python to write a switch configuration to shared memory, which can be used to configure the switch. This functionality must be implemented by the user, but existing IOP applications can be used as a guide. For example, the ``arduino_lcd18`` IOP project shows and example of reading the switch configuration from the mailbox, and using this to configure the switch. + +There are 8 data pins on a Pmod port, that can be connected to any of 16 internal peripheral pins (8x GPIO, 2x SPI, 4x IIC, 2x Timer). This means the configuration switch for the Pmod has 8 connections to make to the data pins. + +Each pin can be configured by writing a 4 bit value to the corresponding place in the IOP Switch configuration register. The first nibble (4-bits) configures the first pin, the second nibble the second pin and so on. + +The following function, part of the provided pmod_io_switch_v1_0 driver (``pmod.h``) can be used to configure the switch from an IOP application. + +.. code-block:: c + + void config_pmod_switch(char pin0, char pin1, char pin2, char pin3, char pin4, \ + char pin5, char pin6, char pin7); + +While each parameter is a "char" only the lower 4-bits are used to configure each pin. + +Switch mappings used for IOP Switch configuration: + +======== ======= + Pin Value +======== ======= + GPIO_0 0x0 + GPIO_1 0x1 + GPIO_2 0x2 + GPIO_3 0x3 + GPIO_4 0x4 + GPIO_5 0x5 + GPIO_6 0x6 + GPIO_7 0x7 + SCL 0x8 + SDA 0x9 + SPICLK 0xa + MISO 0xb + MOSI 0xc + SS 0xd + PWM 0xe + TIMER 0xf +======== ======= + +Example +--------- + +.. code-block:: c + + config_pmod_switch(SS,MOSI,GPIO_2,SPICLK,GPIO_4,GPIO_5,GPIO_6,GPIO_7); + +This would connect a SPI interface: + +* Pin 0: SS +* Pin 1: MOSI +* Pin 2: GPIO_2 +* Pin 3: SPICLK +* Pin 4: GPIO_4 +* Pin 5: GPIO_5 +* Pin 6: GPIO_6 +* Pin 7: GPIO_7 + +Note that if two or more pins are connected to the same signal, the pins are OR'd together internally. + + +.. code-block:: c + + config_pmod_switch(GPIO_1,GPIO_1,GPIO_1,GPIO_1,GPIO_1,GPIO_1,GPIO_1,GPIO_1); + +This is not recommended and should not be done unintentionally. + +Controlling the Arduino IOP Switch + +========================================= + +Switch mappings used for IO switch configuration: + +=== ====== ===== ========= ====== ====== ================ ======== ==== ============= + +Pin A/D IO A_INT Interrupt UART PWM Timer SPI IIC Input-Capture + +=== ====== ===== ========= ====== ====== ================ ======== ==== ============= +A0 A_GPIO A_INT +A1 A_GPIO A_INT +A2 A_GPIO A_INT +A3 A_GPIO A_INT +A4 A_GPIO A_INT IIC +A5 A_GPIO A_INT IIC +D0 D_GPIO D_INT D_UART +D1 D_GPIO D_INT D_UART +D2 D_GPIO D_INT +D3 D_GPIO D_INT D_PWM0 D_TIMER Timer0 IC Timer0 +D4 D_GPIO D_INT D_TIMER Timer0_6 +D5 D_GPIO D_INT D_PWM1 D_TIMER Timer1 IC Timer1 +D6 D_GPIO D_INT D_PWM2 D_TIMER Timer2 IC Timer2 +D7 D_GPIO D_INT +D8 D_GPIO D_INT D_TIMER Timer1_7 Input Capture +D9 D_GPIO D_INT D_PWM3 D_TIMER Timer3 IC Timer3 +D10 D_GPIO D_INT D_PWM4 D_TIMER Timer4 D_SS IC Timer4 +D11 D_GPIO D_INT D_PWM5 D_TIMER Timer5 D_MOSI IC Timer5 +D12 D_GPIO D_INT D_MISO +D13 D_GPIO D_INT D_SPICLK + +=== ====== ===== ========= ====== ====== ================ ======== ==== ============= + +For example, to connect the UART to D0 and D1, write D_UART to the configuration register for D0 and D1. + +.. code-block:: c + + config_arduino_switch(A_GPIO, A_GPIO, A_GPIO, A_GPIO, A_GPIO, A_GPIO, + D_UART, D_UART, D_GPIO, D_GPIO, D_GPIO, + D_GPIO, D_GPIO, D_GPIO, D_GPIO, + D_GPIO, D_GPIO, D_GPIO, D_GPIO); + + +IOP Application Example +========================== + + +Taking Pmod ALS as an example IOP driver (used to control the PMOD light sensor): + +``/Pynq-Z1/sdk/pmod_als/src/pmod_als.c`` + + +First note that the ``pmod.h`` header file is included. + +.. code-block:: c + + #include "pmod.h" + +Some *COMMANDS* are defined. These values can be chosen to be any value. The corresponding Python code will send the appropriate command values to control the IOP application. + +By convention, 0x0 is reserved for no command/idle/acknowledge, and IOP commands can be any non-zero value. + + +.. code-block:: c + + // MAILBOX_WRITE_CMD + #define READ_SINGLE_VALUE 0x3 + #define READ_AND_LOG 0x7 + // Log constants + #define LOG_BASE_ADDRESS (MAILBOX_DATA_PTR(4)) + #define LOG_ITEM_SIZE sizeof(u32) + #define LOG_CAPACITY (4000/LOG_ITEM_SIZE) + + +The ALS peripheral has as SPI interface. The user defined function get_sample() calls an SPI function *spi_transfer()*, defined in pmod.h, to read data from the device. + + +.. code-block:: c + + u32 get_sample(){ + /* + ALS data is 8-bit in the middle of 16-bit stream. + Two bytes need to be read, and data extracted. + */ + u8 raw_data[2]; + spi_transfer(SPI_BASEADDR, 2, raw_data, NULL); + // return ( ((raw_data[0] & 0xf0) >> 4) + ((raw_data[1] & 0x0f) << 4) ); + return ( ((raw_data[1] & 0xf0) >> 4) + ((raw_data[0] & 0x0f) << 4) ); + } + +In ``main()`` notice ``config_pmod_switch()`` is called to initialize the switch with a static configuration. This application does not allow the switch configuration to be modified from Python. This means that if you want to use this code with a different pin configuration, the C code must be modified and recompiled. + +.. code-block:: c + + int main(void) + { + int cmd; + u16 als_data; + u32 delay; + + pmod_init(0,1); + config_pmod_switch(SS, GPIO_1, MISO, SPICLK, \ + GPIO_4, GPIO_5, GPIO_6, GPIO_7); + // to initialize the device + get_sample(); + + +Next, the ``while(1)`` loop continually checks the ``MAILBOX_CMD_ADDR`` for a non-zero command. Once a command is received from Python, the command is decoded, and executed. + +.. code-block:: c + + // Run application + while(1){ + + // wait and store valid command + while((MAILBOX_CMD_ADDR & 0x01)==0); + cmd = MAILBOX_CMD_ADDR; + + +Taking the first case, reading a single value; ``get_sample()`` is called and a value returned to the first position (0) of the ``MAILBOX_DATA``. + +``MAILBOX_CMD_ADDR`` is reset to zero to acknowledge to the ARM processor that the operation is complete and data is available in the mailbox. + + +.. code-block:: c + + switch(cmd){ + case READ_SINGLE_VALUE: + // write out reading, reset mailbox + MAILBOX_DATA(0) = get_sample(); + MAILBOX_CMD_ADDR = 0x0; + break; + +Remaining code: + + .. code-block:: c + + case READ_AND_LOG: + // initialize logging variables, reset cmd + cb_init(&pmod_log, LOG_BASE_ADDRESS, LOG_CAPACITY, LOG_ITEM_SIZE); + delay = MAILBOX_DATA(1); + MAILBOX_CMD_ADDR = 0x0; + + do{ + als_data = get_sample(); + cb_push_back(&pmod_log, &als_data); + delay_ms(delay); + } while((MAILBOX_CMD_ADDR & 0x1)== 0); + + break; + + default: + // reset command + MAILBOX_CMD_ADDR = 0x0; + break; + } + } + return(0); + } + + + +Examining the Python Code +-------------------------- + +With the IOP Driver written, the Python class can be built that will communicate with that IOP. + +``/python/pynq/iop/pmod_als.py`` + +First the MMIO, request_iop, iop_const, PMODA and PMODB are imported. + +.. code-block:: python + + import time + from pynq import MMIO + from pynq.iop import request_iop + from pynq.iop import iop_const + from pynq.iop import PMODA + from pynq.iop import PMODB + + ALS_PROGRAM = "pmod_als.bin" + +The MicroBlaze binary for the IOP is also declared. This is the application executable, and will be loaded into the IOP instruction memory. + +The ALS class and an initialization method are defined: + +.. code-block:: python + + class Pmod_ALS(object): + def __init__(self, if_id): + +The initialization function for the module requires an IOP index. For Grove peripherals and the StickIt connector, the StickIt port number can also be used for initialization. The ``__init__`` is called when a module is instantiated. e.g. from Python: + +.. code-block:: python + + from pynq.pmods import Pmod_ALS + als = Pmod_ALS(PMODB) + +Looking further into the initialization method, the ``_iop.request_iop()`` call instantiates an instance of an IOP on the specified pmod_id and loads the MicroBlaze executable (ALS_PROGRAM) into the instruction memory of the appropriate MicroBlaze. + +.. code-block:: python + + self.iop = request_iop(if_id, PMOD_ALS_PROGRAM) + +An MMIO class is also instantiated to enable read and write to the shared memory. + +.. code-block:: python + + self.mmio = self.iop.mmio + +Finally, the iop.start() call pulls the IOP out of reset. After this, the IOP will be running the als.bin executable. + +.. code-block:: python + + self.iop.start() + +Example of Python Class Runtime Methods +------------------------------------------- + +The read method in the Pmod_ALS class will simply read an ALS sample and return that value to the caller. The following steps demonstrate a Python to MicroBlaze read transaction specific to the ALS class. + +.. code-block:: python + + def read(self): + +First, the command is written to the MicroBlaze shared memory using mmio.write(). In this case the value 0x3 represents a read command. This value is user defined in the Python code, and must match the value the C program running on the IOP expects for the same function. + +.. code-block:: python + + self.mmio.write(iop_const.MAILBOX_OFFSET+ + iop_const.MAILBOX_PY2IOP_CMD_OFFSET, 3) + +When the IOP is finished, it will write 0x0 to the command area. The Python code now uses mmio.read() to check if the command is still pending (in this case, when the 0x3 value is still present at the ``CMD_OFFSET``). While the command is pending, the Python class blocks. + +.. code-block:: python + + while (self.mmio.read(iop_const.MAILBOX_OFFSET+ + iop_const.MAILBOX_PY2IOP_CMD_OFFSET) == 3): + pass + +Once the command is no longer 0x3, i.e. the acknowledge has been received, the result is read from the ``DATA`` area of the shared memory ``MAILBOX_OFFSET`` using `mmio.read()`. + +.. code-block:: python + + return self.mmio.read(iop_const.MAILBOX_OFFSET) + +Notice the iop_const values are used in these function calls, values that are predefined in ``iop_const.py``. diff --git a/docs/source/13a_interrupts.rst b/docs/source/13a_interrupts.rst new file mode 100644 index 0000000000..4ca2ccd6b2 --- /dev/null +++ b/docs/source/13a_interrupts.rst @@ -0,0 +1,261 @@ +******************************************** +Interrupts +******************************************** + +.. contents:: Table of Contents + :depth: 2 + +Introduction +========================================= +Each IOP has its only interrupt controller. This allows IOP peripherals (IIC, SPI, GPIO, Uart, Timers) to interrupt the MicroBlaze processor inside the IOP. The IOP uses the `AXI Interrupt Controller `_. It can be used in an IOP application in the same way as any other MicroBlaze application to manage this local interrupts. + +The base overlay also has a interrupt controller connected to the interrupt pin of the Zynq PS. The overlay interrupt controller can be triggered by the MicroBlaze inside an IOP to signal to the PS and Python that an interrupt has occurred in the overlay. + +.. image:: ./images/pynqz1_base_overlay_intc_pin.png + :align: center + +Interrupts in PYNQ can be handled in different ways. The *asyncio* Python package is one method of handling interrupts. Asyncio was first introduced in Python 3.4 as provisional, and starting in Python 3.6 is considered stable. `Python 3.6 documentation on asyncio `_. + + +This PYNQ release used Python 3.6 and includes the latest asyncio package. + +The main advantage of using asyncio over other interrupt handling methods, is that it makes the interrupt handler look similar to regular Python code. This helps reduce the complexity of managing interrupts using callbacks. + +It should be noted that Python is a productivity language rather than a performance language. Any performance critical, or real-time parts of a design should be handled in the PL. An interrupt sent to the PS may have a relatively long latency before it is handled. + + +Asyncio +========= + +Background terminology +--------------------------- + +Asyncio includes the following components: + +Event loop +^^^^^^^^^^^^^ + +An event loop is a loop for scheduling multiple asynchronous functions. When an event loop runs, and the first IO function is reached, the function pauses waiting for its IO to complete. While the function is waiting, the loop continues, executing subsequent functions in the same way. When a function completes its IO, it can resume at the next scheduled point in the event loop. + + +.. code-block:: Python + + loop = asyncio.get_event_loop() + +https://docs.python.org/3/library/asyncio-eventloop.html + +Futures +^^^^^^^^^^^^^ + +A future is an object that will have a value in the future. The event loop can wait for a *Future* object to be set to done. i.e. data available. + +.. code-block:: Python + + asyncio.ensure_future(async_coroutine(5)), + +https://docs.python.org/3/library/asyncio-task.html#future + +Coroutines +^^^^^^^^^^^^^ + +A coroutine is a function that can pause, that can receive values, and can return a series of value periodically. A coroutine is a functions decorated with ``async def`` (Python 3.6). + +.. code-block:: Python + + async def function(): + ... + + +https://docs.python.org/3/library/asyncio-task.html#coroutines + +Tasks +^^^^^^^^^^^^^ + +A task is a coroutine wrapped inside a Future. A task runs as long as the event loop runs. + +.. code-block:: Python + + asyncio.ensure_future(async_coroutine()) + +https://docs.python.org/3/library/asyncio-task.html#task + +await +^^^^^^^^^^^^^ + +The ``await`` expression is used to obtain a result from a coroutine + +.. code-block:: Python + + async def asyncio_function(db): + data = await read() + ... + + +Example +------------------------- + +An event loop registers a task object. The loop will schedule and run the task. +Callbacks can be added to the task to notify when a future has a result. + +When the coroutine in a task *awaits* it is paused. When it has a value, it resumes. When it returns, the task completes, and the future gets a value. Any associated callback is run. + + +.. code-block:: Python + + + async def async_coroutine(max): + for i in range (1,max): + await asyncio.sleep(1) + print(i) + + print("Done") + + loop = asyncio.get_event_loop() + tasks = [ + asyncio.ensure_future(async_coroutine(5)), + asyncio.ensure_future(async_coroutine(20)), + asyncio.ensure_future(async_coroutine(10)), + asyncio.ensure_future(async_coroutine(1))] + loop.run_until_complete(asyncio.gather(*tasks)) + loop.close() + + +Asyncio requirements +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +All blocking calls in event loop should be replaced with coroutines. If you do not do this, when a blocking call is reached, it will block the rest of the loop. + +If you need blocking calls, they should be in separate threads. + +Compute workloads should be in separate threads/processes. + +Interrupts in PYNQ using asyncio +================================== + +Asyncio can be used for managing interrupt events from the overlay. A coroutine can be run in an event loop and used to check the status of the interrupt controller in the overlay, and handle any event. Other user functions can also be run in the event loop. If an interrupt is triggered, the next time the "interrupt" coroutine is scheduled, it will service the interrupt. The responsiveness of the interrupt coroutine will depend on how frequently the user code yields control in the loop. + +Interrupts in the Base Overlay +------------------------------ + +The I/O peripherals in the base overlay will trigger interrupts when switches are toggled or buttons are pressed. Both the *Button* and *Switch* classes have a function ``wait_for_level`` and a coroutine ``wait_for_level_async`` which block until the corresponding button or switch has the specified value. This follows a convention throughout the PYNQ python API that that coroutines have an ``_async`` suffix. + +As an example, consider an application where each LED will light up when the corresponding button is pressed. First a coroutine specifying this functionality is defined: + +.. code-block:: Python + + async def button_to_led(number): + button = pynq.board.Button(number) + led = pynq.board.LED(number) + while True: + await button.wait_for_level_async(1) + led.on() + await button.wait_for_level_async(0) + led.off() + +Next add instances of the coroutine to the default event loop + +.. code-block:: Python + + tasks = [asyncio.ensure_future(button_to_led(i) for i in range(4)] + +Finally, running the event loop will cause the coroutines to be active. This code runs the event loop until an exception is thrown or the user interrupts the process. + +.. code-block:: Python + + asyncio.get_event_loop().run_forever() + + +IOP and Interrupts +------------------------------ + +The IOP class has an ``interrupt`` member variable which acts like an *asyncio.Event* with a ``wait`` coroutine and a ``clear`` method. This event is automatically wired to the correct interrupt pin or set to ``None`` if interrupts are not available in the loaded overlay. + +e.g. + +.. code-block:: Python + + def __init__(self) + self.iop = request_iop(iop_id, IOP_EXECUTABLE) + if self.iop.interrupt is None: + warn("Interrupts not available in this Overlay") + +There are two options for running functions from this new IOP wrapper class. The function can be called from an external asyncio event loop (set up elsewhere), or the function can set up its own event loop and then call its asyncio function from the event loop. + +Async function +---------------------- + +By convention, the PYNQ python API offers both an asyncio coroutine and a blocking function call for all interrupt-driven functions. It is recommended that this should be extended to any user-provided IOP drivers. The blocking function can be used where there is no need to work with asyncio, or as a convenience function to run the event loop until a specified condition. The coroutine is given the ``_async`` suffix to avoid breaking backwards compatibility when updating existing functions. + +The following code defines an asyncio coroutine. Notice the ``async`` and ``await`` keywords are the only additional code needed to make this function an asyncio coroutine. + +.. code-block:: Python + + async def interrupt_handler_async(self, value): + if self.iop.interrupt is None: + raise RuntimeError('Interrupts not available in this Overlay') + while(1): + await self.iop.interrupt.wait() # Wait for interrupt + # Do something when an interrupt is received + self.iop.interrupt.clear() + +Function with event loop +--------------------------- + +The following code wraps the asyncio coroutine, adding to the default event loop and running it until the coroutine completes. + +.. code-block:: Python + + def interrupt_handler(self): + + if self.interrupt is None: + raise RuntimeError('Interrupts not available in this Overlay') + loop = asyncio.get_event_loop() + loop.run_until_complete(asyncio.ensure_future( + self.interrupt_handler_async() + )) + +Custom interrupt handling +--------------------------- + +The Python *Interrupt* class can be found here: + +.. code-block:: console + + \pynq\interrupt.py + +This class abstracts away management of the AXI interrupt controller in the PL. It is not necessary to examine this code in detail to use interrupts. The interrupt class takes the pin name of the interrupt line and offers a single ``wait`` coroutine. The interrupt is only enabled in the hardware for as long as a coroutine is waiting on an *Interrupt* object. The general pattern for using an Interrupt is as follows: + +.. code-block:: Python + + while condition: + await interrupt.wait() + # Clear interrupt + +This pattern avoids race conditions between the interrupt and the controller and ensures that an interrupt isn't seen multiple times. + +Interrupt pin mappings +========================= + +Interrupts are also available from the GPIO (Pushbuttons, Switches, Video, Trace buffer Arduino, Trace buffer Pmods). + +=============== ========== ===================================== +Name IOP ID Pin +=============== ========== ===================================== +PMODA 1 iop1/dff_en_reset_0/q +PMODB 2 iop2/dff_en_reset_0/q +ARDUINO 3 iop3/dff_en_reset_0/q +Buttons btns_gpio/ip2intc_irpt +Switches swsleds_gpio/ip2intc_irpt +Video video/dout +Trace(Pmod) tracepmods_arduino/s2mm_introut +Trace(Arduino) tracebuffer_arduino/s2mm_introut +=============== ========== ===================================== + + +Interrupt examples using asyncio +=================================== + +Example notebooks +----------------- + +The `asyncio_buttons.ipynb `_ notebook can be found in the examples directory. The Arduino LCD IOP driver provides an example of using the IOP interrupts. diff --git a/docs/source/13b_base_overlay_interrupts.rst b/docs/source/13b_base_overlay_interrupts.rst new file mode 100644 index 0000000000..1d0f28cb8a --- /dev/null +++ b/docs/source/13b_base_overlay_interrupts.rst @@ -0,0 +1,17 @@ +******************************************** +Placeholder for Interrupts notebook +******************************************** + +Interrupts using the base overlay + +How to write Python to handle interrupts +=========================================== + +Example +^^^^^^^^^^^^^ + +How to design an overlay with interrupts +=========================================== + +Example +^^^^^^^^^^^^^ diff --git a/docs/source/14_tracebuffer.rst b/docs/source/14_tracebuffer.rst new file mode 100644 index 0000000000..77d2345d8d --- /dev/null +++ b/docs/source/14_tracebuffer.rst @@ -0,0 +1,109 @@ +******************************* +Trace buffer +******************************* + +.. contents:: Table of Contents + :depth: 2 + +Introduction +================== + +On-chip debug allows FPGA resources to be used to monitor internal or external signals in a design for debug. The debug circuitry taps into signals in a design under test, and saves the signal data as the system is operating. The debug data is saved to on-chip memory, and can be read out later for offline debug and analysis. One of the limitations of traditional on-chip debug is that amount of local memory usually available on chip is relatively small. This means only a limited amount of debug data can be captured (typically a few Kilobytes). + +The on-chip debug concept has been extended to allow trace debug data to be saved to DDR memory. This allows more debug data to be captured. The data can then be analyzed using Python. + +Trace buffer +================== +A trace buffer is included in the base overlay. It is connected to the pin connections of the Pmod ports and the Arduino ports. This allows it to monitor the signals to and from the FPGA pins. The trace buffer has a connection to DDR memory where captured data will be stored. + + +8MB of DDR memory is available for the trace buffer. The DDR memory is allocated from the kernel, and is fixed when the kernel is compiled. + +Trace IOBs +---------------------- + +The tracebuffer monitors the external PL Input/Output Blocks (IOBs) on the PMod and Arduino interfaces. The IOBs are tri-state. This means three internal signals are associated with each pin; an input (I), and output (O) and a tri-state signal (T). The Tri-state signal controls whether the pin is being used as a input or output. + +The trace buffer is connected to all 3 signals for each IOP (Pmod and Arduino). + +.. image:: ./images/trace_buffer.jpg + :align: center + +This allows the trace buffer to read the tri-state, determine if the IOB is in input, or output mode, and read the appropriate trace data. + +Supported protocols +--------------------- + +The trace buffer uses the `sigrok Python package `_. It can recognise different bus protocols and highlight and format the data appropriately. + +Currently supported protocols are ``I2C`` and ``SPI``. + +Tracebuffer operation +====================== + +The trace buffer is instantiated with the interface, pins to monitor and labels, the data protocol, and sample rate defined. + +When triggered or started, the trace buffer captures all data on the interface port. + +The data can then be formatted based on the specified protocol and displayed in a notebook. + +Tracebuffer example +====================== + +To use the trace buffer, instantiate the trace buffer class, specifying the interface it is connected to, the pins to monitor, the protocol, and the sample rate. + +.. code-block:: Python + + from pynq.drivers import Trace_Buffer + tr_buf = Trace_Buffer(PMODA,pins=[2,3],probes=['SCL','SDA'], + protocol="i2c",rate=1000000) + +The tracebuffer runs at 166MHz. The sample rate is the number of samples stored out of every sample captured. E.g. rate = 1 will store samples at 166 Msps. rate = 2 will store samples at 83 Msps etc. + +.. code-block :: console + + Samples captured = 166 MHz/rate + + +Once you are ready to start collecting data, start the trace buffer. + +.. code-block:: Python + + # Start the trace buffer + tr_buf.start() + +Once you are finished collecting data, stop the trace buffer. + +.. code-block:: Python + + # Stop the trace buffer + tr_buf.stop() + + +The data is first parsed into a .csv file. The start and stop positions are provided to select the region of interest. The .csv file is then decoded into a .pd file + +.. code-block:: Python + + # Set up samples + start = 500 + stop = 3500 + + # Parsing and decoding samples + tr_buf.parse("i2c_trace.csv",start,stop) + tr_buf.decode("i2c_trace.pd") + +The first sample is stored in location 1, so the starting sample to display must be equal to 1 or more. The end sample to display must be less than the total number of samples collected. + + +The data can be displayed in a notebook. This is done using the Python WaveDrom package. + +.. code-block:: Python + + tr_buf.display() + + +Example notebooks +====================== + +There are two notebooks available in the example notebooks directory in the Jupyter home area showing how to use the trace buffer; `trace buffer_i2c.ipynb `_ and `trace buffer_spi.ipynb `_. One shows an IIC example, and the other shows a SPI example. + diff --git a/docs/source/15_data_transfer.rst b/docs/source/15_data_transfer.rst new file mode 100644 index 0000000000..7199c167cc --- /dev/null +++ b/docs/source/15_data_transfer.rst @@ -0,0 +1,91 @@ +******************************* +Data Transfer +******************************* + +.. contents:: Table of Contents + :depth: 2 + +Introduction +================== + +Data can be transferred from pynq to an overlay in two main ways. The python ``MMIO`` *Memory Mapped Input/Output*, and ``xlnk`` classes in the pynq package can be used for simple and streamed data transfer. + +MMIO +====== +MMIO can be used read/write a single memory mapped location in an overlay. MMIO is most appropriate for reading and small amounts of data. Each MMIO read or write command can transfer 32 bits of data. + +The following examples sets up the MMIO to access memory location 0x40000000 - 0x40001000. + +Some *data* (0xdeadbeef) is sent to location ADDRESS_OFFSET (0x10). ADDRESS_OFFSET is offset from the start of the MMIO area (0x40000000). This means 0xdeadbeef will be written to 0x40000010. + +The same location is then read and stored in *result*. + +.. code-block:: Python + + ACCELERATOR_ADDRESS 0x40000000 + MEMORY_SIZE = 0x1000 + ADDRESS_OFFSET = 0x10 + + from pynq import MMIO + mmio = MMIO(ACCELERATOR_ADDRESS,MEMORY_SIZE) + + data = 0xdeadbeef + self.mmio.write(ADDRESS_OFFSET, data) + result = self.mmio.read(ADDRESS_OFFSET) + +This example assumes the memory mapped area defined for the MMIO, 0x40000000 - 0x40001000, is accessible to the PS. + +xlnk +============= + +``xlnk`` can be used to control a DMA in the overlay. + +To transfer data from a DMA to a location in an overlay, a memory buffer needs to be allocated in the main DDR memory. xlnk can be used to allocate a contiguous memory buffer. + +Once the buffer has been allocated, any data to be sent to the overlay can be written to the buffer from Python. When the data is ready to be sent, xlnk can start the DMA memory transfer. + +The DMA can also be used to transfer data from an overlay to the DDR memory buffer. + +xlnk basic example +------------------- + +.. code-block:: Python + + MEMORY_SIZE = 0x1000 + + from pynq import Xlnk + mmu = Xlnk() + + bufptr = mmu.cma_alloc(MEMORY_SIZE) + phy_addr = mmu.cma_get_phy_addr(buf_ptr) + + + for i in range(MEMORY_SIZE): + bufptr[i] = i + + +Data can be written to the buffer, and the physical address can be sent to a block in the accelerator (for example and IOP) which could then access the buffer from DDR memory. + + +xlnx DMA example +----------------- + +This example assumes the overlay contains the `AXI Direct Memory Access (7.1) `_ IP. This IP can be used to connect to AXI streams in an overlay. + +.. code-block:: Python + + MEMORY_SIZE = 0x1000 + OVERLAY_MEMORY_LOCATION = 0x40000000 + + from pynq import Xlnk + mmu = Xlnk() + + ps_bufptr = mmu.cma_alloc(MEMORY_SIZE) + overlay_bufptr = mmu.cma_alloc(MEMORY_SIZE) + + for i in range(MEMORY_SIZE): + ps_bufptr[i] = i + + mmu.cma_memcopy(overlay_bufptr,ps_bufptr,MEMORY_SIZE) + + diff --git a/docs/source/10_creating_overlays.rst b/docs/source/16_creating_overlays.rst old mode 100755 new mode 100644 similarity index 93% rename from docs/source/10_creating_overlays.rst rename to docs/source/16_creating_overlays.rst index 1af9bac981..516f8f0695 --- a/docs/source/10_creating_overlays.rst +++ b/docs/source/16_creating_overlays.rst @@ -5,17 +5,16 @@ Creating Overlays .. contents:: Table of Contents :depth: 2 - Introduction ============= As described in the PYNQ introduction, overlays are analogous to software libraries. A programmer can download overlays into the Zynq® PL at runtime to provide functionality required by the software application. -An Overlay is a class of Programmable Logic design. Programmable Logic designs are usually highly optimized for a specific task. Overlays however, are designed to be configurable, and reusable for broad set of applications. A PYNQ overlay will have a Python interface, allowing a software programmer to use it like any other Python package. +An *overlay* is a class of Programmable Logic design. Programmable Logic designs are usually highly optimized for a specific task. Overlays however, are designed to be configurable, and reusable for broad set of applications. A PYNQ overlay will have a Python interface, allowing a software programmer to use it like any other Python package. -A programmer can use an overlay, but will not usually create the overlays, as this is a specialised task for a hardware designer. +A software programmer can use an overlay, but will not usually create overlay, as this usually requires a high degree of hardware design expertise. -This section will give an overview of the process of creating an overlay and integrating it into PYNQ, but will not cover the hardware design process in detail. +This section will give an overview of the process of creating an overlay and integrating it into PYNQ, but will not cover the hardware design process in detail. Hardware design will be familiar to Zynq, and FPGA hardware developers. Vivado design @@ -25,7 +24,7 @@ An overlay consists of two main parts; the Programmable Logic (PL) design, and t Xilinx® Vivado software is used to create the PL design. This will generate a *bitstream* or *binary* file (.bit file) that is used to program the Zynq PL. -The free webpack version of Vivado can be used with the PYNQ-Z1 board to create overlays. +The free WebPack version of Vivado can be used with the PYNQ-Z1 board to create overlays. https://www.xilinx.com/products/design-tools/vivado/vivado-webpack.html There are some differences between the standard Zynq design process, and designing overlays for PYNQ. A Vivado project for a Zynq design consists of two parts; the PL design, and the PS configuration settings. The PS configuration includes settings for system clocks, including the clocks used in the PL. @@ -99,14 +98,14 @@ Each entry in this IP dictionary that is returned is a key-value pair. E.g.: -``'SEG_mb_bram_ctrl_1_Mem0': ['0x40000000', '0x10000', None]`` +``'SEG_axi_dma_0_Reg': [2151677952, 65536, None],`` Note, this parses the tcl file that was exported with the bitstream. It does not do check the overlay currently running in the PL. The key of the entry is the IP instance name; all the IP instance names are parsed from the `*.tcl` file (e.g. `base.tcl`) in the address segment section. The value of the entry is a list of 3 items: - - The first item shows the base address of the addressable IP (hex). - - The second item shows the address range in bytes (hex). + - The first item shows the base address of the addressable IP (as an int). + - The second item shows the address range in bytes (as an int). - The third item records the state associated with the IP. It is `None` by default, but can be user defined. @@ -132,7 +131,7 @@ A makefile exists in each folder that can be used to rebuild the Vivado project Vivado must be installed to design and build overlays. Building an existing overlay design allows the project to be opened in Vivado and examined, or modified to create a new overlay. .. image:: ./images/vivado_base_overlay.JPG - :scale: 50% + :scale: 75% :align: center diff --git a/docs/source/11_python_package.rst b/docs/source/17_python_package.rst old mode 100755 new mode 100644 similarity index 86% rename from docs/source/11_python_package.rst rename to docs/source/17_python_package.rst index 2ced647d0e..816541907e --- a/docs/source/11_python_package.rst +++ b/docs/source/17_python_package.rst @@ -2,14 +2,17 @@ ``pynq`` Package ********************* +.. contents:: Table of Contents + :depth: 2 + This section describes the ``pynq`` package for the PYNQ-Z1 platform. After powering the board with the Micro SD card in place, the board will boot into Linux. Python3 is installed with Jupyter Notebook support. The Python package `pynq` allows users to access overlays from Python. -Some preinstalled features of this Linux image include: +Some pre-installed features of this Linux image include: * Networking is enabled, and the board will attempt to get an IP address from a DHCP server on the network. If a DHCP server is not found, the board will fallback and assign itself a static IP of 192.168.2.99 by default. This default IP address can be changed. -* Samba, a file sharing service, is enabled. This means that the linux home area can be accessed from a Windows machine by navigating to or mapping ``\\pynq\xilinx`` (Windows) or ``smb:pynq/xilinx`` (Mac/Linux) . The samba ``username:password`` is ``xilinx:xilinx``. Files can be copied to and from the board, and the Pynq source code, and notebooks can be accessed and modified using your preferred editors on your host PC. +* Samba, a file sharing service, is enabled. This means that the Linux home area can be accessed from a Windows machine by navigating to or mapping ``\\pynq\xilinx`` (Windows) or ``smb:pynq/xilinx`` (Mac/Linux) . The samba ``username:password`` is ``xilinx:xilinx``. Files can be copied to and from the board, and the Pynq source code, and notebooks can be accessed and modified using your preferred editors on your host PC. * A Jupyter Notebook server is initialized on port 9090 and automatically starts after boot. * The base overlay is preloaded in the FPGA fabric. @@ -37,9 +40,7 @@ This folder contains libraries or python packages for peripherals available on t iop ===== -This folder contains libraries for the following Pmod devices ``Pmod_ADC``, ``Pmod_ALS``, ``Pmod_DAC``, `Pmod_DPOT``, ``Pmod_LED8``, ``Pmod_OLED``, ``Pmod_PWM``, ``Pmod_TIMER``, and ``Pmod_TMP2``. - -The following Grove peripherals are also supported: ``Grove ADC``, ``Grove Buzzer``, ``Grove IMU``, ``Grove LED bar``, ``Grove Light Sensor``, ``Grove OLED``, ``Grove PIR``, ``Grove Temperature Sensor``. +This folder contains libraries for Pmod devices and Grove peripherals. ``Arduino_Analog``, and ``Arduino_IO`` are provided for interfacing to the arduino interface. @@ -68,7 +69,7 @@ For example, the following code will instantiate and write to the Pmod_OLED atta bitstream =========== -This folder contains the base.bit and the base.tcl. The base.bit is the precompiled overlay and base.tcl provides the information of the hardware it is built from. +This folder contains the base.bit and the base.tcl. The base.bit is the precompiled overlay and base.tcl provides information about the hardware it is built from. The tcl file can be parsed by Pynq packages to determine information about the hardware. ``PL.ip_dict`` will parse the tcl for an overlay and respond with the addresses of any peripherals in the overlay. drivers @@ -80,7 +81,7 @@ This folder contains various classes to support audio, video, DMA, and Trace_Buf tests ====== -This folder includes a tests package for use with all other pynq subpackages. All testing is done using `pytest `_. Please see `The Verification Section <12_verification.html>`_ to learn more about Pynq's use of pytest to do automated testing. +This folder includes a tests package for use with all other pynq subpackages. All testing is done using `pytest `_. Please see `The Verification Section <18_verification.html>`_ to learn more about Pynq's use of pytest to do automated testing. .. note:: The ``tests`` folders in ``board``, ``iop``, ``drivers``, and others rely on the functions implemented in the ``test`` folders of the pynq package. This common practice in Python where each subpackage has its own ``tests``. This practice can keep the source code modular and *self-contained*. diff --git a/docs/source/18_changelog.rst b/docs/source/18_changelog.rst deleted file mode 100644 index 2a66eb2f79..0000000000 --- a/docs/source/18_changelog.rst +++ /dev/null @@ -1,28 +0,0 @@ -************************ -Documentation Changelog -************************ - -.. contents:: Table of Contents - :depth: 2 - - -Version 1.01 -================= - -16 Dec 2016 - -* Added new iop modules to docs - * Arduino Grove Color - * Arduino Grove DLight - * Arduino Grove Ear HR - * Arduino Grove Finger HR - * Arduino Grove Haptic motor - * Arduino Grove TH02 - * Pmod Color - * Pmod DLight - * Pmod Ear HR - * Pmod Finger HR - * Pmod Haptic motor - * Pmod TH02 -* Added USB WiFI driver - \ No newline at end of file diff --git a/docs/source/12_verification.rst b/docs/source/18_verification.rst old mode 100755 new mode 100644 similarity index 87% rename from docs/source/12_verification.rst rename to docs/source/18_verification.rst index cdacd02629..3e2493fd31 --- a/docs/source/12_verification.rst +++ b/docs/source/18_verification.rst @@ -2,7 +2,6 @@ Verification ************ - .. contents:: Table of Contents :depth: 2 @@ -27,10 +26,11 @@ To run all the tests together, pytest can be run in a Linux terminal on the boar .. code-block:: console - cd /usr/local/lib/python3.4/dist-packages/pynq + cd /home/xilinx/pynq sudo py.test –vsrw -For a complete list of pytest options, please refer to `Usage and Invocations - Pytest `_. + +For a complete list of pytest options, please refer to `Usage and Invocations - Pytest `_. Collection Phase ---------------- @@ -40,12 +40,12 @@ For example: .. code-block:: console - Is LED8 attached to the board? ([yes]/no)>>> yes - Type in the Pmod ID of the LED8 (1 ~ 2): + Pmod OLED attached to the board? ([yes]/no)>>> yes + Type in the interface ID of the Pmod OLED (A or B): For the answer to the first question, "yes", "YES", "Yes", "y", and "Y" are acceptable; the same applies for "no" as an answer. You can also press *Enter*; this is equivalent to "yes". -Type 1 (for PMODA) or 2 (for PMODB). +Type "A" (for PMODA) or "B" (for PMODB). Answering "No" will skip the corresponding test(s) during the testing phase. @@ -64,7 +64,7 @@ At the end of the testing phase, a summary will be given to show users how many Writing Tests ============= -This section follows the guide available on `Pytest Usages and Examples `_. You can write a test class with assertions on inputs and outputs to allow automatic testing. The names of the test modules *must* start with `test_`; all the methods for tests in any test module *must* also begin with `test_`. One reason to enforce this is to ensure the tests will be collected properly. See the `Full pytest documentation `_ for more details. +This section follows the guide available on `Pytest Usages and Examples `_. You can write a test class with assertions on inputs and outputs to allow automatic testing. The names of the test modules *must* start with `test_`; all the methods for tests in any test module *must* also begin with `test_`. One reason to enforce this is to ensure the tests will be collected properly. See the `Full pytest documentation `_ for more details. Step 1 ------ @@ -76,7 +76,7 @@ First of all, the pytest package has to be imported: Step 2 ------ -Decorators can be specified directly above the methods. For example, you can specify (1) the order of this test in the entire pytest process, and (2) the condition to skip the corresponding test. More information on decorators can be found in `Marking test functions with attributes - Pytest `_. +Decorators can be specified directly above the methods. For example, you can specify (1) the order of this test in the entire pytest process, and (2) the condition to skip the corresponding test. More information on decorators can be found in `Marking test functions with attributes - Pytest `_. .. code-block:: python diff --git a/docs/source/1_getting_started.rst b/docs/source/1_getting_started.rst index a3c4b86fda..44a9ed50e2 100644 --- a/docs/source/1_getting_started.rst +++ b/docs/source/1_getting_started.rst @@ -42,12 +42,12 @@ Preloaded Micro SD cards are available from Digilent. If you already have a Micr To make your own PYNQ Micro-SD card: - * `Download and the PYNQ-Z1 image `_ and unzip + * `Download and the PYNQ-Z1 image `_ and unzip * Write the image to a blank Micro SD card (minimum 8GB recommended) * Windows: Use `win32DiskImager `_ * Linux/MacOS: Use the built in *dd* command\* -\* For detailed instructions for writing the SD card using different operating systems, see the `Appendix: Writing the SD card image <17_appendix.rst#writing-the-sd-card-image>`_. +\* For detailed instructions for writing the SD card using different operating systems, see the `Appendix: Writing the SD card image `_. Setup the PYNQ-Z1 =================== @@ -59,7 +59,7 @@ Setup the PYNQ-Z1 1. Set the *boot* jumper (labelled JP4 on the board) to the **SD** position by placing the jumper over the top two pins of JP4 as shown in the image. (This sets the board to boot from the Micro-SD card) -2. To power the PYNQ-Z1 from the micro USB cable, set the *power* jumper (JP5) to the **USB** position by placing the jumper over the top two pins of JP5 as shown in the image. (Set the jumper to **REG** to use an external power regulator) +2. To power the PYNQ-Z1 from the micro USB cable, set the *power* jumper (JP5) to the **USB** position by placing the jumper over the top two pins of JP5 as shown in the image. (You can also power the board from an external 12V power regulator by setting the jumper to **REG**.) 3. Insert the **Micro SD** card loaded with the PYNQ-Z1 image into the board. (The Micro SD slot is underneath the board) @@ -92,13 +92,13 @@ If you connect to a network with a DHCP server, your board will automatically ge +---------------------------------------------------------------------+ | 2. Browse to http://pynq:9090 | +---------------------------------------------------------------------+ -| 3. Optional: Change hostname (if more than one board on network)\* | +| 3. Optional: Change hostname | +---------------------------------------------------------------------+ -| 4. Optional: Configure proxy\* | +| 4. Optional: Configure proxy | +---------------------------------------------------------------------+ -\* This can be done after the board is powered on. See below for instructions - +Hostname +^^^^^^^^^ The default hostname is ``pynq``. If there is another device on the network with this hostname, you will need to change the hostname of your board **before** you connect it to the network. If you are not sure if there are other boards on the network, you should check if the *pynq* hostname is already in use before connecting a new board. One way to check this is by pinging *pynq* from a command prompt: @@ -116,7 +116,7 @@ You can also use the terminal to configure proxy settings, or to configure any o Connect directly to your computer --------------------------------------- -You will need to have an Ethernet port available on your computer, and you will need to have permimssions to configure your network interface. With a direct connection, you will be able to use PYNQ, but unless you can bridge the Ethernet connection to the board to an Internet connection on your computer, your board will not have Internet access. You will be unable to update or load new packages without Internet access. +You will need to have an Ethernet port available on your computer, and you will need to have permissions to configure your network interface. With a direct connection, you will be able to use PYNQ, but unless you can bridge the Ethernet connection to the board to an Internet connection on your computer, your board will not have Internet access. You will be unable to update or load new packages without Internet access. +--------------------------------------------------------+ | Direct Connection to your computer (Static IP) | @@ -128,7 +128,7 @@ You will need to have an Ethernet port available on your computer, and you will | 3. Browse to http://192.168.2.99:9090 | +--------------------------------------------------------+ -\* See `Appendix: Assign your PC/Laptop a static IP address <17_appendix.html#assign-your-laptop-pc-a-static-ip-address>`_ +\* See `Appendix: Assign your PC/Laptop a static IP address `_ Powering on @@ -169,8 +169,7 @@ In the Jupyter portal home area, select **New >> terminal**. This will open a terminal inside the browser as root. -Next enter and execute the following command. (Note that you should replace NEW_HOST_NAME with the hostname you want for your board.) - +Next enter and execute the following command. (Note that you should replace NEW_HOST_NAME with the hostname you want for your board.) .. code-block:: console @@ -181,13 +180,13 @@ Next enter and execute the following command. (Note that you should replace NEW :height: 300px :align: center -Follow the instructions to reboot the board. +Follow the instructions to reboot the board. Note that as you are logged in as root, sudo is not required, but if you are logged in as Xilinx, sudo must be added to these commands. .. code-block:: console sudo shutdown -r now -When the board reboots, reconnect using the new hostname. e.g. http://pynq_cmc:9090 +When the board reboots, reconnect using the new hostname. If you can't connect to your board, see the step below to open a terminal using the micro USB cable. @@ -314,12 +313,12 @@ You can update the pynq package by executing the script: /home/xilinx/scripts/update_pynq.sh -This will check the pynq GitHub, download and install the latest release. +This will check the pynq GitHub, download and install the latest release. Your board will need to have internet access to do this. Check the *Connect to a network* section above if necessary. -Updating will overwrite the introductory and example notebooks. You should make sure you take a backup of this, and any code you added to the pynq python directory. +Updating PYNQ will overwrite the introductory and example notebooks. You should make sure you take a backup of this, and any code you added to the pynq python directory. Troubleshooting ========================== -If you are having problems, please see the `Frequently asked questions <14_faqs.html>`_ or go the `PYNQ support forum `_ +If you are having problems, please see the `Frequently asked questions `_ or go the `PYNQ support forum `_ diff --git a/docs/source/3_jupyter_notebook.ipynb b/docs/source/3_jupyter_notebook.ipynb index f2e0f68233..5937335bcc 100755 --- a/docs/source/3_jupyter_notebook.ipynb +++ b/docs/source/3_jupyter_notebook.ipynb @@ -207,14 +207,10 @@ ] }, { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, + "cell_type": "markdown", + "metadata": {}, "source": [ - ".. figure:: ./images/dashboard_files_tab.png\n", - " :width: 400\n", - " :align: center" + "![](images/dashboard_files_tab.png)" ] }, { @@ -229,14 +225,10 @@ ] }, { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, + "cell_type": "markdown", + "metadata": {}, "source": [ - ".. figure:: ./images/dashboard_files_tab_new.JPG\n", - " :width: 202\n", - " :align: center" + "![](images/dashboard_files_tab_new.JPG)" ] }, { @@ -251,14 +243,10 @@ ] }, { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, + "cell_type": "markdown", + "metadata": {}, "source": [ - ".. figure:: ./images/dashboard_files_tab_run.png\n", - " :width: 400\n", - " :align: center" + "![](images/dashboard_files_tab_run.png)" ] }, { @@ -271,14 +259,10 @@ ] }, { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, + "cell_type": "markdown", + "metadata": {}, "source": [ - ".. figure:: ./images/dashboard_files_tab_btns.png\n", - " :width: 301\n", - " :align: center" + "![](images/dashboard_files_tab_btns.png)" ] }, { @@ -293,14 +277,10 @@ ] }, { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, + "cell_type": "markdown", + "metadata": {}, "source": [ - ".. figure:: ./images/dashboard_running_tab.png\n", - " :width: 600\n", - " :align: center" + "![](images/dashboard_running_tab.png)" ] }, { @@ -356,13 +336,10 @@ ] }, { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, + "cell_type": "markdown", + "metadata": {}, "source": [ - ".. figure:: ./images/edit_mode.png\n", - " :align: center" + "![](images/edit_mode.png)" ] }, { @@ -393,13 +370,10 @@ ] }, { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, + "cell_type": "markdown", + "metadata": {}, "source": [ - ".. figure:: ./images/command_mode.png\n", - " :align: center" + "![](images/command_mode.png)" ] }, { @@ -437,14 +411,10 @@ ] }, { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, + "cell_type": "markdown", + "metadata": {}, "source": [ - ".. figure:: ./images/menubar_toolbar.png\n", - " :width: 786\n", - " :align: center" + "![](images/menubar_toolbar.png)" ] }, { diff --git a/docs/source/5_programming_onboard.ipynb b/docs/source/5_programming_onboard.ipynb index 8a0465fd3c..76cf027493 100755 --- a/docs/source/5_programming_onboard.ipynb +++ b/docs/source/5_programming_onboard.ipynb @@ -25,16 +25,8 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] - }, - { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, "source": [ - ".. figure:: images/pynqz1_board_io.JPG \n", - " :align: center" + "![](images/pynqz1_board_io.JPG)" ] }, { @@ -83,7 +75,7 @@ "metadata": {}, "source": [ "## Controlling a single LED\n", - "Now we can instantiate objects of each of these classes and use their methods to manipulate the corresponding peripherals. Let\u2019s start by instantiating a single LED and turning it on and off." + "Now we can instantiate objects of each of these classes and use their methods to manipulate the corresponding peripherals. Let’s start by instantiating a single LED and turning it on and off." ] }, { @@ -130,7 +122,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Let\u2019s then toggle _led0_ using the sleep() method to see the LED flashing. " + "Let’s then toggle _led0_ using the sleep() method to see the LED flashing. " ] }, { @@ -269,9 +261,10 @@ } ], "metadata": { + "anaconda-cloud": {}, "celltoolbar": "Raw Cell Format", "kernelspec": { - "display_name": "Python 3", + "display_name": "Python [default]", "language": "python", "name": "python3" }, @@ -285,9 +278,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.3+" + "version": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 1 -} \ No newline at end of file +} diff --git a/docs/source/6_overlays.rst b/docs/source/6_overlays.rst index fc487cca5e..b876a79384 100755 --- a/docs/source/6_overlays.rst +++ b/docs/source/6_overlays.rst @@ -1,128 +1,115 @@ - ************************** Introduction to Overlays ************************** +.. contents:: Table of Contents + :depth: 2 + Overlay Concept =================== -The Xilinx® Zynq® All Programmable device is an SOC based on a dual-core ARM® Cortex®-A9 processor (referred to as the *Processing System* or **PS**), which also includes FPGA fabric (referred to as *Programmable Logic* or **PL**). The ARM SoC subsystem also includes a number of dedicated peripherals (memory controllers, USB, Uart, IIC, SPI etc). +The Xilinx® Zynq® All Programmable device is an SOC based on a dual-core ARM® Cortex®-A9 processor (referred to as the *Processing System* or **PS**). A Zynq chip also includes FPGA fabric (referred to as *Programmable Logic* or **PL**). The ARM SoC subsystem also includes a number of dedicated peripherals (memory controllers, USB, Uart, IIC, SPI etc). .. image:: ./images/zynq_block_diagram.jpg :align: center +On the Pynq-Z1 board, the DDR memory controller, Ethernet, USB, SD, UART are connected on the board. + The FPGA fabric is reconfigurable, and can be used to implement high performance functions in hardware. However, FPGA design is a specialized task which requires deep hardware engineering knowledge and expertise. -Overlays, or hardware libraries, are programmable/configurable FPGA designs that extend the user application from the Processing System of the Zynq into the Programmable Logic. This allows software programmers to take advantage of the FPGA fabric to accelerate an application, or to use an overlay to customize the hardware platform for a particular application. +Overlays, or hardware libraries, are programmable/configurable FPGA designs that extend the user application from the Processing System of the Zynq into the Programmable Logic. Overlays can be used to accelerate a software application, or to customize the hardware platform for a particular application. -For example, image processing is a typical application where the FPGAs can provide acceleration. A software programmer can use a hardware library to run some of the image processing functions (e.g. edge detect, thresholding etc.) on the FPGA fabric. -Hardware libraries can be loaded to the FPGA dynamically, as required, just like a software library. -Using Pynq, separate image processing functions could be implemented in different overlays and loaded from Python on demand. +For example, image processing is a typical application where the FPGAs can provide acceleration. A software programmer can use an overlay in a similar way to a software library to run some of the image processing functions (e.g. edge detect, thresholding etc.) on the FPGA fabric. +Overlays can be loaded to the FPGA dynamically, as required, just like a software library. In this example, separate image processing functions could be implemented in different overlays and loaded from Python on demand. -To give another example, the PYNQ-Z1 has more pins/interfaces available than a typical embedded platform, and can implement multiple custom processors in the Programmable logic. -Multiple sensor and actuator controllers, and multiple heterogeneous custom processors (real-time or non real-time), could be implemented in hardware in the new overlay, and connected to the available pins. A software programmer could use the controllers and processors in the overlay through a Pynq API. - Base Overlay =================== -The base overlay is a precompiled FPGA design that can be downloaded to the Programmable Logic. It is the default overlay included with the PYNQ-Z1 image, and is automatically loaded when the system boots. +The base overlay is the default overlay included with the PYNQ-Z1 image, and is automatically loaded into the Programmable Logic when the system boots. -This overlay customizes the Programmable Logic to connect HDMI In and Out controllers, an audio controller (Mic In and Audio Out), and the Pmod and Arduino interfaces (through the IO Processors) to the PS. This allows the peripherals to be used from the Pynq environment. There is also a tracebuffer connected to the Pmod, and Arduino interfaces to allow for hardware debug. The user buttons, switches and LEDs are also connected to the PS in the base overlay. +This overlay includes the following hardware: +* HDMI In +* HDMI Out +* Mic in +* Audio out +* User LEDs, Switches, Pushbuttons +* 2x PMOD IOP +* Arduino IOP +* Trace buffer + .. image:: ./images/pynqz1_base_overlay.png :align: center -The Pmod and Arduino interfaces have special custom IO Processors that allow a range of peripherals with different IO standards to be connected to the system. This allows a software programmer to use a wide range of peripherals with different interfaces and protocols without needing to create a new FPGA design for each peripheral or set of peripherals. +HDMI +----------- +The HDMI controllers are connected directly to the HDMI interfaces. There is no external HDMI circuitry. -Pmod Peripherals -=================== +`Digilent HDMI reference for the PYNQ-Z1 board `_ -A Pmod interface is a 12-pin connector that can be used to connect peripherals. A range of Pmod peripherals are available from Digilent and third parties. Typical Pmod peripherals include sensors (voltage, light, temperature), communication interfaces (Ethernet, serial, wifi, bluetooth), and input and output interfaces (buttons, switches, LEDs). +Both HDMI interfaces are connected to DDR memory. Video can be streamed from the HDMI *in* to memory, and from memory to HDMI *out*. This allows processing of video data from python, or writing an image or Video stream from Python to the HDMI out. -There are two Pmod connectors on PYNQ-Z1. +Note that Jupyter notebooks supports embedded video. However, video captured from the HDMI will be in raw format and would not be suitable for playback in a notebook without appropriate encoding. -.. image:: ./images/pynqz1_pmod_interface.jpg - :align: center +HDMI In +^^^^^^^^^^^^ +The HDMI in interface can capture standard HDMI resolutions. After a HDMI source has been connected, and the HDMI controller started, it will automatically detect the incoming data. The resolution can be read from the HDMI Python class, and the image data can be streamed to DDR memory. -Pmod Port ------------------------ +HDMI Out +^^^^^^^^^^^^ -Each Pmod connector has 12 pins: 2 rows of 6 pins, where each row has 3.3V (VCC), ground (GND) and 4 data pins. This gives 8 data pins in total. Pmod data pins are labelled 0-7 in the image below. The pin number needs to be specified in Python when creating a new instance of a peripheral connected to a port. +The HDMI out IP supports the following resolutions: -.. image:: images/pmod_closeup.JPG - :align: center - -Pmods come in different configurations depending on the number of data pins required. e.g. Full single row: 1x6 pins; full double row: 2x6 pins; and partially populated: 2x4 pins. +* 640x480 +* 800x600 +* 1024x768 +* 1280x1024 +* 1920x1080 -.. image:: images/pmod_pins.png - :align: center +Data can be stream from DDR memory to the HDMI output. The Pynq HDMI Out python instance contains framebuffers to allow for smooth display of video data. -Pmods that use both rows (e.g. 2x4 pins, 2x6 pins), should usually be aligned to the left of the connector (to align with VCC and GND). +See the `5_base_overlay_video.ipynb `_ notebook in the getting started directory for examples of using the HDMI In and Out. -.. image:: images/pmod_tmp2_8pin.JPG -Pmod peripherals with only a single row of pins can be physically plugged into the top row or the bottom row of a Pmod port (again, aligned to VCC/GND). However, if you are using an existing driver/overlay, you will need to check which pins/rows are supported for a given overlay, as not all options may be implemented. e.g. the Pmod ALS is currently only supported on the top row of a Pmod port, not the bottom row. +Mic in +-------------- -Supported Peripherals ------------------------------ +The PYNQ-Z1 board has an integrated mic on the board and is connected directly to the Zynq PL pins. This means the board does not have an audio codec. The Mic generates audio data in PDM format. +`Digilent MIC in reference for the PYNQ-Z1 board `_ -A number of peripherals are supported: +Audio out +-------------- - * Pmods can be plugged directly into the Pmod port. - * Grove peripherals can be connected to the Pmod port through a *PYNQ Grove Adapter*. - * Other peripherals can be wired to a Pmod port. +The audio out IP is connected to a standard 3.5mm audio jack on the board. The audio output is PWM driven mono. +`Digilent Audio Out reference for the PYNQ-Z1 board `_ -PYNQ Grove Adapter ----------------------- +User IO +-------------- +The PYNQ-Z1 board includes two tri-color LEDs, 2 switches, 4 push buttons, and 4 individual LEDs. In the base overlay, the user IO is connected directly to the PS, and can be controlled directly from Python. -A Grove connector has four pins, VCC and GND, and two data pins. -The PYNQ Grove Adapter has four connectors (G1 - G4), allowing four Grove devices to be connected to one Pmod port. +IOPs +-------------- +IOPs are dedicated IO processor subsystems that allow peripherals with different IO standards to be connected to the system on demand. This allows a software programmer to use a wide range of peripherals with different interfaces and protocols. The same overlay can be used to support different peripheral. -.. image:: ./images/pmod_grove_adapter.jpg - :align: center +There are two types of IOPs: Pmod, and Arduino. Both types of IOPs have a similar architecture, but have different configurations of IP to connect to supported peripherals. -All pins operate at 3.3V. Due to different pull-up/pull-down I/O requirements for different peripherals (e.g. IIC requires pull-up, and SPI requires pull-down), Grove peripherals must be plugged into the appropriate connector. +Pmods are covered in more detail in the next section. -G1 and G2 pins are connected to pins with pull-down resistors, and G3 and G4 are connected to pins with pull-up resistors (IIC), as indicated in the image. +Trace buffer +-------------- -.. image:: ./images/adapter_mapping.JPG - :align: center +A trace buffer is available and can be used to capture trace data on the Pmod, and Arduino interfaces for debug. The trace buffer is connected directly to DDR. This allows trace data on the interfaces to be streamed back to DDR memory for analysis in Python. -Pmods already take this pull up/down convention into account in their pin layout, so no special attention is required to connect Pmods. - -Arduino Peripherals -============================ +Trace data can be displayed as decoded waveforms inside a Jupyter notebook. -There is one Arduino connector on the board and can be used to connect to arduino compatible shields. - -.. image:: ./images/pynqz1_arduino_interface.jpg - :align: center - -Arduino Connector ------------------------ - -Each Arduino connector has 6 analog pins (A0 - A5), 14 multi-purpose Digital pins (D0 - D13), 2 dedicated I2C pins (SCL, SDA), and 4 dedicated SPI pins. - - -Supported Peripherals ------------------------------ - -Most Arduino compatible shields can be used with the PYNQ-Z1 board. However, the PYNQ-Z1 board has a limited analog range, so not all Arduino analog shields are supported. - - -PYNQ Shield --------------------- - -As mentioned previously, each Grove connector has 4 pins. The PYNQ Shield has 12 Grove connectors for digital IO (I2C, UART, G1 - G7) and 4 Grove connectors for analog IO (A1 - A4). - -.. image:: ./images/arduino_shield.jpg - :align: center +Examples +^^^^^^^^^^^^ -With the PYNQ shield jumper (JP1) set to 3.3V (as in the figure), all the pins operate at 3.3V. +See the `trace buffer_i2c.ipynb `_ and the `trace buffer_spi.ipynb `_ in the examples directory for examples on how to use the trace buffer. diff --git a/docs/source/7_iop_architecture.rst b/docs/source/7_iop_architecture.rst deleted file mode 100644 index fd1b6b7b2f..0000000000 --- a/docs/source/7_iop_architecture.rst +++ /dev/null @@ -1,198 +0,0 @@ -******************************* -IO Processor Architecture -******************************* - -For overlays to be useful, they must provide sufficient functionality, while also providing flexibility to suit a wide range of applications. Flexibility in the base overlay is demonstrated through the use of IO Processors (IOPs). - -An IO Processor is implemented in the programmable logic and connects to and controls an external port on the board. There are two types of IOP: Pmod IOP and Arduino IOP. - -Each IOP contains a MicroBlaze processor, a configurable switch, peripherals, and memory for the MicroBlaze instruction and data memory. The memory is dual-ported, with one port connected to the MicroBlaze, and the other connected to the ARM® Cortex®-A9 processor. This allows the ARM processor to access the MicroBlaze memory and dynamically write a new program to the MicroBlaze instruction area. The data area of the memory can be used for communication and data exchanges between the ARM processor and the IOP(s). e.g. a simple mailbox. - -In the base overlay, two IOPs control each of the two Pmod interfaces, and another IOP controls the Arduino interface. Inside the IOP are dedicated peripherals; timers, UART, IIC, SPI, GPIO, and a configurable switch. (Not all peripherals are available in the Pmod IOP.) IIC and SPI are standard interfaces used by many of the available Pmod, Grove and other peripherals. GPIO can be used to connect to custom interfaces or used as simple inputs and outputs. When a Pmod, Arduino shield, or other peripheral is plugged in to a port, the configurable switch allows the signals to be routed dynamically to the required dedicated interface. This is how the IOP provides flexibility and allows peripherals with different pin connections and protocols to be used on the same port. - - -Pmod IOP -================== - -Two Pmod IOPs are included in the base overlay to control each of the two Pmod interfaces on the board. - -.. image:: ./images/pmod_iop.jpg - :align: center - -As indicated in the diagram, the Pmod IOP has a MicroBlaze, a configurable switch, and the following peripherals: - -* I2C -* SPI -* GPIO blocks -* Timer - - -Pmod IOP configurable switch ------------------------------ - -The MicroBlaze, inside the IOP, can configure the switch by writing to the configuration registers of the switch. This would be done by the MicroBlaze application. - -For the Pmod IOP switch, each individual pin can be configured by writing a 4-bit value to the corresponding place in the IO switch configuration registers. - -The following function, part of the Pmod IO switch driver, can be used to configure the switch. - -.. code-block:: c - - void config_pmod_switch(); - - - -Switch mappings used for IO switch configuration: - - -For example: - -.. code-block:: c - - config_pmod_switch(SS,MOSI,GPIO_2,SPICLK,GPIO_4,GPIO_5,GPIO_6,GPIO_7); - -This would connect a SPI interface: -* Pin 1: SS -* Pin 2: MOSI -* Pin 4: SPICLK - -and the remaining pins to their corresponding GPIO (which could be left unused in the MicroBlaze application). - -From Python all the constants and addresses for the IOP can be found in: - -:: - - /python/pynq/iop/iop_const.py - -``pmod.h`` and ``pmod.c`` are part of the Pmod IO switch driver, and contain an API, addresses, and constant definitions that can be used to write code for an IOP. - -:: - - /Pynq-Z1/vivado/ip/pmod_io_switch_1.0/ \ - drivers/pmod_io_switch_v1_0/src/ - -This code is automatically compiled into the Board Support Package (BSP). Any application linking to the BSP can use this library by including the header file: - -.. code-block:: c - - #include "pmod_io_switch.h" - - - -Arduino IOP -=========================== - -Similar to the Pmod IOP, an Arduino IOP is available to control the Arduino interface. The Arduino IOP is similar to the PMOD IOP, but has some additional internal peripherals (extra timers, an extra I2c, and SPI, a UART, and an XADC). The configurable switch is also different to the Pmod switch. - -.. image:: ./images/arduino_iop.jpg - :align: center - -As indicated in the diagram, the Arduino IOP has a MicroBlaze, a configurable switch, and the following peripherals: - -* 2x I2C -* 2x SPI -* 1x UART -* 3x GPIO blocks -* 1x XADC -* 1 Interrupt controller (32 channels) - -The interrupt controller can be connected to all the analog and digital pins, and each of the 6 timers, the I2Cs, the SPIs, the XADC, and UART. This means an external pin on the shield interface can trigger an interrupt. An internal peripheral can also trigger an interrupt. - -Arduino shields have fixed possible configurations. According to the Arduino specification, the analog pins can be used as analgo, or digital I/O. - -Other peripherals can be connected as indicated in the table. - -========== ========================= -Peripheral Pins -========== ========================= -UART D0, D1 -I2C A4, A5 -SPI* D10 - D13 -PWM D3, D5, D6, D9, D10, D11 -Timer D3 - D6 and D8 - D11 -========== ========================= - -\* There are also dedicated pins for a separate SPI. - -For example, a shield with a UART and 5 Digital IO can connect the UART to pins D0, D1, and the Digital IO can be connected to pins D2 - D6. - -While there is support for analog inputs via the internal XADC, this only allows inputs of 0-1V. The Arduino supports 0-5V analog inputs which are not supported on the PYNQ-Z1. - - -Arduino IOP configurable Switch ---------------------------------- - -The switch can be configured by writing to its configuration registers. - -The dedicated SPI pins are always connected to one of the SPI controllers. - -The analog and digital pins can be configured by writing a 4-bit value to the corresponding place in the IO switch configuration registers, similar to the Pmod switch. - -The following function, part of the Arduino IO switch driver, can be used to configure the switch. - -.. code-block:: c - - void config_arduino_switch(); - - - -Switch mappings used for IO switch configuration: - -=== ====== ===== ========= ====== ====== ================ ======== ==== ============= - -Pin A/D IO A_INT Interrupt UART PWM Timer SPI IIC Input-Capture - -=== ====== ===== ========= ====== ====== ================ ======== ==== ============= -A0 A_GPIO A_INT -A1 A_GPIO A_INT -A2 A_GPIO A_INT -A3 A_GPIO A_INT -A4 A_GPIO A_INT IIC -A5 A_GPIO A_INT IIC -D0 D_GPIO D_INT D_UART -D1 D_GPIO D_INT D_UART -D2 D_GPIO D_INT -D3 D_GPIO D_INT D_PWM0 D_TIMER Timer0 IC Timer0 -D4 D_GPIO D_INT D_TIMER Timer0_6 -D5 D_GPIO D_INT D_PWM1 D_TIMER Timer1 IC Timer1 -D6 D_GPIO D_INT D_PWM2 D_TIMER Timer2 IC Timer2 -D7 D_GPIO D_INT -D8 D_GPIO D_INT D_TIMER Timer1_7 Input Capture -D9 D_GPIO D_INT D_PWM3 D_TIMER Timer3 IC Timer3 -D10 D_GPIO D_INT D_PWM4 D_TIMER Timer4 D_SS IC Timer4 -D11 D_GPIO D_INT D_PWM5 D_TIMER Timer5 D_MOSI IC Timer5 -D12 D_GPIO D_INT D_MISO -D13 D_GPIO D_INT D_SPICLK - -=== ====== ===== ========= ====== ====== ================ ======== ==== ============= - -For example, to connect the UART to D0 and D1, write D_UART to the configuration register for D0 and D1. - -.. code-block:: c - - config_arduino_switch(A_GPIO, A_GPIO, A_GPIO, A_GPIO, A_GPIO, A_GPIO, - D_UART, D_UART, D_GPIO, D_GPIO, D_GPIO, - D_GPIO, D_GPIO, D_GPIO, D_GPIO, - D_GPIO, D_GPIO, D_GPIO, D_GPIO); - -From Python all the constants and addresses for the IOP can be found in: - -:: - - /python/pynq/iop/iop_const.py - -``arduino.h`` and ``arduino.c`` are part of the Arduino IO switch driver, and contain an API, addresses, and constant definitions that can be used to write code for an IOP. - -:: - - /Pynq-Z1/vivado/ip/arduino_io_switch_1.0/ \ - drivers/arduino_io_switch_v1_0/src/ - -This code this automatically compiled into the Board Support Package (BSP). Any application linking to the BSP can use this library by including the header file: - -.. code-block:: c - - #include "arduino_io_switch.h" - - - diff --git a/docs/source/7_peripherals.rst b/docs/source/7_peripherals.rst new file mode 100644 index 0000000000..0ee6fc2819 --- /dev/null +++ b/docs/source/7_peripherals.rst @@ -0,0 +1,126 @@ +************************** +Peripherals and Interfaces +************************** + +.. contents:: Table of Contents + :depth: 2 + +Introduction +==================== + +The Zynq PL can support many types of protocols and interfaces for external peripherals. The Pynq-Z1 has two Pmod ports and one Arduino interface for connecting external peripherals directly to the Zynq PL. This allows peripherals to be controlled in hardware. Other peripherals can be connected to these ports via adapters, or with a breadboard. + +The USB port can also be used to connect standard USB peripherals to the Zynq PS. Linux drivers are required for connecting USB peripherals. The PYNQ image currently includes drivers for some webcams, and USB wifi peripherals. + +Note that the Zynq PS has dedicated peripherals including Ethernet, USB, UART, IIC, SPI, CAN controllers and GPIO. Only the Ethernet, USB, and UART are connected externally on the board. It is possible to connect the other controllers internally to the Zynq PL. The peripherals could then be used internally inside the PL, or routed to PL pins. E.g. to Pmod, or Arduino pins. This would require an overlay design. + +In the base overlay, each IOP has its only set of controllers, implemented in programmable logic, and does not need to use the Zynq PS peripherals. + +Pmod port +=================== + +A Pmod port is an open 12-pin interface that is supported by a range of Pmod peripherals from Digilent and third party manufacturers. +Typical Pmod peripherals include sensors (voltage, light, temperature), communication interfaces (Ethernet, serial, wifi, bluetooth), and input and output interfaces (buttons, switches, LEDs). + +There are two Pmod connectors on PYNQ-Z1. + +.. image:: ./images/pynqz1_pmod_interface.jpg + :align: center + + +Pmod pins +----------------------- + +Each Pmod connector has 12 pins arranged in 2 rows of 6 pins. Each row has 3.3V (VCC), ground (GND) and 4 data pins. Using both rows gives 8 data pins in total. + +Pmods come in different configurations depending on the number of data pins required. e.g. Full single row: 1x6 pins; full double row: 2x6 pins; and partially populated: 2x4 pins. + +.. image:: images/pmod_pins.png + :align: center + +Pmods that use both rows (e.g. 2x4 pins, 2x6 pins), should usually be aligned to the left of the connector (to align with VCC and GND). VCC and GND are labelled on the PYNQ-Z1 board. + +.. image:: images/pmod_tmp2_8pin.JPG + +Pmod peripherals with only a single row of pins can be connected to either the top row or the bottom row of a Pmod port (again, aligned to VCC/GND). If you are using an existing driver/overlay, you will need to check which pins/rows are supported for a given overlay, as not all options may be implemented. e.g. the Pmod ALS is currently only supported on the top row of a Pmod port, not the bottom row. + +Pmod IO standard +^^^^^^^^^^^^^^^^^^^^^^^^^^ + +All pins operate at 3.3V. Due to different pull-up/pull-down I/O requirements for different peripherals (e.g. IIC requires pull-up, and SPI requires pull-down) the Pmod data pins have different IO standards. + +0,1 and 4,5 are connected to pins with pull-down resistors. This can support the SPI interface, and most peripherals. 2,3 and 6,7 are connected to pins with pull-up resistors. This can support the IIC interface. + +Pmods already take this pull up/down convention into account in their pin layout, so no special attention is required when using Pmods. + + +Other Peripherals +----------------------------- + +Pmod ports are design for use with Pmods. The 8 data pins of a Pmod port can be used to connect to a breadboard, or directly to other peripherals. + +Grove peripherals which use a four wire interface can also be connected to the Pmod port through a *PYNQ Grove Adapter*. + + +PYNQ Grove Adapter +^^^^^^^^^^^^^^^^^^^ + +A Grove connector has four pins, VCC and GND, and two data pins. + +The PYNQ Grove Adapter has four connectors (G1 - G4), allowing up to four Grove devices to be connected to one Pmod port. Remember that an IOP application will be required to support the configuration of connected peripherals. + +.. image:: ./images/pmod_grove_adapter.jpg + :align: center + +Pmod IO standard for Grove +^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +On the grove adapter G1 and G2 map to Pmod pins [0,4] and [1,5], which are connected to pins with pull-down resistors (supports SPI interface, and most peripherals). G3 and G4 map to pins [2,6], [3,7], which are connected to pins with pull-up resistors (IIC), as indicated in the image. + +.. image:: ./images/adapter_mapping.JPG + :align: center + + +Arduino connector +============================ + +There is one Arduino connector on the board and can be used to connect to Arduino compatible shields. + +.. image:: ./images/pynqz1_arduino_interface.jpg + :align: center + +Arduino pins +----------------------- + +Each Arduino connector has 6 analog pins (A0 - A5), 14 multi-purpose Digital pins (D0 - D13), 2 dedicated I2C pins (SCL, SDA), and 4 dedicated SPI pins. + + +ChipKit pins +---------------- + +There are also *ChipKit* pins beside the Arduino interface on the PYNQ-Z1 board. These pins are connected to the Zynq PL, but are not enabled in the base overlay. + + +Supported Peripherals +----------------------------- + +Most Arduino compatible shields can be used with the PYNQ-Z1 board. However, the PYNQ-Z1 board has a limited analog range, so not all Arduino analog shields are supported. + + +PYNQ Shield +-------------------- + +Each Grove connector has 4 pins. The PYNQ Shield connects to the Arduino and ChipKit pins on the PYNQ-Z1 board. The PYNQ shield has 12 Grove connectors for digital IO (I2C, UART, G1 - G7) and 4 Grove connectors for analog IO (A1 - A4). + +.. image:: ./images/arduino_shield.jpg + :align: center + +With the PYNQ shield jumper (JP1) set to 3.3V (as in the figure), all the pins operate at 3.3V. With JP1 set to 5V, G4 - G7 operated at VDD = 5V. + +The Arduino pins, and ChipKit pins are also passed to the top of the board to allow additional shields to be attached. + +Using Peripherals +===================== + +Pynq introduces IOPs (Input Output Processors) which are covered in the next section. An IOP consists of a MicroBlaze processor with dedicated peripherals which can be selected and routed to the physical interface at runtime. An IOP provides flexibility allowing peripherals with different protocols and interfaces to be used with the same overlay. +A peripheral will have an IOP driver application, and a Python wrapper. The next sections will cover the IOP architecture, and how to write driver applications and the corresponding Python wrapper for a peripheral. \ No newline at end of file diff --git a/docs/source/temp/9a_base_overlay_iop.tmp b/docs/source/8_base_overlay_iop.ipynb similarity index 96% rename from docs/source/temp/9a_base_overlay_iop.tmp rename to docs/source/8_base_overlay_iop.ipynb index 014a7207de..2e814f3faa 100644 --- a/docs/source/temp/9a_base_overlay_iop.tmp +++ b/docs/source/8_base_overlay_iop.ipynb @@ -15,7 +15,13 @@ "\n", "The PYNQ-Z1 has 2 Pmod connectors. PMODA and PMODB as indicated below are connected to the FPGA fabric. \n", "\n", - "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ "![](images/pynqz1_pmod_interface.jpg)" ] }, @@ -41,7 +47,13 @@ "Plug the PmodALS into PMODA, and PmodOLED into the top row of PMODB. (Currently, the PmodALS can only be used in the top row of a Pmod port.)\n", "\n", "OLED displaying light reading from ambient light sensor:\n", - "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ "![](images/als_oled_demo.JPG)" ] }, @@ -194,4 +206,4 @@ }, "nbformat": 4, "nbformat_minor": 1 -} +} \ No newline at end of file diff --git a/docs/source/8_iop_code.rst b/docs/source/8_iop_code.rst deleted file mode 100644 index 50f985ef1f..0000000000 --- a/docs/source/8_iop_code.rst +++ /dev/null @@ -1,385 +0,0 @@ -******************************************** -IO Processors: Writing Your Own Software -******************************************** -There are a number of steps required before you can start writing your own software for an IOP (IO Processor). This document will describe the IOP architecture, and how to set up and build the required software projects to allow you to write your own application for the MicroBlaze inside an IOP. Xilinx® SDK projects can be created manually using the SDK GUI, or software can be built using a Makefile flow. - -IO Processors -============== - -As seen previously, an IOP can be used as a flexible controller for different types of external peripherals. The ARM® Cortex®-A9 is an application processor, which runs Pynq and Jupyter notebook on a Linux OS. This scenario is not well suited to real-time applications, which is a common requirement for an embedded systems. In the base overlay there are three IOPs. As well as acting as a flexible controller, an IOP can be used as dedicated real-time controller. - -IOPs can also be used standalone to offload some processing from the main processor. However, note that the MicroBlaze processor inside an IOP in the base overlay is running at 100 MHz, compared to the Dual-Core ARM Cortex-A9 running at 650 MHz. The clock speed, and different processor architectures and features should be taken into account when offloading pure application code. e.g. Vector processing on the ARM Cortex-A9 Neon processing unit will be much more efficient than running on the MicroBlaze. The MicroBlaze is most appropriate for low-level, background, or real-time applications. - -There are two types of IOP, a Pmod IOP and an Arduino IOP. - -Previous sections showed the similarities between the Pmod IOP and Arduino IOP. Each IOP contains a `Xilinx MicroBlaze processor `_, a Debug module, and one or more of the following functional units and interface peripherals: - - * `AXI Timer `_ - * `AXI IIC `_ - * `AXI SPI `_ - * `AXI GPIO `_ - -The Arduino also includes a UART, and XADC. - -The interface peripherals are connected to a Configurable Switch. The switch is different for the Pmod and the Arduino IOPs. The Pmod configurable switch connects to a Pmod port, and the Arduino configurable switch connects to an Arduino interface connector. - -Pmod IOP: - - -.. image:: ./images/pmod_iop.jpg - :align: center - - -The IOP's configurable switch can be used to route signals between the physical interface, and the available internal peripherals in the IOP sub-system. - -Software requirements -========================== - -A MicroBlaze cross-compiler is required to build software for the MicroBlaze inside an IOP. Xilinx SDK contains the MicroBlaze cross-compiler and was used to build all Pmod device drivers released with Pynq and is available for free. It should be noted that Pynq ships with precompiled IOP executables to support various peripherals (see `Pynq Modules `_), but that full source code is available from the project GitHub. Xilinx software is only needed if you intend to build your own IOP applications/peripheral drivers. A free, fully functional, version of the Xilinx tools is available for Pynq if required (see the free `Xilinx Vivado WebPack `_ for more details). - -The current Pynq release is built using Vivado and SDK 2016.1. it is recommended to use the same version to rebuild existing Vivado and SDK projects. If you only intend to build software, you will only need to install SDK. The full Vivado and SDK installation is only required to design new overlays. - -`Download Xilinx Vivado and SDK 2016.1 `_ - -You can use the Vivado HLx Web Install Client and select SDK and/or Vivado during the installation. - -Pynq also support building of bitstreams from SDSoC. SDSoC is currently a separate download and installation from the main Vivado/SDK software. - -Compiling projects -========================== - -Software executables run on the MicroBlaze inside the IOP. Code for the MicroBlaze can be written in C or C++ and compiled using the `Xilinx SDK (Software Development Kit) `_. - -You can pull or clone the Pynq GitHub repository, and all the driver source and project files can be found in ``\Pynq-Z1\sdk``, (Where ```` is the location of the PYNQ repository). - -These projects are considered SDK *Application* projects and contain the top level application. Each SDK project requires a BSP project (Board Support Package), and a hardware platform project. See below for more details. Software libraries are included in a Board Support Package (BSP) project, and the BSP is linked to from the application project. - -All *Application* projects can be compiled from the command line using Makefiles, or imported into the SDK GUI. - -You can also use existing projects as a starting point to create your own project. - -HDF file ------------- - -Before an Application project and BSP can be created or compiled in SDK, a *Hardware Platform* project is required. A Hardware Platform defines the peripherals in the IOP subsystem, and the memory map of the system, and is used by the BSP to build software libraries to support the underlying hardware. - -A Hardware Description File (.hdf), created by Vivado, is used to create the *Hardware Platfrom* project in SDK. - -A precompiled .hdf file is provided, so it is not necessary to run Vivado to generate a .hdf file: - - ``/Pynq-Z1/sdk/`` - -Board Support Package --------------------------- - -The BSP (Board Support Package) contains software libraries and drivers to support the underlying peripherals in the system. - -A BSP must be linked to a Hardware Platform, as this is where the peripherals in the system are defined. An Application Project is then linked to a BSP, and can use the libraries available in the BSP. - -Building the projects --------------------------- - -A Makefile to automatically create and build the Hardware Platform and the BSP can be found in the same location as the .hdf file. - - ``/Pynq-Z1/sdk/makefile`` - -Application projects for peripherals that ship with Pynq (e.g. Pmods and Grove peripherals) can also be found in the same location. Each project is contained in a separate folder. - -The Makefile uses the .hdf file to create the Hardware Platform. The BSP can then be created. The application projects will also be compiled automatically as part of this process. - -The Makefile requires SDK to be installed, and can be run from Windows, or Linux. - -To run ``make`` from Windows, open SDK, and choose a temporary workspace (make sure this path is external to the downloaded GitHub repository). From the *Xilinx Tools* menu, select *Launch Shell* - -.. image:: ./images/sdk_launch_shell.jpg - :scale: 75% - :align: center - -In Linux, open a terminal, and source the SDK tools. - -From either the Windows Shell, or the Linux terminal, navigate to the sdk folder in your local copy of the GitHub repository: - - cd to ``/Pynq-Z1/sdk`` and run ``make`` - -.. image:: ./images/sdk_make.JPG - :scale: 75% - :align: center - -.. image:: ./images/sdk_make_result.JPG - :scale: 75% - :align: center - -This will create the Hardware Platform Project (*hw_def*), and the Board Support Package (*bsp*), and then link and build all the application projects. - -If you examine the Makefile, you can see how the *MBBINS* variable at the top of the makefile is used to compile the application projects. If you want to add your own custom project to the build process, you need to add the project name to the *MBBINS* variable, and save the project in the same location as the other application projects. - -Individual projects can be built by navigating to the ``/Debug`` and running ``make``. - -Binary files ------------------ - -Compiling code produces an executable file (.elf) which needs to be converted to binary format (.bin) to be downloaded to, and run on, an IOP. - -A .bin file can be generated from a .elf by running the following command from the SDK shell: - - ``mb-objcopy -O binary .elf .bin`` - -This is done automatically by the makefile for the existing application projects. The makefile will also copy all .bin files into the ``/Pynq-Z1/sdk/bin`` folder. - -Creating your own Application project --------------------------------------- - -Using the Makefile flow, you can use an existing project as a starting point for your own project. - -Copy and rename the project, and modify or replace the .c file in the src/ with your C code. The generated .bin file will have the same base name as your C file. - -e.g. if your C code is my_peripheral.c, the generated .elf and .bin will be my_peripheral.elf and my_peripheral.bin. - -We encourage the following naming convention for applications _ - -You will need to update references from the old project name to your new project name in ``/Debug/makefile`` and ``/Debug/src/subdir.mk`` - -If you want your project to build in the main Makefile, you should also append the .bin name of your project to the *MBBINS* variable at the top of the makefile. - -If you are using the SDK GUI, you can import the Hardware Platform, BSP, and any application projects into your SDK workspace. - -.. image:: ./images/sdk_import_bsp.JPG - :scale: 75% - :align: center - - -The SDK GUI can be used to build and debug your code. - -IOP Memory -========================== - - -The IOP instruction and data memory is implemented in a dual port Block RAM, with one port connected to the IOP, and the other to the ARM processor. This allows an executable binary file to be written from the ARM (i.e. the Pynq environment) to the IOP instruction memory. The IOP can also be reset from Pynq, allowing the IOP to start executing the new program. The IOP data memory is also used as a mailbox for communication and data exchanges between the Pynq environment and the IOP. - - -Memory map ----------- - -The IOP memory is 64KB of shared data and instruction memory. Instruction memory for the IOP starts at address 0x0. -Pynq and the application running on the IOP can write to anywhere in the shared memory space (although care should be taken not to write to the instruction memory unintentionally as this will corrupt the running application). - -When building the MicroBlaze project, the compiler will only ensure that the application and *allocated* stack and heap fit into the BRAM. For communication between the ARM and the MicroBlaze, a part of the shared memory space must also be reserved within the MicroBlaze address space. - -There is no memory management in the IOP. You must ensure the application, including stack and heap, do not overflow into the defined data area. Remember that declaring a stack and heap size only allocates space to the stack and heap. No boundary is created, so if sufficient space was not allocated, the stack and heap may overflow. - -If you need to modify the stack and heap for an application, the linker script can be found in the ``/src/`` directory. - -It is recommended to follow the convention for data communication between the two processors via MAILBOX. These MAILBOX values are defined in the header file. - - - ================================= ======== - Instruction and data memory start 0x0 - Instruction and data memory size 0xf000 - Shared mailbox memory start 0xf000 - Shared mailbox memory size 0x1000 - Shared mailbox Command Address 0xfffc - ================================= ======== - - -The following example explains how Python could initiate a read from a peripheral connected to an IOP. - -1. Python writes a read command (e.g. 0x3) to the mailbox command address (0xfffc). -2. MicroBlaze application checks the command address, and reads and decodes the command. -3. MicroBlaze performs a read from the peripheral and places the data at the mailbox base address (0xf000). -4. MicroBlaze writes 0x0 to the mailbox command address (0xfffc) to confirm transaction is complete. -5. Python checks the command address (0xfffc), and sees that the MicroBlaze has written 0x0, indicating the read is complete, and data is available. -6. Python reads the data in the mailbox base address (0xf000), completing the read. - - -Controlling the Pmod IOP Switch -================================= - - -There are 8 data pins on a Pmod port, that can be connected to any of 16 internal peripheral pins (8x GPIO, 2x SPI, 4x IIC, 2x Timer). - -Each pin can be configured by writing a 4 bit value to the corresponding place in the IOP Switch configuration register. -The following function, part of the provided pmod_io_switch_v1_0 driver (``pmod.h``) can be used to configure the switch. - -.. code-block:: c - - void config_pmod_switch(char pin0, char pin1, char pin2, char pin3, char pin4, \ - char pin5, char pin6, char pin7); - -While each parameter is a "char" only the lower 4-bits are currently used to configure each pin. - -Switch mappings used for IOP Switch configuration: - -======== ======= - Pin Value -======== ======= - GPIO_0 0x0 - GPIO_1 0x1 - GPIO_2 0x2 - GPIO_3 0x3 - GPIO_4 0x4 - GPIO_5 0x5 - GPIO_6 0x6 - GPIO_7 0x7 - SCL 0x8 - SDA 0x9 - SPICLK 0xa - MISO 0xb - MOSI 0xc - SS 0xd - PWM 0xe - TIMER 0xf -======== ======= - -For example, to connect the physical pins GPIO 0-7 to the internal GPIO_0 - GPIO_7: - -.. code-block:: c - - config_pmod_switch(GPIO_0, GPIO_1, GPIO_2, GPIO_3, GPIO_4, \ - GPIO_5, GPIO_6, GPIO_7); - -From Python all the constants and addresses for the IOP can be found in: - - ``/python/pynq/iop/iop_const.py`` - -Note that if two or more pins are connected to the same signal, the pins are OR'd together internally. This is not recommended and should not be done unintentionally. - -Any application that uses the Pmod driver should also call pmod_init() at the beginning of the application. - -Running code on different IOPs -================================= - - -The shared memory is the only connection between the ARM and the IOPs in the base overlay. The shared memory of a MicroBlaze is mapped to the ARM address space. Some example mappings are shown below to highlight the address translation between MicroBlaze and ARM's memory spaces. - -================= ========================= ============================ -IOP Base Address MicroBlaze Address Space ARM Equivalent Address Space -================= ========================= ============================ -0x4000_0000 0x0000_0000 - 0x0000_ffff 0x4000_0000 - 0x4000_ffff -0x4200_0000 0x0000_0000 - 0x0000_ffff 0x4200_0000 - 0x4200_ffff -0x4400_0000 0x0000_0000 - 0x0000_ffff 0x4400_0000 - 0x4400_ffff -================= ========================= ============================ - -Note that each MicroBlaze has the same range for its address space. However, the location of each IOPs address space in the ARM memory map is different for each IOP. As the address space is the same for each IOP, any binary compiled for one Pmod IOP will work on another Pmod IOP. - -e.g. if IOP1 exists at 0x4000_0000, and IOP2 (a second instance of an IOP) exists at 0x4200_0000, the same binary can run on IOP1 by writing the binary from python to the 0x4000_0000 address space, and on IOP2 by writing to the 0x4200_0000. - - -IOP Application Example -========================== - - -Taking Pmod ALS as an example IOP driver (used to control the PMOD light sensor), first open the pmod_als.c file: - -``/Pynq-Z1/sdk/pmod_als/src/pmod_als.c`` - -Note that the ``pmod.h`` header file is included. - -Some *COMMANDS* are defined by the user. These values can be chosen to be any value, but must correspond with the Python part of the driver. - -By convention, 0x0 is reserved for no command/idle/acknowledge, and IOP commands can be any non-zero value. - -The ALS peripheral has as SPI interface. Note the user defined function get_sample() which calls an SPI function spi_transfer() call defined in pmod.h. - -In ``main()`` notice ``config_pmod_switch()`` is called to initialize the switch with a static configuration. This means that if you want to use this code with a different pin configuration, the C code must be modified and recompiled. - -Next, the ``while(1)`` loop is entered. In this loop the IOP continually checks the ``MAILBOX_CMD_ADDR`` for a non-zero command. Once a command is received from Python, the command is decoded, and executed. - -Taking the first case, reading a single value: - -.. code-block:: c - - case READ_SINGLE_VALUE: - MAILBOX_DATA(0) = get_sample(); - MAILBOX_CMD_ADDR = 0x0; - -``get_sample()`` is called and a value returned to the first position (0) of the ``MAILBOX_DATA``. - -``MAILBOX_CMD_ADDR`` is reset to zero to acknowledge to the ARM processor that the operation is complete and data is available in the mailbox. - -Examine Python Code ---------------------- - -With the IOP Driver written, the Python class can be built that will communicate with that IOP. - -``/python/pynq/iop/pmod_als.py`` - -First the MMIO, request_iop, iop_const, PMODA and PMODB are imported. - -.. code-block:: python - - import time - from pynq import MMIO - from pynq.iop import request_iop - from pynq.iop import iop_const - from pynq.iop import PMODA - from pynq.iop import PMODB - - ALS_PROGRAM = "pmod_als.bin" - -The MicroBlaze binary for the IOP is also declared. This is the application executable, and will be loaded into the IOP instruction memory. - - - -The ALS class and an initialization method are defined: - -.. code-block:: python - - class Pmod_ALS(object): - def __init__(self, if_id): - -The initialization function for the module requires an IOP index. For Grove peripherals and the StickIt connector, the StickIt port number can also be used for initialization. The ``__init__`` is called when a module is instantiated. e.g. from Python: - -.. code-block:: python - - from pynq.pmods import Pmod_ALS - als = Pmod_ALS(PMODB) - -Looking further into the initialization method, the ``_iop.request_iop()`` call instantiates an instance of an IOP on the specified pmod_id and loads the MicroBlaze executable (ALS_PROGRAM) into the instruction memory of the appropriate MicroBlaze. - -.. code-block:: python - - self.iop = request_iop(if_id, PMOD_ALS_PROGRAM) - -An MMIO class is also instantiated to enable read and write to the shared memory. - -.. code-block:: python - - self.mmio = self.iop.mmio - -Finally, the iop.start() call pulls the IOP out of reset. After this, the IOP will be running the als.bin executable. - -.. code-block:: python - - self.iop.start() - -Example of Python Class Runtime Methods -------------------------------------------- - -The read method in the Pmod_ALS class will simply read an ALS sample and return that value to the caller. The following steps demonstrate a Python to MicroBlaze read transaction specfic to the ALS class. - -.. code-block:: python - - def read(self): - -First, the command is written to the MicroBlaze shared memory using mmio.write(). In this case the value 0x3 represents a read command. This value is user defined in the Python code, and must match the value the C program running on the IOP expects for the same function. - -.. code-block:: python - - self.mmio.write(iop_const.MAILBOX_OFFSET+ - iop_const.MAILBOX_PY2IOP_CMD_OFFSET, 3) - -When the IOP is finished, it will write 0x0 to the command area. The Python code now uses mmio.read() to check if the command is still pending (in this case, when the 0x3 value is still present at the ``CMD_OFFSET``). While the command is pending, the Python class blocks. - -.. code-block:: python - - while (self.mmio.read(iop_const.MAILBOX_OFFSET+ - iop_const.MAILBOX_PY2IOP_CMD_OFFSET) == 3): - pass - -Once the command is no longer 0x3, i.e. the acknowledge has been received, the result is read from the ``DATA`` area of the shared memory ``MAILBOX_OFFSET`` using `mmio.read()`. - -.. code-block:: python - - return self.mmio.read(iop_const.MAILBOX_OFFSET) - -Notice the iop_const values are used in these function calls, values that are predefined in ``iop_const.py``. diff --git a/docs/source/9b_base_overlay_video.ipynb b/docs/source/9_base_overlay_video.ipynb similarity index 99% rename from docs/source/9b_base_overlay_video.ipynb rename to docs/source/9_base_overlay_video.ipynb index 7661d4ee98..31bae174e4 100644 --- a/docs/source/9b_base_overlay_video.ipynb +++ b/docs/source/9_base_overlay_video.ipynb @@ -16,16 +16,8 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] - }, - { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, "source": [ - ".. figure:: images/pynqz1_video.JPG \n", - " :align: center" + "![](images/pynqz1_video.JPG)" ] }, { diff --git a/docs/source/9_iop_code.rst b/docs/source/9_iop_code.rst deleted file mode 100755 index 22b1e0e9ea..0000000000 --- a/docs/source/9_iop_code.rst +++ /dev/null @@ -1,381 +0,0 @@ -IO Processors: Writing Your Own Software -======================================== - -There are a number of steps required before you can start writing your own software for an IOP (IO Processor). This document will describe the IOP architecture, and how to set up and build the required software projects to allow you to write your own application for the MicroBlaze inside an IOP. Xilinx SDK projects can be created manually using the SDK GUI, or software can be built using a Makefile flow. - -IO Processors --------------- - -As seen previously, an IOP can be used as a flexible controller for different types of external peripherals. The ARM Cortex-A9 is an application processor, which runs Pynq and Jupyter notebook on a Linux OS. This scenario is not well suited to real-time applications, which is a common requirement for an embedded systems. In the base overlay there are three IOPs. As well as acting as a flexible controller, an IOP can be used as dedicated real-time controller. - -IOPs can also be used standalone to offload some processing from the main processor. However, note that the MicroBlaze processor inside an IOP in the base overlay is running at 100 MHz, compared to the Dual-Core ARM Cortex-A9 running at 650 MHz. The clock speed, and different processor architectures and features should be taken into account when offloading pure application code. e.g. Vector processing on the ARM Cortex-A9 Neon processing unit will be much more efficient than running on the MicroBlaze. The MicroBlaze is most appropriate for low-level, background, or real-time applications. - -There are two types of IOP, a Pmod IOP and an Arduino IOP. - -Previous sections showed the similarities between the Pmod IOP and Arduino IOP. Each IOP contains a `Xilinx MicroBlaze processor `_, a Debug module, and one or more of the following functional units and interface peripherals: - - * `AXI Timer `_ - * `AXI IIC `_ - * `AXI SPI `_ - * `AXI GPIO `_ - -The Arduino also includes a UART, and XADC. - -The interface peripherals are connected to a Configurable Switch. The switch is different for the Pmod and the Arduino IOPs. The Pmod configurable switch connects to a Pmod port, and the Arduino configurable switch connects to an Arduino interface connector. - -Pmod IOP: - - -.. image:: ./images/pmod_iop.jpg - :align: center - - -The IOP's configurable switch can be used to route signals between the physical interface, and the available internal peripherals in the IOP sub-system. - -Software requirements ----------------------------- - -A MicroBlaze cross-compiler is required to build software for the MicroBlaze inside an IOP. Xilinx SDK contains the MicroBlaze cross-compiler and was used to build all Pmod device drivers released with Pynq and is available for free. It should be noted that Pynq ships with precompiled IOP executables to support various peripherals (see `Pynq Modules `_), but that full source code is available from the project GitHub. Xilinx software is only needed if you intend to build your own IOP applications/peripheral drivers. A free, fully functional, version of the Xilinx tools is available for Pynq if required (see the free `Xilinx Vivado WebPack `_ for more details). - -The current Pynq release is built using Vivado and SDK 2016.1. it is recommended to use the same version to rebuild existing Vivado and SDK projects. If you only intend to build software, you will only need to install SDK. The full Vivado and SDK installation is only required to design new overlays. - -`Download Xilinx Vivado and SDK 2016.1 `_ - -You can use the Vivado HLx Web Install Client and select SDK and/or Vivado during the installation. - -Pynq also support building of bitstreams from SDSoC. SDSoC is currently a separate download and installation from the main Vivado/SDK software. - -Compiling projects --------------------------- - -Software executables run on the MicroBlaze inside the IOP. Code for the MicroBlaze can be written in C or C++ and compiled using the `Xilinx SDK (Software Development Kit) `_. - -You can pull or clone the Pynq GitHub repository, and all the driver source and project files can be found in ``\Pynq-Z1\sdk``, (Where ```` is the location of the PYNQ repository). - -These projects are considered SDK *Application* projects and contain the top level application. Each SDK project requires a BSP project (Board Support Package), and a hardware platform project. See below for more details. Software libraries are included in a Board Support Package (BSP) project, and the BSP is linked to from the application project. - -All *Application* projects can be compiled from the command line using Makefiles, or imported into the SDK GUI. - -You can also use existing projects as a starting point to create your own project. - -HDF file -^^^^^^^^ - -Before an Application project and BSP can be created or compiled in SDK, a *Hardware Platform* project is required. A Hardware Platform defines the peripherals in the IOP subsystem, and the memory map of the system, and is used by the BSP to build software libraries to support the underlying hardware. - -A Hardware Description File (.hdf), created by Vivado, is used to create the *Hardware Platfrom* project in SDK. - -A precompiled .hdf file is provided, so it is not necessary to run Vivado to generate a .hdf file: - - ``/Pynq-Z1/sdk/`` - -Board Support Package -^^^^^^^^^^^^^^^^^^^^^ - -The BSP (Board Support Package) contains software libraries and drivers to support the underlying peripherals in the system. - -A BSP must be linked to a Hardware Platform, as this is where the peripherals in the system are defined. An Application Project is then linked to a BSP, and can use the libraries available in the BSP. - -Building the projects -^^^^^^^^^^^^^^^^^^^^^ - -A Makefile to automatically create and build the Hardware Platform and the BSP can be found in the same location as the .hdf file. - - ``/Pynq-Z1/sdk/makefile`` - -Application projects for peripherals that ship with Pynq (e.g. Pmods and Grove peripherals) can also be found in the same location. Each project is contained in a separate folder. - -The Makefile uses the .hdf file to create the Hardware Platform. The BSP can then be created. The application projects will also be compiled automatically as part of this process. - -The Makefile requires SDK to be installed, and can be run from Windows, or Linux. - -To run ``make`` from Windows, open SDK, and choose a temporary workspace (make sure this path is external to the downloaded GitHub repository). From the *Xilinx Tools* menu, select *Launch Shell* - -.. image:: ./images/sdk_launch_shell.jpg - :scale: 75% - :align: center - -In Linux, open a terminal, and source the SDK tools. - -From either the Windows Shell, or the Linux terminal, navigate to the sdk folder in your local copy of the GitHub repository: - - cd to ``/Pynq-Z1/sdk`` and run ``make`` - -.. image:: ./images/sdk_make.JPG - :scale: 75% - :align: center - -.. image:: ./images/sdk_make_result.JPG - :scale: 75% - :align: center - -This will create the Hardware Platform Project (*hw_def*), and the Board Support Package (*bsp*), and then link and build all the application projects. - -If you examine the Makefile, you can see how the *MBBINS* variable at the top of the makefile is used to compile the application projects. If you want to add your own custom project to the build process, you need to add the project name to the *MBBINS* variable, and save the project in the same location as the other application projects. - -Individual projects can be built by navigating to the ``/Debug`` and running ``make``. - -Binary files -^^^^^^^^^^^^^ - -Compiling code produces an executable file (.elf) which needs to be converted to binary format (.bin) to be downloaded to, and run on, an IOP. - -A .bin file can be generated from a .elf by running the following command from the SDK shell: - - ``mb-objcopy -O binary .elf .bin`` - -This is done automatically by the makefile for the existing application projects. The makefile will also copy all .bin files into the ``/Pynq-Z1/sdk/bin`` folder. - -Creating your own Application project -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - -Using the Makefile flow, you can use an existing project as a starting point for your own project. - -Copy and rename the project, and modify or replace the .c file in the src/ with your C code. The generated .bin file will have the same base name as your C file. - -e.g. if your C code is my_peripheral.c, the generated .elf and .bin will be my_peripheral.elf and my_peripheral.bin. - -We encourage the following naming convention for applications _ - -You will need to update references from the old project name to your new project name in ``/Debug/makefile`` and ``/Debug/src/subdir.mk`` - -If you want your project to build in the main Makefile, you should also append the .bin name of your project to the *MBBINS* variable at the top of the makefile. - -If you are using the SDK GUI, you can import the Hardware Platform, BSP, and any application projects into your SDK workspace. - -.. image:: ./images/sdk_import_bsp.JPG - :scale: 75% - :align: center - - -The SDK GUI can be used to build and debug your code. - -IOP Memory ----------- - -The IOP instruction and data memory is implemented in a dual port Block RAM, with one port connected to the IOP, and the other to the ARM processor. This allows an executable binary file to be written from the ARM (i.e. the Pynq environment) to the IOP instruction memory. The IOP can also be reset from Pynq, allowing the IOP to start executing the new program. The IOP data memory is also used as a mailbox for communication and data exchanges between the Pynq environment and the IOP. - - -Memory map ----------- - -The IOP memory is 64KB of shared data and instruction memory. Instruction memory for the IOP starts at address 0x0. -Pynq and the application running on the IOP can write to anywhere in the shared memory space (although care should be taken not to write to the instruction memory unintentionally as this will corrupt the running application). - -When building the MicroBlaze project, the compiler will only ensure that the application and *allocated* stack and heap fit into the BRAM. For communication between the ARM and the MicroBlaze, a part of the shared memory space must also be reserved within the MicroBlaze address space. - -There is no memory management in the IOP. You must ensure the application, including stack and heap, do not overflow into the defined data area. Remember that declaring a stack and heap size only allocates space to the stack and heap. No boundary is created, so if sufficient space was not allocated, the stack and heap may overflow. - -If you need to modify the stack and heap for an application, the linker script can be found in the ``/src/`` directory. - -It is recommended to follow the convention for data communication between the two processors via MAILBOX. These MAILBOX values are defined in the header file. - - - ================================= ======== - Instruction and data memory start 0x0 - Instruction and data memory size 0xf000 - Shared mailbox memory start 0xf000 - Shared mailbox memory size 0x1000 - Shared mailbox Command Address 0xfffc - ================================= ======== - - -The following example explains how Python could initiate a read from a peripheral connected to an IOP. - -1. Python writes a read command (e.g. 0x3) to the mailbox command address (0xfffc). -2. MicroBlaze application checks the command address, and reads and decodes the command. -3. MicroBlaze performs a read from the peripheral and places the data at the mailbox base address (0xf000). -4. MicroBlaze writes 0x0 to the mailbox command address (0xfffc) to confirm transaction is complete. -5. Python checks the command address (0xfffc), and sees that the MicroBlaze has written 0x0, indicating the read is complete, and data is available. -6. Python reads the data in the mailbox base address (0xf000), completing the read. - - -Controlling the Pmod IOP Switch -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - -There are 8 data pins on a Pmod port, that can be connected to any of 16 internal peripheral pins (8x GPIO, 2x SPI, 4x IIC, 2x Timer). - -Each pin can be configured by writing a 4 bit value to the corresponding place in the IOP Switch configuration register. -The following function, part of the provided pmod_io_switch_v1_0 driver (``pmod.h``) can be used to configure the switch. - -.. code-block:: c - - void config_pmod_switch(char pin0, char pin1, char pin2, char pin3, char pin4, \ - char pin5, char pin6, char pin7); - -While each parameter is a "char" only the lower 4-bits are currently used to configure each pin. - -Switch mappings used for IOP Switch configuration: - -======== ======= - Pin Value -======== ======= - GPIO_0 0x0 - GPIO_1 0x1 - GPIO_2 0x2 - GPIO_3 0x3 - GPIO_4 0x4 - GPIO_5 0x5 - GPIO_6 0x6 - GPIO_7 0x7 - SCL 0x8 - SDA 0x9 - SPICLK 0xa - MISO 0xb - MOSI 0xc - SS 0xd - PWM 0xe - TIMER 0xf -======== ======= - -For example, to connect the physical pins GPIO 0-7 to the internal GPIO_0 - GPIO_7: - -.. code-block:: c - - config_pmod_switch(GPIO_0, GPIO_1, GPIO_2, GPIO_3, GPIO_4, \ - GPIO_5, GPIO_6, GPIO_7); - -From Python all the constants and addresses for the IOP can be found in: - - ``/python/pynq/iop/iop_const.py`` - -Note that if two or more pins are connected to the same signal, the pins are OR'd together internally. This is not recommended and should not be done unintentionally. - -Any application that uses the Pmod driver should also call pmod_init() at the beginning of the application. - -Running code on different IOPs ------------------------------------------- - -The shared memory is the only connection between the ARM and the IOPs in the base overlay. The shared memory of a MicroBlaze is mapped to the ARM address space. Some example mappings are shown below to highlight the address translation between MicroBlaze and ARM's memory spaces. - -================= ========================= ============================ -IOP Base Address MicroBlaze Address Space ARM Equivalent Address Space -================= ========================= ============================ -0x4000_0000 0x0000_0000 - 0x0000_ffff 0x4000_0000 - 0x4000_ffff -0x4200_0000 0x0000_0000 - 0x0000_ffff 0x4200_0000 - 0x4200_ffff -0x4400_0000 0x0000_0000 - 0x0000_ffff 0x4400_0000 - 0x4400_ffff -================= ========================= ============================ - -Note that each MicroBlaze has the same range for its address space. However, the location of each IOPs address space in the ARM memory map is different for each IOP. As the address space is the same for each IOP, any binary compiled for one Pmod IOP will work on another Pmod IOP. - -e.g. if IOP1 exists at 0x4000_0000, and IOP2 (a second instance of an IOP) exists at 0x4200_0000, the same binary can run on IOP1 by writing the binary from python to the 0x4000_0000 address space, and on IOP2 by writing to the 0x4200_0000. - - -IOP Application Example ------------------------ - -Taking Pmod ALS as an example IOP driver (used to control the PMOD light sensor), first open the pmod_als.c file: - -``/Pynq-Z1/sdk/pmod_als/src/pmod_als.c`` - -Note that the ``pmod.h`` header file is included. - -Some *COMMANDS* are defined by the user. These values can be chosen to be any value, but must correspond with the Python part of the driver. - -By convention, 0x0 is reserved for no command/idle/acknowledge, and IOP commands can be any non-zero value. - -The ALS peripheral has as SPI interface. Note the user defined function get_sample() which calls an SPI function spi_transfer() call defined in pmod.h. - -In ``main()`` notice ``config_pmod_switch()`` is called to initialize the switch with a static configuration. This means that if you want to use this code with a different pin configuration, the C code must be modified and recompiled. - -Next, the ``while(1)`` loop is entered. In this loop the IOP continually checks the ``MAILBOX_CMD_ADDR`` for a non-zero command. Once a command is received from Python, the command is decoded, and executed. - -Taking the first case, reading a single value: - -.. code-block:: c - - case READ_SINGLE_VALUE: - MAILBOX_DATA(0) = get_sample(); - MAILBOX_CMD_ADDR = 0x0; - -``get_sample()`` is called and a value returned to the first position (0) of the ``MAILBOX_DATA``. - -``MAILBOX_CMD_ADDR`` is reset to zero to acknowledge to the ARM processor that the operation is complete and data is available in the mailbox. - -Examine Python Code -^^^^^^^^^^^^^^^^^^^^ - -With the IOP Driver written, the Python class can be built that will communicate with that IOP. - -``/python/pynq/iop/pmod_als.py`` - -First the MMIO, request_iop, iop_const, PMODA and PMODB are imported. - -.. code-block:: python - - import time - from pynq import MMIO - from pynq.iop import request_iop - from pynq.iop import iop_const - from pynq.iop import PMODA - from pynq.iop import PMODB - - ALS_PROGRAM = "pmod_als.bin" - -The MicroBlaze binary for the IOP is also declared. This is the application executable, and will be loaded into the IOP instruction memory. - - - -The ALS class and an initialization method are defined: - -.. code-block:: python - - class Pmod_ALS(object): - def __init__(self, if_id): - -The initialization function for the module requires an IOP index. For Grove peripherals and the StickIt connector, the StickIt port number can also be used for initialization. The ``__init__`` is called when a module is instantiated. e.g. from Python: - -.. code-block:: python - - from pynq.pmods import Pmod_ALS - als = Pmod_ALS(PMODB) - -Looking further into the initialization method, the ``_iop.request_iop()`` call instantiates an instance of an IOP on the specified pmod_id and loads the MicroBlaze executable (ALS_PROGRAM) into the instruction memory of the appropriate MicroBlaze. - -.. code-block:: python - - self.iop = request_iop(if_id, PMOD_ALS_PROGRAM) - -An MMIO class is also instantiated to enable read and write to the shared memory. - -.. code-block:: python - - self.mmio = self.iop.mmio - -Finally, the iop.start() call pulls the IOP out of reset. After this, the IOP will be running the als.bin executable. - -.. code-block:: python - - self.iop.start() - -Example of Python Class Runtime Methods -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - -The read method in the Pmod_ALS class will simply read an ALS sample and return that value to the caller. The following steps demonstrate a Python to MicroBlaze read transaction specfic to the ALS class. - -.. code-block:: python - - def read(self): - -First, the command is written to the MicroBlaze shared memory using mmio.write(). In this case the value 0x3 represents a read command. This value is user defined in the Python code, and must match the value the C program running on the IOP expects for the same function. - -.. code-block:: python - - self.mmio.write(iop_const.MAILBOX_OFFSET+ - iop_const.MAILBOX_PY2IOP_CMD_OFFSET, 3) - -When the IOP is finished, it will write 0x0 to the command area. The Python code now uses mmio.read() to check if the command is still pending (in this case, when the 0x3 value is still present at the ``CMD_OFFSET``). While the command is pending, the Python class blocks. - -.. code-block:: python - - while (self.mmio.read(iop_const.MAILBOX_OFFSET+ - iop_const.MAILBOX_PY2IOP_CMD_OFFSET) == 3): - pass - -Once the command is no longer 0x3, i.e. the acknowledge has been received, the result is read from the ``DATA`` area of the shared memory ``MAILBOX_OFFSET`` using `mmio.read()`. - -.. code-block:: python - - return self.mmio.read(iop_const.MAILBOX_OFFSET) - -Notice the iop_const values are used in these function calls, values that are predefined in ``iop_const.py``. diff --git a/docs/source/9a_base_overlay_iop.ipynb b/docs/source/9a_base_overlay_iop.ipynb deleted file mode 100644 index d2efed3b68..0000000000 --- a/docs/source/9a_base_overlay_iop.ipynb +++ /dev/null @@ -1,215 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Using Peripherals with the Base overlay " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Base overlay\n", - "\n", - "The PYNQ-Z1 has 2 Pmod connectors. PMODA and PMODB as indicated below are connected to the FPGA fabric. \n", - "\n", - "\n" - ] - }, - { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, - "source": [ - ".. figure:: images/pynqz1_pmod_interface.jpg \n", - " :align: center" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Using Pmods with an overlay\n", - "To use a peripheral two software components are required; a driver application written in C for the IOP, and a Python module. These components are provided as part of the Pynq package for supported peripherals. See the *IO Processors: Writing your own software* section of the documentation for writing drivers for your own peripherals. \n", - "\n", - "The Python module instantiates the peripheral, and loads the driver application to the appropriate IOP. The IOP will also be reset and start executing the new application. \n", - "\n", - "The Python module will send commands which the IOP will interpret and execute. The Python module may also send the data if necessary. The IOP will read from and write data into the shared memory area. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example: Using the OLED and the Ambient Light Sensor (ALS)\n", - "\n", - "This examples requires the PmodOLED (OLED), and PmodALS (Ambient Light Sensor). \n", - "Plug the PmodALS into PMODA, and PmodOLED into the top row of PMODB. (Currently, the PmodALS can only be used in the top row of a Pmod port.)\n", - "\n", - "OLED displaying light reading from ambient light sensor:\n", - "\n" - ] - }, - { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, - "source": [ - ".. figure:: images/als_oled_demo.JPG \n", - " :align: center" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Execute the next cell to load the FPGA fabric with the desired overlay, and then import the OLED module and instantiate it on PMODB:" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from pynq import Overlay\n", - "from pynq.iop import Pmod_OLED\n", - "from pynq.iop import PMODB\n", - "\n", - "ol = Overlay(\"base.bit\")\n", - "ol.download()\n", - "oled = Pmod_OLED(PMODB)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Try writing a message to the OLED." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "oled.write(\"Hello World\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "oled.clear()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Import the ALS library, create an instance of the ALS Pmod, and read the value from the sensor." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from pynq.iop import Pmod_ALS\n", - "from pynq.iop import PMODA\n", - "\n", - "als = Pmod_ALS(PMODA)\n", - "als.read()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Write the value from the ALS to the OLED. The ALS sensor returns an 8-bit value. \n", - "\n", - "* 0 : Darkest\n", - "* 255 : Brightest" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "oled.write(\"Light value : \" + str(als.read()))" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import time\n", - "from pynq.iop import Pmod_ALS\n", - "from pynq.iop import PMODA\n", - "\n", - "als = Pmod_ALS(PMODA)\n", - "\n", - "als.set_log_interval_ms(100)\n", - "als.start_log()\n", - "time.sleep(1)\n", - "als.stop_log()\n", - "als.get_log()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "For information on other supported peripherals and their API, see the *pynq.iop package* section of the documentation." - ] - } - ], - "metadata": { - "celltoolbar": "Raw Cell Format", - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.4.3+" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} \ No newline at end of file diff --git a/docs/source/9c_base_overlay_audio.ipynb b/docs/source/9c_base_overlay_audio.ipynb deleted file mode 100644 index 81b345eb69..0000000000 --- a/docs/source/9c_base_overlay_audio.ipynb +++ /dev/null @@ -1,164 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Audio using the Base Overlay\n", - "\n", - "The PYNQ-Z1 board contains an integrated MIC, and line out connected to a 3.5mm jack. Both these interfaces are connected to the FPGA fabric of the Zynq® chip. The Microphone has a PDM interface, and the line out is a PWM driven mono output. \n", - "\n", - "It is possible to play back audio from the board in a notebook, and to capture audio from other interfaces like HDMI, or a USB audio capture device. This notebook will only consider the MIC and line out interfaces on the board. \n", - "\n", - "The Microphone is integrated onto the board, as indicated in the image below. The MIC hole should not be covered when capturing audio. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - }, - { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, - "source": [ - ".. figure:: images/pynqz1_audio.JPG \n", - " :align: center" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Audio IP in base overlay\n", - "\n", - "To use audio on the PYNQ-Z1, audio controllers must be included in a hardware library or overlay. The *base* overlay contains a the PDM capture and PWM driver for the two audio interfaces as indicated in the image below:\n", - "\n" - ] - }, - { - "cell_type": "raw", - "metadata": { - "raw_mimetype": "text/restructuredtext" - }, - "source": [ - ".. figure:: images/audio_block_diagram.jpg \n", - " :align: center" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The Audio IP in the *base* overlay consists of a PDM block to interface the MIC, and an *Audio Direct* IP block to drive the line out (PWM). There are three multiplexors. This allows the line out to be driven from the PS, or the MIC can be streamed directly to the output. The line out can also be disabled. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Using the MIC\n", - "To use the MIC, first create an instance of the Audio class. The audio class can be used to access both the MIC and the line out. " - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from pynq.drivers import Audio\n", - "audio = Audio()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Capture audio\n", - "\n", - "Capture a 4 second sample from the microphone, and save the raw pdm file to disk:" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Record a sample\n", - "audio.record(4)\n", - "# Save recorded sample\n", - "audio.save(\"Recording_1.pdm\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Playback on the board\n", - "Connect headphones, or speakers to the 3.5mm line out and playback the captured audio:" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Play recorded sample\n", - "audio.play()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can also playback from a pre-recorded pdm file" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Load a sample\n", - "audio.load(\"/home/xilinx/pynq/drivers/tests/pynq_welcome.pdm\")\n", - "# Play loaded sample\n", - "audio.play()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.1" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} \ No newline at end of file diff --git a/docs/source/17_appendix.rst b/docs/source/appendix.rst old mode 100755 new mode 100644 similarity index 98% rename from docs/source/17_appendix.rst rename to docs/source/appendix.rst index d2554779de..ade92070e1 --- a/docs/source/17_appendix.rst +++ b/docs/source/appendix.rst @@ -11,14 +11,16 @@ Technology Backgrounder Overlays and Design Re-use -------------------------- + The 'magic' of mapping an application to an APSoC, without designing custom hardware, is achieved by using *FPGA overlays*. FPGA overlays are FPGA designs that are both highly configurable and highly optimized for a given domain. The availability of a suitable overlay removes the need for a software designer to develop a new bitstream. Software and system designers can customize the functionality of an existing overlay *in software* once the API for the overlay bitstream is available. An FPGA overlay is a domain-specific FPGA design that has been created to be highly configurable so that it can be used in as many different applications as possible. It has been crafted to maximize post-bitstream programmability which is exposed via its API. The API provides a new entry-point for application-focused software and systems engineers to exploit APSoCs in their solutions. With an API they only have to write software to program configure the functions of an overlay for their applications. -By analogy with the Linux kernel and device drivers, FPGA overlays are designed by relatively few engineers so that they can be re-used by many others. In this way, a relatively small number of overlay designers can support a much larger community of APSoC designers. Overlays exist to promote re-use. Like kernels and device drivers, these hardware-level artifacts are not static, but evolve and improve over time. +By analogy with the Linux kernel and device drivers, FPGA overlays are designed by relatively few engineers so that they can be re-used by many others. In this way, a relatively small number of overlay designers can support a much larger community of APSoC designers. Overlays exist to promote re-use. Like kernels and device drivers, these hardware-level artefacts are not static, but evolve and improve over time. Characteristics of Good Overlays ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + Creating one FPGA design and its corresponding API to serve the needs of many applications in a given domain is what defines a successful overlay. This, one-to-many relationship between the overlay and its users, is different from the more common one-to-one mapping between a bitstream and its application. Consider the example of an overlay created for controlling drones. Instead of creating a design that is optimized for controlling just a single type of drone, the hardware architects recognize the many common requirements shared by different drone controllers. They create a design for controlling drones that is a flexible enough to be used with several different drones. In effect, they create a drone-control overlay. They expose, to the users of their bitstream, an API through which the users can determine in software the parameters critical to their application. For example, a drone control overlay might support up to eight, pulse-width-modulated (PWM) motor control circuits. The software programmer can determine how many of the control circuits to enable and how to tune the individual motor control parameters to the needs of his particular drone. @@ -31,7 +33,8 @@ Note that FPGA overlays are not a novel concept. They have been studied for ove The Case for Productivity-layer Languages ----------------------------------------- -Successive generations of All Programmable Systems on Chip embed more processors and greater processing power. As larger applications are integrated into APSoCs, the embedded code increases also. Embedded code that is speed or size critical, will continue to be written in C/C++. These 'efficiency-layer or systems languages' are needed to write fast, low-level drivers, for example. However, the proportion of embedded code that is neither speed-critical or size-critical, is increasing more rapidly. We refer to this braod class of code as *embedded applications code*. + +Successive generations of All Programmable Systems on Chip embed more processors and greater processing power. As larger applications are integrated into APSoCs, the embedded code increases also. Embedded code that is speed or size critical, will continue to be written in C/C++. These 'efficiency-layer or systems languages' are needed to write fast, low-level drivers, for example. However, the proportion of embedded code that is neither speed-critical or size-critical, is increasing more rapidly. We refer to this broad class of code as *embedded applications code*. Programming embedded applications code in higher-level, 'productivity-layer languages' makes good sense. It simply extends the generally-accepted best-practice of always programming at the highest possible level of abstraction. Python is currently a premier productivity-layer language. It is now available in different variants for a range of embedded systems, hence its adoption in Pynq. Pynq runs CPython on Linux on the ARM® processors in Zynq® devices. To further increase productivity and portability, Pynq uses the Jupyter Notebook, an open-source web framework to rapidly develop systems, document their behavior and disseminate the results. @@ -55,7 +58,7 @@ MAC On Mac OS, you can use dd, or the graphical tool ImageWriter to write to your Micro SD card. -* First open a termianl and unzip the image: +* First open a terminal and unzip the image: .. code-block:: console @@ -63,6 +66,7 @@ On Mac OS, you can use dd, or the graphical tool ImageWriter to write to your Mi ImageWriter ^^^^^^^^^^^^^^^^^^ + Note the Micro SD card must be formatted as FAT32. * Insert the Micro SD card into your SD card reader diff --git a/docs/source/changelog.rst b/docs/source/changelog.rst new file mode 100644 index 0000000000..533e3224d3 --- /dev/null +++ b/docs/source/changelog.rst @@ -0,0 +1,90 @@ +************************ +Change log +************************ + +.. contents:: Table of Contents + :depth: 2 + +Version 1.4 +============================ + +Image release: pynq_z1_image_2016_02_10 + +Documentation updated: 10 Feb 2017 + +* Xilinx Linux kernel upgraded to 4.6.0 + +* Added Linux Packages + * Python3.6 + * iwconfig + * iwlist + * microblaze-gcc + +* New Python Packages + * asyncio + * uvloop + * transitions + * pygraphviz + * pyeda + +* Updated Python Pacakges + * pynq + * Jupyter Notebook Extension added + * IPython upgraded to support Python 3.6 + * pip + +* Other changes + * Jupyter extensions + * reveal.js updated + * update_pynq.sh + * wavedrom.js + +* Base overlay changes + * IOP interface to DDR added (Pmod and Arduino IOP) + * Interrupt controller from overlay to PS added. IOP GPIO connected to Interrupt controller. + * Arduino GPIO base address has changed due to merge of GPIO into a single block. `arduino_grove_ledbar` and `arduino_grove_buzzer` compiled binaries are not backward compatible with previous Pynq overlay/image. + +* Pynq API/driver changes + * TraceBuffer: Bit masks are not required. Only pins should be specified. + * PL: ``pl_dict`` returns an integer type for any base addresshttp://pynq.readthedocs.io/en/latest/4_programming_python.html / address range. + * Video: Video mode constants are exposed outside the class. + * Microblaze binaries for IOP updated. + * Xlnk() driver updated, with better support for SDX 2016.3. Removed the customized Xlnk() drivers and use the libsds version. + +* Added new iop modules + * arduino_lcd18 + +* Added Notebooks + * audio (updated) + * arduino_lcd (new) + * utilities (new) + * asyncio (new) + +* Documentation changes + * New section on peripherals and interfaces + * New section on using peripherals in your applications + * New section on Asyncio/Interrupts + * New section on trace buffer + +Version 1.3 +================= + +Image release: pynq_z1_image_2016_09_14 + +Documentation updated: 16 Dec 2016 + +* Added new iop modules to docs + * Arduino Grove Color + * Arduino Grove DLight + * Arduino Grove Ear HR + * Arduino Grove Finger HR + * Arduino Grove Haptic motor + * Arduino Grove TH02 + * Pmod Color + * Pmod DLight + * Pmod Ear HR + * Pmod Finger HR + * Pmod Haptic motor + * Pmod TH02 +* Added USB WiFI driver + \ No newline at end of file diff --git a/docs/source/14_faqs.rst b/docs/source/faqs.rst old mode 100755 new mode 100644 similarity index 97% rename from docs/source/14_faqs.rst rename to docs/source/faqs.rst index 30567760a1..50abebbd47 --- a/docs/source/14_faqs.rst +++ b/docs/source/faqs.rst @@ -33,7 +33,7 @@ or If you can't ping the board, or the host PC, check your network settings. - * You must ensure board your PC and board are connected to the same network, and have IP addresses in the same range. If your network cables is connected directly to your PC/laptop and board, you may need to set a static IP address for your PC/laptop manually. See the `Appendix: Assign your PC/Laptop a static ip address <17_appendix.html#assign-your-laptop-pc-a-static-ip-address>`_ + * You must ensure board your PC and board are connected to the same network, and have IP addresses in the same range. If your network cables is connected directly to your PC/laptop and board, you may need to set a static IP address for your PC/laptop manually. See the `Appendix: Assign your PC/Laptop a static ip address `_ * If you have a proxy setup, you may need to add a rule to bypass the board hostname/ip address. @@ -79,7 +79,7 @@ If you are connecting your board to your network (i.e. you have plugged the Ethe If you connect your board directly to your computer with an ethernet cable, then you need to make sure that they have IP addresses in the same range. The board will assign itself a static IP address (by default 192.168.2.99), and you will need to assign a static IP address in the same range to the computer. This allows your computer and board to communicate to each other over the Ethernet cable. -See the `Appendix: Assign your PC/Laptop a static ip address <17_appendix.html#assign-your-laptop-pc-a-static-ip-address>`_ +See the `Appendix: Assign your PC/Laptop a static ip address `_ I can't connect to the Jupyter portal ======================================= @@ -218,7 +218,7 @@ You can `Download the PYNQ-Z1 image `_ +You can find instructions in the `Appendix: Writing the SD card image `_ What type of Micro SD card do I need? ========================================= diff --git a/docs/source/15_glossary.rst b/docs/source/glossary.rst old mode 100755 new mode 100644 similarity index 83% rename from docs/source/15_glossary.rst rename to docs/source/glossary.rst index 652730f2ec..6424034e87 --- a/docs/source/15_glossary.rst +++ b/docs/source/glossary.rst @@ -39,7 +39,7 @@ H-R Input/Output Processors Jupyter (Notebooks) - `Jupyter `_ is an open source project consisting of an interactive, web application that allows users to create and share notebook documents that contain live code and the full range of rich media supported by modern browsers. These include text, images, videos, LaTeX-styled equations, and interactive widgets. The Jupyter framework is used as a front-end to over 40 different programming languages. It originated from the interactive data science and scientific computing communities. Its uses include: data cleaning and transformation, numerical simulation, statistical modelling, machine learning and much more. + `Jupyter `_ is an open source project consisting of an interactive, web application that allows users to create and share notebook documents that contain live code and the full range of rich media supported by modern browsers. These include text, images, videos, LaTeX-styled equations, and interactive widgets. The Jupyter framework is used as a front-end to over 40 different programming languages. It originated from the interactive data science and scientific computing communities. Its uses include: data cleaning and transformation, numerical simulation, statistical modelling, machine learning and much more. MicroBlaze @@ -47,7 +47,7 @@ H-R Pmod Interface - The Pmod or `Peripheral Module `_ interface is used to connect low frequency, low I/O pin count peripheral modules to host controller boards.accessory boards to add functionality to the platform. e.g. ADC, DAC, I/O interfaces, sensors etc. + The Pmod or `Peripheral Module `_ interface is used to connect low frequency, low I/O pin count peripheral modules to host controller boards.accessory boards to add functionality to the platform. e.g. ADC, DAC, I/O interfaces, sensors etc. (Micro) SD Secure Digital (Memory Card standard) diff --git a/docs/source/images/arduino_iop.jpg b/docs/source/images/arduino_iop.jpg index 5b978c6a7c..5708f05413 100755 Binary files a/docs/source/images/arduino_iop.jpg and b/docs/source/images/arduino_iop.jpg differ diff --git a/docs/source/images/change_hostname.jpg b/docs/source/images/change_hostname.jpg index 55e601d760..141b165d82 100644 Binary files a/docs/source/images/change_hostname.jpg and b/docs/source/images/change_hostname.jpg differ diff --git a/docs/source/images/dashboard_files_tab.png b/docs/source/images/dashboard_files_tab.png index 5ce868f0ff..d1153339e0 100755 Binary files a/docs/source/images/dashboard_files_tab.png and b/docs/source/images/dashboard_files_tab.png differ diff --git a/docs/source/images/dashboard_files_tab_btns.png b/docs/source/images/dashboard_files_tab_btns.png index b76af88e3c..ed2d11bf10 100755 Binary files a/docs/source/images/dashboard_files_tab_btns.png and b/docs/source/images/dashboard_files_tab_btns.png differ diff --git a/docs/source/images/dashboard_files_tab_run.png b/docs/source/images/dashboard_files_tab_run.png index 4c7eb327d7..733245ed15 100755 Binary files a/docs/source/images/dashboard_files_tab_run.png and b/docs/source/images/dashboard_files_tab_run.png differ diff --git a/docs/source/images/example_notebooks.jpg b/docs/source/images/example_notebooks.jpg index d55dc1a0b8..63d55bf7db 100755 Binary files a/docs/source/images/example_notebooks.jpg and b/docs/source/images/example_notebooks.jpg differ diff --git a/docs/source/images/pmod_iop.jpg b/docs/source/images/pmod_iop.jpg index 0a17d76399..fef99c3334 100755 Binary files a/docs/source/images/pmod_iop.jpg and b/docs/source/images/pmod_iop.jpg differ diff --git a/docs/source/images/portal_homepage.jpg b/docs/source/images/portal_homepage.jpg index 0049ddacbc..aecd91bea5 100755 Binary files a/docs/source/images/portal_homepage.jpg and b/docs/source/images/portal_homepage.jpg differ diff --git a/docs/source/images/pynqz1_base_overlay.png b/docs/source/images/pynqz1_base_overlay.png index 70d78a0068..c627f61d9c 100755 Binary files a/docs/source/images/pynqz1_base_overlay.png and b/docs/source/images/pynqz1_base_overlay.png differ diff --git a/docs/source/images/pynqz1_base_overlay_intc_pin.png b/docs/source/images/pynqz1_base_overlay_intc_pin.png new file mode 100644 index 0000000000..c627f61d9c Binary files /dev/null and b/docs/source/images/pynqz1_base_overlay_intc_pin.png differ diff --git a/docs/source/images/trace_buffer.jpg b/docs/source/images/trace_buffer.jpg new file mode 100644 index 0000000000..de15c3fd1c Binary files /dev/null and b/docs/source/images/trace_buffer.jpg differ diff --git a/docs/source/index.rst b/docs/source/index.rst index 0d43a36a51..b6bf79ec41 100755 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -9,26 +9,33 @@ Python productivity for Zynq (Pynq) Documentation .. toctree:: :maxdepth: 2 + 0_whats_new 1_getting_started 2_pynq 3_jupyter_notebook 4_programming_python 5_programming_onboard 6_overlays - 7_iop_architecture - 8_iop_code - 9a_base_overlay_iop - 9b_base_overlay_video - 9c_base_overlay_audio - 10_creating_overlays - 11_python_package - 12_verification + 7_peripherals + 8_base_overlay_iop + 9_base_overlay_video + 10_base_overlay_audio + 11a_iop_architecture + 11b_iop_applications + 11c_iop_using_peripherals + 13a_interrupts + #13b_base_overlay_interrupts + #14_tracebuffer + #15_data_transfer + 16_creating_overlays + 17_python_package modules - 14_faqs - 15_glossary - 16_references - 17_appendix - 18_changelog + 18_verification + faqs + glossary + references + appendix + changelog Indices and tables ================== diff --git a/docs/source/pynq.drivers.rst b/docs/source/pynq.drivers.rst index fc5006ff75..a80f8c61c2 100755 --- a/docs/source/pynq.drivers.rst +++ b/docs/source/pynq.drivers.rst @@ -43,12 +43,5 @@ pynq.drivers.video module :members: :undoc-members: :show-inheritance: - -pynq.drivers.xlnk module -------------------------- -.. automodule:: pynq.drivers.xlnk - :members: - :undoc-members: - :show-inheritance: diff --git a/docs/source/pynq.rst b/docs/source/pynq.rst index 58d053a1ba..0c7cec783c 100755 --- a/docs/source/pynq.rst +++ b/docs/source/pynq.rst @@ -43,3 +43,13 @@ pynq.pl module :members: :undoc-members: :show-inheritance: + + +pynq.xlnk module +------------------------- + +.. automodule:: pynq.xlnk + :members: + :undoc-members: + :show-inheritance: + \ No newline at end of file diff --git a/docs/source/16_references.rst b/docs/source/references.rst old mode 100755 new mode 100644 similarity index 97% rename from docs/source/16_references.rst rename to docs/source/references.rst index 3ebdb0ffc8..45cde26c45 --- a/docs/source/16_references.rst +++ b/docs/source/references.rst @@ -8,7 +8,6 @@ Useful Reference Links Git === * `Interactive introduction to Git `_ -* `Extensive set of tutorials on Git `_ * `Free PDF copy of The Pro Git book by Scott Chacon and Ben Straub `_ Jupyter diff --git a/docs/source/temp/3_jupyter_notebook.tmp b/docs/source/temp/3_jupyter_notebook.tmp deleted file mode 100755 index 8b5c6d1e0a..0000000000 --- a/docs/source/temp/3_jupyter_notebook.tmp +++ /dev/null @@ -1,938 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "# Introduction to Jupyter Notebook" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Acknowledgements" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The material in this tutorial is specific to Pynq. Wherever possible, however, it re-uses generic documentation describing Jupyter notebooks. In particular, we have re-used content from the following example notebooks:\n", - "\n", - "1. What is the Jupyter Notebook?\n", - "1. Notebook Basics\n", - "1. Running Code\n", - "1. Markdown Cells\n", - "\n", - "The original notebooks and further example notebooks are available at [Jupyter documentation](http://jupyter-notebook.readthedocs.io/en/latest/examples/Notebook/examples_index.html)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Introduction" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you are reading this documentation from the webpage, you should note that the webpage is a static html version of the notebook from which it was generated. If the Pynq platform is available, you can open this notebook from the Getting_Started folder in the Pynq portal. \n", - "\n", - "The Jupyter Notebook is an **interactive computing environment** that enables users to author notebook documents that include: \n", - "- Live code\n", - "- Interactive widgets\n", - "- Plots\n", - "- Narrative text\n", - "- Equations\n", - "- Images\n", - "- Video\n", - "\n", - "These documents provide a **complete and self-contained record of a computation** that can be converted to various formats and shared with others using email, [Dropbox](http://dropbox.com), version control systems (like git/[GitHub](http://github.com)) or [nbviewer.jupyter.org](http://nbviewer.jupyter.org)." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "### Components" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The Jupyter Notebook combines three components:\n", - "\n", - "* **The notebook web application**: An interactive web application for writing and running code interactively and authoring notebook documents.\n", - "* **Kernels**: Separate processes started by the notebook web application that runs users' code in a given language and returns output back to the notebook web application. The kernel also handles things like computations for interactive widgets, tab completion and introspection. \n", - "* **Notebook documents**: Self-contained documents that contain a representation of all content in the notebook web application, including inputs and outputs of the computations, narrative\n", - "text, equations, images, and rich media representations of objects. Each notebook document has its own kernel." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "### Notebook web application" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The notebook web application enables users to:\n", - "\n", - "* **Edit code in the browser**, with automatic syntax highlighting, indentation, and tab completion/introspection.\n", - "* **Run code from the browser**, with the results of computations attached to the code which generated them.\n", - "* See the results of computations with **rich media representations**, such as HTML, LaTeX, PNG, SVG, PDF, etc.\n", - "* Create and use **interactive JavaScript widgets**, which bind interactive user interface controls and visualizations to reactive kernel side computations.\n", - "* Author **narrative text** using the [Markdown](https://daringfireball.net/projects/markdown/) markup language.\n", - "* Build **hierarchical documents** that are organized into sections with different levels of headings.\n", - "* Include mathematical equations using **LaTeX syntax in Markdown**, which are rendered in-browser by [MathJax](http://www.mathjax.org/)." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "### Kernels" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The Notebook supports a range of different programming languages. For each notebook that a user opens, the web application starts a kernel that runs the code for that notebook. Each kernel is capable of running code in a single programming language. There are kernels available in the following languages:\n", - "\n", - "* Python(https://github.com/ipython/ipython)\n", - "* Julia (https://github.com/JuliaLang/IJulia.jl)\n", - "* R (https://github.com/takluyver/IRkernel)\n", - "* Ruby (https://github.com/minrk/iruby)\n", - "* Haskell (https://github.com/gibiansky/IHaskell)\n", - "* Scala (https://github.com/Bridgewater/scala-notebook)\n", - "* node.js (https://gist.github.com/Carreau/4279371)\n", - "* Go (https://github.com/takluyver/igo)\n", - "\n", - "The default kernel runs Python code which is the language Pynq is based on. \n", - "\n", - "Kernels communicate with the notebook web application and web browser using a JSON over ZeroMQ/WebSockets message protocol that is described [here](http://ipython.org/ipython-doc/dev/development/messaging.html). Most users don't need to know about these details, but it helps to understand that \"kernels run code.\"" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "## Notebook documents" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Notebook documents contain the **inputs and outputs** of an interactive session as well as **narrative text** that accompanies the code but is not meant for execution. **Rich output** generated by running code, including HTML, images, video, and plots, is embedded in the notebook, which makes it a complete and self-contained record of a computation. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "When you run the notebook web application on your computer, notebook documents are just **files** on your local filesystem with a **`.ipynb`** extension. This allows you to use familiar workflows for organizing your notebooks into folders and sharing them with others." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Notebooks consist of a **linear sequence of cells**. There are four basic cell types:\n", - "\n", - "* **Code cells:** Input and output of live code that is run in the kernel\n", - "* **Markdown cells:** Narrative text with embedded LaTeX equations\n", - "* **Heading cells:** Deprecated. Headings are supported in Markdown cells\n", - "* **Raw cells:** Unformatted text that is included, without modification, when notebooks are converted to different formats using nbconvert\n", - "\n", - "Internally, notebook documents are [JSON](http://en.wikipedia.org/wiki/JSON) data with binary values [base64](http://en.wikipedia.org/wiki/Base64) encoded. This allows them to be **read and manipulated programmatically** by any programming language. Because JSON is a text format, notebook documents are version control friendly.\n", - "\n", - "**Notebooks can be exported** to different static formats including HTML, reStructeredText, LaTeX, PDF, and slide shows ([reveal.js](http://lab.hakim.se/reveal-js/#/)) using Jupyter's `nbconvert` utility. Some of documentation for Pynq, including this page, was written in a Notebook and converted to html for hosting on the project's documentation website. \n", - "\n", - "Furthermore, any notebook document available from a **public URL or on GitHub can be shared** via [nbviewer](http://nbviewer.ipython.org). This service loads the notebook document from the URL and renders it as a static web page. The resulting web page may thus be shared with others **without their needing to install the Jupyter Notebook**.\n", - "\n", - "GitHub also renders notebooks, so any Notebook added to GitHub can be viewed as intended. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Notebook Basics" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### The Notebook dashboard" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The Notebook server runs on the ARM processor of the PYNQ-Z1. You can open the notebook dashboard by navigating to [pynq:9090](http://pynq:9090) when your board is connected to the network. \n", - "The dashboard serves as a home page for notebooks. Its main purpose is to display the notebooks and files in the current directory. For example, here is a screenshot of the dashboard page for the `Examples` directory in the Jupyter repository:\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The top of the notebook list displays clickable breadcrumbs of the current directory. By clicking on these breadcrumbs or on sub-directories in the notebook list, you can navigate your filesystem.\n", - "\n", - "To create a new notebook, click on the \"New\" button at the top of the list and select a kernel from the dropdown (as seen below). \n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Notebooks and files can be uploaded to the current directory by dragging a notebook file onto the notebook list or by the \"click here\" text above the list.\n", - "\n", - "The notebook list shows green \"Running\" text and a green notebook icon next to running notebooks (as seen below). Notebooks remain running until you explicitly shut them down; closing the notebook's page is not sufficient.\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To shutdown, delete, duplicate, or rename a notebook check the checkbox next to it and an array of controls will appear at the top of the notebook list (as seen below). You can also use the same operations on directories and files when applicable.\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To see all of your running notebooks along with their directories, click on the \"Running\" tab:\n", - "\n", - "\n", - "\n", - "This view provides a convenient way to track notebooks that you start as you navigate the filesystem in a long running notebook server." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Overview of the Notebook UI" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you create a new notebook or open an existing one, you will be taken to the notebook user interface (UI). This UI allows you to run code and author notebook documents interactively. The notebook UI has the following main areas:\n", - "\n", - "* Menu\n", - "* Toolbar\n", - "* Notebook area and cells\n", - "\n", - "The notebook has an interactive tour of these elements that can be started in the \"Help:User Interface Tour\" menu item." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Modal editor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The Jupyter Notebook has a modal user interface which means that the keyboard does different things depending on which mode the Notebook is in. There are two modes: edit mode and command mode." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Edit mode" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Edit mode is indicated by a green cell border and a prompt showing in the editor area:\n", - "\n", - "\n", - "\n", - "When a cell is in edit mode, you can type into the cell, like a normal text editor." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Enter edit mode by pressing `Enter` or using the mouse to click on a cell's editor area.\n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Command mode" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Command mode is indicated by a grey cell border with a blue left margin:\n", - "\n", - "\n", - "\n", - "When you are in command mode, you are able to edit the notebook as a whole, but not type into individual cells. Most importantly, in command mode, the keyboard is mapped to a set of shortcuts that let you perform notebook and cell actions efficiently. For example, if you are in command mode and you press `c`, you will copy the current cell - no modifier is needed." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Don't try to type into a cell in command mode; unexpected things will happen!\n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Enter command mode by pressing `Esc` or using the mouse to click *outside* a cell's editor area.\n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Mouse navigation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All navigation and actions in the Notebook are available using the mouse through the menubar and toolbar, both of which are above the main Notebook area:\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Cells can be selected by clicking on them with the mouse. The currently selected cell gets a grey or green border depending on whether the notebook is in edit or command mode. If you click inside a cell's editor area, you will enter edit mode. If you click on the prompt or output area of a cell you will enter command mode.\n", - "\n", - "If you are running this notebook in a live session on the PYNQ-Z1, try selecting different cells and going between edit and command mode. Try typing into a cell." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you want to run the code in a cell, you would select it and click the `play` button in the toolbar, the \"Cell:Run\" menu item, or type Ctrl + Enter. Similarly, to copy a cell you would select it and click the `copy` button in the toolbar or the \"Edit:Copy\" menu item. Ctrl + C, V are also supported.\n", - "\n", - "Markdown and heading cells have one other state that can be modified with the mouse. These cells can either be rendered or unrendered. When they are rendered, you will see a nice formatted representation of the cell's contents. When they are unrendered, you will see the raw text source of the cell. To render the selected cell with the mouse, and execute it. (Click the `play` button in the toolbar or the \"Cell:Run\" menu item, or type Ctrl + Enter. To unrender the selected cell, double click on the cell." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Keyboard Navigation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There are two different sets of keyboard shortcuts: one set that is active in edit mode and another in command mode.\n", - "\n", - "The most important keyboard shortcuts are `Enter`, which enters edit mode, and `Esc`, which enters command mode.\n", - "\n", - "In edit mode, most of the keyboard is dedicated to typing into the cell's editor. Thus, in edit mode there are relatively few shortcuts. In command mode, the entire keyboard is available for shortcuts, so there are many more. The `Help`->`Keyboard Shortcuts` dialog lists the available shortcuts." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Some of the most useful shortcuts are:\n", - "\n", - "1. Basic navigation: `enter`, `shift-enter`, `up/k`, `down/j`\n", - "2. Saving the notebook: `s`\n", - "2. Change Cell types: `y`, `m`, `1-6`, `t`\n", - "3. Cell creation: `a`, `b`\n", - "4. Cell editing: `x`, `c`, `v`, `d`, `z`\n", - "5. Kernel operations: `i`, `0` (press twice)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Running Code" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First and foremost, the Jupyter Notebook is an interactive environment for writing and running code. The notebook is capable of running code in a wide range of languages. However, each notebook is associated with a single kernel. Pynq, and this notebook is associated with the IPython kernel, which runs Python code." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Code cells allow you to enter and run code" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Run a code cell using `Shift-Enter` or pressing the `play` button in the toolbar above. The button displays *run cell, select below* when you hover over it." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "a = 10" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "10\n" - ] - } - ], - "source": [ - "print(a)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There are two other keyboard shortcuts for running code:\n", - "\n", - "* `Alt-Enter` runs the current cell and inserts a new one below.\n", - "* `Ctrl-Enter` run the current cell and enters command mode." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Managing the Kernel" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Code is run in a separate process called the Kernel. The Kernel can be interrupted or restarted. Try running the following cell and then hit the `stop` button in the toolbar above. The button displays *interrupt kernel* when you hover over it." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import time\n", - "time.sleep(10)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Cell menu" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The \"Cell\" menu has a number of menu items for running code in different ways. These includes:\n", - "\n", - "* Run and Select Below\n", - "* Run and Insert Below\n", - "* Run All\n", - "* Run All Above\n", - "* Run All Below" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Restarting the kernels" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The kernel maintains the state of a notebook's computations. You can reset this state by restarting the kernel. This is done from the menu bar, or by clicking on the corresponding button in the toolbar." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### sys.stdout " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The stdout and stderr streams are displayed as text in the output area." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "print(\"Hello from Pynq!\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Output is asynchronous" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All output is displayed asynchronously as it is generated in the Kernel. If you execute the next cell, you will see the output one piece at a time, not all at the end." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import time, sys\n", - "for i in range(8):\n", - " print(i)\n", - " time.sleep(0.5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Large outputs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To better handle large outputs, the output area can be collapsed. Run the following cell and then single- or double- click on the active area to the left of the output:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false, - "scrolled": true - }, - "outputs": [], - "source": [ - "for i in range(50):\n", - " print(i)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Markdown" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Text can be added to Jupyter Notebooks using Markdown cells. Markdown is a popular markup language that is a superset of HTML. Its specification can be found here:\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Markdown basics" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can make text *italic* or **bold**." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can build nested itemized or enumerated lists:\n", - "\n", - "* One\n", - " - Sublist\n", - " - This\n", - " - Sublist\n", - " - That\n", - " - The other thing\n", - "* Two\n", - " - Sublist\n", - "* Three\n", - " - Sublist\n", - "\n", - "Now another list:\n", - "\n", - "1. Here we go\n", - " 1. Sublist\n", - " 2. Sublist\n", - "2. There we go\n", - "3. Now this" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can add horizontal rules:\n", - "\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here is a blockquote:\n", - "\n", - "> Beautiful is better than ugly.\n", - "> Explicit is better than implicit.\n", - "> Simple is better than complex.\n", - "> Complex is better than complicated.\n", - "> Flat is better than nested.\n", - "> Sparse is better than dense.\n", - "> Readability counts.\n", - "> Special cases aren't special enough to break the rules.\n", - "> Although practicality beats purity.\n", - "> Errors should never pass silently.\n", - "> Unless explicitly silenced.\n", - "> In the face of ambiguity, refuse the temptation to guess.\n", - "> There should be one-- and preferably only one --obvious way to do it.\n", - "> Although that way may not be obvious at first unless you're Dutch.\n", - "> Now is better than never.\n", - "> Although never is often better than *right* now.\n", - "> If the implementation is hard to explain, it's a bad idea.\n", - "> If the implementation is easy to explain, it may be a good idea.\n", - "> Namespaces are one honking great idea -- let's do more of those!" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "And shorthand for links:\n", - "\n", - "[Jupyter's website](http://jupyter.org)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Headings" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can add headings by starting a line with one (or multiple) `#` followed by a space, as in the following example:\n", - "\n", - "```\n", - "# Heading 1\n", - "# Heading 2\n", - "## Heading 2.1\n", - "## Heading 2.2\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Embedded code" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can embed code meant for illustration instead of execution in Python:\n", - "\n", - " def f(x):\n", - " \"\"\"a docstring\"\"\"\n", - " return x**2\n", - "\n", - "or other languages:\n", - "\n", - " if (i=0; i\n", - " ```python\n", - " print \"Hello World\"\n", - " ```\n", - " \n", - "\n", - " 
\n",
-    "    ```javascript\n",
-    "    console.log(\"Hello World\")\n",
-    "    ```\n",
-    "
\n", - "\n", - "Gives:\n", - "\n", - "```python\n", - "print \"Hello World\"\n", - "```\n", - "\n", - "```javascript\n", - "console.log(\"Hello World\")\n", - "```\n", - "\n", - "And a table like this: \n", - "\n", - " 
\n",
-    "    ```\n",
-    "\n",
-    "    | This | is   |\n",
-    "    |------|------|\n",
-    "    |   a  | table| \n",
-    "\n",
-    "    ```\n",
-    "
\n", - "\n", - "A nice HTML Table:\n", - "\n", - "| This | is |\n", - "|------|------|\n", - "| a | table| \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### General HTML" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Because Markdown is a superset of HTML you can even add things like HTML tables:\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
Header 1Header 2
row 1, cell 1row 1, cell 2
row 2, cell 1row 2, cell 2
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Local files" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you have local files in your Notebook directory, you can refer to these files in Markdown cells directly:\n", - "\n", - " [subdirectory/]\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Security of local files" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that this means that the Jupyter notebook server also acts as a generic file server\n", - "for files inside the same tree as your notebooks. Access is not granted outside the\n", - "notebook folder so you have strict control over what files are visible, but for this\n", - "reason it is highly recommended that you do not run the notebook server with a notebook\n", - "directory at a high level in your filesystem (e.g. your home directory).\n", - "\n", - "When you run the notebook in a password-protected manner, local file access is restricted\n", - "to authenticated users unless read-only views are active." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.5.1" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/docs/source/temp/4_programming_python.tmp b/docs/source/temp/4_programming_python.tmp deleted file mode 100755 index cd7e4863d1..0000000000 --- a/docs/source/temp/4_programming_python.tmp +++ /dev/null @@ -1,542 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Cortex-A9 programming in Python" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We show here an example of how to run Python with Pynq. Python is running exclusively on the ARM Cortex-A9 processor. This example, which is based on calculating the factors and primes of integer numbers, give us a sense of the performance available when running on a 650MHz ARM Cortex-A9 dual core processor running Linux.\n", - "\n", - "## The factors and primes example\n", - "Code is provided in the cell below for a function to calculate factors and primes. It contains some sample functions to calculate the factors and primes of integers. We will use three functions from the factors_and_primes module to demonstrate Python programming. " - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "\"\"\"Factors-and-primes functions.\n", - "\n", - "Find factors or primes of integers, int ranges and int lists\n", - "and sets of integers with most factors in a given integer interval\n", - "\n", - "\"\"\"\n", - "\n", - "from pprint import pprint\n", - "\n", - "def factorize(n):\n", - " \"\"\"Calculate all factors of integer n.\n", - " \n", - " Parameters\n", - " ----------\n", - " n : int\n", - " integer to factorize.\n", - " \n", - " Returns\n", - " -------\n", - " list\n", - " A sorted set of integer factors of n.\n", - " \n", - " \"\"\"\n", - " factors = []\n", - " if isinstance(n, int) and n > 0:\n", - " if n == 1:\n", - " factors.append(n)\n", - " return factors\n", - " else:\n", - " for x in range(1, int(n**0.5)+1):\n", - " if n % x == 0:\n", - " factors.append(x)\n", - " factors.append(n//x)\n", - " return sorted(set(factors))\n", - " else:\n", - " print('factorize ONLY computes with one integer argument > 0')\n", - "\n", - "\n", - "def primes_between(interval_min, interval_max):\n", - " \"\"\"Find all primes in the interval.\n", - " \n", - " The interval is defined by interval_min and interval_max.\n", - " \n", - " Parameters\n", - " ----------\n", - " interval_min : int\n", - " Start of the integer range.\n", - " interval_max : int\n", - " End of the integer range.\n", - " \n", - " Returns\n", - " -------\n", - " list\n", - " A sorted set of integer primes in original range.\n", - " \n", - " \"\"\"\n", - " primes = []\n", - " if (isinstance(interval_min, int) and interval_min > 0 and \n", - " isinstance(interval_max, int) and interval_max > interval_min):\n", - " if interval_min == 1:\n", - " primes = [1]\n", - " for i in range(interval_min, interval_max):\n", - " if len(factorize(i)) == 2:\n", - " primes.append(i)\n", - " return sorted(primes)\n", - " else:\n", - " print('primes_between ONLY computes over the specified range.')\n", - "\n", - " \n", - "def primes_in(integer_list):\n", - " \"\"\"Calculate all unique prime numbers.\n", - " \n", - " Calculate the prime numbers in a list of integers.\n", - "\n", - " Parameters\n", - " ----------\n", - " integer_list : list\n", - " A list of integers to test for primality.\n", - " \n", - " Returns\n", - " -------\n", - " list\n", - " A sorted set of integer primes from original list.\n", - " \n", - " \"\"\"\n", - " primes = []\n", - " try:\n", - " for i in (integer_list):\n", - " if len(factorize(i)) == 2:\n", - " primes.append(i)\n", - " return sorted(set(primes))\n", - " except TypeError:\n", - " print('primes_in ONLY computes over lists of integers.')\n", - "\n", - "\n", - "def get_ints_with_most_factors(interval_min, interval_max):\n", - " \"\"\"Finds the integers with the most factors.\n", - " \n", - " Find the integer or integers with the most factors in a given \n", - " integer range.\n", - " \n", - " The returned result is a list of tuples, where each tuple is:\n", - " [no_with_most_factors (int), no_of_factors (int), \n", - " factors (int list)].\n", - " \n", - " Parameters\n", - " ----------\n", - " interval_min : int\n", - " Start of the integer range.\n", - " interval_max : int\n", - " End of the integer range.\n", - " \n", - " Returns\n", - " -------\n", - " list\n", - " A list of tuples showing the results.\n", - " \n", - " \"\"\"\n", - " max_no_of_factors = 1\n", - " all_ints_with_most_factors = []\n", - " \n", - " #: Find the lowest number with most factors between i_min and i_max\n", - " if interval_check(interval_min, interval_max):\n", - " for i in range(interval_min, interval_max):\n", - " factors_of_i = factorize(i)\n", - " no_of_factors = len(factors_of_i) \n", - " if no_of_factors > max_no_of_factors:\n", - " max_no_of_factors = no_of_factors\n", - " results = (i, max_no_of_factors, factors_of_i,\\\n", - " primes_in(factors_of_i))\n", - " all_ints_with_most_factors.append(results)\n", - " \n", - " #: Find any larger numbers with an equal number of factors\n", - " for i in range(all_ints_with_most_factors[0][0]+1, interval_max):\n", - " factors_of_i = factorize(i)\n", - " no_of_factors = len(factors_of_i) \n", - " if no_of_factors == max_no_of_factors:\n", - " results = (i, max_no_of_factors, factors_of_i, \\\n", - " primes_in(factors_of_i))\n", - " all_ints_with_most_factors.append(results)\n", - " return all_ints_with_most_factors \n", - " else:\n", - " print_error_msg() \n", - "\n", - " \n", - "def print_ints_with_most_factors(interval_min, interval_max):\n", - " \"\"\"Reports integers with most factors in a given integer range.\n", - " \n", - " The results can consist of the following: \n", - " 1. All the integers with the most factors\n", - " 2. The number of factors\n", - " 3. The actual factors of each of the integers\n", - " 4. Any prime numbers in the list of factors\n", - " \n", - " Parameters\n", - " ----------\n", - " interval_min : int\n", - " Start of the integer range.\n", - " interval_max : int\n", - " End of the integer range.\n", - " \n", - " Returns\n", - " -------\n", - " list\n", - " A list of tuples showing the integers and factors.\n", - " \n", - " \"\"\"\n", - " if interval_check(interval_min, interval_max):\n", - " print('\\nBetween {} and {} the number/s with the most factors:\\n'.\n", - " format(interval_min, interval_max))\n", - " for results in (get_ints_with_most_factors(\n", - " interval_min, interval_max)):\n", - " print('{} ... with the following {} factors:'\n", - " .format(results[0], results[1]))\n", - " pprint(results[2])\n", - " print('The prime number factors of {} are:'\n", - " .format(results[0]))\n", - " pprint(results[3])\n", - " else:\n", - " print_error_msg()\n", - "\n", - " \n", - "def interval_check(interval_min, interval_max):\n", - " \"\"\"Check type and range of integer interval.\n", - " \n", - " Parameters\n", - " ----------\n", - " interval_min : int\n", - " Start of the integer range.\n", - " interval_max : int\n", - " End of the integer range.\n", - " \n", - " Returns\n", - " -------\n", - " None\n", - " \n", - " \"\"\"\n", - " if (isinstance(interval_min, int) and interval_min > 0 and \n", - " isinstance(interval_max, int) and interval_max > interval_min):\n", - " return True\n", - " else:\n", - " return False\n", - "\n", - "def print_error_msg():\n", - " \"\"\"Print invalid integer interval error message.\n", - " \n", - " Returns\n", - " -------\n", - " None\n", - " \n", - " \"\"\"\n", - " print('ints_with_most_factors ONLY computes over integer intervals where'\n", - " ' interval_min <= int_with_most_factors < interval_max and'\n", - " ' interval_min >= 1')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next we will call the factorize() function to calculate the factors of an integer." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[1, 2, 13, 26, 41, 82, 533, 1066]" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "factorize(1066)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The primes_between() function can tell us how many prime numbers there are in an integer range. Let’s try it for the interval 1 through 1066. We can also use one of Python’s built-in methods len() to count them all." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "180" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(primes_between(1, 1066))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Additionally, we can combine len() with another built-in method, sum(), to calculate the average of the 180 prime numbers." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "486.2055555555556" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "primes_1066 = primes_between(1, 1066)\n", - "primes_1066_average = sum(primes_1066) / len(primes_1066)\n", - "primes_1066_average" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This result makes sense intuitively because prime numbers are known to become less frequent for larger number intervals. These examples demonstrate how Python treats functions as first-class objects so that functions may be passed as parameters to other functions. This is a key property of functional programming and demonstrates the power of Python.\n", - "\n", - "In the next code snippet, we can use list comprehensions (a ‘Pythonic’ form of the map-filter-reduce template) to ‘mine’ the factors of 1066 to find those factors that end in the digit ‘3’." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false, - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[3,\n", - " 13,\n", - " 23,\n", - " 43,\n", - " 53,\n", - " 73,\n", - " 83,\n", - " 103,\n", - " 113,\n", - " 163,\n", - " 173,\n", - " 193,\n", - " 223,\n", - " 233,\n", - " 263,\n", - " 283,\n", - " 293,\n", - " 313,\n", - " 353,\n", - " 373,\n", - " 383,\n", - " 433,\n", - " 443,\n", - " 463,\n", - " 503,\n", - " 523,\n", - " 563,\n", - " 593,\n", - " 613,\n", - " 643,\n", - " 653,\n", - " 673,\n", - " 683,\n", - " 733,\n", - " 743,\n", - " 773,\n", - " 823,\n", - " 853,\n", - " 863,\n", - " 883,\n", - " 953,\n", - " 983,\n", - " 1013,\n", - " 1033,\n", - " 1063]" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "primes_1066_ends3 = [x for x in primes_between(1, 1066) if str(x).endswith('3')]\n", - "primes_1066_ends3" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This code tells Python to first convert each prime between 1 and 1066 to a string and then to return those numbers whose string representation end with the number ‘3’. It uses the built-in str() and endswith() methods to test each prime for inclusion in the list.\n", - "\n", - "And because we really want to know what fraction of the 180 primes of 1066 end in a ‘3’, we can calculate ..." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "0.25" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(primes_1066_ends3) / len(primes_1066)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "These examples demonstrate how Python is a modern, multi-paradigmatic language. More simply, it continually integrates the best features of other leading languages, including functional programming constructs. Consider how many lines of code you would need to implement the list comprehension above in C and you get an appreciation of the power of productivity-layer languages. Higher levels of programming abstraction really do result in higher programmer productivity!" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## More intensive calculations\n", - "To stress the ARM processor a little more, we will run a script to determine the integer number, or numbers, that have the most factors between 1 and 1066, using the print_ints_with_most_factors() function from the factors_and_primes module." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Between 1 and 1066 the number/s with the most factors:\n", - "\n", - "840 ... with the following 32 factors:\n", - "[1,\n", - " 2,\n", - " 3,\n", - " 4,\n", - " 5,\n", - " 6,\n", - " 7,\n", - " 8,\n", - " 10,\n", - " 12,\n", - " 14,\n", - " 15,\n", - " 20,\n", - " 21,\n", - " 24,\n", - " 28,\n", - " 30,\n", - " 35,\n", - " 40,\n", - " 42,\n", - " 56,\n", - " 60,\n", - " 70,\n", - " 84,\n", - " 105,\n", - " 120,\n", - " 140,\n", - " 168,\n", - " 210,\n", - " 280,\n", - " 420,\n", - " 840]\n", - "The prime number factors of 840 are:\n", - "[2, 3, 5, 7]\n" - ] - } - ], - "source": [ - "print_ints_with_most_factors(1, 1066)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The ARM processor remains quite responsive. Running this for much larger numbers, say 50,000, will demonstrate noticeably slower responses as we would expect.\n", - "\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.4.3+" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/docs/source/temp/5_programming_onboard.tmp b/docs/source/temp/5_programming_onboard.tmp deleted file mode 100755 index 57741e20fb..0000000000 --- a/docs/source/temp/5_programming_onboard.tmp +++ /dev/null @@ -1,285 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Programming PYNQ-Z1's onboard peripherals\n", - "## LEDs, switches and buttons\n", - "PYNQ-Z1 has the following on-board LEDs, pushbuttons and switches:\n", - "\n", - "* 4 monochrome LEDs (LD3-LD0)\n", - "\n", - "\n", - "* 4 push-button switches (BTN3-BTN0)\n", - "\n", - "\n", - "* 2 RGB LEDs (LD5-LD4)\n", - "\n", - "\n", - "* 2 Slide-switches (SW1-SW0)\n", - "\n", - "The peripherals are highlighted in the image below. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![](images/pynqz1_board_io.JPG)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All of these peripherals are connected to programmable logic. This means controllers must be implemented in an overlay before these peripherals can be used. The base overlay contains controllers for all of these peripherals. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that there are additional push-buttons and LEDs on the board (e.g. power LED, reset button). They are not user accessible, and are not highlighted in the figure. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Peripheral Example\n", - "Using the base overlay, each of the highlighted devices can be controlled using their corresponding pynq classes. \n", - "\n", - "To demonstrate this, we will first download the base overlay to ensure it is loaded, and then import the LED, RGBLED, Switch and Button classes from the module `pynq.board`." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from pynq import Overlay\n", - "from pynq.board import LED\n", - "from pynq.board import RGBLED\n", - "from pynq.board import Switch\n", - "from pynq.board import Button\n", - "\n", - "Overlay(\"base.bit\").download()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Controlling a single LED\n", - "Now we can instantiate objects of each of these classes and use their methods to manipulate the corresponding peripherals. Let’s start by instantiating a single LED and turning it on and off." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "led0 = LED(0)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "led0.on()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Check the board and confirm the LD0 is ON" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "led0.off()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let’s then toggle _led0_ using the sleep() method to see the LED flashing. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import time\n", - "from pynq.board import LED\n", - "from pynq.board import Button\n", - "\n", - "led0 = LED(0)\n", - "for i in range(20):\n", - " led0.toggle()\n", - " time.sleep(.1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example: Controlling all the LEDs, switches and buttons\n", - "\n", - "\n", - "The example below creates 3 separate lists, called leds, switches and buttons." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "MAX_LEDS = 4\n", - "MAX_SWITCHES = 2\n", - "MAX_BUTTONS = 4\n", - "\n", - "leds = [0] * MAX_LEDS\n", - "switches = [0] * MAX_SWITCHES\n", - "buttons = [0] * MAX_BUTTONS\n", - "\n", - "for i in range(MAX_LEDS):\n", - " leds[i] = LED(i) \n", - "for i in range(MAX_SWITCHES):\n", - " switches[i] = Switch(i) \n", - "for i in range(MAX_BUTTONS):\n", - " buttons[i] = Button(i) " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "It will be useful to be able to turn off selected LEDs so we will create a helper function to do that. It either clears the LEDs whose numbers we list in the parameter, or by default clears LD3-LD0." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Helper function to clear LEDs\n", - "def clear_LEDs(LED_nos=list(range(MAX_LEDS))):\n", - " \"\"\"Clear LEDS LD3-0 or the LEDs whose numbers appear in the list\"\"\"\n", - " for i in LED_nos:\n", - " leds[i].off()\n", - " \n", - "clear_LEDs()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, all LEDs are set to off. Then each switch is read, and if in the on position, the corresponding led is turned on. You can execute this cell a few times, changing the position of the switches on the board.\n", - "\n", - "* LEDs start in the off state\n", - "* If SW0 is on, LD2 and LD0 will be on\n", - "* If SW1 is on, LD3 and LD1 will be on" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "clear_LEDs()\n", - "\n", - "for i in range(MAX_LEDS): \n", - " if switches[i%2].read(): \n", - " leds[i].on()\n", - " else:\n", - " leds[i].off()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The last example toggles an led (on or off) if its corresponding push button is pressed for so long as SW0 is switched on.\n", - "\n", - "To end the program, slide SW0 to the off position. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import time\n", - "\n", - "clear_LEDs()\n", - "\n", - "while switches[0].read():\n", - " for i in range(MAX_LEDS):\n", - " if buttons[i].read():\n", - " leds[i].toggle()\n", - " time.sleep(.1)\n", - " \n", - "clear_LEDs()" - ] - } - ], - "metadata": { - "celltoolbar": "Raw Cell Format", - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.4.3+" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/docs/source/temp/6a_base_overlay_iop.tmp b/docs/source/temp/6a_base_overlay_iop.tmp deleted file mode 100755 index 5ce8733325..0000000000 --- a/docs/source/temp/6a_base_overlay_iop.tmp +++ /dev/null @@ -1,197 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Using Peripherals with the Base overlay " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Base overlay\n", - "\n", - "The PYNQ-Z1 has 2 Pmod connectors. PMODA and PMODB as indicated below are connected to the FPGA fabric. \n", - "\n", - "\n", - "![](images/pynqz1_pmod_interface.jpg)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Using Pmods with an overlay\n", - "To use a peripheral two software components are required; a driver application written in C for the IOP, and a Python module. These components are provided as part of the Pynq package for supported peripherals. See the *IO Processors: Writing your own software* section of the documentation for writing drivers for your own peripherals. \n", - "\n", - "The Python module instantiates the peripheral, and loads the driver application to the appropriate IOP. The IOP will also be reset and start executing the new application. \n", - "\n", - "The Python module will send commands which the IOP will interpret and execute. The Python module may also send the data if necessary. The IOP will read from and write data into the shared memory area. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example: Using the OLED and the Ambient Light Sensor (ALS)\n", - "\n", - "This examples requires the PmodOLED (OLED), and PmodALS (Ambient Light Sensor). \n", - "Plug the PmodOLED into PMODA, and PmodALS into the top row of PMODB. (Currently, the PmodALS can only be used in the top row of a Pmod port.)\n", - "\n", - "OLED displaying light reading from ambient light sensor:\n", - "\n", - "![](images/als_oled_demo.JPG)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Execute the next cell to load the FPGA fabric with the desired overlay, and then import the OLED module and instantiate it on PMODB:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from pynq import Overlay\n", - "from pynq.iop import Pmod_OLED\n", - "from pynq.iop import PMODB\n", - "\n", - "ol = Overlay(\"base.bit\")\n", - "ol.download()\n", - "oled = Pmod_OLED(PMODB)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Try writing a message to the OLED." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "oled.write(\"Hello World\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "oled.clear()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Import the ALS library, create an instance of the ALS Pmod, and read the value from the sensor." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from pynq.iop import Pmod_ALS\n", - "from pynq.iop import PMODA\n", - "\n", - "als = Pmod_ALS(PMODA)\n", - "als.read()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Write the value from the ALS to the OLED. The ALS sensor returns an 8-bit value. \n", - "\n", - "* 0 : Darkest\n", - "* 255 : Brightest" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "oled.write(\"Light value : \" + str(als.read()))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import time\n", - "from pynq.iop import Pmod_ALS\n", - "from pynq.iop import PMODA\n", - "\n", - "als = Pmod_ALS(PMODA)\n", - "\n", - "als.set_log_interval_ms(100)\n", - "als.start_log()\n", - "time.sleep(1)\n", - "als.stop_log()\n", - "als.get_log()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "For information on other supported peripherals and their API, see the *pynq.iop package* section of the documentation." - ] - } - ], - "metadata": { - "celltoolbar": "Raw Cell Format", - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.4.3+" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/docs/source/temp/6b_base_overlay_video.tmp b/docs/source/temp/6b_base_overlay_video.tmp deleted file mode 100755 index f88eaf0481..0000000000 --- a/docs/source/temp/6b_base_overlay_video.tmp +++ /dev/null @@ -1,676 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Video using the Base Overlay\n", - "\n", - "The PYNQ-Z1 board contains a HDMI input port, and a HDMI output port connected to the FPGA fabric of the Zynq chip. This means to use the HDMI ports, HDMI controllers must be included in a hardware library or overlay. \n", - "\n", - "The base overlay contains a HDMI input controller, and a HDMI Output controller, both connected to their corresponding HDMI ports. A frame can be captured from the HDMI input, and streamed into DDR memory. The frames in DDR memory, can be accessed from Python. \n", - "\n", - "A framebuffer can be shared between HDMI in and HDMI out to enable streaming." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![](images/pynqz1_video.JPG)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Video IO\n", - "The overlay contains two video controllers, HDMI in and out. Both interfaces can be controlled independently, or used in combination to capture an image from the HDMI, process it, and display it on the HDMI out.\n", - "\n", - "There is also a USB controller connected to the Zynq PS. A webcam can also be used to capture images, or video input, that can be processed and displayed on the HDMI out. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The HDMI video capture controller\n", - "To use the HDMI in controller, connect the on-board HDMI In port to a valid video source. E.g. your laptop can be used if it has HDMI out. Any HDMI video source can be used up to 1080p.\n", - "\n", - "To use the HDMI in, ensure you have connected a valid HDMI source and execute the next cell. If a valid HDMI source is not detected, the HDMI in controller will timeout with an error." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from pynq import Overlay\n", - "from pynq.drivers.video import HDMI\n", - "\n", - "# Download bitstream\n", - "Overlay(\"base.bit\").download()\n", - "\n", - "# Initialize HDMI as an input device\n", - "hdmi_in = HDMI('in')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The HDMI() argument ‘in’ indicates that the object is in capture mode. \n", - "\n", - "When a valid video input source is connected, the controller should recognize it and start automatically. If a HDMI source is not connected, the code will time-out with an error. \n", - "\n", - "## Starting and stopping the controller\n", - "\n", - "You can manually start/stop the controller" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "hdmi_in.start()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "hdmi_in.stop()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Readback from the controller\n", - "To check the state of the controller:" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2\n" - ] - } - ], - "source": [ - "state = hdmi_in.state()\n", - "print(state)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The state is returned as an integer value, with one of three possible values:\n", - "\n", - "* 0 if disconnected\n", - "* 1 if streaming\n", - "* 2 if paused\n", - "\n", - "You can also check the width and height of the input source (assuming a source is connected):" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "HDMI is capturing a video source of resolution 1920x1080\n" - ] - } - ], - "source": [ - "hdmi_in.start()\n", - "\n", - "width = hdmi_in.frame_width()\n", - "height = hdmi_in.frame_height()\n", - "print('HDMI is capturing a video source of resolution {}x{}'\\\n", - " .format(width,height))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## HDMI Frame list\n", - "The HDMI object holds a frame list, that can contain up to 3 frames, and is where the controller stores the captured frames. At the object instantiation, the current frame is the one at index 0. You can check at any time which frame index is active:" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "0" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "hdmi_in.frame_index()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `frame_index()` method can also be used to set a new index, if you specify an argument with the method call. For instance:" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "index = hdmi_in.frame_index()\n", - "hdmi_in.frame_index(index + 1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This will set the current frame index to the next in the sequence. Note that, if `index` is 2 (the last frame in the list), `(index+1)` will cause an exception. \n", - "\n", - "If you want to set the next frame in the sequence, use:" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "hdmi_in.frame_index_next()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This will loop through the frame list and it will also return the new index as an integer." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Access the current frame\n", - "There are two ways to access pixel data: `hdmi.frame()` and `hdmi.frame_raw()`." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/jpeg": 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vfBySegHWtzSPBeo6sysAYID1Z+K7jwr8P5ZSlx9maaXsSMoPwr1TTPBbxIrX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IJNdC3OOeosjkae00fyqpxtqlLcyf8ACPTxyIS8xKr7VY0xGudsc5wmdxFLrBQybI12woOP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\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/mVnJcAd6k8/PINS2gL3mUpkFUhLnvQZhQBbMnvTTKPWqplA71GZqALbSimeaKptNUbTE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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from IPython.display import Image\n", - "\n", - "frame = hdmi_in.frame()\n", - "orig_img_path = '/home/xilinx/jupyter_notebooks/Getting_Started/images/hdmi_in_frame0.jpg'\n", - "frame.save_as_jpeg(orig_img_path)\n", - "Image(filename=orig_img_path)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This will dump the frame as a list `_frame[height, width][rgb]`. Where `rgb` is a tuple `(r,g,b)`. If you want to modify the green component of a pixel, you can do it as shown below. In the example, the top left quarter of the image will have the green component increased. " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/jpeg": 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BJwO2apseaC7HNKIpGGdpxSvfRGkYqKIzRS7T6UEEdRUu5oJRRRSAfEpdwBV1SijDHGKq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8HrTlVVIk6r3qk9bE9Lgw6E/lQMqMjn+lEjBmyfu9qYXYnGPpTbSY0nYcSTkg0oBbjHPrTQ\np5zwalUOo6daa1YnoKgRDjrRIqZLZoZQMY696b5ZLYNP0JXcjzkfKtLhkGPWnFHyQOAKBlQSTmhb\nl3IN+H6U+Vg44z9Ka3JLGnbAV3ZqEnsVpuRA574pylB/eFGBn5eaeNzDCgH8KlIbY1n+fO7cPelj\ncbi5Tj2pCMKS0Z+opinCH5sUr2YWuiWJgZS5Ix/tVE53y8AD6VJGzLE2FBHrio4gGkpN3SQLdstz\nxOsKOvb0pHczSQyP7VKsm/dG3TBqrGC8bJnlea2djKO2v9XLX2eObUBG74DDior4lcQkk7TS3Lxe\nTFJGT5q8Hmlli+1RrOHAPQim9VJR3FG6actiuy7Lf3NSxopsWbd82elPMOy4VX+ZSpxio0ic+aoH\nA7VLi0/wK5k1uIxGY2Xr0NNmH77jkU0xyCIMAcZqXeptwpGG9aT94rbYgkUoee9KGLMqkYFSyRkY\nYnIqPgtn0qXFpjTuhDwx9KKUR+YMqeaQA4+lIdxV4bmun8A6r/ZHjKwnLbUMoDH2rmRyQTU1sfLv\nImJPytniqtpYXU+6baZbi1imQ5DKGB+oqRqx/Ck8dx4YsZI23L5SjPvgVrk5rnas7GolBo70lAgN\nKPekooAWgUlOxSAKSlxRihAIeKQ0uKMUwEpKdiigBMUgpcUuKQBS0UUgAUd6XGRSUABoxxR1ooEF\nFFFABRRRmkAUlFFMYGkNKaQ0wEo7UUUwCnU2lFIBe1FGaTNCACaSlNJTAqxD92KdTYv9WKfVECYo\nxS0UCYUcUUUALR2pKM8UDFzRR1ooAKKSjNAC0UlGaAuL3p9MBpd1FgHZpabmlzSAdS0zNLmkUmOp\nRTaUGgELmgmkzRmlYbDNLTc0uaYkFFJmjNA7i0lFAPNBLZn+ILgWug3UjHHyED8q+PvFk5n1aTJy\nCc19VfEKfyfC0vPX/wCvXyPqsnn6m2OfmwK64aUfUiXxI67wvFssUbHzE11em2kmp+KdOtRn5TuY\nfQg1h+G4GjskDryOa774Y2L3viy6v2/1cA2r+Irnqtqk7ddPvMqSbZ7MFCKqL0WkJ5pHPNJmskrK\nx0tjs0tMzSg07Ah9GabmjPFIYppQeabmhTnHrT6B5HAfFh1/sMJjLE8V4lpt68mu2qzn5UIwPwr1\nz4oX/wDp1paBd24jP0rzfVdIiivYJ7bjaQxIrot7vL5HLUTk9C9qslzb3YlUYWUdasjSkurS1uJD\nh8gnP1pmrSF9NsyxJdmAx+Nad9ibTtkQ2mJDT3aZSs2WPD3l2vi6FICPmx/OvXXH7vPtXzdY+IDZ\n61ZTsCHRwG+lfR1tMLmwhnHR41b8xXK3++a7pGsdY6GHqA2gkViSjLA+tb98u4sKw58ce1dDDoVJ\nAC2KruuTVhwS/TioCCHIoQFZuGpqYLHNPk4HvUI3K4DDrVENCSsVfaBwahdiqnFWsF5CCOKhCgbg\naEySI5KYpFwi5zzTj2ANLIFYjiqsFxE+bnPSpAc/WolAQll6UsR35ovYROsuwHvQzZhz3NRNkCnL\nlgARQgQ93KxKD1NSH+Cogh84EtxUshJPB4oGiZ8AZB7U2LGN1M3Hy/WmocoVHWl2Asy8bSKRmwy5\npSpEa5PSmSjcynsKT1ZS0FkiBmLqOcVBI8iYJTOTVqRtrg+1NVi+c9qTBifdHPGRTRhZOT1p4w6n\ndUTFVIz1FIq4ssPmTB26DpUqx4G4Uq4deTgVJEByM8VL1CxFGpfBJxzV8E7RjtUbQhowQcYo3YwA\naVh+Q/zOfenqy7h61An33Yjp0p5USKQMgnvTv1GtBxfzCwFOh3JEFc0QhY0296FBZzz3osIew+Yc\n8Vd0zB1FPSs66VhFuBxitPw0RcyZI5WqegnqdcQAopDSkYpDUobG0mKU0UyWFFFFAwooNFACUuKK\nKBi04U2nA0rAOpKKUVI7i0tN6UtJiHUU3NLmi5Vhe9LTc0A0h3FbhG+leA+KYIIvE91cBikhyD78\n175K/lwO5HRc186eL5TL4glll3xxmQgBR1rSnszKq7GbJb2V6SId0c6ct15rJMgW4Ytlj0C4rXEs\nEc8txAV3bANrnFZ1iTPdzSXJ8tSrbSPpWyfc5pJPYrXMsiyI0eFG3HFVTeM9ynnqSq8E4oDJifzN\nxZDlWxwTUBluBbsSgZX4zVJWRD1Yw2zxPJty4fkVQ2SJujORjnmtuS526XEoP74E5qjcz+ZbKrqG\nkbq46inoNNssaZbx3dtIwOxUXJ+tUjdWq28qSoWwTsPqamkVrHTtsMhzLyRWZKo8tQ33utIcUua5\nC+WKKAQGPQ1ZkPlSlYzhV4NNkuhMYwVA2dx1NRtIA5bcSD2oNGr6CO0jyofQ02ZnkclhzUsJxukb\nlfftVaV2kYnPy0PQcVr6AQc5zk0i8qd571JtEaqT9096jb7hA5yetS9C1qNUbuBwtJIxZtq0z5h8\no6U8lVUYGWNRfQu2omRGQCM0kjl33YxTyi+Qr5+buKSTaY1I60NOwJob/GDSyMXb5egpmCR9KU5A\nyKL6FWG5x9aBzSgKUyT81OI8sqeuRmps9wuMJJXBq4GS2tiBy71TLZJzTsMx+anF2d0KUb7kixgW\nzSHrnimJ8rg45pzBjb57KcU3cAgbHNPawl1CfPmZPpTSWwM06Rt4DHrS43sq9KT3dhrRDnwkKqOr\nc0whgqg06QhpgByFoLb5C38K9KbsJEkwU8Z5wKSNv3ZPUjiowGJI7tVxIljgDnr6VrFOWxErRViu\nF2px99qsSRohhRT8x5JpjH5i5x1wBTp0MezPLMMinayJbu0MbM1ysWM54r0zwtoc1hAsu0fMK8zt\nM/bIyBk7q9v0htulxZGeO9aUUm22ZVukehK6SFcMwwO1Kikoc8CouXlcg/eqVVcKAx6dK1djJDo8\nYIBxQcZyRSqig5J/CgdyenpWc3ZGsVcci5rqPDMPm6oilflUA1z0CBsZNd34UswgafHXjNctR3Oi\nGm51G7jHpSZppPel6VlYscDSE80DpRSsAtFKBSkUDCg0YpcUgsNxSU7FG2gBtNkUvEyjuKkIpQPy\noHY801e3NveSIwzuNYTIC5QnpXZ+LIljulkwcGuRuFAYvjGaaIexQYDeQT0pjOq/OOaUFXmySCM4\npTGocjtVLchrQi3bznFM3ssnSpgcE8ZoJGckVViCGQb8YGB3prQckk8VMT8hGaRhuQZp2HchJ+0Q\nvbso2EY5ry7xNoEmlXbSqCYm5yK9TTA+tVdVs49R02a3cAuV+U+9DQk2nc8V27uc1KBvj29x0p11\navZXjwyqRgnrULsY2DL0pJ2NnrsKGP3Gp0bBNyOOD0pC4k+bb81K7B0GB8wpiY3GOvfpUhTBHOAO\nc0sSGQc8EU13DDgfd4x61SSSFe7sPDh3LEdKUzEsABxUQAUFifmPQUBh349armFyol35JwOaC+O/\nNR7st6A+lI6sDmm5PoHKOaXikLBjTNgxnPFPVVKmkrt6jskMJG72pvmEEjHy05gAKbj5Mmpky1YN\nvcdKABgk5FNBI6VJl5ejAAe9S2gYwnC8E052/dAEA05i3kgHace9RucovybaTYLUXAEPcE0yPO4c\nVLJkwr82R6VHExU5H5UmveQ1sWJ/kII4zU3lxxQRXAOckbhUd0yyKvGCBSCQfYth65re9mzHVxRb\nngiuJonTCxtwfaoLmH7Hc+WpJjIpQAtrsjYkmpHc3VkcjEkf61crPVLX+tDNXTWumxWWVzLGuORx\nVmGHdcz4bHWmBle2DFcSqR+NHnGTcFADt3pKyKld7EiiS0SSGUDbKODWe3UIexqzM00sH7xsmPpm\noBtaL/a9azl2LhpqMLMp2k8U6PALc9RTpFVcHr60x2DEMox7VD0Ze41eGGD3p4yrkDvQkQfcc4Io\nHyYbqRRZobFOd3TpTxKUywA6UbhIhbofSmOMxj1qmuqI33Prf4SXpvPAluS2WVmH8q7gV5R8BLtZ\nvCbw5+ZHYn869aIrnm/eNxtFFFIQlLiiigAp9NxS0mJAelIKdRikUxO1JS4pcUCsNopcUuKAsNxQ\nKdikxQFhaKD0o7UDE60EUZoHvQAlFL1pO9BIlLSUZoADRRRQMKSlNJTAKDSZoNMGFFJRQTcWkooo\nsPmDNLTc80p4oBMWikzRmgLlaL/Vin1HEf3Yp+71qiBaTNITSZp2AdmkpM0ZNFgFzRmm5NGadgHZ\nozTSaTNFgbH5pM5puaUHmiwrjs0ZpM0gNAIeDS5poozRYY+jNNpc1I7jgaXNMpaLBcfmjNNzRmiw\nDqXNNoNIBc0uRUeaWiwDsj1pRzUeaKdgHk4oB4phPFKvahoEzgfi9fC18OiPOCw/xr5isU+0auuR\nnL5r3X466iqww24PO3+teIeH4zJqKt6HNdM1alFGU38TPRrU+RFx/d6V6v8AC3SnsdDku5Rh5zmv\nK33MIEUfeIFe/wCjwi00a2iC4+QVy1dZRj8yqSsi6TzRuphNGaqxY/NLmo80ZpWC5Jk0ZpmaM0WC\n4/NLu2xsx7CmZqvqc4t9NldmwNpppXaQeZ4z4u1CWfxidw3R/dHtzVPUpLdZra0Q5aVuT6cVe822\nn1OWeYgqpzk1jXssdxfGW3XcxOE9jW0t5Mya0N+9tbafVrSBcGOBct9cUSPvvpCFxE2ePam3Pl6d\nbRAktNNjcT1qR5MzSxwjhQVH40Lz62K63OUn0q3/ALSuJnGI8ErXvXh6QTeHLXacgKFz9AK8Wmia\nIOtwpGFzmvYvCU6zeHbfaBgZFc9ZWqp+pdNaEtzFlmHtXOXUeCRjGTXVXhwpxXPXiHdWy1GZu0YA\nJ6VCyhpSB6UMWEjehpFJznHXip23EVXXOMdqjnBJB9KsunzsOmKrSBjHn0qiXqMjcb+tNlXrgdaZ\nErBiXGKl2krk9KaJsVtpBFKQQxz0pWALcZprHiqTExeFUj1pY0CAkUxsNjmncAcU9GxDg2W5qRTy\ncVA+4KWA5FLDJlMngmlfUZNgnn0p27jGKYrFRmpY2yCcDFJ9gHHasWT0ojMYXcD1pHCtGQelNwgi\nUL2oC49t7Dg8VIuNu09RTC+VAxSscLn1pDY4SCQY9Ke5xtxUUeMdKkZgFyKBjHkCocDmqxidzuzV\nshWj+7Qo/d4UdKQ0l1ESH90Mtxmn/wCqQlTmkgcPlWPNMuW2kRg9al7DVi2pdouuKa6bF6803zdu\nwZ4pJ3AYc0n2HoSWcjEsj+tXgVOQOwrODMrKQPlI61bhdcfKfrTiA3zFDk4qSNwzZHFRvggtinRb\nQoY96LagLeN+4JPYVueEof3BlIxk1zGrMzW6iM85rt/DUBi0uPd1IzRNi6mseuKQ05jljSGoQxhF\nJinGkqkxCUUUUwCiiigYUUvailsAlKKMUcYoAXvTs00UUmIcPelzTe9LUjQ7Io4ptOx3osVcXiii\nkye1BIy8cpYSt1+U14D4ojF5dksQGEhIFe5a/K0GhXLjqEP8q+cLm8e5up8v8ykkH3rWnsRUdihc\nRxWt0yzg5cfKaz5Xnl077y7FOBjrV/ULyO5tCkq/P0D+lZZWRIREQfLBGTWtupySfRElywNjDFEG\nzgGQ08BI4Vh8xQhGVPoahlEcTII2LhuW9vaoPKDssshIh3kbc81VibkslptmVC289dy9KpXkoVVV\nQo2HkjvWhDI2yQlTtToD1rImVppHYrtB5plRaJJn3+XMSAMYINVJ8TykofujtUyxG4MUQYbe9MJE\nLvHtznil5Fre/UgAQvt6UjKAmMjNSSRLGu5jj602O3aYl9wx1Ao8i7q17jNzNCUUdOTioFU84+6O\ntWpW2ZQEB2GOlDW7JbhcjHUmpkrspSS+Ywq0qiMduahkLKmMYwatnPm7WG0AdapSH7wPrxRKyVxw\n1Y1fukkjmpUVdgAxvNN+zv5KyAjk4xTHLBvQ1mnZXaNN9mLsYuI+lOmRUkRFbOOtEb+UNx5YjvUb\nZAyeppOzQK9yRdoWXn+Go+SoApFbbnPenKdoB7UXuO1hoGXAFPwGd8ngDimnglh1ppYkk+tJ6Dtc\ncib1OOoqQI8qtJ2WmRyCPPHJqR2ZfkX7rVUbJXJd7iHctr/vGllQCOPA+polOFWLP3RzUTOzLjPA\npt9ASb1AgbvanNgYIPNR8sQtTRIG3Ox4Wkn2G9BUCxwMW+83SmRYHDdKkiI8okjJzgU1B5cwLjGa\nrTRk9ySEGW49AKUFmD85VTT3DRvvXADCmBWzs6A1olbYi99R6IpMbMeCc4p1zMHmJQZwOKaOCydl\nGKayiNMg8sKb2sid3dml4XtReatGjjIzmvZYYxDAsODjFeR+EUI1OMq3Oa9XadiFYHBXjnmtKK90\nxqyfOxwhKSErzTjgyZJ59KjDt8zM2c88UmV++D81W9yUT7fm3E/hQTnp19KZG4cbjUyKSwxWMmrm\n0V1LdrGGcc9eK9P0qAQabEoHJGa4PQ7Xzr2JSM8ivSVASNUHGBXPN3ZvFaCc/lS/WgdaXFZlIMUo\nFFOxSGAFKAaUUCkNIKKKKQwoopaAEoFLSd6AMLxRaLNY78crzXn8gWSEgjpXq19CJ7KRT/dNeW3E\nXk3kkXb3qkybamJJAkLZHGTmlIHBHerNyq7sGqzDGMVSM3YR/lkwelMJXdyeBT3Yl+R0qIrubIqi\nLjXmiVgGOM8U84A6/LUckCkgmldQy7O2KYWEDxspI5qNsEggc9qpxjyXcgkjPTNTxsz5JBGOaGFj\nn/F+hx6hafaLaP8A0hByAOteaOjAlW+8vavaGmVEk345GK8y8QaU9tM1ygPluaUl1CE7PlZiQHBK\n5Az3p3lmJ+Tx61CRjkdKlWTeu1+g6UotbM2ae6HvJ0K9e4pMgNvwDnoKaDsOG6GgDA6cnpVJsmw7\nB3erH9KQLhvmOfWnEbQU/i7mmBjjb27k07gP44wOanGwqN557iqx4Ixn609CCSD1q07bEyWgSAA/\nL930phIUZqwEB+U5pTaKRnd07UOLvoLnS3KrEFaYAWO2pJNqg4600P0wKnrqaLbQYFwSM9KcNmOc\n5oJySelC/M3UD8KmxQHb5eQGz60jsCi8kn3p4DbWAYflTCWMeNo470mJDpQdinbgetNjyOwx60mc\nxYyaEPyng0tOYdtLE1xjcMHIxTlj/wBHDDk08gG3TcvHrTSTGqNHyvet1G2rMr6WQ3cYZkwfc1YK\ntHeqIvmDAE4pVjeKRZ2j3RnqaJCIpRMhyvcVVrK73uQ5XegtziS/CqQgxUH2ab7WUhBcrzxUt4qf\naIpIgcN6mpI5ZLPUPNHGex70SinLXuEXZK3YrS3BZjGUwehpkESySlScVJIxuLiSQLgE8n0pGRYC\nSp3cdalJ3u9i1ZKy3InAV9qnOaI0BIB7GmsclWpSfnPPNZ3TL1sOAAuOD8vekfa0mFOAaQsUfPqK\naq72Pai+lgS6j2TYduc5qXysLgHPrULLtbGaeGJIIo8iXex7x+zzcPsvoCPlUZz/AMCr3k181/s/\n3Rj8R3kJfAdVwufc19KNXPLc26DD1opT0pKACiilpXC4o5o70dKB1pCFooooKClpKKACiigdKACi\nkooFcD0pR0pKKAuGaM0lFAXCg0UlABRRRQAUUGkzTsAHrSUUUwCiik7UAKaSiihCYUmKKKZIhozR\nRQAZozTaXNAyrE37sU/OagiP7sU/dWliLj80mabmlp2ELmiijNFgDOKM5pM0ZFA7i0lGaTNMTY4G\njJpuaMmkIfigHFNzSigaHZpc02lpDuOBozSUUNCuOBpaSipGOopvFLmgYuRRmm5ozSAdxRmkzSZp\n2CwtITRmm5ppCeg7NOjHJNR5p24LE7HspNDQ1qfO/wAbr0S6y0ec7SRXn/hWIm9HHBrb+KV99r8S\n3JB+Xeaq+DIfMm3HoK6MRo0uxjK7i7dWegaZafatZsLcdC3P5V7vjy4Y4/7qgV5D4EszeeLBJ1SE\nA1645O7k1yWvUb7aGq0igzRmm5o61rYLjgeKKbRRYLjs0ZpKKQDga5vxzfiz0UqeC3FdGvWvPfiN\nqCti1Izjn8qun8V+w3scHp0X2qaVskxgdKvaFYb9TcsuI4vmAPeq/h26jWWRQucnpXSW1xa/agVA\nDA/MoqUk079xKzsU7qeCe9iEq4C5zx+VaFppTSW8t0OCzArRqlrbv5Jij3PI3OB05rXmZ0MNpAuE\nRMn8K0d736FepxeoW011efY5CBxkmvUvBkBt9EjhIxtJrgLpoW1AMiFpS23IFer6XF5VlDxjKA/p\nXPXa57IqKtqMuYcoTWDepiQjtiunnTdA2Kxr60b7MZe4rSmyZJnI3HyM2PXimpuI57VYvEYLkiq5\nyOR3FOcWhXREcmQn1qOVdqgVPJlYwe9QOd0fNHUTI2I2ZNRuTsqQpwoxSMMN07UxFbJH1qNzxzUv\n3VLEVWYFiCelUTYfHgnmn4x0pgAIGKewKigBA5HFKYzuBFQLkSYIqyz4IA7UlqIV+V2inwkBCmea\ngbfuUjualKMQSODVWGWUHyYNRgAkjOBTon2x4Yc4pkKhgzHrnilcCSN1X5TTGBMmO1OAzTjH5g64\npFDwAq4Bpi91NChlPPSpAu4ErSBIEyOCeKVm+TinOCUGKau3lSe1IbIoguSyHnvUJhlkn3t0HSlj\nQwyOzHjtUa3kzzhFGFzS9RXTJpW8pQWJ4qSOVLiPng9qJikiFCQWxUEaJEmWFSyi956LEI884og/\ndruzxmoFMZKkCramPyyD0NNaj8xZ7kLhQMg0sZOz6dqqzSlCpUZFTq7uQ2MD0oENeRJJo43GMtgV\n6TYII7KJQOAorz7RYkvdaCSLkKc16OqhECjoBipk7sEtbgRxR+FHakpFCHpSU6kIpoVhppKdimkc\n07iDvRS44pMUXGLRRRTAKM80UdqAF6migUVIhe9FJSg0AKKXPFJRmkNaDgaX0xTc0oPI5pAc345u\nZo9Da3hA3yjAycV4TcQppkbuYt0oPzr1r2H4nvMNMjELFWJGMV4/JJcLEyzZbeNpY1tBaIzqNX1O\nduI3kjkYREIxyD2pxR1sY5nUMSM9fStKVp1gGnNIrx8sCDyM1XtjDEps5l3nadhatddjlstzG+1b\n5FnVTkdVxxU5Rr0vcMjRqi5AxwakSFIm8pmOU546U6fVri8sXsYIRzkFh6U9tBaMp7JLi4WPdgS8\nD8Ky7sy295JasOQeeavx3nlTws/SPI/GoLtAbp7iQnk5Ge9Fi4tLcrxxusiggqG6GkjgRbtkmkKq\nOQQM1bmmluYUyoRUXAxVV5C8qlV5xiiy3GmwNr5ykbizDoMVBbRuzseQFFOWa4tJmZZGViOgp1o7\n5Z5WPzfrSW+pbuosrhTK7svJFOMuYsZJIp0y/ZgxDY3HoKiYJC6sjFsjmle2ha11JHmeaIl+Kqg+\nYnA5FPLvsPzcGkhIQODzmpbu0UlZDY26sx6dBQAGJdj9KbtLAgDpyaVCWwmeBWa3sWJI26Tmnv5e\n0BMlqYFMhOO1IhK8j6ULcYhBzzSgls57UmSzc1KhjAbjJ7UJag2RN2oI5pfunkc07AMik9O9J6ju\nIE+Qs3HpTiSYgT1HSklfzHwo4FIxJAUc1V0r2J33FVWdGbrzyacYCEVietKrNHEYx1Y0m4h0B529\nqEthXfQQECXJ4xTQckrngmlI8ybjpSbMtnsKPQehKW+cAfdSn7DMd7Hk9BTGIxkdOlSK4RkUelap\nK+pDv0HE+ZKqvwqikXLPv6pQo81ijHrTlGxePuCr8yNtCSQBVIAwTzVR3JTnr0qcM8kjPjgCogge\nZAOSx6VM3fYcNNz0LwTom2wF5IvzZOK60LJzsH1FV9IR4tLggRdvygk/hWmrxqAo4f1rqjFKNjkc\nrvUpQyt8yunQ+tTRJvcE8UxwPNJYbvYVNAwJO4bcdBUPQtIcYivAPFWIY22jnPNQqdz4NXreMvIq\njjJrGWuptA7PwrZqR52OldSetUNEtPsunJ6kVoda5m9TcBS5pMU4AUgQCnUlOApDAU4GkopDVxaK\nSlxSGFFAooAKMc0UUAIy7kYeorzDxNavFqrDG0E8GvUAea4/xrZ5CzKOnei5Ml1OIkUMmzqR3qg7\ngEgdq03i2wbw/PcVl3UbggqvXvWi2IkKwym71qFOHwM4p/zY2ntTWkCr05qkZtjg2WxUUx5xnFOD\nBmBApJI1cksKoCDYuGAXJ9aihdtzBhx0qzuVQQDio1UeWxHXNIGU5oGlLhuF7VSu9PjutOltmwxx\nwa0WkwDk1EAqy7s8sOlMhq+p5ReWMtlO8cqnapwDiqjKByDXqOr6UusWjQxoFmXnPrXnN/ps+mTe\nXOMNUtWNoTvuQKRKgQfepeQ+08lelQqSHyDippHDFWHbrQndFNWYbcqcnnuaUKHUMeEHb1pZApwQ\neDyaYo4JOdo6VT3J6DtjMNx4HYUAbfmFNaVnA55qSIKpYscgU07sHdLUVpScFacHaTPOKrSYxwet\nJGxDcUc7vYORWHyjKjAqEdalkYkgDg1GQRxUSdmXHYeTuGAKbtZeoH50qjcPej5cYP6U3rqGw/Iz\n/q8n600EFGGw0qcOQHYChCfnxIR/Wn5iBF3QnLdO1JE5QNg/pSoMwt8gJHemRKWJIxx61PVD73LY\nkAgVe5plv+6mEcoyjdafDA1xbsQxynaoI2kRtxHQ961Ts0zJJO6NaCXeZLVCChHBNVZbRym6M7gD\nyKbtYXEbg7Q/pT7Vnh1DyGfCN1zW7aeku9jGzjdx9RXdpbKIYH7sgH86rtM0t2qnlRUlzE9ldMEb\nfGTyR0qByIpklHI6mspy7mkEnquuw7eIxMg/i7UzazOI+QCO9SXAG7zE4BGaSZ3eNJcjilJ20ZSE\nCBoWTHzKahCgOM9+tTFGIWXorDmq7ZDeozUStuXHUndAY8g8ioFJXINJuYHjinKdwP8Ae7VLld6F\nJWQ9WBHzDkUqsyqeMULGznJOCKN3Yj2pruSeh/BiZYfHkAZsb8f1r6uyCBXxv8OJXg8eacEbGX5/\nKvsdD+6T/dFYzNIu6A0lOFFQMSkpaKTEFFHajNABS0lLQAtFJS0DQUUUUDEozSmm0CuLQOaKTpQA\nGkpaQ0CCiko7U7DCjNJRRYBc0lFFABRRSUwFpKU0lFhXCkzRmkzTE2KaKTNJmgQGjNJnNFABSUZo\npoZnxH92Kfmq8TfuxUma35TMl3Uu70qHNKDRYCUNQxzUe6lzSaGkPzxSimCnCkOwtLRSjrQSxuKd\nilFKKAG7aUUtFILBS0lFAId0ozSUUAxwooFFSUgozRmigYZoJpKKBMXNJmkzRnmnYm4ZxQTSUUAF\nV9SnFtpdzKeMIf5VY68Vz3ju+Fl4XmOcFhiqguaaQ13Plnxdd/a9blbr8xro/CMIhshK3GTXG6jJ\n52qyHr81d1pymOwt4VHL4p1ZXm2ZO/Kj174X2hC3d8Rw42j8DXft1rD8HaedM8NxRsMM+WP481tV\nhS1XN3NmFFJS1sSJS80UUALmiko60AOJCxu57DNeG+JtWa+8Q3Q6qmVFe138oh02d/RD/KvnWR3l\n1S5l7PMBmqWkG/MJdF3Os8O2lpY2TXM2DIwyM07SrGeZ7u+CnaxKp74NUb62uWe0tIckSAcjtXcW\nUX2O2EIA2xRhvqe9ZQvdeepq9UkU9F22q3DXPzsgzz2psOsKY2dl/e3Bwg9AeKt28cSWki5BdyTI\nfasywuLd9QmuJkAhhysVVJ2hpv8A1/w4Ja2NHT9OSO+j3LuZjzmvSo1CwpjgBRXO+H7SO6tvtZHJ\nORXS4woFc03zSuWMx+6as2fMlnIgFajdNoqmsWHkT1q4O2pEjjb6PEeCOtZ0sLptPat/UodrMp65\nrPuIhsUV3pJpGXUyWJLbDTSmUII6VYnReoHIqoX3E81i1yvUadwPCbvSoS2eTwalGcYqKdP3ijtQ\nIrT5HHaoCx2cVak5YioMZ69BSYmNBYAcVIGyM0gYFCR0FRPkJxVK/QQ87id3alycjjNKoKwjPekG\negoFa5OG4AA6U4OecVA5ZI/U00SlQPU9aGDLTEsAOxoztXaKjDbgMHtSI4DHJouMc03lk5qWCQOM\ng9aZsVmJIyMUY2kBRgUvMZYJJBHpTbWTdG47g0wllYHsajlJiw0fc80MNUy6ZBsx3FQtyyt0pu4g\nZ9RQoLrik9UPVksgGAetQCFjLkD5acBgYY4FRPc+VdBQ2VxUth0I44yt+eTz2q1PIkakEZquJS92\nrAUt3KI327ck0aATWx3jpxVlosDNV4AWQcYqwThNp5FJIpahDCdnzc1LHkAg+tJG4WDnr2qKGT5X\nJoGjd8NQb9SaQDoK7bNc94VtSlsZj/Eciug71AIDRSUooGGMCmmnUlABSYpaO1ADaKKKZIGj2pDS\nU0MWlpop1DEFJ0paTvQFxaM0UUALRSUtKwxc0o6jHWmgU5R1PpSBM8v+KN3MsqKHwoPT8a8quLuR\n7WWGNsscnnrXrPjuyur+5aVoSYFON1eYG3RrxolIQg8k1uraGNS5jRqfNUrJ84++SelLdbprxIlX\nEgHDDpUklo9tcywqMGTuTnNP8sWVqkrndMRgVaOdx7mYxdTcGUgFCUz61Hpc7o07IgLbOMjrzU0d\nskrM07Eq8uCoPNM1G0gsr0JbyFowoYgZyKYWW5mqFu73y1IGCSfrTYd93eS+cf3SA1ItsBcGSMnG\nCay0aRmfaTt3c4pO/U0ir3SLksgVMiTKH+HNNjkSSDA+U5OD3qZ44PKDryNuOveqzo5AZcf7tPYU\nbMJTGYGIDM/djUBlXyUAJ4qRyXXYq7R3qJmQREbfu8ZqTVLuNdjPKq4o8k/Mg5YU+0QzM2ePSmLI\nbe4Pc0tLXZV9eVdCIkbdmPmpFVhMFxyDQW3z5x3p7gC4JzUW6+Zp5AxYzMqjrwaamyOYZPHegZeb\n5OpOM0TIEOD96k31QW6CAkBiucUzPGKeHJjKdqYopN7WGhcY+tOHyoVx8xpoYD5u9OHCFu5pryBj\nWDFd5FKw2oD60vmExbfemAkEEdqV+walrygLXfH97+KoIWUSgt0pwldiQO4pgX/69XfaxKW6Y/zA\nJGccntTQ5BYkfM1JGFLkt0FOUEyhsZApavVDskSKvlRFj940wYMB9SaczG4kIHAApqNiMrjODVaX\nstiV+IsmdiKBTo1y5J7UqDzWA9BmnTSAphRgng1Vtbiv0FgUZdm69qluGAAUDAFOZoxBGFHzDrUM\nhLynPArTaNjL4pXZMWCouBgMKSxwb9WC52nikKloYxVnR7c3OqIiEdaT1shPSLPZtO2DTI/MYBtg\nqCa2eWIyRPyvanqgS0jVPvhR/KlEkhi2vgnuFGK6n2OdFK1eQ8k8g85rTyrYfbwKpxW4AL7SpJ6E\n5q7lvIxgZ9KyehpHYfEvzhuxrb0W0+1X6BexrFiRjgnj2rtfB9qWm83HQVz1HZHRBHYpGI41Qdhi\nlAx0pT1zRXMbBinAUgFOpAgxSijtRSGLRRRQMWjFFFABijFLRU3BBikI4paD0poYmKztdtRdabIM\nZYDitGkdd8TL1yKYmtDx+SBhvU8EHpVK7LKFIOQK39bi+x6k6t0JzXOzFhKcj5DWhk9iJY+DLng9\nqgkUOhPQVYzxt7VDko20j5KpWIepA7NBGCo3etIlw7HccY9KkyCWXoD0zVdYwjHByaZI+ULI2/7u\nBVZJmBb5SFqy+14uRyPSoS6sNgpgRKVIJYUrRDeGB4FNdQg+c4NCxtLJvzhBSQJleSZ4rlGQfU1h\neLNLfUFN0v3kGSK6WRQwxtx6GohChGyTkseRRe5NmjyErhyhGD0pUYLlCM5rovFelfZbvfChEZ5y\nK5s9AQOlTszojJSRIig5RjjHOaQn5Tk8dhTmO6NSq9OpobLAOo/Cq0ENVDtyPxpY2Az3HpS/w4U8\nd6au7duUfWnoth7iNg8gfWlhPJAHXvTlIzj+Hv70AfMdvAFJb3BvSw4x5J55qu/3jzUkj8ADg96h\n5zSm9RxT6kinANN4z3oUntTgDngijcYoH7wfMAfenKT5rkIH+go2yHDEA0AKJDuyuRVEkYYbWHIP\ntRCfmIwTn0p8QYuwjwfrTYg3nYyAajqmPubGgRyTGaNEycE/pVS5ikiaRWHXnFafhF9mteW38QP8\nqua/p4a6neIfcJyK7IQcqS8jinP2dbXqc+rk2SuqkmM5zVp47e7tBcKx84dgarQh/sU4yNuDT9Ou\nBBbyF4yV9aUZa2l2LmnZuO6YkFwpkaGX7rdz61EyrBM0TjKn7pqYQRXasyN+8HIFV3kDDypfvKet\nS7q1/l/kVGzenzGZI3IeV9fSnKirmJnBVuhojZijRcbT0NQyZQBSCCKzb0uapXdiV3MKiJjuXPam\nSH94CBweaUxrIVwccd6Y65IGenFTJuw1YRvnfPtRtG3OeaWPKyY6imEcn0qbvqV5EyMfXkUhyTuP\nSmBtvAqRSChqk76EtW1NnwvM2n+JtPu88CSvtKylE9jDIOjID+lfDNrK0N5byA5AccV9s+G5xceH\nrOX1jH8qyqIuF7GljiijNGazGITikzSnrTTQDHZozSZpKLDHZpabRRYQ6lzTc0tIBaM0lFAC5oNF\nJQAUUUhoAKTNFJmqsDCiiihCuwoxSd6WmNCUUUUhi0lFFACGjNBpKZIhNITTj0ptABSGg0lMTFoz\nSCigELSUUUAZUX3BUlRxD5BUuK6WQJ3paAKdtpMBval5pQvNOA5pFIQZqQDNIBzTwKkAApcUoFOA\npXAZijFPxQeKVwsJg0lPxRii4WGYxS0tFFxWEpeKMUlA7C0tNFKaLAFJmkNBPFFhBnijPakzTetU\nIdmjNNpc0rAhQaKTNFADh1rzr4v3Yi0qK3DYyCSK9GQZcV4l8bb8i9EQbG0YrWivfb7IUtIs8SgA\nm1H13NXq3hbSm1PW7KzHKJhm+leYaJCZdSQD+9Xuvwpsnl8RXNyw+SNNo/A1zVnoxWvKx67HGIYI\n4h0RQPyFL1pzHJNJVJWVjQbilIpcUY5pgNIop9FO4DMZFKBinUYpXCxleJZxbaBcOf7teH21t9vC\nxxLh3bcx9MGvZPGx/wCJDIgOCw4rzfRLOW2tfNwNzHFVK/JFLzC3vHUaLZQxW4Mp3yJwpPrVvWpk\nsrZVjGZ5eFHvUOkxkyjceBzj3qG9nVdV+0z4McHK59elOGi0QytLC8NotoGInflzVjTtE/tK4Foo\nIij+8fWrFrEL8i8Zf3jnAHtXcaRYR2lurBQJGGTWNSell/XdmiXV7k+n2KafZpbx9FGKt4zSUA9a\nxSS0Qw/izUCgfaGPrUynmqxJN17VSJkZl3ai4upARwBWFOhiJyOnSup1L9yFcdzg1k6xB/oyyqO1\ndtGd7JmUkcvccZY96zGISQqe9a1zD5kPXBrHuo3BQr261rUi2rohOzLSqAg5qJyGJPpUYlOACetI\ncgN6VzIq5XOSGPeoBnYwq0VKxE1VYEgc/WqZLJUKrbhR1JqN8rgU8Y4UCmHO8gmhaIBGmbITqDUj\nkqvHaokwJDmkZyWI7Gi9tQEEzS849qQMUfnkUqrs4981I5BUCluFh4kWPDetMDJI5Kmm7d42URwi\nBs96erQy8r7UApVYElT1qIHeQaeQqyZFAiQsNpHpVSMtJIxz8o7U8yAS89DT2VVBKjrQ7NjQomzw\negpRMFz6VSkuY0/d7gHPapY8vH83DVIynfS3E0qCE7Ru5qfy1mmQ7uVAziq90ZGJ28EelN02NkeR\nmfJNS99QuXfOFvOABkUskrXLkqOVpdoc/MORTozHFknvRZgyaGdtgDDmrKEvVYSKIi/XjiktpmEZ\nY9zQhpl12UYBpkiDClTgE4qGV/l3GltZ47ieKE87mFDHc9K0SMRaVF9BV6oLGPybONPRanrNFIM0\nUlFMBTRmijFABRRRQAmKMUtIaYmNNIadRimhDaUUuKSi4C0UUtJha4mM0uKXFKOKQWE28UCnUoHF\nFxjQKVzsgkbOMKefwpRVbVNo02dncqoQ9PpS3YzxXXvFWrxaldWjtvsTJwRzXK31vNJH58ABkdum\nccVsRXSGfUobtW8pnJhkYe3Fcl/aE63smJXLpwo7YroSSvY5qjtuMme4wWOZHXj6U0O9w8azELGo\n55pY/tNyRAjmJpCdx6Zp4sHJMEjARxjLEdW71S0MWr6kOmSW0OqzO7bkiO5Qe+KiuNTUzSX8VuqK\nGIIJ+9UapbIkj7WAkkwrY4ArN1FkUfZ0lLRDkemabuhpXaCK7WaWZwNoYUaPJ5Dyh4w0UinOfpTT\ntj0vBj/eE9ajSWWdI7dPlzyT64o82X0fKQbi87QRn92GyM1JNGxmDZ2qBzzS+XE14yeZsZRyabLE\n5XYz5Hr60dx32IGm8sFkO7PFMdCLdRkYPJoCoJFByF70rbGkdMkqDxU20NNixDjYrLwF6n1qAFPt\nDMeakkOI0wPk6HFQzIkbB15Bq5bWJitfUZGyrKzkfQUws0kjYHJp0nyrjuaLUlZSfasm9VE16cww\nviMIBgg5zTdxI55NSIA0rk9Ki6MfSpt1LRIkeISxPFMU7c+9Kdx2g5C1LtTzTu5AFCXboK/chBAP\nTOaUD5TkfSmk/PkdM1YiU3E3oAKI6scnZXKwGRinICwPtTgFWVgeRSxYDMDxmko6g2CPtJYDoKag\nDE5PNSRjIZCKQhY+nLVVna5N0NXaEYHqakEmLYjAz0qLJZlBFOIPm8DHPShMbV9x+BFFj+JqSEqD\ng96CweYbugpEUCXk8U09dCemo+MmOY7eARSv29c5prBpJCf4V9KfFG2PMI+X3q4t7CfcdGreX5hP\nHSrEBWUOWGTUcsg+z7VxRasQCxHFWnZ2MpXcWxsz/KMcFflxWt4Tt/O1ZOSOetZDhm3yYwM4Fbvh\nNZDqCxoDuc800rzRNR2pux6rscRR4UMo75qURhY8gYJqr+9t7YENhe4qwqvcldsm0Ac11NmK21EK\nlc7myewpY0fzAxHGKjuJGhZA2GXPJqwXEwBibisJGkblmJSzAHv0r0zw1Z/ZtNRiPmYVwWk2rXWo\nQx4yO9epwxiG3SMDAUVyVpa2OqCFIoxinUVjcsSlope1A0JSgUlLmgYtFIcUlIBaM0lLQAueKXtT\naKQDqQmig0AFAOKM0lAHF+NbLDJcquexriJeRz2r1vW7RbvTnUjJAryi4gPnSIeMGriZta2KssXQ\nrVMuxZlc9K1AGWPAwQBWS7s9wcJgZ61eiIehGW3ZJHSnooZSQaJFLZUVDh41bGTV2IEVWDkE8Glj\niAfI7cmhiQqEDtzTgWZWGcHFNAU7397L5S5+tPgTA2h8inHnBXGQcGqxkMdyIwhC/wB7FJgrlx0H\nCMelV2G2UHFWJ1DhWU/jQQI1+fGSOKQzO1e1W/s5I9o+71ryu6t3tZmRlI5717Gv3eR1rkPFuitL\nGbuNcbf4RRIUZcrOFRyvyE/Kac2YiNp4NRMDkjuKfGTJ8hPJ4GazT6HQ11HOdnQ5U0gdhlR0NCA7\n9mM0qqN5RzyOmKq4tB6gKMPyewpGI2g9DmnoB5WAD5g5J9qiJJH3ePWq2RK3EblAaZ1NK3Smn1FR\nI0QoPagYB5GaaaenNJauwMd8n+0PwqaP5pAEft/FxTdsmMDa1KykFfMiwD6VslYzbuNUATsHz9V5\nqI4EvBJFSxjbMQpwP9qom/13aoey9Slua2gztBqgaI4471u6neqzyOTgvwawNECtq6LIc544rpPE\nmkfZIBKwJVjkV3UW1SujzsQr11c5hFWG5eNzlJBxS2zMkMsbYMRPP50yU7tjoudlRqTJDJtPJ7Vg\nnY6bXRLOFtbhHgztYUbIXjkd/vk8UZe5s1Xo0XFVwRwkgxxQ7X02Glf1Qnlkx4T7wOaVm8+I7h86\n0ITDcLg/Ke9LLtt5iVIZW71HS/3l9SAr8obdRtGcg0oCNnmmKSpBHas/U0JFyDu9KYWzkY60qyFS\neODUqRhwzDpTWuiE3bchKkKD2qeNUWPk8mmDDAqeg700gBh6U1ZaoHroPB2yK3owNfZPw8vRf+DL\nGX/YxXxtIPlz2r6p+Cd21z4FgQn/AFf+NZ1CoM9GzSZNLSZrMpCE0UUUyWFFFFIoKKKKAFpc02lo\nAXNA5pKWkwFpPxpM0UAGaKM0lMBaKSigApKWg0CYlFFFMkSig0UDCiikoEL1pKWm96AFNM6U+kxQ\nA2kp2KSmMbRS0EUCCigUtAGXEPkFSgU2L7gqUVvcgTFLg04DmnYqbhcZg04LS45pwFK40N204Clx\nzTgMUmx9RMU7FFLipuMTFGM06jFFxiAYpNtPpM0rgM2mgKafRTuIZikIp+KSi4DcUUpFJVXASkNO\nxSGgmwzFIadRiqFYbiinYoxSuFmNwc0uKdiii47D4h81fNnxlvPM8RTLuzjFfSgISKRz2XNfJPxH\nuhdeI7lt+fmrak7QnL5Cl0RjeHlIlebpsBOa+j/hFbn+wJrtl+aVzg185aICtvJn+M4r6s8A2Ys/\nBtkg/iQMfyrhq/FFBDWTZ0BFGKcaStrlgBQaUCjFK4DaKdigCncBMUYzxTsUAc0rgkcn4+lWLTUL\nZ2g84rzW3vLm71RVt2Kwjk+ldx8SrhTapbA8muV0uOC30tecOxBJq56xUPINmdTo9nMjyXLPlCPl\nFZF+HudV2txaqcua1NP1Py7YRnuMLTYohcXYs3GBK1DfutspaHR+GbRXtROR8g4WurXpwMCqllZp\na20cKD5VFXOgrlvfUsKM/KaTNBPagBE+6ahTJnzipd2Dio55FhZT61aXQlmdr0pWNFHrUd/Iv9jg\nnk4pdcXdCr1lpcmeHyn4ArqpwuosyluzHJDrVG5QZwvStWeMRFgOlZ3393y9K7L3RizDuBIswwPl\nBqbzfkx61JqastuzKO1ZtnIWhIft3rnqR5ZepSfQslyV2jpTSPm21H5oL4Ham+Yd5NZ7DuTgAISe\n1V1G7c5PNTFgIuR1qJztj470dAFB6e9C859qRSSopgO16VwJcZXmkZCBmmMxJ46U2Z2KACnfoFya\nEnf9KVyS59KgjcqmSal4K5HWkmHQmRh0pQDv61WTzAcnpUwYO2M4p3sASAA5zSRS5JBNMuuFC5/G\noGcIyr3NJ7juFzZo92s2elWvPizgMDj0qAsXiZTwexrOtLWWCZiX3A54NS31C9jRklVw2wVUjb95\ntDYamLI6sykYPWn25hnl3bsOKlu6Dc045Rs+YYamyygL0B+lQyxNKwCHj1oitnjkYlsgetPUd2AM\nsqqVyADyKuq44GQOOlVUlKlgcc9qFUM6sx780vMCxcK0kYwfrWv4X01bi9RiMhOc1iS3CxsEHOel\negeErAw2QmYcvzSb1HudMvCADtRRRSLAUpFJTqQCAUuKKWgQ2kpwzSEH1oATGKDzTjzTaBiYopaM\nUxMbRS4pcUCEApaKXHFA0Ap1IAc07FIdhAKXFGKUUXCwYrA8aXH2bw7K5baOMn2rfrmPiFB9o8Kz\noDhjjFOHxIctjxu91uzv7WGGBFeKMAMy9c1zGszCLUofs8IGQMHHWraxtomnYwN8gzk85qHWoIZr\nK0lSfMzAblA6cVrG6SOWp7xV1OST9yVGw+q8VBrCyQadb3iTMXkGGUH3xRdSxpDFLESJU4Ksc5qK\nVHl08STDBVhgZ7VqlqZN2dyklzEY4YyWPGWBPQ0NZW1xqCxLJhGAPWp4ZLUXhZYvNQRksAcYNU7t\n2imjliOHdvlHpSVrWGr3GCKaWKWIkCOM/eNVo5NrRv2XjjvVphcW6ukn3ZOc1UmT9ygT1BNPpcpd\nglCi5dyMCToD1qS4DeUkW4EjnimJMquxI3DoPaopHeWXKngdfYUXSHZtryGStvAiVeR3pm5FAUD5\nh1q00iGUeSQcjGcVFJDsk6dAcmpavqjRPowV98LjsORUHmAQbCDuz1pFbLdcA0qxb24PAPNJttaF\nJJbi26GaUk9AKYMh3/lU6yAy7I/lHrULKVmYA59TSaVtBpu+owsBHtA5J5pWX92CB8tHll1Zuwpy\nyKYwhHQ1NujK9BjSFlA7ChclwM9aCAeR19Kk++6EcY60JO4bDCn70J0FOEnlyHb06UkxzJxTQMK2\nTT2egWutRNh27zTgOVYig7igHbtShtrqD90UtAFaT97kccdqWHau6RucdBSfIZuBhaXy97bQfl7m\nq63Fpaw3DkmUDA7UmXyXbvU0zDZGi/dXqaaSCyqRweho5UmCehCMF+TUg+c8DgUjRqjEE1ZUKLTC\nD5j1NEYu4pSI1KrCQpOSakkkLxqq8L0oEJkx5Yz60vl7HO/ooyBWqT2M21clitleJyTwozSSRbYo\n0Q8Z5oWT/RigOMmmh25TGfQ1b5baEe9e466mTMca9F6+9dh4Ot1S4Fy3c/KK4swjzAC2SDzXp3hP\nT1Fgk+eQcinT1k7mdSySSOnuImuIFAUgUAlU8tVIPc1L5km0HgAdarwXTTl2A2he5FdEmREX7PHN\njzHwAMHmrdvAixhY/ug9aihCvlj0zV+ECVQiDgmsJs2pnWeDrLNw07DIUcV2jetZPh60Fnpq8ctW\nrzzXnzd5HZHYSikozUjF7UUmaWmFxc0lJ1ooExc0lJS0CuxaKSlpWKuLmkopaAEozRmigBc0maKM\nUABUOrKRwRXm3ibTzZ37SDhDXpQ4INc94t037VYF16rTRMu55j5hjLZOQaqNy5A6VfCgSFSM47VW\nmX5iRxirsZvuVCduTQ7HA2ikfBQk8VAXYR5Bz7VdyLEcrSNKqqeKfkKx3HoKSIKcM3BNRywtuaRW\nyMdKaBiI6u5wCPepgm9vLf7vrUNvExI4xmrrxgIRjinYFsDKqIFA3AdDVecFyoXk1YQkLtPQDiol\nIG52GMd6At3EdCCuTk+lNkhE5kgkAIZTjP0qVgGUOpxmkdORtPPrSC19DyrXdHbTLx+6E8Vit8rZ\nFeua/o51PSWAA3oMg4615RdW0lpK0cqkMD3rOaLpvox22Mwbw4DjtURJKK4H3ep9abG4VhuGR6VJ\n8isR2PShO5drClyfmXv96lOcZPAPamRtsba3Cml537PXpVLzFYbIV6DrUVStjo3bvUZ61EkWhKVe\nlJnipIxxwM0orUbeg5Nu3/WEH61Kis5UicHHY1CxPHy04GPbgoyn1zWy7GbRISRcYdQ3+7UBXM33\nT9KeqjzRiTn1NNkys3zH8RSlt8wjoXdIkaDWYHCc7gMH617Fqtkupab5boNzJkCvFYJDFfxOD0Yf\nzr2k6iiaHb3R/uDJrtwrXLJPucWLWzPKLq1ktLmSM8bWIIrN2OJj5XPsK7nWtKE8LahHlkfk47Vx\nUsUlnL5g6E1lWhyu3QuhU5tHuNiLqrSZ78ipJfLmhEoPIHSoTNiUlV4bqKmlWEQJtOCfvA1CeljZ\nqzTGTx/6Mkm4fSq2T5ZBqSf5QEVsr1pOF2sec9qzl8TuXHRCBQyAg4IHNMUbiRT02rKwY8YNLGim\nNm3YYdPepsnYq9hhbICEAAU5ZWVCg6VGck+9OAyhqVfdDsiReIfWkVgBgjNNUfIQWpoJA4quwrEu\nMjGa+i/2fr2STRbq2b7sZGP1r50GPoa9p/Z+1Ly9Vu7N3xv5A+gonsEdz6HYYNNp7jkUysSluFFF\nFMTA0lLSZoKuFAoooC4tFFFKwroKKKKBi0ZpM0UWC4UUUUAFFFJQJgelFBNFMkKQ0UGgBM0UUGgY\nUZpKKAFzSZpM0UwFzRk0lBNIApKXPFJmmAUdRRSA0AmLRigHmjIoAoRAbBUgHNNh/wBWKkrUloUC\nl60UucUhWFxSgUgOacKljClooBpALSikzRSGLSikzRmgYUUYooEFFFFAwpKWigBDSYpaKYhuaQ0t\nIaYhtFLiimAYoApRSik2AmKAKWnL1OaLgUdbuDZ+H7yfOCqGvjXX7prvVpnJyS5/nX1v4+l8nwPf\nsDj5D/Svjmdi925z1Y1qtKHqwfxHUeHLYTPAnXdKoxX1vpEAttCs4QMbYwK+V/BNuZtY0+Fed0ik\n/nX1iF8q3ij/ALoFcj1q/IVPZiYpcc0CjvWhYUZooNACE0o6UlFMBaN21S3pzSVV1WY22lTyg4IX\ng0JXaQHlfi+/e81GQ9UBxUNvFFPpscUPMpYbvasa+1MXNzJEe7Hmtzw5BiyaYffYjBrRt82hCdza\nnghsrWKVuWjXmtTwzLBq96lwFw0Z9KwdYnMWngPksTya6/wHpy2+k/aCuGcmsq75VFLqaROtHAoJ\n4pDxims3zbaxLDd84FN8zM5WmM4ElV9/+lg1oo6ENkhkIvNvaqWszlZIwp71I82L8Vn6vJ/pKA9C\na3pw9/XsZy2ZY1OcNYR/SsWErtZvSrmpyBbdEz2rMRwkZ9K6KcbQSE9yJpxMzD0qpK+DjHBqfKqS\nQOtREAEg1stNDNozpyJN0TfdxWHGxiunj/hro5Ihkn1rntQDLNlRg1nVV4+glvckjHLUcKBu702E\nMUOetMdzwpHSuW/UssPhsLmq7uM7TTsNjdmjA2cgZp7i3HBxwKZL8vIqNGJJBNLctiDcD07UDJGf\n92NozmkByNvektnWWINjHtTmUB80ARzBlUADPPNTceWuOPWhn9utNxkUC33JxIMYPSo5GRTwagLF\n0OBgrVOKSV5WEgwvai+gyzPKzRgg85qRFDRBpOGA4NRNGrjHpQX3LsNTr1ETb8Qk96gaUuq7R83e\npI0+bBOR6Usy+THlR+NBSKVzMvmbP4yOtMtrdYAXydxp9xEG2uB8570lhcF5HjkT7vc1DYmX7a4U\nyhA1Oln/AH5QNzUMUMSz7lIzTJYttzvz96nfSw0WLeJzcEvytTyR7jhTxSwjdHwenWoZGcfcFJLQ\nOhd0y0+36xFGFyq9TXrVtCLa3SNRwoxXKeDNK8uH7TIvzN0rsaldzSK0A0UUmKYxaUUmKd0pAFLS\nUtABRSGjtQIKKM0hNABQKSlFMYuKMUUppCEwKUCkxRQA7FHWiigtC0UnWlFIArkPiNI6aEdrYHeu\nvrkPiHiTRTBlQzDvVR3FLY8AvJX1SUIpOyEdag+zXMsD3ClV8scfNV1rY2kLom4sw5qk7TJD9kIK\nB/4mrePRM4ql9WY19a3E8oO4EjkkGnSSQiyUSXDvMqnKY4rUtFt7eGVJOSw4aufntTl59y4VsEDv\nmrSTdxLVWY2zjm+zvLHJsLnbj605ImF2Q8m4xqDz60k0cltHGwYmJxuA9KgDSCIy4yGOCxo0RTuz\nQhImSRbqYlhjYuOKqXKpb3jQxgsqggmrN3Elo8MocOrL6+1Z/wBqZ0fYvzlhzRohRUm7ioYlj2qM\nyFu9TPGjRhlHXhqYIDI6rGCZAuTSqZFiNtjBzkmmgfe5TVCmSo6nirCq/kHJG5vXtUE27PyZKr1q\nYK8sG/GFyDUrTY0lsmyv5YiZX6gdaEIMMrdM9KdO/m4RV49qjQYk2k/KOopS0dkWrtaj3KC3DoMN\nVdAzIx7dzU08iMgjjQe5psK70aPcFGM0nbmHHSNxC2YcLwo/WkAEcZJHzHpTCw2bPQ05mLqT1wKl\nMqw1FYsccmlXdyo70sUpjU4HJpyv+73Z5pRSG2xMeWwZsH2qPO58npTl5cs3PekA3uTihoF5kqAn\n52GF7CmyhVUKDljzmkjZnO1j8opV2+Yx7CnvGwtmLJt2qqLyOtOWRYoCP4mogYMz9BUaxl9zdcGn\nfrEXkx78hcD5R1p2N5DfwLT5k8qCPLfeGSKZCwaVUAyncVb0dmTe6uhgjMokcdFqQBvLRF6tUiOE\ndo1H3+KkyPtKxr0UcmnGCWopSYO7W8QjHXuRTN5dST34pXCtMQDkUJG7z/7K9q01WxCsldjJYdmF\nzyecVOygY2nGBSSqFbcx+Y8UyXD4AOMiiyVxXbsQbS0obPU163pUb2+hW5hDAsAScdOK8phUtNGi\njOCK9n0KdZ9JhjAwAADmqoJczZFd7Iv2qH7PveYtxzSzpG1qVi+U+oqIxCBvKQ5VutSysIIdqgEG\nt27IzRBarc7IkVQwJGTmun0e036nDEFGMjNZen4+zAjggc12fhKxDyNcsM+hrlqu0bnTSWp16KEi\nVFHQUuTQTg0lcJ0XFpMUd6KAbDFBopM0CFFFJmkzQO4uaKQGkJoEOyKXNNHSgGgY7PNLTc0ZoKFJ\npc02jNAXHCijpSdaBXF70y4jE9tJGRnIp/SgdcdqAueQ6patZ6lNGw78VmzYUE9a7nxnprB/tSLx\n3rhcqSyscZ6VUWZMpZEgIIqB2WNgoHNWWwisw7VTdt0oyMZqyRs8bhWcdKW3lDwA59sVYZv3ezbn\n1qBIFYEqNoB6U7IT3D7vI7VJucgAnincKmQPwppTlSGO2mg2HFjjk9qY/wDqwWGVzyKmCqeOooYh\nQBjK+lV0C4iw4GR93HAqKXHGRimPNM0hEa8CmzyHy+eW7CpAsLK0RHy5SuM8aaHJcH7fCuePuqK6\n6N3CoCQCRzUkRW4SWBgMsMUnZ7hfW6PDCCrEHgipCAyDaDkdTXR+L9AGkXYKZKuck1zcbkDbnAPW\nsrWdmbqXMroVQHXH8dPjcbWjYDeRgH0qNlKksudvrTuHUngEfrVL8QYpbCEEZ9KhzT8smMj8KYc5\nqZMaQVIpwuAaiqReB0p09xsXBOPm5qQLMAeVI+tRgAgkrTwFUdHGfStFvchiuSUXcmB6io2wJBgH\n8amOfKDCTOD90mi48x41kMQUeoolsJOzCYN50RKgHI6GvWbSFrjwnFC3Vo+K8h3s2w7ssCMCvZvC\nzzT6BC00YVkAA9xXXhGnKXmcmKWkSvpyfZvD80V0PlBIwR2rgdQVZJnCDgHKivVdTt0nsZC2Bla8\nr1SMxTlgxAU9q2raaHND40ZBk8mZXMYyD0p00YnuC5G0HnAplwwkGVOcc0vn+YEc5G3gmuO8dmd6\nT0aG7UKuncDioduNm7pmp7gIJN0RyMZpLeRWyjgEnpmk0nJJlJtK4278reBH0qvt2Nz0NKyYYqeo\nqVAjW+5jyD0rN+8y17qRAQA2V6UqjIJzSvgH5elIAdpNR1K6Bg9xTlGFz3oLl1Ge1IGzgGmGpL97\npxXa/CfUfsHju1JbajgiuJfgjFaegXLWeu2Uo4IlUZ/EVckyVofbz84NMqKxmNxpsEx6uualrmNA\n70GiiqQmhKSlooEgooooCwUc0UGgLAKXNNzS0BewUUZo4oHa4UUlLQDYUZptANMkWjNFJQAtJRSZ\npDCjNBpKYBRRSE0AGc0UnelosK4UlLSUDYZozRSZpkgaKD0pKAFopKWgZTh/1YqUVHCPkFSg81oQ\ngzSikpaRQoFOHApoNLSsAuaM03NFKwDwaXNR5ozRYRJkUZpmaN1FirkmaA1MzRmlYCTcKTPNMoBo\nsFx+aXNMzS0WC4pNJijNGaLAFIRS5pKYhMUuKSloAKMUUtJgFKOTSClXrSBHIfFaTyvAF6c4yh/p\nXyNEvmXOPVq+pvjbdfZ/A7IP+WmR/KvlywGbpTjPNbydqUF6sJaXZ618LNKE3im2zzsUt+VfSEp+\nbmvFPg1amTWJ7hkwEUjP4V7Q5yxOa446zbCCtETNJnmkorYdxc0maSkzRYB2aM5ptGcUWC46sTxb\ncrb6I7MflIOa2h1rjPiVKyaEIh0ckE/hWlPSV+wdDyCztpLvWzMCRCCc13OgMPtDoD+6XgCs2xNh\nDGywkHCc/XFS6Sfs9u07vgucgVD7iSVzbvLebUL+K2RMpvG447V6fp9utrZRQoMBVHFcP4c8y4uk\nk28dzXfKRtBrGpLnnc0Wg5v5VWd/3ualZsDNULmXypVJ71UFcUmPZ8uarSzBX3d6SWVfNwD1FUWl\nyjjPIrojEgkuJys6OKoX83myhs/Shpd8O70qhcTBlFbxRLFup2cKCc4oLqbf3qlLN8lRvKfK4Nar\nYzu7kxYjHpQ5AzkjNRJJuWmsd5y3amwuI2Tz6Vi6iMS7sVrPuZvlPFZeoHgDvUSegrorwyA5OaG2\nEZ71S8sggq1Tsw2gMea5blIlV93yimMpOcGiKMKMk9aeRtGBTGVYxskOTyamZDjJGQe1Nm+Rwcda\nkiIJ5PFITEGFXCDFIWbZz96kdAGZieKRCNhJPFDBArsBhutJ5xLfSo/MbJBH0pQwCHjmlfqHUf5q\n5yPxqCWRDgjpTd+G2461GCq7kPQ0rgSpK0rjZ0HepJ32Op29aqp8gwh4zUsknyDPJoTGi0HAIOaW\n7kaSzIQcis+KQSsVYkGrao6xbM9qEw2IoS0kAB+8BTioDKAME9TUUaGAszNTJHZyGQ1KGSPKElCg\n8ml3sZgG6CqpTMisTVpnWPnGaV9RdS5FIwB2ng1b0uNru+jgxnJrKinLMOMA9BXf+DNFP/H1MuD1\nFK/QFdna2MC21pGgGMCpz1NHsO1HNBsFFFFIAp1NpaAtcdRjFIDS5oHYDSCnUhFAWEIpuKdTc80C\nQUZoNJTAdSg0ylFADs0Z5pM0maQh+c0opmaM0DuPpc0wGlzQO47PFcD8S1lktoRHnJHUV3ma4z4m\nQ7/D/mB9jAgA/jTjuJ7Hh15cXSGSxSPcytgyY6Vl3MDM628sxLnnIPStWaC6h8mMkFphkv61RlgM\nN6s7MGeNsFSewrZM5JLUzboLE6Q+ZyKrukTWlwqPzuGD61PqDw3WoowbbGeo98VRlVo4+hVT0z3r\nXQzZahmtGgijIJZU2nJ71XmsriI+SE/dycgY6A0gtSlqZcH5jxTY3lmkS3aQgvxk9hQ0C3INShkg\nkWKU4AHApEtRAYGDj96M49Oa0J9PWeCWV595iAxVSOB5dPkm6+UQBStZ3ZcZXjZDI45YL6Q+YAP5\n0sg3xSzhsY4pjSi4tU4PmZ6io2kaOI27fdPJ49aYcrb13HPGLe3TDBjJ1p7StHEEKYXGR71WiWSe\nVQfuLVudnuZMcLGo4ouEkr2ZUacRoSVGT0xTLdVMUkkh+lNmRud3bpSS8qqL3HNTqnqbJK2nUWCM\nFJJew4wabbQ+ZvkzgLzTpmCQLCvJPU0SgRwrGv3m9Kl6fId2/mRzxrgSJwp7UOBHCABy1LKNsKqe\nGz0pruZmVfSpluylshrD5V209o1SAc/OecUm3jryT0okjaN+aduo79Aiw554IHWkjDbiF70bgEwB\nyaQqVXg0hhgqzIPzpVGEP1pUmxEYwvJPWhmCR7RyT1oVrXDXYSNdzEjgDrT0DsjuOgpoYCLAHzGr\nEciiLYOh61UVfQmTZXAYx7nJPoKmTZE65BBI6004mkCjhVouMO6gHpxT2V0Ju+g63K+e8jnhORUk\nfyxNIT9+ovLCwkLye5qSRQIE9KuN0tSJWbHwmNBu7npTkkP2rg4UDNRNH8sKDqRk0s4WNgEOW6VV\n3Ymyb9RjsZpmcghegpJMl1I6VbumC28cQUBjyaqbtpAqZaXQ4u6uX9LtTNctt7V6bpkVzp+l72Ge\nNyj1rjPB8ElxqLRqB8wrt3sbyxlMs8/mxjhYwMYrpp2UbpHLUu53H6bqc11byz3MJjCkgZ71btFk\nu41nRsx56VBDBPPGwYqsZ7CrtuqWo8hXwlO1kNGvYxsTs/vcV6ZolqLTTY1xy1eeaUN88QHOSK9Q\ngG2CNf8AZFceJeyOyirK489aM0maO9cxoL3pCRmgmmmgBd1GabRmiwIdmjNNzRmiw7i5xRuHpTc0\nZp2ExwNJmkzR2osFx2aM4puaQNRYB+6lBpoNGaLAPBpc1HmnZpBuPzRnmm5pc0AV9RtFvbOSNhyR\nxXlGt6eNOkYMOQa9gBOfauV8XaMLqzaVFywoXYGeY7g0OQM5qvIg3KwHSrDAxMyEYIqF/wDUsc1S\neljKzImudsn3eDUsTKcgj3qtuxBkinxToMKT1q0DHhSGZuw7U5FyM/w0xRncpbr0oiJiQg8j0p7k\nsQssUhxkg1KXUwhu9V5Jh5g2Ln1omkKgDGRTsND3mCH7vX0qIOXiLMnApqy5Ygrk024mYIVRck9q\nQPYWNxJGJQpBHarNsrZEgXBJqnaTfuhGy4c9q0Y1KqOeafmFxmtaNDrdnscAOB1rxfVrFrDUJYCC\nApwK9vgunEuxl4PFZfibwrDqlqXgjHnHnNKUOZaDUuR3PG1k3AI33RTWQqNw6Z4q9qejXelTGOeM\nj3qgrFawfaRsrPVC+YScnmkZtzZpSVYDHB702k7lIOO1SqMiohUiqT0rSnuKQuOozipACMYcfjUY\n4Byf0pQDlea1RDHhiwdSmT7UNg2v+sOR/DmkTAlYMDToCxWRAAR70eQnoQjOwEDoetet+CtQjn0N\nYfM3OoAPPSvIh1IzXffDdy0k8RPBrXBy/eW7mOKj7lz0QKssDBhwK4fxStjCdsIUu3VfSu88zEZT\naMAVzZ0fTtZvJSGP2hOq8131E3oupxW2seTMm1yU6njFNXcimErwT1roNe0N9N1Fyn3DWMzBo2Rl\nw46GvOlCzszvjUUloV0RssF5xTolRwecMKarmEBh1zzUkw8siRB8rCpVvuLd72K7As2c804REMFJ\n60scbOxA44JpBhkHzfMKztrcu/RDZIzG+00inClTT2yw3nnFNIz8woas7oad1qCjOaG5xx0pq8HO\nacVbGe1LoHUeSCR7VPBLtuIXHBRwf1qBSqsO9TzHeOFxitNWiHo0fZfgi/8A7S8G6dcbgWMIzW8a\n8y+B+qx3fgxbXzAZIMLjPtXpZ61ztamlxaSjNFAXCiikoJDNGaSkoAdRnNJnNBpgLRSUA0h2FopK\nKAuKTSZozSZoDcM0d6SimAuaM0lFAC5pKKbk0JAKTRmkopibFzSUUUBcKQ0tJQIM0UUlOwCmkzSZ\npaLAFGaSjFFgFzRSUtAyrDjYKfmoY/uCnk1YtiTNLmouacAaCbskyKM0zFL2oHfQXPNG6kxzQRzS\nsNChhSbuaQjFNOadhXH7qXNR4p2KAQ/NKDTBml5pAmOzSimil70hjs0uabRRYB2aTNJmlosMXNJm\ngUUWAKKSnUCCijFLipASnLwabinIPmoY0eS/tA3Hl+HLOIH7zt/IV866eds4b05r3b9om4xbafD/\nALZP/jteF6eP3hJ6VrPaC8v1FPSLPpb4KYl0a6uCOS4wfwr0pjya4j4R2YtPBEUgXBlw3867Y9zX\nJQ1Tfmynokhc0hNJSV0WJHZpM0lGKYC5ooxSYoBi9xXG/EY406InkAnj8K7EcVxnxIIGnW6nux/l\nVQ3+TDoeO2nnx3kpUkKxFdzpWivcQC4mfEaj5RmuWt4d+pY3YiAya7ex3TQQokmIgRwDWT31HTR2\nvhmzEFqTxz0rpgMIM1k6PblIVH8IFa7YGOay9DQhmbawFZt+S8i47Voz/fBrPlUl2NawIe5TuCFk\nQjrjmsx5Skrj1qZ5XMzZ6Cs2SXdOxrpSJYJcEK6VTd+pH5U9W/eMccVVyfMY/wANXHQhivICuCKj\n8zHymo3bnNROWLhh0rS5BKtwfMIFTbwxwapRAmRjUoIJ60r6iJCcEgVkak2UYdK0mkHasm+bJKnv\nWc5aMpFC3MzMCBlauNbhvm75ptuTGuMYFWkC5yeuawjqBH5TgrnpTuFbPWpZmPGKhBBUmrsr2AY5\n+U7hn0qEMV5PSpXYKAD1pG2kUrdxMikdmXpwaQgmPFSEg4UcUzlZDzxSAZEWwAeoqOVG3bgealJ3\nKSvWmgsqZagZXmlMeMjJqMv8hYjIp8pXHI5NRsrJF/smpa1AjjlY/d5BqYvhckc1HAgWP5BU55XB\nFSOPcZCpkbdjFWy+zGGqqqso4okIHzBulL1BsSWXzXKGmj5CFHT1qASEyjA4PenGRhIYyOD0NILj\ni+ZAqnj1qeJ/4jyKqwMiSHceK2dE0q41a+jjiiPkZ+Y4pN2Vwjtc1fC+iHWr0PsIjjOc46161bWy\n2tukSDAHFRaXpUGl2qxwoEOOcCrx5oTZrGIzHOaSn4pMUXKY2ilxS0EjaWnUAUFIQUtFFAxM0Zpa\nbigAJpKUjikxTIEzSZpSKTFNAwzQKSkpgPzSZptFFhD80bqZmiiwx+cUbqZmlzSsFx4PNcV8Uo3f\nQFCHncOPxrs0JLivOviteXEUcMcJOByRS2YXujyHUo761jSSdsbh8gz0rPmzNaFnw02OcnqK3LmG\n61vTjdyvtWA5H86yraeJZPKeFSz/AHXI4FbO1kcrTUmY80KxFWWNPk5JzzUeoXD36W6BQioO3fmr\nzxxNNPtBkPT5elVUtLm2k8qdMv1AHYVfQlLW6GyXkn2VIY0HyEA5pCXGorJJHgBAcVBNIRLIi8fN\nu+hqOS5uriVIgGMjfKPU0/MVnsXYZk+xTBY9xJ5/OqgJSFoUYhX5arq6bdWqeW52Fxk5prWgmsnm\njJzHwwqkhN66GZbObWUFBuAPegTGe6e4ljG1ewp6RB7JnDgMD0NWRNbWkA+TexXp2pWSNHLW3Uhc\nRR2/m7iJJD8qgcVCgbzpN/UA4FMikEko3kbVOQPSpLp0jkRxxuHNGj1Faz5SsJFaKXzPvjpSKPKt\nVc4JYkUxgDcZx8ppHYyyiPoo6VF7epvYbFyWJGafDLtUyyDJH3ajVtmU7k09lCN5bn5KSehTVxQ7\n3Uu4gcCoVYq7EDpT42KOxB+U8Uq4RWYjr0pLXUNtAjG2My55zwKWSQvHuccnpTGI4U0EhgqelK9l\nYLa3Iy3THanK4CEEZY9KXahc84AFIyfLuP4UkpXuitAj+VuelPSPc+FP502OLfIFJwOtSTsq4WLt\n1NUvhuxN62QhGJdyjhetRiQlsgUodhEw9aUKY492OWpbvQNtx4bbGSvUmiVPmRlGeMmmxIACzngH\npVkygW5ZR1NaLWOpDdnoNLeXa4HLsaSWFv3caNknqKGj2+Xk5J5xVmF447eST/lp0FXy825DdtUM\nyIJcE5IGPpTVyX3IM9zURR5MqOWPJNOUNCQN/JHSjmfVaBbTzCR2c5z8wppG5wCeRVgIpt+OWJqM\nxFpMdMd6Uk9wUkdn4O0+QS/a4WO4LXcLOLlWFwwAx8wzWF4Rj+zaQWX5m21owQvJazT3KhGycD2r\nrhsjkk9bl9YhGgiiUbG75qx9kidFU9R6VUs2aSBSpyoPWr0AaNiGHLdKcio6nQ+HLcyXsaqDha9I\nAIUD0GK5HwfbfM0jDpXXtmvOxDvOx3wVoiUnelPSkrEdhCabmlNGKaAaTSZpxppFMVgzS5pMUYp6\nAGc0E0mKXFAMM0ZoC8UuKLgJilxS4pRSuAlLRQKQwpaSloYIKWk6UvWkMXnPWkkRZoijDINLinCk\nGp5h4s0E2UjzIvyN3FccylYSCa901WwTULF4nAPHFeO6rpkmn3TwyKcE8GqTM5aMxYAxjbfytQhV\n35HQGp1DQysnOw9KjuCBC2z71VYlocXG7NSNKETeOvcVWiO2FS3LdxSy/OcL37VSYmOEpKEovzNU\nLXLQKN/PPWgM0agAE564qGTfO2zGEHXNOxLbWxpRsWkBA+Vh1pv2dmud6P0FLBuVAuBtA61Om0ng\n4pjuyJ4VGHb747iktUnEjFjlT0qzgY3dVHWkD4Yn+Giw7llxsi34ywqe0uGaME96qecGG3NSW77f\nlNNOwJmf4x06K90OeYxgvEpOa8TJQjaRhsmvoSeP7VbyQNyrrg14Prti2n6vPAwIG4kfTNZ1NNS4\nb2KLqoPBpNmAD60lKOCM9qzVmaiYKnkVKGJGAOKRiZDmpFxjgVrGPYlvuIqlkOG4oKncmcHPpR97\nIUgfWlQ5kQAcj0qyRYvluCM4+tOtdhncPnn0pNp+0PnGf9qooCROecfSlfVCaumIQEmIxmul8E3J\nt9aIDEZHQVzYZBcZcErWvoFzHB4iidR8jNjmnSdppruKqrwa8j2AT5cNk4NFhDaLqL3EQxIwwcCo\niQThhhHHBq1bRxwybgAMivX2POijlvG2n3LbJohuQnnH1rhLu2IyGXa4Gc16vqVrcyROyvuUHOD6\nVw3iCNJ4VeEAMvDYrnq07psUZ8krHIxBS7RuvB70iDfbOndTxTj/AK4oPSm28e9JfmwRXHZXt6no\nPa/oR+bwOxximARmM54YUqrl13dD3olQJKQelY2drmqtew1ZNqleoNKVxGD2NNXglcdelBb5dpqb\n6Dt2EVdxxTwTtKMelMBwAR2pXJJ3etC0Q3qKDtxgVOrMEJPJNVx79KmXcFz27VcXYmSPYfgJqdrZ\n6zcWs8xSSUEqp6HivotsE89K+P8A4aXcFt43s3ujgMwUfXIr6/Ygxq6/dxkVjPcroJ070ZpuaSgL\nD80VHRk0WJH5pKbmjPFFh3FzS5pvakzRYLjyaSkzSZp2C4/NGaYTRSsIdmkzSZozTsULmkzSUUWF\ncdmjNNozRYBc0U0GloELRSUUALRSUmaAFopKM07ALTTS5pKaEwoopBTFsLmj8aTvRSKTFzRSUuaA\nK0S/uxTiKI/9WKcfeqAQCnCkyKWgAxRRS0hBijFGadxQOw0ik206lpXFYZtoAp1KKLjsJilApaUC\nlcLDdoFLinYoxSuOwzbS4p2KDQmFhuKMUtJVAFFJS0hC44pQKQHmnUrgGKXFGaM0igxinIPmBppN\nKh+akB4F+0ST9ssR2z/7LXjGnqWuI0H8TAfrXt/7RcOF02b1cj/x2vG/DUBudds4sZzKp/UVrXla\nKfkKWzPrvwbZjT/BWmwYwREM/ma2M8UyBBDY28Q4CpjFBNY0I2poHuPzSUzdmjdWwh+aXrTAadml\nYB1BFNzS5oAUc1x3xJCDRFduqk4/KuxB54rgfidcZsY7fu3+FXT+L5MHomcRo2ni72ygnaetdToN\nm0mrrDGf3CnOKxfDpFtZmI/eYV0mgyLDOhX78rVzz96NjWnotdz0mNRFCoTjikckuq96rR3LG4WE\ng/KMk037Ru1AgHhRQoktks8gD7c8iqFzPgEp0qOSfzL6UZ7Vm3E8kY8v1NbwhYlsikkId/es7PDt\n3qW6u0U7M/NUMjDy+O9bpEPciJPlE+tVCdoIq1KwWMLVByByTTs7Etkb52nBpqM3lHNOzkGoWfAx\nmmmTYVHZSfWoBM4mYEcVIxxg01eWJofcE7ixSB85BzmqN/t3g5q8pCk1l3MivP7CspaoZKi/IM1a\nXGRk8YqjFMJTj0q0vIxWcfICRyC3B4qFiFwPWnfdzmoJj8wNab6ibsTSICFqJlIlAz8tIZg2OelB\nbcaT2AWRRvHNVZCdxANJJOEY7j0pgmSYZHUVLaBMYpaNCGbmneduVUHU1FKM5aoNr+YrqcYqdkNj\n5DIZMYwBSvJkbSeKbO7Fcr170iMHUBlpNWFsOaVYgoBz9KiubvySpALA9qVoPnGDxVmG1DtggEUr\nhqWI2P2YSbeD2rNuJN2VHXNX7uURQ7AcYrOj/fOCBQ9gfYliXYgJHam/ao5SwBG5ac7srFSOKNL0\nh7vUV8sHa55qWHka3hvwxPrl98oIiHVq9m0LQbfRbMQxqCfU1H4c0iLS9PREUBiMk1tduKjzN4xs\nJRRRTLEpDTu1NpgIaSl69aSgTDNLnjim5oBosCHA0tMzSg0WC4tLSZ5paBXA0YozRQIaRTTTyaYa\naBiUGiimhDaXFFJn1qkMKMUZozQAUd6M0ZANIQ+LG4fWvOviXPHbXCtIAQwIANekwpgFiOK8k+Ir\npqmsi0B3NHyB+tJPW5VtLHCQKI9MvRdS7YHb5VHBzjiuOuVbyH5ZSnK89RW/rErF1hbKMnbtmsi4\ncTrmTO5fQVtF3VjlnpIrJHNa6eRgh5e3eoy1xCySMXOeCzHNTNdYv0aVsgLjH4VCt3m9CnLqAcAj\nFVZGSuD28soeVI9wDZYjsKfAyyxTT4AeFcoR2NRNfyRyTKnyh2yR6UadE0uqQ27/ACxyN8+T1FVz\nWHa4txc3twBJMeRwD60/Tbp47pwNu0IdykcHipdSwZ5pE/1UeAoH5VWjSKa5/d/KwUk89aNhbkM1\n+l0zwwQhWJ64GKWxhiNpPHOCzsMKc9OaSEIblxjb3BFJcPG0u2M4UdTQl3Ku9kVoY4zctEATgdah\nm27djdQeKvTRxW10rQEMrLyc+1RJAGt5pm5KnApqOlir2dyK7mjkiiRFG5RyRVeIAF5B2HekjRmg\ndyPxNOh2LauSOTUXvJPyNUuVWQ1IG8trlvug02Zmk2nHUUjkiFFycHtT44ZCHfHCiot0L82MIRbb\nn7+aV2MrKjEYA7CgR/6N5pPOelGYwgcN8/pijoBEwxyevalLDy+AQe5pWwSxb8BTVBdgp4FQyxgG\ncE9KmiQSZLH5RTWABK/wilDZwMYWhKz1E9ULuZmwvFLEuJcEggdaRMlGIpiludvSq7C7oWRcN7E1\nMymSRUHYVBvZ2VW6CrFvII5Wc9hTjLcUrpDBFuZ8nCr2qVI9tuSTkVDh5cnPLHip3UoscGep5q4v\nXmS/pkyvtcWL945kfoowKfJsWFV6MTSPhx8nCIPzNL/yyDMM+9Wl0M3vcYjNFvJIBJ5p8MXEkrfd\nA4zUWzznB55qxcNhUt04BHNOKsrsJdkV4Zfn68ZrQsIBfS+Wc8njFVvsykr5Z+tdD4YtB9uWTGVU\ninCDvZmVaa5brc9A8P2C6fYRxFGGRzuOavakdlmwWMsCMYFSrE7SK3mfIRwuKknXEeOprsS0sZWM\n6Bx9nRFGwdwetWrd3k2lmAIrOZpUkLSAbe2K1NOCOFHXNZtWZUFdnp/hSHZpwfu1bpPJzWZoCCLS\nIwO4FaWa8qo7ybPSjsIaTOKUmm4zSEBpKQmjNMQUnWjNJTQDh70UmaKGAuM04LSAU/NS2FhAtBAp\nc0ZFIdhMcU0cU4mmk5oEBpKDSGqQMXNLTKcKAFp4pop60mCFoFLRUlh0PtXPeKNBTULN5I1HmgZF\ndFSNhlYeoxQhNXR4FcK0cjxyphkODVF18ybcOCBjFek+IPCchW4vAPmJzgV5uymK8KupHOK0T2uY\n2B1U8D71QFWt2zgnNWzEXLMq9KqzzkQhsZwasTHAZw24DPODTnZGGNvHfFQyIJUjmUkEdRUvmkIC\nFz60Ii9iSNtowudvvSmZITtzy1V1lJ61Gzx+ZmQ1QXNDz9ke0HNNEhYleOaph1OWByM8Uqz/ADFh\nwBTQc2hcWTa/zEE1YhmDS7TWdFMvmZNLHMft4A4U0XHdG/G5TJznFeefEjSgTFqMS9eHI9hXcJOC\nxQHn6VU1bTU1PSri3lbkr8v1qZK6sHM1qjw0UvepLmBra5kiYEFWIqMVgux1eY5e9SpgLkn8KjQj\n86egBJ55reDIkOClh8q5xTjGRtfYy++aEk2HCLlu5p0ly5jUZ+oxVPlsZvmvoMT5roDOc0i7oLog\nYyfUZpBt85S/Q+lN25ucLlvrUPp6lf5DZ8+ac4z7VLbs4uISh+bIxio7kjzThdvtToDh4yF5DDmp\nTtMr7J7LpDXFxpcaTjEgXKt7VPpsVzPcsssg+X2qlZ3kraXbeWPmCAfpWxZkhldhhj1r2VqeWrXL\nE0QWJgW6jGM1wOqW32Dz52IaJiflrvri2+03IIYgAVjapo6SRyxMch+RRJN7Eyit2eTSurTtKi4B\n6A02NkLhCNpPWtvX9FWziXY3zZrnVUq6tu+avPlFwlZnZTlGcbolOxVMR6g8Gq1wrCTFWZuWLDqK\ngMpZSSKiouhtC+5DyrBiKcrKQ24cmgMWTkcU1lw2Kx22NdxNxxgdKcAcc9M00DHTtT92UI79aS8w\nfkKRsBU1JE5K7aidy2KkiGOK0i9dCWtNSxaXTWF/b3ajLQuHH4V9ieCddXxF4XtbwKQ20Ag+uK+N\n5E3rtFfQXwJ8UpcadJos7ASxnK+46VFSNhwaPYyOaSnPwabUDCjFFFFwEo7UtFFwsNoIp1GKdxWG\nYowacRRtouFhtFOxSYouIQ0lLRTGFGKUUdaAG9qTrTu1JimS9wopcUUhhSUtGKLgJRg0uKM0BYQ0\nlOpKYWEooooGGKQUtFArARSUpoFACCjFKKKAK0TfIKcTUMTYQU/dmqAkBFJnmmbqXcKAHg0uaYDR\nmkFiUUVHupdxpWAfml3VHupQ1FgH04UzNOBpMLju9BppNGaBjxRwBTN1GcilYB2aM03NJmnYB2aT\nNNpM07CH0ZpmaM0ASU4Gos04GpsMfmlzTAaC1FgHZoB5pmTSbqLBc8j/AGhrcy6Hp0wHCSMT/wB8\nivJPhhafbPG9ihGQMn8q91+N0KzeBDIRkpkj9K80+BGnJdeIpblhzCP5ilitaMV5W/EfU+i52AfA\n6VDvomfLn2qEtitox0E3qS7zShsioN4oDZFVYRYBqTNVlapA1TYCYGjNRZozSsBMrfNXA/EuHdbw\nyA9D/Su5B5rkvHVv9oihVjgE/wBKqHW3Zha6scvp1mLXTXuZ+hA21veGbNpNTguH+7tO0e1ZdzKk\n1v8AZT8qRqCPer/w/v5dS1KbPENqCo/LNc9VclO3f9TRas9CvXWBGcdcVztjeG4vpCM8davLem+v\nJUHKKcVWt44oZJ2QYJ4/Wtox923Uh6sQSD7RI681m3V1mbJPFOmk8rcVJ5NUrgqVGRzmtkiGyvNb\nGSVpCevSlIMUOGPWrErYRMVUv33FAtXoIST5ot7dBVHcs24qfu1cunCW4U96oxx7EY9M0MRG8u1M\nAde9QSk4B9Kfgk/N0BqJnzuC0ib3E88qpLd+lL5vyjH41AwEnU/dpEc85GAaluwLTQnEm5WOcCqE\niCTdg1YmXMW1DiqkAMasDzWbBkkSDbjNW0bag9arBlU07zOMUkO5YmcFOTzVSWT5D2pk77Nrc4NQ\nXE4EeD1NXsxbixnCZDfhTxP8+OlUY7hQm0nmpWcbcjqahMWgs4DggnOaZCFSMg/nUbvmMjvTo2xF\ntNTcYpmG08c1X81m+lTSbUUD1qBpFUgCjbcTv1JYpA3ykVI5CjPpVXJV89qkL857UhJjxLuOcVft\nyViLDg1St8NIeOKnd2QbR3oWhaehWZXnkYOc1JGqx4XGD60yNyspBPNWY7dpHB7VOtwXcZDbPLcb\nm5Ga7HQYooryHI281kWsaA7AOa6TQbVZbxN3ODVxhpcdj0uEjyUx0xTs1FHhYlA9KdmsbHQh9Jmk\nzSE0AKTTSaTNNJppCbHZppYU0tTdwFUkTcfupM0wtSbuaqwmyUGnZqINS7qTQ7koNLn3qLNLmlYL\nkmaN1Rg0uaVgHZpM0hNJmnYGBNNJ4pCeaaTVJCH5pCaZuppanYCXNGajzmlziiwD80Z6UzcKkgBe\nXGOKT0Vw3LMg2Wjc4O3Oa8U1Is+r3dxnzHBIB64r1/XrlbbSZSxwCuM14pdzSWUE86xSbJCSGas4\n6ovS9zhNbea6vCsjEFTgCi0cRsLZ7VXZx99s8VmX13LPevOrfvAfumnQteNullkKqVwG9DW9uxxO\nWrZDdJC14xYBdp6Cp5Y45wkkSKkh4CHioVgUIJpTwWP40S3MDXu5gVwQFK1otGQncpXdvNCz+Zt8\nxTg89anitml0x70ykSRjjFM1FWNwWdix960rSO3t4Htrh8JPGCOe5ouUmZTl47SJS+UY5IqRYGlu\n5ZLcLsKk4z0GKiuCkYeGJWkjXo3pRbsLa2Equ2WUhsH1ouFrIjgVtxfnAGCRUEIDTS5yQRVqeRYr\nWOOIsoblj61NpMlpZzy/aFL7kBX61WiYXdmzHQnEgVS2P0q1bXkqWTQLGu1uS2ansL2ygE5kjJ3k\n4qtcMIkVIwQG6GoVtzRu75bFaSWVo/Kz8me1MbLMsa9Kmn/cRhRgsaZCrRSguOTStrZmiel0OuTv\nljhX+HvSFpDO1uGwCeTUJcpKW6tSyKV2tk725NS29RqNrIklKxq8Oc7arkZAwOlO8tnlVc8mproq\nhES46DNJ63b2GtGkiAru5B4FDOCRgdKcMRLzyTTACQSBil6FIFjDKzE4xSGQ+WFx+NBdsbSMCnKo\nY5/hFT6D9RwKrakZ+YmiJWOADhe9Nkw/KL8ooySvy5wKu+upNtBwUK7N2WnbQsB3dXPApm7936k1\nLuDOGI4UdKegncWIFWUn+AVNIVNsZv4ieKhZiI2kIwHPFPtj5zxwsOM1on0RnJfaGRI5GO56CplR\n33RtwBU6DyblyVztHAp6owQs5+dz09KuMVsZyqFe3DW6Fz97otJco6BXzmRhn6VZmAJjxjanWhTH\nJ5spOcDCiqcV8IlPXmKkJdCueea7/wAHLC0chKbnXnGK4vToZbm7WEICWPHFeqabpcej7HUcsvzV\npRTWpnWd2aen3yXLsskDI68DIqzc58lippYCJV8zaoxxmo7vbEpYvwRW/qJPQqokM0Zb+LpV/Toc\nFFxyWH86yoVIjaRckZre8PAzzxZ+9mspPS44K8kep2CCKwhT0Wp81Go2xqPQUua8u2p6Fxxak3U0\nmm5p2FccWpu6mlqbuqrCJN1AIqHfSh6LATZFKDUIbmnKSaTQyYU7NRA0ualoaJM0VHmjNKwkx5OK\nTNJnIpM00hti5FJmkzTSxppE3H0oqME08HmhgSCnA1HmlBqSiXIozTM0ZNKwD80d6buo3UWEK6rK\njI44IrzXxj4U8ub7Vbr8hOWAr0nPNR3EKXUDRuAQRxmhaBa6PBZRLbfu1bCnqM1XkjVCe5NdL4m8\nNXVpPJOqnygc5rnYdhVmc5I7VcX3M3EgQnYRUKSAO6AgGpvM+fJHFQyQoZd68etWSwZP3ZYsDVGZ\nlkmERXgirOzqATinBYxIC2OBT6kNJqzIYo1gXZ27U+MLIxUU2Qln5Hy0zad++JuAOaEIdNJFZzoG\nb5j2q5FKhG4jHvWXP5clzG0qMxHercU8dw5iQY29aYKWprQzKSWUZqdZAVEnYGqcSLAARyPSnLdK\nytGRtXNNM0ZwHjzSRbX4vIV/dy9cdq4/dXs+rafBf6Y9s+CxGUJrx27tns7mSCVSHQ4IrGa5XdGl\nOV9CMAbc55p0ZwcHpTODR3oTtsaNFlTncwbaPSmMcoSH3DPQ03qMAdKlG3yySlabmeww/KyFRtPr\nT5S6XSsWAOBytNlH+rHJ9qS5UpMp2kcDrUu6QLVoS6YvLknNS20ZlCjzMDPQmmXT79reWF47CpLX\nPksREzEc5A6U1bndwfwaHqGl+bb2VsoPmKQOfwrZg1D7RGNkZBU4ORWN4euxcaLCxwGTjAreVUMP\nmQgDHXFerHZM81t3Zf3mTYV+XHWquojadx5B6VWj1KEyeUzbX9zV1mjmtzk5CjiqTTCWq1OC8TKk\ni7g3zAciuGlLLJkpx611/iS2keV5EfAHWuTbIbDnKmuOtfmNMLomNcGNRJ1Q1FJIvITgEVMuWiaH\nqOoqBoCNvI5NYTv0OyNupGpLKV9KRvmAzSyRNFJtNN74zWHkzVW3QDPWnhQyZHUUzG04NSwSrHkM\nM042vZg720Ix97FSqQDkUzchfIFSKyshGMNVR8iWAMrKducd66Dwjrc/h3xDZ38J/jAceorn4rho\nmIPQinbio3ITuHI9qrRonW59wWdx9r063uiMGSNWx9RUua4z4Xa8Nc8GwGSQNNGNhGeQBwK7Enn2\nFYo0fcdmjPNMzS0WAfmkzTc0uaVgHZozmkozQAtGaTNJmgBeKSkNITTsAtJSZozVEjqKbmlzQAtF\nJmkLUrDHUU3NLmiwhc0ZpucUZzRYBc0UhPFJmiwDyabSE00tnimkA8GioskUufeiwXJM0ZqPdS5p\n2Eh9FNBozSGPpM03NGaAMyKQ7BUokzxVCKTEYqTzTWjQy5vFJuqr5nvSiXFDYMth8U7fVLzc09ZR\nipsIt7qXdVUS8U7zOMZp2An304NVfeMdaUSCiw7FkPTlaq28U4SehpCLBY0m6od9LuBpWGSbqUNU\nO+k30WETFqTdUO80GSnYZLvozUG8etBkx0NAiYtSb+ag8zPek8zFOwFoP707fVPzO9OEmaTQy2Hp\nS3FVlfFLvpWQiYvkU0vzURem7weRTsM5L4ugS/Dq7J/hU/0rkfgNppt9NvL9hjzCAp/Ou58c2Uus\n+E7iwhGXcf1FJ4V0waHoEVoAFbHNKrDmjBeZSN+STJ5NRGTBqB5D3qNpe9aogteZmlEnFUvNpRL7\n8UDsaCSZqQNx1rOEo9alEvHWkTYuhj607eapiX1pwlzRYaLYc5rnvFZV1gEhwqtnP4VriQ5rn/FT\niaOOEHnNC6jON1KaRnk8sHaF61c8CalFpWialcyMFd2wAfoar6zKLSylYY34AxWVp2kz6hp8cqsy\nRM65X15rKcU7ev5DjuekaLd+Vowuyfmn+YVfMirYF/42JrOltPsthZWq9FAqd0JnSPPygAmrheyb\n9RFW5YgLxyTTLrazIAMYHNPlcS3wX+FRWfd3O26bByK3VjNjnJM4HYVFMyiYH0ojfzG3YxVeb5pQ\nEOfWnpYnUbfPvA9BVczfuBUl182EquflXb2o6ib0I3lLHAqugwWGeTTyDk4qCJss2alh0FRGVCc8\n04YKjNNVwC2TUIuBnBqJMBZZGSbH8NNV9pJ606VkdSAecVWjfaDu5qLiexKzBhmm+eMbe5qGQ8kA\n8VCCpHJ6UDT0Jb12CKBVeZkkQE9QKiurokDHQVUMu8jnFDZF9dB/XJ6EVJHKdoBqKQEgFe1PjcHt\nS0J1JQ2WqZWDDFVpMIhfP0pI3yu7OaTsUnYnucCMAHmqnltsznmn+ZuJ3fhTN/BIpA3ccSxZVHar\nKx7wFHU1FBuX5mXr0q2JBHESRz2pO44q41UkgO01NHICwLDOKqLNJM/PSnqsgk+WkUuyLcUKvMWx\nV3BQLsqO1A2+/epSMOFzVpdSi1bxnzN4PNdf4WTzLgk9RXLWalR1zXY+GyqyEgc1bWg1udkCQMUu\nar+aDSiUVk0aXJ80m6ofNFIZRS5R3JS1NLVE0gpnmcdapIRNvFMZ6gaQetMaUA9apIRMZKTf71WM\noz1pvmn1q7ITLqvz1p4eqSy09ZQT1pOIIuhuaXdVQSU9ZKmwyzupd1QCSl3CpsBNmm7qbu96aXos\nMeTTGao2k9aYXzVWFYk30m6oi9Jv96qwE27ijd71AXwOtN80ZxmnYC0GFXLL5iTWX5o6ZrU04fu8\n+tZVNIjW5z3j3UoLLSDHI2GfgV5ZNO9/ojIZkOwHaAK6X4uTKwjRyVHY/hXn+m2nkaNNcvKWixzg\n5qEnoNy1sceIpFuZXdd20/MRTrKY396sMbAKDwp704ZnaUwSbY5G6mqthGllqauWPyNkkV0W7HC+\nty7Pazw284baQOnHTmsxys5gUkAqeT+NaJ+03d9LFEu+GQdScYrMntzHeJEw8sBh82c0XBK2w69Y\nyTEJ13bRSzWjxXifapekYZQKlvIYxITE24b+tZ9w0jPl2JI4FUEX0Qvmqd6gHrUzvE6BIuCByPWo\nJI2WNMnGeopiSOtxmIY4pjsmtBpdQQhBO0c+1SXCKlsswYF242+gqLduZ3k65596nviJfJaKMDgD\nGfahdSvtIqJEG/dkjPXNDlpJ9rEYjFQk7GwM7s81LJbt97d1qd1Y02erGIVuLgmQ4VeacJc3Pmn7\nidKhI8ptndu9C/OSrNhRU6/Muy36D42H7yRhz2pse45mfkdqIQWjcDoKj8z9yUPrU9EO25JC5EjS\n9qhYl2ZqVgyIBng0IvBOeKl3dolJJajeSMntShsfSlBPC46mlmjEbBQc460ttUO/QUgSSKqnrTX+\nX5B0HWmoSDx1PSlkQo20nk0OTauFtbDi2Uwg+XvSKzFNgHHU0HCxrg9etSR/vCI0/E01qxdAgC7i\nW7U4kAEDqaaiEMxHRKSMliVHU1cdCXq7lgFGQeZ9xBgfWnxwiEJOW5J4HtUCKWyDzigvJtwegrTz\nsQ10TLQl33G3OCe9OO8S7s5qGONMhs5apHJMijGB3rTW2pk0r6Di5MXlj7x61CuVBjPQGnyMJGOw\nYAPWnWy+ZKqsMgmh6uwLRXOq8L6NdTzrchdsa85Ir0MacLtRM0hGwYxnrVPR7YwafGsTDDKMCt62\nhljsgs2A3c12RgoqxzL3tTHt4U3PF5rcnpk1JKsgmWLbujHUmnm3eK43w/MrHkmn38chUODgUWHb\nQpC6iXfEgxiun8JbGvIz3rmYol3hmHJrq/DEO29DYxisqq91mlH4j0ZmwcUzd71A0nPJppkA7151\njuZZL+9RmSq5mFMMoJqlERYZ896YXxUBmqPzC3NVYC1v96UPVTzRnmlEtFkFy6HHrUgfNU0dT3qR\nXA71LQy0GpwNVhJTxJSsInpN1ND5FNZ8ClYCXdSFqhMlNMvrSsBMXqMyVC84AqA3AznNUkBeDn1p\n4eqKzZ6GpUkB6mnYC6GpQ1V1f3p4cVm0NE+6jdUW4Uu4UWC5Luo3VHkU3dRYLkuaN2O9RF6TfRyh\ncW7tor62aGVQQw9K8k8SeHpNHuWKqTC3f0r1rzAOKzPENiNU0toQAXGMGiz2Dc8MdhHMVByO1Md8\nKfWun1nw4bIRtsI45NcxcqEk56DpRqtzGUXEqvM6MMClLbsE1HPLkbgOlMWRZACOoqkzF7lppMpi\nliwmB2aq7uMAUqzEIAR3p3DUtMVUABQaairCpYL8xNVEmkEhyvFWPNcqcDJNPmGW0uGcfKM0t5N5\nNmHVMvnmq1qHjG41pW0Ecm8s2c/wmjyLi9NTOuLiQ28csYLN6VznirSPtyfbIY8TAZdR3rr5YhHO\nPLHy1UkfZJlxuBO0j61TSejI1i+ZHkPIOD1qRF9a6TxPoJtp3urdf3bHJUdq5kE55rFLldmdcZKa\nuiQZB470902qM9zTAwAB7ims+45Bq7pIVnckmLBkXcD6YFNuWJcZbPApFZpJQR1FJK5kl569KmTv\nFjSs0SzBjboSwPtUli0ojk8p1HHIIqO5DJGisuD6g0y3RZGIaQrxTb9/QneB6d4TkiGigggsGO72\nrfiuYoIyzcp6CuC8KSTQfutheNmwTXYSIjw4U7T6V6cJPlPPlZSdiW1mhvHklMOADwavwmUKx2jZ\nWTpEbRrMpbdt5xV6G6VlEmSFJwQatK2jJ1scx4iO8ybF+XHOK4eURuccjGa7jX3NvqDbfuso4rhb\no7rrgY5rmrPW5WFTu7kRl2FcD2pjsXZjnpyKVsk4xwabnBZW61zs70kNcs65aoiehFTRAnOTxUeA\nCQaxauaLsBG5d2aavPWnNtA+Wm9ql6MaHYGRipIyDIaYpAApcZb5etVtqhMGXDc1Mq4UZ6VGpH8f\napVySM9DWkdyJHq3wKvXj8SzW5nYRuB8hJx3r6KkOGPp6V8i+BNQOjeM7OXfhGbBr6xM3mRRyhuG\nUEVDWpSd46E24U4NVUPTw/vQ0IsZpc1B5lOD0rASZNLuqLdSl6Vh3H5pN1Rl/Sml8U7ASl6QtURe\nm+ZTsBNuo3VXLUb6rlEyxuz3o3Cq++l3+hpWAsbhRu4qv5lG/iiwFjcKQtUG+k8yjlAnL0bxVbzK\nPM96fKBYL0F6reZSGXFFgLJam7/eq5m9DSeaKaQdSwXo31X82jzRRYCxupd9VfOApRKKOULloPTt\n9VhJSmQUcoFjeKN4qtv96TzB60coXRiJMNo5p3njOM4rLS5AReaRrsA1HOilqayzAHrSmfHGaxvt\nwB4oN7nvU842jaE3vT1mXPWsMXvHWk+3eho52JnQGYDvQJhjrWCt+c8ml/tHBoVQDd84HvSmYAda\nw/7QHc0f2gD3p84jeW4GMZp6zY71zv8AaAHQ0q6mfWk5j0Ok+0e9O88Y61zq6kD1YU4akPWlzjsd\nB54pDMKxV1AHvUi3qk9afOhcpqGb3o84Vlm8XPXik+1r61XOgSNJpM03zPes43o6Un2wYpc47GkJ\nOetHme9Zf2wetO+1jGc0c6CxpeZgdaUTDHWsz7WpHWm/bB2NHOg5TXWbmnebk5rGF6B3oGogd6OZ\nC5TZMme9MaUqeDWQdS96adQHXNHOOxqGbrmommzwTWW1+DVeS+bOQaOdiNV7gZGTUTXA7Gsc3bHk\nmm+eSOtHM0DNgy/7VHmnP3uKx/Pb1pfPfPWjmA2RLz1qZZsd6w1uW71KLkkYzS5gRuCcHvT1mXnm\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AseB1oSKWmgWwBfnk1LKPn+VuKrRZRyTQszvcBQverBm7pMKht/fFaEsxJx2pthAFtcng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- "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "for x in range(int(width/2)):\n", - " for y in range(int(height/2)):\n", - " (red,green,blue) = frame[x,y]\n", - " green = green*2\n", - " if(green>255):\n", - " green = 255\n", - " frame[x,y] = (red, green, blue)\n", - "\n", - "new_img_path = '/home/xilinx/jupyter_notebooks/Getting_Started/images/hdmi_in_frame1.jpg'\n", - "frame.save_as_jpeg(new_img_path)\n", - "Image(filename=new_img_path)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This frame() method is a simple way to capture pixel data, but processing it in Python will be slow. If you want to dump a frame at a specific index, just pass the index as an argument of the `frame()` method:" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# dumping frame at index 2\n", - "frame = hdmi_in.frame(2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If higher performance is required, the `frame_raw()` method can be used:" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# dumping frame at current index\n", - "frame_raw = hdmi_in.frame_raw()\n", - "\n", - "# dumping frame at index 2\n", - "frame_raw = hdmi_in.frame_raw(2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This method will return a fast memory dump of the internal frame list, as a mono-dimensional list of dimension `frame[1920*1080*3]` (This array is of fixed size regardless of the input source resolution). 1920x1080 is the maximum supported frame dimension and 3 separate values for each pixel (Blue, Green, Red). \n", - "\n", - "When the resolution is less than 1920x1080, the user must manually extract the correct pixel data. \n", - "\n", - "For example, if the resolution of the video input source is 800x600, meaningful values will only be in the range `frame_raw[1920*i*3]` to `frame_raw[(1920*i + 799)*3]` for each `i` (rows) from 0 to 599. Any other position outside of this range will contain invalid data." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "175\n", - "227\n", - "249\n" - ] - } - ], - "source": [ - "# printing the green component of pixel (0,0)\n", - "print(frame_raw[1])\n", - "\n", - "# printing the blue component of pixel (1,399)\n", - "print(frame_raw[1920 + 399 + 0])\n", - "\n", - "# printing the red component of the last pixel (599,799)\n", - "print(frame_raw[1920*599 + 799 + 2])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Frame Lists\n", - "To draw or display smooth animations/video, note the following:\n", - "\n", - "Draw a new frame to a frame location not currently in use (an index different to the current `hdmi.frame_index()`) . Once finished writing the new frame, change the current frame index to the new frame index." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The HDMI out controller\n", - "\n", - "Using the HDMI output is similar to using the HDMI input. Connect the HDMI OUT port to a monitor, or other display device. \n", - "\n", - "To instantiate the HDMI controller:" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from pynq.drivers import HDMI\n", - "\n", - "hdmi_out = HDMI('out')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For the HDMI controller, you have to start/stop the device explicitly:" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "hdmi_out.start()" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "hdmi_out.stop()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To check the state of the controller:" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0\n" - ] - } - ], - "source": [ - "state = hdmi_out.state()\n", - "print(state)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The state is returned as an integer value, with 2 possible values:\n", - "\n", - "* 0 if stopped\n", - "* 1 if running\n", - "\n", - "After initialization, the display resolution is set at the lowest level: 640x480 at 60Hz. \n", - "\n", - "To check the current resolution:" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "640x480@60Hz\n" - ] - } - ], - "source": [ - "print(hdmi_out.mode())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This will print the current mode as a string. To change the mode, insert a valid index as an argument when calling mode():" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "'1920x1080@60Hz'" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "hdmi_out.mode(4)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Valid resolutions are:\n", - "\n", - "* 0 : 640x480, 60Hz \n", - "* 1 : 800x600, 60Hz \n", - "* 2 : 1280x720, 60Hz \n", - "* 3 : 1280x1024, 60Hz \n", - "* 4 : 1920x1080, 60Hz \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Input/Output Frame Lists\n", - "To draw or display smooth animations/video, note the following:\n", - "\n", - "Draw a new frame to a frame location not currently in use (an index different to the current `hdmi.frame_index()`) . Once finished writing the new frame, change the current frame index to the new frame index." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Streaming from HDMI Input to Output\n", - "\n", - "To use the HDMI input and output to capture and display an image, make both the HDMI input and output share the same frame list. The frame list in both cases can be accessed. You can make the two object share the same frame list by a frame list as an argument to the second object’s constructor." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "'1920x1080@60Hz'" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from pynq.drivers.video import HDMI\n", - "\n", - "hdmi_in = HDMI('in')\n", - "hdmi_out = HDMI('out', frame_list=hdmi_in.frame_list)\n", - "hdmi_out.mode(4)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To start the controllers:" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "hdmi_out.start()\n", - "hdmi_in.start()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The last step is always to stop the controllers and delete HDMI objects." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "hdmi_out.stop()\n", - "hdmi_in.stop()\n", - "del hdmi_out\n", - "del hdmi_in" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.4.3+" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/docs/source/temp/6c_base_overlay_audio.tmp b/docs/source/temp/6c_base_overlay_audio.tmp deleted file mode 100755 index 2d9cdac59b..0000000000 --- a/docs/source/temp/6c_base_overlay_audio.tmp +++ /dev/null @@ -1,147 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Audio using the Base Overlay\n", - "\n", - "The PYNQ-Z1 board contains an integrated MIC, and line out connected to a 3.5mm jack. Both these interfaces are connected to the FPGA fabric of the Zynq chip. The Microphone has a PDM interface, and the line out is a PWM driven mono output. \n", - "\n", - "It is possible to play back audio from the board in a notebook, and to capture audio from other interfaces like HDMI, or a USB audio capture device. This notebook will only consider the MIC and line out interfaces on the board. \n", - "\n", - "The Microphone is integrated onto the board, as indicated in the image below. The MIC hole should not be covered when capturing audio. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![](images/pynqz1_audio.JPG)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Audio IP in base overlay\n", - "\n", - "To use audio on the PYNQ-Z1, audio controllers must be included in a hardware library or overlay. The *base* overlay contains a the PDM capture and PWM driver for the two audio interfaces as indicated in the image below:\n", - "\n", - "![](images/audio_block_diagram.jpg)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The Audio IP in the *base* overlay consists of a PDM block to interface the MIC, and an *Audio Direct* IP block to drive the line out (PWM). There are three multiplexors. This allows the line out to be driven from the PS, or the MIC can be streamed directly to the output. The line out can also be disabled. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Using the MIC\n", - "To use the MIC, first create an instance of the Audio class. The audio class can be used to access both the MIC and the line out. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from pynq.drivers import Audio\n", - "audio = Audio()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Capture audio\n", - "\n", - "Capture a 4 second sample from the microphone, and save the raw pdm file to disk:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Record a sample\n", - "audio.record(4)\n", - "# Save recorded sample\n", - "audio.save(\"Recording_1.pdm\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Playback on the board\n", - "Connect headphones, or speakers to the 3.5mm line out and playback the captured audio:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Play recorded sample\n", - "audio.play()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can also playback from a pre-recorded pdm file" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Load a sample\n", - "audio.load(\"/home/xilinx/pynq/drivers/tests/pynq_welcome.pdm\")\n", - "# Play loaded sample\n", - "audio.play()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.4.3+" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/docs/source/temp/9b_base_overlay_video.tmp b/docs/source/temp/9b_base_overlay_video.tmp deleted file mode 100644 index f88eaf0481..0000000000 --- a/docs/source/temp/9b_base_overlay_video.tmp +++ /dev/null @@ -1,676 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Video using the Base Overlay\n", - "\n", - "The PYNQ-Z1 board contains a HDMI input port, and a HDMI output port connected to the FPGA fabric of the Zynq chip. This means to use the HDMI ports, HDMI controllers must be included in a hardware library or overlay. \n", - "\n", - "The base overlay contains a HDMI input controller, and a HDMI Output controller, both connected to their corresponding HDMI ports. A frame can be captured from the HDMI input, and streamed into DDR memory. The frames in DDR memory, can be accessed from Python. \n", - "\n", - "A framebuffer can be shared between HDMI in and HDMI out to enable streaming." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![](images/pynqz1_video.JPG)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Video IO\n", - "The overlay contains two video controllers, HDMI in and out. Both interfaces can be controlled independently, or used in combination to capture an image from the HDMI, process it, and display it on the HDMI out.\n", - "\n", - "There is also a USB controller connected to the Zynq PS. A webcam can also be used to capture images, or video input, that can be processed and displayed on the HDMI out. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The HDMI video capture controller\n", - "To use the HDMI in controller, connect the on-board HDMI In port to a valid video source. E.g. your laptop can be used if it has HDMI out. Any HDMI video source can be used up to 1080p.\n", - "\n", - "To use the HDMI in, ensure you have connected a valid HDMI source and execute the next cell. If a valid HDMI source is not detected, the HDMI in controller will timeout with an error." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from pynq import Overlay\n", - "from pynq.drivers.video import HDMI\n", - "\n", - "# Download bitstream\n", - "Overlay(\"base.bit\").download()\n", - "\n", - "# Initialize HDMI as an input device\n", - "hdmi_in = HDMI('in')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The HDMI() argument ‘in’ indicates that the object is in capture mode. \n", - "\n", - "When a valid video input source is connected, the controller should recognize it and start automatically. If a HDMI source is not connected, the code will time-out with an error. \n", - "\n", - "## Starting and stopping the controller\n", - "\n", - "You can manually start/stop the controller" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "hdmi_in.start()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "hdmi_in.stop()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Readback from the controller\n", - "To check the state of the controller:" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2\n" - ] - } - ], - "source": [ - "state = hdmi_in.state()\n", - "print(state)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The state is returned as an integer value, with one of three possible values:\n", - "\n", - "* 0 if disconnected\n", - "* 1 if streaming\n", - "* 2 if paused\n", - "\n", - "You can also check the width and height of the input source (assuming a source is connected):" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "HDMI is capturing a video source of resolution 1920x1080\n" - ] - } - ], - "source": [ - "hdmi_in.start()\n", - "\n", - "width = hdmi_in.frame_width()\n", - "height = hdmi_in.frame_height()\n", - "print('HDMI is capturing a video source of resolution {}x{}'\\\n", - " .format(width,height))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## HDMI Frame list\n", - "The HDMI object holds a frame list, that can contain up to 3 frames, and is where the controller stores the captured frames. At the object instantiation, the current frame is the one at index 0. You can check at any time which frame index is active:" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "0" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "hdmi_in.frame_index()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `frame_index()` method can also be used to set a new index, if you specify an argument with the method call. For instance:" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "index = hdmi_in.frame_index()\n", - "hdmi_in.frame_index(index + 1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This will set the current frame index to the next in the sequence. Note that, if `index` is 2 (the last frame in the list), `(index+1)` will cause an exception. \n", - "\n", - "If you want to set the next frame in the sequence, use:" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "hdmi_in.frame_index_next()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This will loop through the frame list and it will also return the new index as an integer." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Access the current frame\n", - "There are two ways to access pixel data: `hdmi.frame()` and `hdmi.frame_raw()`." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/jpeg": 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vfBySegHWtzSPBeo6sysAYID1Z+K7jwr8P5ZSlx9maaXsSMoPwr1TTPBbxIrX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IJNdC3OOeosjkae00fyqpxtqlLcyf8ACPTxyIS8xKr7VY0xGudsc5wmdxFLrBQybI12woOP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\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/mVnJcAd6k8/PINS2gL3mUpkFUhLnvQZhQBbMnvTTKPWqplA71GZqALbSimeaKptNUbTE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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from IPython.display import Image\n", - "\n", - "frame = hdmi_in.frame()\n", - "orig_img_path = '/home/xilinx/jupyter_notebooks/Getting_Started/images/hdmi_in_frame0.jpg'\n", - "frame.save_as_jpeg(orig_img_path)\n", - "Image(filename=orig_img_path)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This will dump the frame as a list `_frame[height, width][rgb]`. Where `rgb` is a tuple `(r,g,b)`. If you want to modify the green component of a pixel, you can do it as shown below. In the example, the top left quarter of the image will have the green component increased. " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/jpeg": 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BJwO2apseaC7HNKIpGGdpxSvfRGkYqKIzRS7T6UEEdRUu5oJRRRSAfEpdwBV1SijDHGKq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8HrTlVVIk6r3qk9bE9Lgw6E/lQMqMjn+lEjBmyfu9qYXYnGPpTbSY0nYcSTkg0oBbjHPrTQ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\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AseB1oSKWmgWwBfnk1LKPn+VuKrRZRyTQszvcBQverBm7pMKht/fFaEsxJx2pthAFtcng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- "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "for x in range(int(width/2)):\n", - " for y in range(int(height/2)):\n", - " (red,green,blue) = frame[x,y]\n", - " green = green*2\n", - " if(green>255):\n", - " green = 255\n", - " frame[x,y] = (red, green, blue)\n", - "\n", - "new_img_path = '/home/xilinx/jupyter_notebooks/Getting_Started/images/hdmi_in_frame1.jpg'\n", - "frame.save_as_jpeg(new_img_path)\n", - "Image(filename=new_img_path)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This frame() method is a simple way to capture pixel data, but processing it in Python will be slow. If you want to dump a frame at a specific index, just pass the index as an argument of the `frame()` method:" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# dumping frame at index 2\n", - "frame = hdmi_in.frame(2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If higher performance is required, the `frame_raw()` method can be used:" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# dumping frame at current index\n", - "frame_raw = hdmi_in.frame_raw()\n", - "\n", - "# dumping frame at index 2\n", - "frame_raw = hdmi_in.frame_raw(2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This method will return a fast memory dump of the internal frame list, as a mono-dimensional list of dimension `frame[1920*1080*3]` (This array is of fixed size regardless of the input source resolution). 1920x1080 is the maximum supported frame dimension and 3 separate values for each pixel (Blue, Green, Red). \n", - "\n", - "When the resolution is less than 1920x1080, the user must manually extract the correct pixel data. \n", - "\n", - "For example, if the resolution of the video input source is 800x600, meaningful values will only be in the range `frame_raw[1920*i*3]` to `frame_raw[(1920*i + 799)*3]` for each `i` (rows) from 0 to 599. Any other position outside of this range will contain invalid data." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "175\n", - "227\n", - "249\n" - ] - } - ], - "source": [ - "# printing the green component of pixel (0,0)\n", - "print(frame_raw[1])\n", - "\n", - "# printing the blue component of pixel (1,399)\n", - "print(frame_raw[1920 + 399 + 0])\n", - "\n", - "# printing the red component of the last pixel (599,799)\n", - "print(frame_raw[1920*599 + 799 + 2])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Frame Lists\n", - "To draw or display smooth animations/video, note the following:\n", - "\n", - "Draw a new frame to a frame location not currently in use (an index different to the current `hdmi.frame_index()`) . Once finished writing the new frame, change the current frame index to the new frame index." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The HDMI out controller\n", - "\n", - "Using the HDMI output is similar to using the HDMI input. Connect the HDMI OUT port to a monitor, or other display device. \n", - "\n", - "To instantiate the HDMI controller:" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from pynq.drivers import HDMI\n", - "\n", - "hdmi_out = HDMI('out')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For the HDMI controller, you have to start/stop the device explicitly:" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "hdmi_out.start()" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "hdmi_out.stop()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To check the state of the controller:" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0\n" - ] - } - ], - "source": [ - "state = hdmi_out.state()\n", - "print(state)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The state is returned as an integer value, with 2 possible values:\n", - "\n", - "* 0 if stopped\n", - "* 1 if running\n", - "\n", - "After initialization, the display resolution is set at the lowest level: 640x480 at 60Hz. \n", - "\n", - "To check the current resolution:" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "640x480@60Hz\n" - ] - } - ], - "source": [ - "print(hdmi_out.mode())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This will print the current mode as a string. To change the mode, insert a valid index as an argument when calling mode():" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "'1920x1080@60Hz'" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "hdmi_out.mode(4)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Valid resolutions are:\n", - "\n", - "* 0 : 640x480, 60Hz \n", - "* 1 : 800x600, 60Hz \n", - "* 2 : 1280x720, 60Hz \n", - "* 3 : 1280x1024, 60Hz \n", - "* 4 : 1920x1080, 60Hz \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Input/Output Frame Lists\n", - "To draw or display smooth animations/video, note the following:\n", - "\n", - "Draw a new frame to a frame location not currently in use (an index different to the current `hdmi.frame_index()`) . Once finished writing the new frame, change the current frame index to the new frame index." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Streaming from HDMI Input to Output\n", - "\n", - "To use the HDMI input and output to capture and display an image, make both the HDMI input and output share the same frame list. The frame list in both cases can be accessed. You can make the two object share the same frame list by a frame list as an argument to the second object’s constructor." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "'1920x1080@60Hz'" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from pynq.drivers.video import HDMI\n", - "\n", - "hdmi_in = HDMI('in')\n", - "hdmi_out = HDMI('out', frame_list=hdmi_in.frame_list)\n", - "hdmi_out.mode(4)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To start the controllers:" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "hdmi_out.start()\n", - "hdmi_in.start()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The last step is always to stop the controllers and delete HDMI objects." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "hdmi_out.stop()\n", - "hdmi_in.stop()\n", - "del hdmi_out\n", - "del hdmi_in" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.4.3+" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/scripts/linux/makefile.pynq b/scripts/linux/makefile.pynq index fd175fa3e9..4fc2b085e1 100755 --- a/scripts/linux/makefile.pynq +++ b/scripts/linux/makefile.pynq @@ -17,51 +17,21 @@ REV_FILE = /home/xilinx/REVISION MAKE_DIR = $(dir $(realpath $(firstword $(MAKEFILE_LIST)))) -NOTEBOOK_IMAGES=adapter_mapping.JPG \ -adc_jumper.jpeg \ -als_oled_demo.JPG \ -arduino_iop.jpg \ -arduino_shield.jpg \ +NOTEBOOK_IMAGES=pynqz1_video.JPG \ +pynqz1_audio.JPG \ audio_block_diagram.jpg \ -cable_type.jpeg \ -command_mode.png \ dashboard_files_tab.png \ -dashboard_files_tab_btns.png \ dashboard_files_tab_new.JPG \ dashboard_files_tab_run.png \ +dashboard_files_tab_btns.png \ dashboard_running_tab.png \ edit_mode.png \ -example_notebooks.jpg \ -getting_started_notebooks.jpg \ +command_mode.png \ menubar_toolbar.png \ -pmod_closeup.JPG \ -pmod_grove_adapter.jpg \ -pmod_iop.jpg \ -pmod_pins.png \ -pmod_tmp2_8pin.JPG \ -portal_homepage.jpg \ -pynqz1_arduino_interface.jpg \ -pynqz1_video.JPG \ -pynqz1_audio.JPG \ -pynqz1_base_overlay.png \ pynqz1_board_io.JPG \ pynqz1_pmod_interface.jpg \ -pynqz1_quick_start.jpg \ -pynqz1_setup.jpg \ -samba_share.JPG \ -sdk_import_bsp.JPG \ -sdk_launch_shell.jpg \ -sdk_make.JPG \ -sdk_make_result.JPG \ -vivado_base_overlay.JPG \ -zynq_block_diagram.jpg - -DOC_TEMP_NOTEBOOKS := 3_jupyter_notebook.tmp \ -4_programming_python.tmp \ -5_programming_onboard.tmp \ -9a_base_overlay_iop.tmp \ -9b_base_overlay_video.tmp \ -9c_base_overlay_audio.tmp \ +als_oled_demo.JPG + USER_SCRIPTS := hostname.sh \ start_pl_server.py \ @@ -77,7 +47,7 @@ ROOT_SCRIPTS := 0_resizefs.sh \ ## if [ grep -q "Release 2016_09_14" "/home/xilinx/REVISION" ] ; then \ -update_pynq: revision_check xlnkutils pynq_package scripts_notebooks doc_temp_notebooks doc_notebooks doc_images pynq_permissions +update_pynq: revision_check xlnkutils pynq_package scripts_notebooks doc_notebooks doc_images pynq_permissions @echo "Notebooks folder is at: ${FINAL_NOTEBOOKS_DIR}" @echo "Scripts folder is at: ${FINAL_SCRIPTS_DIR}" @echo "" @@ -175,18 +145,13 @@ doc_notebooks: ${FINAL_NOTEBOOKS_DIR}/getting_started/2_programming_python.ipynb cp ${REPO_DIR}/docs/source/5_programming_onboard.ipynb \ ${FINAL_NOTEBOOKS_DIR}/getting_started/3_programming_onboard.ipynb - cp ${REPO_DIR}/docs/source/9a_base_overlay_iop.ipynb \ + cp ${REPO_DIR}/docs/source/8_base_overlay_iop.ipynb \ ${FINAL_NOTEBOOKS_DIR}/getting_started/4_base_overlay_iop.ipynb - cp ${REPO_DIR}/docs/source/9b_base_overlay_video.ipynb \ + cp ${REPO_DIR}/docs/source/9_base_overlay_video.ipynb \ ${FINAL_NOTEBOOKS_DIR}/getting_started/5_base_overlay_video.ipynb - cp ${REPO_DIR}/docs/source/9c_base_overlay_audio.ipynb \ + cp ${REPO_DIR}/docs/source/10_base_overlay_audio.ipynb \ ${FINAL_NOTEBOOKS_DIR}/getting_started/6_base_overlay_audio.ipynb -doc_temp_notebooks: - @for f in ${DOC_TEMP_NOTEBOOKS} ; do \ - cp ${REPO_DIR}/docs/source/temp/$$f ${REPO_DIR}/docs/source/$${f%.tmp}.ipynb || exit 1; \ - done - doc_images: @for f in ${NOTEBOOK_IMAGES} ; do \ cp ${REPO_DIR}/docs/source/images/$$f ${FINAL_NOTEBOOKS_DIR}/getting_started/images/ || exit 1; \