{ "cells": [ { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "slide" }, "tags": [] }, "source": [ "**Single-Stage Solvex Development** Cortix Tech 30Sep2025\n", "\n", "" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Use-Case 02: TBP-Diluent-H$_2$O-Air Mixing" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\"Cortix\n", "\n", "**Developer**: Valmor F. de Almeida, PhD
\n", "\n", "[Cortix Tech, Lowell, MA 01854, USA](https://cortix.tech)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Revision date: **02Dec25**" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Objectives\n", "\n", "- Develop usecase scenario for water extraction by TBP with a vapor phase.\n", "- Test implementation and present results.\n", "- Use AI assistants to help with information and reporting.\n", " + AI requests below may need to be executed multiple times if the result is not satisfactory or incorrect." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "'''AI assistance options'''\n", "# Set all to False if you do not have access to OpenAI API and/or AI codes below\n", "cortix_ai = True\n", "stage_ai = True" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "'''Generate proprietary knowledge database?'''\n", "db_save = False # set this to false if going public (online) with this notebook" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "'''Other helpers'''\n", "fig_count = 0\n", "tbl_count = 0\n", "markdown_display = True # if False code cell output is type: stream, else: markdown. Use True for in-house conversion to .md" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## System\n", "\n", "Single stage mixing of air, water, and TBP with inert diluent." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "scrolled": true, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[31384] 2025-12-02 15:40:12,335 - cortix - INFO - Created Cortix object \n", "_____________________________________________________________________________\n", " L A U N C H I N G \n", "_____________________________________________________________________________\n", " ... s . (TAAG Fraktur)\n", " xH88\"`~ .x8X :8 @88>\n", " :8888 .f\"8888Hf u. .u . .88 %8P uL ..\n", ":8888> X8L ^\"\"` ...ue888b .d88B :@8c :888ooo . .@88b @88R\n", "X8888 X888h 888R Y888r =\"8888f8888r -*8888888 .@88u \"\"Y888k/\"*P\n", "88888 !88888. 888R I888> 4888>\"88\" 8888 888E` Y888L\n", "88888 %88888 888R I888> 4888> \" 8888 888E 8888\n", "88888 `> `8888> 888R I888> 4888> 8888 888E `888N\n", "`8888L % ?888 ! u8888cJ888 .d888L .+ .8888Lu= 888E .u./\"888&\n", " `8888 `-*\"\" / \"*888*P\" ^\"8888*\" ^%888* 888& d888\" Y888*\"\n", " \"888. :\" \"Y\" \"Y\" \"Y\" R888\" ` \"Y Y\"\n", " `\"\"***~\"` \"\"\n", " https://cortix.org \n", "_____________________________________________________________________________\n", "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Overview

\n", "\n", "- This snippet sets up a Cortix simulation object, attaches a network, conditionally constructs a CortixAI helper, configures a few of its attributes, and (conditionally) calls its explain method with three arguments.\n", "\n", "

Imports

\n", "\n", "- from cortix import Cortix\n", "- from cortix import Network\n", "- from cortix import Units as unit\n", "- from cortix import ReactionMechanism\n", "- from cortix import Quantity\n", "\n", " - These imports bring top-level Cortix classes and utilities into the local namespace. In this snippet, Cortix and Network are used directly; Units (aliased unit), ReactionMechanism, and Quantity are imported but not referenced further.\n", "\n", "

System and network initialization

\n", "\n", "- system = Cortix(use_mpi=False, splash=True)\n", " - Instantiates the top-level Cortix object named system.\n", " - Keyword use_mpi=False requests a non-MPI (single-process) instantiation.\n", " - Keyword splash=True requests the library’s startup banner or splash behavior.\n", "\n", "- system_net = system.network = Network()\n", " - Creates a new Network() instance.\n", " - Assigns that instance to the attribute system.network and also to the local variable system_net, so both reference the same Network object.\n", "\n", "

Conditional CortixAI creation and configuration

\n", "\n", "- if cortix_ai:\n", " - The block executes only if the name cortix_ai exists in the current scope and evaluates as truthy.\n", " - Inside the block:\n", " - from cortix import CortixAI\n", " - Lazily imports CortixAI (only when the condition is true).\n", " - cortix_ai = CortixAI(llm_model='gpt-5-mini', llm_cleverness=0.8)\n", " - Reassigns the name cortix_ai to a newly created CortixAI instance configured with an LLM model identifier and a \"cleverness\" parameter.\n", " - cortix_ai.markdown_header_level = '

'\n", " - Sets an attribute on the CortixAI instance that controls the markdown header level it will use.\n", " - cortix_ai.n_chunks = 8\n", " - Sets an attribute that likely controls chunking behavior (number of chunks) on the CortixAI instance.\n", "\n", "

Second conditional and explain invocation

\n", "\n", "- if cortix_ai:\n", " - If cortix_ai is truthy in the current scope, this block calls:\n", " - cortix_ai.explain(markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)\n", " - The explain method is invoked with three keyword arguments:\n", " - markdown_display (a variable expected to exist in scope),\n", " - print_prompt set to False,\n", " - save_supporting_info set to the value of db_save (also expected to exist in scope).\n", " - No description of the method’s behavior is provided here (the snippet calls it but its internal effect is not detailed).\n", "\n", "

Runtime and name-resolution notes

\n", "\n", "- The conditionals use the name cortix_ai before it is assigned within the first block; therefore, at runtime:\n", " - If cortix_ai is not defined earlier in the surrounding scope, evaluating if cortix_ai will raise a NameError.\n", " - If cortix_ai is defined and truthy, the first block will reassign cortix_ai to a CortixAI instance; otherwise neither block runs.\n", "- The variables markdown_display and db_save used in the final call must also be defined elsewhere in scope for that call to succeed." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 3594\n" ] } ], "source": [ "'''Setup the base system'''\n", "from cortix import Cortix\n", "from cortix import Network\n", "from cortix import Units as unit\n", "from cortix import ReactionMechanism\n", "from cortix import Quantity\n", "\n", "system = Cortix(use_mpi=False, splash=True) # System top level\n", "system_net = system.network = Network() # Network\n", "\n", "if cortix_ai:\n", " from cortix import CortixAI\n", " cortix_ai = CortixAI(llm_model='gpt-5-mini', llm_cleverness=0.8)\n", " cortix_ai.markdown_header_level = '

'\n", " cortix_ai.n_chunks = 8\n", "\n", "if cortix_ai: \n", " cortix_ai.explain(markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'gpt-5': 'Full reasoning-intensive tasks', 'gpt-5-mini': 'Balance of speed and capability', 'gpt-5-nano': 'Speed and cost efficiency', 'gpt-4o-mini': 'Fastest at advanced reasoning', 'gpt-4o': 'Great for most tasks', 'gpt-4.1': 'Great for quick coding and analysis', 'gpt-4.1-mini': 'Faster than 4.1 for everyday tasks'}\n" ] } ], "source": [ "'''FYI LLM models info'''\n", "if cortix_ai:\n", " print(cortix_ai.llm_names_info)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Stage\n", "\n", "Instantiate a single stage to model and simulate the reactive mixing process." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "tags": [] }, "outputs": [], "source": [ "'''Import Stage'''\n", "from solvex import Stage" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "'''Create and Configure a StageAI Object'''\n", "if stage_ai:\n", " from stage_ai import StageAI\n", " stage_ai = StageAI(llm_model='gpt-5-mini', llm_cleverness=0.8)\n", " stage_ai.markdown_header_level = '

'" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Stage AI assistant: working on help...\n", "\n" ] }, { "data": { "text/markdown": [ "

Stage Description\n", "\n", "

Overview\n", "\n", "This document summarizes the main design, dataflow and runtime behaviour of the Stage module (solvent-extraction stage) implemented in stage.py. The Stage models three co-existing phases, reaction-driven species generation/consumption, and transport through inflow/outflow ports. It integrates a reaction mechanism, time-integrates mass balances, records phase histories and exposes history/diagnostic quantities.\n", "\n", "Below is the original stage schematics (copied verbatim from the module docstring):\n", "\n", "```\n", " Aqueous Organic\n", " External Product\n", " Feed\n", " | ^\n", " | |\n", " | |\n", " V |\n", " |---------------------|\n", " Vapor/Org inter-stage| | Vapor/Aqu inter-stage\n", " outflow <------------| |-----------> outflow\n", " | |\n", " Organic inter-stage | S O L V E N T | Aqueous inter-stage\n", " outflow <------------| E X T R A C T I O N |-----------> outflow\n", " | |\n", " | |\n", " Vapor/Aqu inter-stage| S T A G E | Vapor/Org inter-stage\n", " inflow ------------>| |<----------- inflow\n", " | |\n", " Aqueous inter-stage | | Organic inter-stage\n", " inflow ------------->| |<----------- inflow\n", " |---------------------|\n", " | ^\n", " | |\n", " | |\n", " V |\n", " Aqueous Organic\n", " Product External\n", " Feed\n", "```\n", "\n", "

Phases involved\n", "\n", "- The Stage explicitly manages three phase containers: aqueous phase, organic phase, and vapor phase.\n", "- Each phase is represented by a Phase (PhaseNew) object and holds species concentrations and a time-indexed history (rows are time-stamped).\n", "\n", "Note: information about a stage module is needed: stage\n", "\n", "

Module structure and key components\n", "\n", "- Class: Stage(Module)\n", " - Purpose: represent a single solvent-extraction contactor stage with mixing volume, flows and reactions.\n", " - High-level responsibilities:\n", " 1. Hold phase containers and inflow-parameter containers.\n", " 2. Accept a ReactionMechanism and map species into phase-local lists.\n", " 3. Assemble a global state vector for ODE integration.\n", " 4. Integrate the mass-balance ODEs over time steps with scipy.odeint.\n", " 5. Provide diagnostics and time histories (reaction rates, generation rates, efficiencies, mass-density, etc.).\n", "\n", "- Phases and inflows:\n", " - For each physical phase (aqueous, organic, vapor) there is a phase container created by methods:\n", " - __setup_aqueous_phase()\n", " - __setup_organic_phase()\n", " - __setup_vapor_phase()\n", " - For inflow parameter storage there are separate Phase containers created with names such as 'inflow-aqueous', 'inflow-organic', etc.\n", "\n", "

Important attributes\n", "\n", "- mix_vol: mixing volume for the stage (SI units).\n", "- vol_flowrate_org, vol_flowrate_aqu, vol_flowrate_vap_org, vol_flowrate_vap_aqu: configured volumetric flowrates.\n", "- volume_fractions: dictionary with phase volume fractions {'(o)':..., '(a)':..., '(v)':...}.\n", "- rxn_mech: ReactionMechanism instance assigned via add_reaction_mechanism(...).\n", "- phase containers: self.aqueous_phase, self.organic_phase, self.vapor_phase.\n", "- inflow containers: self.inflow_aqueous_phase, self.inflow_organic_phase, self.inflow_vapor_aqueous_phase, self.inflow_vapor_organic_phase.\n", "- ode solver parameters: self.__ode_params (contains temperature etc.).\n", "\n", "

Ports (existence and single-line listing)\n", "\n", "- The Stage exposes multiple ports for connecting inflows and outflows (feeds, products and inter-stage links). These ports are declared in self.port_names_expected when the Stage is constructed.\n", "\n", "ports = ['aqu-feed','org-feed','aqu-product','org-product','aqu-inflow','org-inflow','aqu-outflow','org-outflow','vap-aqu-inflow','vap-org-inflow','vap-aqu-outflow','vap-org-outflow']\n", "\n", "

Key methods (signatures only)\n", "\n", "- __init__(self, mix_vol, vol_flowrates, temperature)\n", "- add_reaction_mechanism(self, rxn_mech=None)\n", "- run(self, *args)\n", "- __call_ports(self, time)\n", "- __step(self, time=0.0)\n", "- __get_state_vector(self, time=None, cc_name='mass_cc')\n", "- __mbal_rhs_func(self, u_vec, time, params)\n", "- __update_outflow_mass_rates(self, u_vec)\n", "- __convert_mass_cc_to_molar_cc(self, u_vec)\n", "- __update_state_variables(self, u_vec, time)\n", "- r_vec(self, time=None)\n", "- g_vec(self, time=None)\n", "- rxn_efficiencies(self, time=None)\n", "- efficiency_history(self, rxn_id=None, mean=False)\n", "- mass_density_history(self, phase_name=None)\n", "- mass_balance_residual_history(self)\n", "\n", "

Brief code snippet: example of key class method signatures\n", "\n", "```python\n", "class Stage(Module):\n", " def __init__(self, mix_vol, vol_flowrates, temperature):\n", " ...\n", "\n", " def add_reaction_mechanism(self, rxn_mech=None):\n", " ...\n", "\n", " def run(self, *args):\n", " ...\n", "\n", " def __step(self, time=0.0):\n", " ...\n", "\n", " def __mbal_rhs_func(self, u_vec, time, params):\n", " ...\n", "```\n", "\n", "

The step method (what it does) and example snippet\n", "\n", "- Purpose: advance the internal stage state forward by one configured time_step.\n", "- Main actions performed in each step:\n", " 1. Build current state vector from phase containers (__get_state_vector).\n", " 2. Integrate the mass-balance ODE system over [time, time + time_step] using odeint and the RHS function __mbal_rhs_func.\n", " 3. Validate solver success and check mass conservation (optionally printing residuals).\n", " 4. Optionally compute and print total mass inflow/outflow rates.\n", " 5. Update all phase containers with the solution at the new time (via __update_state_variables).\n", "\n", "- Short representative snippet (extracted and condensed for clarity):\n", "\n", "```python\n", "def __step(self, time=0.0):\n", " u_vec_0 = self.__get_state_vector(time)\n", " t_interval = np.linspace(time, time+self.time_step, num=2)\n", "\n", " (u_vec_hist, info_dict) = odeint(self.__mbal_rhs_func,\n", " u_vec_0, t_interval,\n", " args=(self.__ode_params,),\n", " full_output=True)\n", "\n", " assert info_dict['message'] == 'Integration successful.'\n", " u_vec = u_vec_hist[1,:]\n", " time += self.time_step\n", "\n", " # mass-conservation checks, diagnostics, then update phase containers\n", " self.__update_state_variables(u_vec, time)\n", " return time\n", "```\n", "\n", "

mass-balance RHS function (role and signature)\n", "\n", "- Signature: __mbal_rhs_func(self, u_vec, time, params)\n", "- Role: compute dt_u (time derivatives of the global state vector) to be consumed by the ODE integrator. It:\n", " - Enforces non-negativity on u_vec (clips negatives to zero).\n", " - Updates state-derived outflow mass rates from u_vec (__update_outflow_mass_rates).\n", " - Converts mass concentrations to molar concentrations (per phasic-volume basis) for reaction computations (__convert_mass_cc_to_molar_cc).\n", " - Calls the reaction mechanism to obtain species generation rates per mixing-volume (g_vec = rxn_mech.g_vec(...)).\n", " - Assembles dt_u for each phase by combining inflow/outflow mass flow rates, reaction generation (converted to mass units via molar mass) and dividing by phase volume fraction (phi).\n", " - Returns dt_u as a numpy array of length = total number of species in rxn_mech.\n", "\n", "

Ports usage and call ports in time stepping\n", "\n", "- Ports are used to exchange mass-flowrate vectors and timestamps with neighbouring stages/modules.\n", "- __call_ports(time) is invoked after every successful __step to:\n", " - Send/receive data on inflow ports (e.g. 'aqu-inflow') and update inflow parameter containers if connected.\n", " - Receive outflow requests and respond when this Stage is a supplier.\n", "- Typical port usage pattern in run():\n", " 1. Before stepping, __update_mass_inflow_rates() collects parameter inflow mass rates from inflow Phase containers (or from connected ports if present).\n", " 2. At each time-step iteration in run(), Stage perturbs inflow rates if requested, calls __step(), then __call_ports(time) to exchange current mass-rate data with connected neighbours.\n", "- The port API used by Stage includes send() and recv() helpers (inherited from Module). The logic in __call_ports ensures consistency checks (time match) and that received mass-rate arrays have the expected length.\n", "\n", "

Time stepping and run()\n", "\n", "- run(self, *args) is the driving loop that:\n", " - Rebuilds logger, ensures end_time is at least initial_time + time_step.\n", " - Calls __update_mass_inflow_rates() at start to pick up parameter inflows.\n", " - Enters a while loop advancing time until end_time:\n", " - Optionally log progress.\n", " - Optionally perturb inflow rates (__perturb_mass_inflow_rates).\n", " - Call __step(time) to integrate one time_step.\n", " - Call __call_ports(time) to exchange mass-rate data.\n", " - After finishing, final summary logging is performed if requested.\n", "\n", "

Data history and diagnostics\n", "\n", "- Each phase is a time-stamped table: phase.add_row(time, values) records mass concentrations for species.\n", "- Utility methods exposed include:\n", " - r_vec(time=None): instantaneous reaction rate density vector (mol/vol/time).\n", " - g_vec(time=None): instantaneous species generation rate density vector (mol species/vol/time).\n", " - rxn_efficiencies(time=None): computes per-reaction conversion efficiencies (useful for heterogeneous reactions with mass transfer).\n", " - r_vec_history, g_vec_history, efficiency_history, mass_density_history, mass_balance_residual_history: assemble pandas Series wrapped in Quantity objects for plotting/analysis.\n", "\n", "

Usage notes for code users\n", "\n", "- Typical workflow:\n", " 1. Instantiate Stage(mix_vol, vol_flowrates, temperature).\n", " 2. Create and add a ReactionMechanism via add_reaction_mechanism(...). This sets up all species and global ids used in state vectors.\n", " 3. Optionally seed inflow Phase containers (inflow_aqueous_phase, inflow_organic_phase, ... ) with species concentrations (these are parameters used to compute mass inflow rates).\n", " 4. Configure simulation timing (initial_time, end_time, time_step) and logging verbosity.\n", " 5. Connect ports if composing multiple Stage modules; otherwise the Stage will use local inflow parameter containers.\n", " 6. Call run(...) with appropriate context (in the example, run receives args whose first item is a logger-like object containing a name).\n", "\n", "- When connecting modules: ensure connected ports exchange a (time, mass_rates_array) tuple where the mass_rates array matches the expected species count for the phase.\n", "\n", "

Summary\n", "\n", "- Stage is a compact, phase-aware transient mass-balance solver for a solvent-extraction mixing stage. It separates phases into independent containers, maintains inflow parameter containers, integrates a global mass-balance ODE assembled from phase-local species, and exchanges mass-rate information via ports. The two critical pieces for extension or integration are the reaction mechanism (ReactionMechanism) and correct wiring of ports when composing multiple stages.\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ RAG = stage.py\n", "+ Total # of tokens = 18726\n", "Done with help...\n" ] } ], "source": [ "if stage_ai:\n", " stage_ai.help('stage', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'gpt-5': 'Full reasoning-intensive tasks', 'gpt-5-mini': 'Balance of speed and capability', 'gpt-5-nano': 'Speed and cost efficiency', 'gpt-4o-mini': 'Fastest at advanced reasoning', 'gpt-4o': 'Great for most tasks', 'gpt-4.1': 'Great for quick coding and analysis', 'gpt-4.1-mini': 'Faster than 4.1 for everyday tasks'}\n" ] } ], "source": [ "'''FYI LLM models info'''\n", "if stage_ai:\n", " print(stage_ai.llm_names_info)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Configuration" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "
Overview
\n", "\n", "- The snippet constructs a solvent-extraction Stage object with specified mixing volume, phase flowrates, and temperature, then attaches it to a system network and conditionally invokes a Cortix AI helper.\n", "\n", "
Imports and intent
\n", "\n", "- from solvex import Stage: the code uses the Stage class from the solvex package to represent a solvent-extraction module (a unit operation that mixes phases).\n", "\n", "
Configured quantities (variables and units)
\n", "\n", "- mixing_volume: a volume value set to 1 L (using a units-aware quantity, e.g., unit.L).\n", "- mixing_vol_flowrate_aqu: aqueous-phase volumetric flowrate set to 500 mL/min.\n", "- mixing_vol_flowrate_org: organic-phase volumetric flowrate set to 600 mL/min.\n", "- mixing_vol_flowrate_vap: a tuple of two values computed as percentages of the org and aqu flowrates:\n", " - first element: 3.7% of the organic flowrate (3.7 * mixing_vol_flowrate_org / 100).\n", " - second element: 8.1% of the aqueous flowrate (8.1 * mixing_vol_flowrate_aqu / 100).\n", "- mixing_vol_flowrates: a list bundling the phase flowrates in the order [organic, aqueous, vapor].\n", "- stg_temperature: the stage temperature obtained by converting 40 °C to Kelvin using unit.convert_temperature(40, 'C', 'K').\n", "\n", "
Stage creation and system integration
\n", "\n", "- stg = Stage(mixing_volume, mixing_vol_flowrates, stg_temperature):\n", " - Instantiates a Stage object with the given total mixing volume, the list of per-phase volumetric flowrates, and the temperature in Kelvin.\n", " - The Stage likely encapsulates behavior and state for a solvent-extraction stage (mass/volume balance and mixing), as represented by the solvex Stage class.\n", "- system_net.module(stg):\n", " - Adds the created Stage instance to the system network object system_net (registers the module within the larger process/network model).\n", "\n", "
Conditional Cortix AI call
\n", "\n", "- if cortix_ai:\n", " - The code checks whether a cortix_ai object/reference is truthy; if so, it calls cortix_ai.explain(...) with parameters markdown_header_level='
', markdown_display=markdown_display, save_supporting_info=db_save.\n", " - No further description of the explain() implementation is provided here.\n", "\n", "
Type and evaluation notes
\n", "\n", "- Numeric operations combine unit-bearing quantities; e.g., multiplying a unit-aware flowrate by a scalar and dividing by 100 yields another quantity with the same flowrate units.\n", "- The vapor flowrates are provided as a tuple of two computed quantities (percent-based contributions), then placed into the list with the other flowrates, so the Stage receives a mixed-type iterable of per-phase flowrate quantities.\n", "- Order matters: the flowrates list is explicitly [org, aqu, vap], so the Stage will interpret the first element as organic flow, second as aqueous, third as vapor." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 3372\n" ] } ], "source": [ "'''Create Stage and add system'''\n", "from solvex import Stage\n", "\n", "# Initialization\n", "mixing_volume = 1*unit.L\n", "# Aqueous phase\n", "mixing_vol_flowrate_aqu = 500*unit.mL/unit.min\n", "# Organic phase\n", "mixing_vol_flowrate_org = 600*unit.mL/unit.min\n", "# Vapor phase\n", "mixing_vol_flowrate_vap = (3.7*mixing_vol_flowrate_org/100, 8.1*mixing_vol_flowrate_aqu/100) # percentage of (org, aqu)\n", "\n", "mixing_vol_flowrates = [mixing_vol_flowrate_org, mixing_vol_flowrate_aqu, mixing_vol_flowrate_vap]\n", "\n", "stg_temperature = unit.convert_temperature(40, 'C', 'K')\n", "\n", "stg = Stage(mixing_volume, mixing_vol_flowrates, stg_temperature) # Create solvent extraction module\n", "\n", "system_net.module(stg)\n", "\n", "if cortix_ai:\n", " cortix_ai.explain(markdown_header_level='
', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Flow residence time [s]: average = 5.160e+01\n", "Aqueous volume fraction = 4.300e-01\n", "Organic volume fraction = 5.160e-01\n", "Vapor volume fraction = 5.393e-02\n" ] } ], "source": [ "print('Flow residence time [s]: average = %5.3e'%stg.flow_residence_time_avg)\n", "print('Aqueous volume fraction = %5.3e'%stg.volume_frac_aqu) \n", "print('Organic volume fraction = %5.3e'%stg.volume_frac_org) \n", "print('Vapor volume fraction = %5.3e'%stg.volume_frac_vap) " ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "tags": [] }, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "network-0\n", "\n", "\n", "\n", "0\n", "\n", "Stage\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "'''Draw the Cortix network system'''\n", "system_net.draw(engine='circo', node_shape='folder', ports=True)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "'''For help purposes'''\n", "import solvex.stage" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Documentation options:\n", "\n", " + Live in this notebook run on *code* cell: `help(solvex_ustc.stage)`\n", " + On the web: [source](https://github.com/dpploy/solvex/blob/main/src/stage.py)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "scrolled": true, "tags": [ "scroll-output" ] }, "outputs": [], "source": [ "# Poor's man help\n", "#help(solvex_ustc.stage)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Reaction Mechanism\n", "\n", "Contacting water, inert diluent and TBP, and air." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Water extraction example" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "WARNING: ReactionMechanism: user must implement a H2O*[C4H9O]3PO(o) product partition function with signature (rxn_mech, temperature, spc_molar_cc, arg_dict) function for [C4H9O]3PO(o) + H2O(a) <-> H2O*[C4H9O]3PO(o) \n", "WARNING: ReactionMechanism: user must implement a [H2O]2*[[C4H9O]3PO]2(o) product partition function with signature (rxn_mech, temperature, spc_molar_cc, arg_dict) function for 2 [C4H9O]3PO(o) + 2 H2O(a) <-> [H2O]2*[[C4H9O]3PO]2(o) \n", "WARNING: ReactionMechanism: user must implement a [H2O]6*[[C4H9O]3PO]3(o) product partition function with signature (rxn_mech, temperature, spc_molar_cc, arg_dict) function for 3 [C4H9O]3PO(o) + 6 H2O(a) <-> [H2O]6*[[C4H9O]3PO]3(o) \n", "WARNING: ReactionMechanism: user must implement a H2O(v) product partition function with signature (rxn_mech, temperature, spc_molar_cc, arg_dict) function for H2O(a) <-> H2O(v) \n", "WARNING: ReactionMechanism: user must implement a O2(a) product partition function with signature (rxn_mech, temperature, spc_molar_cc, arg_dict) function for O2(v) <-> O2(a) \n", "WARNING: ReactionMechanism: user must implement a N2(a) product partition function with signature (rxn_mech, temperature, spc_molar_cc, arg_dict) function for N2(v) <-> N2(a) \n" ] } ], "source": [ "args_dict = {'water_activity': 1.0}\n", "file_name = 'tbp-h2o-air.txt'\n", "rxn_mech = ReactionMechanism(file_name=file_name, order_species=True, args_dict=args_dict)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "#'''User input'''\n", "#rxn_mech.cat_input()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "#'''Show Mechanism'''\n", "# Jupyter Book does not render LaTeX through IPython.display(Markdown)\n", "#rxn_mech.md_print()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "#'''Species and reactions manual output'''\n", "#print(len(rxn_mech.species_names), ' **Species**\\n', rxn_mech.latex_species)\n", "#print(len(rxn_mech.reactions), ' **Reactions**\\n', rxn_mech.latex_rxn)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "10 **Species**\n", " \\begin{align*} \n", " &{\\mathrm{H}_{2}\\mathrm{O}}_\\mathrm{(a)}, {\\mathrm{H}_{2}\\mathrm{O}}_\\mathrm{(v)}, {\\mathrm{H}_{2}\\mathrm{O}\\bullet[\\mathrm{C}_{4}\\mathrm{H}_{9}\\mathrm{O}]_{3}\\mathrm{P}\\mathrm{O}}_\\mathrm{(o)}, {\\mathrm{N}_{2}}_{\\mathrm{(a)}}, {\\mathrm{N}_{2}}_{\\mathrm{(v)}}, {\\mathrm{O}_{2}}_{\\mathrm{(a)}}, {\\mathrm{O}_{2}}_{\\mathrm{(v)}}, {[\\mathrm{C}_{4}\\mathrm{H}_{9}\\mathrm{O}]_{3}\\mathrm{P}\\mathrm{O}}_\\mathrm{(o)}, \\\\ \n", " & {[\\mathrm{H}_{2}\\mathrm{O}]_{2}\\bullet[[\\mathrm{C}_{4}\\mathrm{H}_{9}\\mathrm{O}]_{3}\\mathrm{P}\\mathrm{O}]_{2}}_{\\mathrm{(o)}}, {[\\mathrm{H}_{2}\\mathrm{O}]_{6}\\bullet[[\\mathrm{C}_{4}\\mathrm{H}_{9}\\mathrm{O}]_{3}\\mathrm{P}\\mathrm{O}]_{3}}_{\\mathrm{(o)}}\\end{align*}\n", "6 **Reactions**\n", " \\begin{align*} \n", "{\\mathrm{H}_{2}\\mathrm{O}}_\\mathrm{(a)}\\ + \\ {[\\mathrm{C}_{4}\\mathrm{H}_{9}\\mathrm{O}]_{3}\\mathrm{P}\\mathrm{O}}_\\mathrm{(o)}\\ &\\longleftrightarrow \\ {\\mathrm{H}_{2}\\mathrm{O}\\bullet[\\mathrm{C}_{4}\\mathrm{H}_{9}\\mathrm{O}]_{3}\\mathrm{P}\\mathrm{O}}_\\mathrm{(o)}\\\\ \n", "2.0\\,{\\mathrm{H}_{2}\\mathrm{O}}_\\mathrm{(a)}\\ + \\ 2.0\\,{[\\mathrm{C}_{4}\\mathrm{H}_{9}\\mathrm{O}]_{3}\\mathrm{P}\\mathrm{O}}_\\mathrm{(o)}\\ &\\longleftrightarrow \\ {[\\mathrm{H}_{2}\\mathrm{O}]_{2}\\bullet[[\\mathrm{C}_{4}\\mathrm{H}_{9}\\mathrm{O}]_{3}\\mathrm{P}\\mathrm{O}]_{2}}_{\\mathrm{(o)}}\\\\ \n", "6.0\\,{\\mathrm{H}_{2}\\mathrm{O}}_\\mathrm{(a)}\\ + \\ 3.0\\,{[\\mathrm{C}_{4}\\mathrm{H}_{9}\\mathrm{O}]_{3}\\mathrm{P}\\mathrm{O}}_\\mathrm{(o)}\\ &\\longleftrightarrow \\ {[\\mathrm{H}_{2}\\mathrm{O}]_{6}\\bullet[[\\mathrm{C}_{4}\\mathrm{H}_{9}\\mathrm{O}]_{3}\\mathrm{P}\\mathrm{O}]_{3}}_{\\mathrm{(o)}}\\\\ \n", "{\\mathrm{H}_{2}\\mathrm{O}}_\\mathrm{(a)}\\ &\\longleftrightarrow \\ {\\mathrm{H}_{2}\\mathrm{O}}_\\mathrm{(v)}\\\\ \n", "{\\mathrm{O}_{2}}_{\\mathrm{(v)}}\\ &\\longleftrightarrow \\ {\\mathrm{O}_{2}}_{\\mathrm{(a)}}\\\\ \n", "{\\mathrm{N}_{2}}_{\\mathrm{(v)}}\\ &\\longleftrightarrow \\ {\\mathrm{N}_{2}}_{\\mathrm{(a)}}\\\\ \n", "\\end{align*} " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Sanity Check" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Is mass conserved? True\n", "# reactions = 6\n", "# species = 10\n", "rank of S = 6\n", "S is full rank.\n", "S=\n", " [[-1. 0. 1. 0. 0. 0. 0. -1. 0. 0.]\n", " [-2. 0. 0. 0. 0. 0. 0. -2. 1. 0.]\n", " [-6. 0. 0. 0. 0. 0. 0. -3. 0. 1.]\n", " [-1. 1. 0. 0. 0. 0. 0. 0. 0. 0.]\n", " [ 0. 0. 0. 0. 0. 1. -1. 0. 0. 0.]\n", " [ 0. 0. 0. 1. -1. 0. 0. 0. 0. 0.]]\n" ] } ], "source": [ "'''Data check'''\n", "print('Is mass conserved?', rxn_mech.is_mass_conserved())\n", "rxn_mech.rank_analysis(verbose=True, tol=1e-8)\n", "print('S=\\n', rxn_mech.stoic_mtrx)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### User-Provided Partition Functions" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "
Overview
\n", "\n", "- The script assigns partition-function callables to entries in a reaction-mechanism data structure and conditionally invokes a Cortix AI method.\n", "\n", "- Imports\n", " - The first three names are imported from solvex.partition_func_local:\n", " - partition_h2o_tbp_org\n", " - partition_2h2o_2tbp_org\n", " - partition_6h2o_3tbp_org\n", " - The next three are imported from the solvex package root:\n", " - partition_h2o_vap\n", " - partition_o2_aqu\n", " - partition_n2_aqu\n", "\n", "- Assignments to rxn_mech.data\n", " - The code sets the 'tau-partition-function' key on six entries of rxn_mech.data by index:\n", " - Index 0: assigns partition_h2o_tbp_org — associated with H₂O·TBP complexation.\n", " - Index 1: assigns partition_2h2o_2tbp_org — associated with 2 H₂O·2 TBP complexation.\n", " - Index 2: assigns partition_6h2o_3tbp_org — associated with 6 H₂O·3 TBP complexation.\n", " - Index 3: assigns partition_h2o_vap — associated with H₂O vaporization.\n", " - Index 4: assigns partition_o2_aqu — associated with O₂ absorption into the aqueous phase.\n", " - Index 5: assigns partition_n2_aqu — associated with N₂ absorption into the aqueous phase.\n", "\n", "- Semantics of the assignments\n", " - Each assigned name is a Python callable (a function) that encapsulates the partition-function logic for the indicated physical process or complex.\n", " - Storing these callables under the 'tau-partition-function' key makes them available to other parts of the program that operate on rxn_mech.data entries and compute tau/partition-function-related quantities.\n", "\n", "- Conditional block\n", " - If the variable cortix_ai is truthy, the code calls cortix_ai.explain(...) with three keyword arguments (markdown_header_level set to '
', and markdown_display and save_supporting_info passed from local names markdown_display and db_save)." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 3744\n" ] } ], "source": [ "'''Partition functions in the reaction mechanism'''\n", "\n", "from solvex.partition_func_local import partition_h2o_tbp_org\n", "from solvex.partition_func_local import partition_2h2o_2tbp_org\n", "from solvex.partition_func_local import partition_6h2o_3tbp_org\n", "\n", "# Partition function for H2O*TBP complexation\n", "rxn_mech.data[0]['tau-partition-function'] = partition_h2o_tbp_org\n", "\n", "# Partition function for 2H2O*2TBP complexation\n", "rxn_mech.data[1]['tau-partition-function'] = partition_2h2o_2tbp_org\n", "\n", "# Partition function for 6H2O*3TBP complexation\n", "rxn_mech.data[2]['tau-partition-function'] = partition_6h2o_3tbp_org\n", "\n", "from solvex import partition_h2o_vap\n", "from solvex import partition_o2_aqu\n", "from solvex import partition_n2_aqu\n", "\n", "# Partition function for h2o vaporization\n", "rxn_mech.data[3]['tau-partition-function'] = partition_h2o_vap\n", " \n", "# Partition function for O2 absorption\n", "rxn_mech.data[4]['tau-partition-function'] = partition_o2_aqu\n", " \n", "# Partition function for N2 absorption\n", "rxn_mech.data[5]['tau-partition-function'] = partition_n2_aqu\n", "\n", "if cortix_ai:\n", " cortix_ai.explain(markdown_header_level='
', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Add Reaction Mechanism to Stage" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "stg.add_reaction_mechanism(rxn_mech)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Verify Species Groups" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "#'''Aqueous phase'''\n", "# Jupyter Book does not render LaTeX through IPython.display(Markdown)\n", "#str = stg.rxn_mech.md_print('(a)')" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "#'''Show aqueous phase'''\n", "# Jupyter Book does not render LaTeX through IPython.display(Markdown)\n", "#print(str)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\\begin{align*} \n", " &{\\mathrm{H}_{2}\\mathrm{O}}_\\mathrm{(a)}, \\ {\\mathrm{N}_{2}}_{\\mathrm{(a)}}, \\ {\\mathrm{O}_{2}}_{\\mathrm{(a)}}, \\ \\end{align*}" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "#'''Organic phase'''\n", "# Jupyter Book does not render LaTeX through IPython.display(Markdown)\n", "#str = stg.rxn_mech.md_print('(o)', n_species_line=5)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "#'''Show organic phase'''\n", "# Jupyter Book does not render LaTeX through IPython.display(Markdown)\n", "#print(str)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\\begin{align*} \n", " &{\\mathrm{H}_{2}\\mathrm{O}\\bullet[\\mathrm{C}_{4}\\mathrm{H}_{9}\\mathrm{O}]_{3}\\mathrm{P}\\mathrm{O}}_\\mathrm{(o)}, \\ {[\\mathrm{C}_{4}\\mathrm{H}_{9}\\mathrm{O}]_{3}\\mathrm{P}\\mathrm{O}}_\\mathrm{(o)}, \\ {[\\mathrm{H}_{2}\\mathrm{O}]_{2}\\bullet[[\\mathrm{C}_{4}\\mathrm{H}_{9}\\mathrm{O}]_{3}\\mathrm{P}\\mathrm{O}]_{2}}_{\\mathrm{(o)}}, \\ {[\\mathrm{H}_{2}\\mathrm{O}]_{6}\\bullet[[\\mathrm{C}_{4}\\mathrm{H}_{9}\\mathrm{O}]_{3}\\mathrm{P}\\mathrm{O}]_{3}}_{\\mathrm{(o)}}, \\ \\end{align*}" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "#'''Vapor phase'''\n", "# Jupyter Book does not render LaTeX through IPython.display(Markdown)\n", "#str = stg.rxn_mech.md_print('(v)')" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "#'''Show vapor phase'''\n", "# Jupyter Book does not render LaTeX through IPython.display(Markdown)\n", "#print(str)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\\begin{align*} \n", " &{\\mathrm{H}_{2}\\mathrm{O}}_\\mathrm{(v)}, \\ {\\mathrm{N}_{2}}_{\\mathrm{(v)}}, \\ {\\mathrm{O}_{2}}_{\\mathrm{(v)}}, \\ \\end{align*}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Mass Transfer Data" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "
Explanation
\n", "\n", "- The code sets relaxation-time values (the 'tau' key) for six entries in stg.rxn_mech.data by assigning each entry the product 1.0e-0 * stg.flow_residence_time_avg.\n", " \n", "- 1.0e-0 is a floating literal equal to 1.0, so each assignment effectively sets entry[i]['tau'] to the value of stg.flow_residence_time_avg for i = 0,1,2,3,4,5.\n", " \n", "- Those six lines mutate the dictionaries (or mapping objects) stored in stg.rxn_mech.data at indices 0..5; if a 'tau' key already exists it is overwritten, otherwise it is created. The resulting tau values are numeric (float) and inherit whatever units or meaning flow_residence_time_avg carries.\n", " \n", "- The indices are written in two groups (0–2 and 3–5) but the operation is identical for all six entries.\n", " \n", "- After the assignments, there is a conditional: if cortix_ai evaluates as truthy, the code calls cortix_ai.explain(...) with keyword arguments markdown_header_level='
', markdown_display=markdown_display, and save_supporting_info=db_save." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 3365\n" ] } ], "source": [ "'''Adjust relaxation times for mass transfer'''\n", "stg.rxn_mech.data[0]['tau'] = 1.0e-0 * stg.flow_residence_time_avg\n", "stg.rxn_mech.data[1]['tau'] = 1.0e-0 * stg.flow_residence_time_avg\n", "stg.rxn_mech.data[2]['tau'] = 1.0e-0 * stg.flow_residence_time_avg\n", "\n", "stg.rxn_mech.data[3]['tau'] = 1.0e-0 * stg.flow_residence_time_avg\n", "stg.rxn_mech.data[4]['tau'] = 1.0e-0 * stg.flow_residence_time_avg\n", "stg.rxn_mech.data[5]['tau'] = 1.0e-0 * stg.flow_residence_time_avg\n", "\n", "if cortix_ai:\n", " cortix_ai.explain(markdown_header_level='
', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Meta Data" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "'''Names and info of interest for species'''\n", " \n", "tbp_org_name = '[C4H9O]3PO(o)'\n", "tbp_org = stg.organic_phase.get_species(tbp_org_name)\n", "tbp_org.info = 'Free TBP'\n", "\n", "tbp_monomer_org_name = 'H2O*[C4H9O]3PO(o)'\n", "tbp_monomer_org = stg.organic_phase.get_species(tbp_monomer_org_name)\n", "tbp_monomer_org.info = 'TBP Monomer Hydrate'\n", "\n", "tbp_dimer_org_name = '[H2O]2*[[C4H9O]3PO]2(o)'\n", "tbp_dimer_org = stg.organic_phase.get_species(tbp_dimer_org_name)\n", "tbp_dimer_org.info = 'TBP Dimer Hydrate'\n", "\n", "tbp_trimer_hexahydrate_org_name = '[H2O]6*[[C4H9O]3PO]3(o)'\n", "tbp_trimer_hexahydrate_org = stg.organic_phase.get_species(tbp_trimer_hexahydrate_org_name)\n", "tbp_trimer_hexahydrate_org.info = 'TBP Trimer Hexahydrate'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Initial Conditions of Mixer" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Organic Phase" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "mass_cc_tbp_org [g/L] = 291.75\n", "molar_cc_tbp_org [M] = 1.09551e+00\n" ] } ], "source": [ "'''Organic phase in the mixer (diluent is inert)'''\n", "\n", "vol_frac_tbp_org = 30/100 # free tbp\n", "\n", "#TODO: look this up at 40 C # W: TODO: look this up at 40 C\n", "rho_tbp = 972.5 * unit.gram/unit.L # pure liquid TBP\n", "stg.rxn_mech.args_dict['rho-tbp'] = rho_tbp\n", "tbp_mass_cc_org = rho_tbp * vol_frac_tbp_org # per volume of organic phase in the mixture\n", "stg.organic_phase.set_value(tbp_org_name, tbp_mass_cc_org)\n", "print('mass_cc_tbp_org [g/L] =', tbp_mass_cc_org)\n", "print('molar_cc_tbp_org [M] = %1.5e'%(tbp_mass_cc_org/tbp_org.molar_mass/unit.molar))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Aqueous Phase" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "'''Aqueous phase in the mixer'''\n", " \n", "h2o_aqu = stg.aqueous_phase.get_species('H2O(a)')\n", "h2o_aqu.info = 'Water'\n", "#TODO look this up at 40 C # W: TODO look this up at 40 C\n", "rho_h2o_aqu = 992 * unit.gram/unit.L # per volume of aqueous phase in the mixture\n", "stg.aqueous_phase.set_value(h2o_aqu.name, rho_h2o_aqu)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Vapor Phase" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Summary

\n", "\n", "- The snippet prepares and assigns vapor-phase composition values for a mixer stream object named `stg` by computing air components based on pressure, temperature, and relative humidity.\n", "\n", "

Context & imports

\n", "\n", "- The module-level string '''Vapor phase in the mixer''' is a short description.\n", "- The function `air_vapor_content` is imported from the `solvex` package and is used to compute mass concentrations of air components in the vapor phase.\n", "\n", "

Key variables

\n", "\n", "- `stg_pressure` \n", " - Set to `1.0 * unit.bar`. This creates a pressure quantity using a units object named `unit` (assumed defined elsewhere) representing 1 bar.\n", "- `stg_relative_humidity` \n", " - Set to the numeric value 35.0, representing relative humidity in percent.\n", "- `stg_temperature` \n", " - Referenced in the call to `air_vapor_content` but not defined in the snippet; it must be provided elsewhere in the surrounding code.\n", "\n", "

Function call and returned values

\n", "\n", "- `(n2_mass_cc_vap, o2_mass_cc_vap, h2o_mass_cc_vap) = air_vapor_content(stg_pressure, stg_temperature, stg_relative_humidity)` \n", " - `air_vapor_content` is invoked with pressure, temperature, and relative humidity.\n", " - It returns a tuple of three numeric values (named here for clarity):\n", " - `n2_mass_cc_vap`: mass concentration of N₂ in the vapor phase (mass per unit vapor volume).\n", " - `o2_mass_cc_vap`: mass concentration of O₂ in the vapor phase.\n", " - `h2o_mass_cc_vap`: mass concentration of H₂O (vapor) in the vapor phase.\n", " - The exact units for these concentrations depend on the `air_vapor_content` implementation and the units framework in use (the variable names imply mass per unit volume of vapor).\n", "\n", "

Assigning values to the stream vapor phase

\n", "\n", "- `stg.vapor_phase.set_value('H2O(v)', h2o_mass_cc_vap)` \n", " - Stores the computed H₂O vapor mass concentration into the `stg` stream vapor-phase composition using the species identifier `'H2O(v)'`.\n", "- `stg.vapor_phase.set_value('N2(v)', n2_mass_cc_vap)` \n", " - Stores the computed N₂ vapor mass concentration under `'N2(v)'`.\n", "- `stg.vapor_phase.set_value('O2(v)', o2_mass_cc_vap)` \n", " - Stores the computed O₂ vapor mass concentration under `'O2(v)'`.\n", "- The comment \"per volume of the vapor phase in the mixture\" indicates these values represent mass per vapor-phase volume (i.e., concentrations), not mole fractions or total masses of the entire stream.\n", "\n", "

Conditional assistant call

\n", "\n", "- `if cortix_ai:` checks whether the name `cortix_ai` is truthy (e.g., an object or non-None value) in the current scope.\n", "- Inside the conditional, the code invokes `cortix_ai.explain(markdown_header_level='

', markdown_display=markdown_display, save_supporting_info=db_save)`. \n", " - This passes three keyword arguments: `markdown_header_level` set to the string `'

'`, and two other variables `markdown_display` and `db_save` (presumed defined elsewhere). \n", " - No further explanation of the called method's behavior is provided here.\n", "\n", "

Overall behavior

\n", "\n", "- The snippet computes vapor-phase mass concentrations of N₂, O₂, and H₂O for given pressure, temperature, and relative humidity, and then stores those concentration values into the vapor-phase composition of the `stg` stream object. The final conditional triggers an auxiliary call to `cortix_ai` if that object is available." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 3738\n" ] } ], "source": [ "'''Vapor phase in the mixer'''\n", "from solvex import air_vapor_content\n", "\n", "stg_pressure = 1.0 * unit.bar\n", "stg_relative_humidity = 35.0 # percent\n", " \n", "(n2_mass_cc_vap, o2_mass_cc_vap, h2o_mass_cc_vap) = air_vapor_content(stg_pressure, stg_temperature,\n", " stg_relative_humidity)\n", " \n", "stg.vapor_phase.set_value('H2O(v)', h2o_mass_cc_vap) # per volume of the vapor phase in the mixture\n", "stg.vapor_phase.set_value('N2(v)', n2_mass_cc_vap) # per volume of the vapor phase in the mixture\n", "stg.vapor_phase.set_value('O2(v)', o2_mass_cc_vap) # per volume of the vapor phase in the mixture\n", "\n", "if cortix_ai:\n", " cortix_ai.explain(markdown_header_level='

', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Wrap-up" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Overview

\n", "\n", "- The snippet returns oxygen and nitrogen from a vapor-related quantity into an aqueous-phase representation in a stage object (stg), computing molar and mass amounts and storing them in the aqueous phase for O₂(a) and N₂(a).\n", "\n", "

Step-by-step explanation

\n", "\n", "- Fetch O₂ molar mass from the aqueous-phase species object:\n", " - o2_molar_mass = stg.aqueous_phase.get_species('O2(a)').molar_mass\n", "- Convert a previously available O₂ mass quantity in the vapor representation (o2_mass_cc_vap) into moles (molar concentration/amount) by dividing by the molar mass:\n", " - o2_molar_cc_vap = o2_mass_cc_vap / o2_molar_mass\n", "- Set an equilibrium fraction (constant 0.5) used to scale final aqueous mass:\n", " - equilibrium_fraction = 0.5\n", "- Obtain a partition coefficient for O₂ between vapor and aqueous phases by calling partition_o2_aqu with reaction mechanism, temperature, and None:\n", " - partition_coeff = partition_o2_aqu(rxn_mech, stg_temperature, None)\n", "- Compute the aqueous-phase molar amount/concentration for O₂ by applying the partition coefficient to the vapor molar amount:\n", " - o2_molar_cc_aqu = partition_coeff * o2_molar_cc_vap\n", "- Convert that aqueous molar amount back to mass and apply the equilibrium fraction:\n", " - o2_mass_cc_aqu = equilibrium_fraction * o2_molar_cc_aqu * o2_molar_mass\n", "- Store the computed aqueous mass for O₂ into the stage aqueous phase:\n", " - stg.aqueous_phase.set_value('O2(a)', o2_mass_cc_aqu)\n", "- Repeat the analogous sequence for N₂:\n", " - Read N₂ molar mass: n2_molar_mass = stg.aqueous_phase.get_species('N2(a)').molar_mass\n", " - Convert vapor mass to moles: n2_molar_cc_vap = n2_mass_cc_vap / n2_molar_mass\n", " - Reuse equilibrium_fraction = 0.5\n", " - Get partition coefficient: partition_coeff = partition_n2_aqu(rxn_mech, stg_temperature, None)\n", " - Compute aqueous moles: n2_molar_cc_aqu = partition_coeff * n2_molar_cc_vap\n", " - Compute aqueous mass and apply equilibrium fraction: n2_mass_cc_aqu = equilibrium_fraction * n2_molar_cc_aqu * n2_molar_mass\n", " - Store into aqueous phase: stg.aqueous_phase.set_value('N2(a)', n2_mass_cc_aqu)\n", "\n", "

Variable relationships and algebra

\n", "\n", "- molar_mass properties: species.molar_mass\n", "- molar quantity from mass: molar_cc_vap = mass_cc_vap / molar_mass\n", "- partition to aqueous molar: molar_cc_aqu = partition_coeff * molar_cc_vap\n", "- final aqueous mass after equilibrium scaling: mass_cc_aqu = equilibrium_fraction * molar_cc_aqu * molar_mass\n", "\n", "

Side effects and state changes

\n", "\n", "- The code overwrites values in stg.aqueous_phase for species O₂(a) and N₂(a) via set_value.\n", "- The equilibrium_fraction constant of 0.5 halves the computed aqueous mass before storing.\n", "- Partition coefficients are obtained from external functions; their numeric effect directly scales aqueous molar amounts.\n", "\n", "

Dependencies and required preconditions

\n", "\n", "- Variables/functions that must exist and be defined earlier: o2_mass_cc_vap, n2_mass_cc_vap, rxn_mech, stg_temperature, partition_o2_aqu, partition_n2_aqu, and stg (with aqueous_phase and species objects exposing the used attributes/methods).\n", "- The code expects species keys exactly 'O2(a)' and 'N2(a)' to be present in stg.aqueous_phase.get_species(...).\n", "\n", "

Conditional call

\n", "\n", "- If cortix_ai evaluates truthy, the code calls cortix_ai.explain with three named arguments (markdown_header_level, markdown_display, save_supporting_info)." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 4413\n" ] } ], "source": [ "'''Returning to the aqueous phase to populate O2 and N2'''\n", "\n", "o2_molar_mass = stg.aqueous_phase.get_species('O2(a)').molar_mass\n", "\n", "o2_molar_cc_vap = o2_mass_cc_vap / o2_molar_mass\n", " \n", "equilibrium_fraction = 0.5\n", " \n", "partition_coeff = partition_o2_aqu(rxn_mech, stg_temperature, None)\n", "o2_molar_cc_aqu = partition_coeff * o2_molar_cc_vap\n", "o2_mass_cc_aqu = equilibrium_fraction * o2_molar_cc_aqu * o2_molar_mass\n", "stg.aqueous_phase.set_value('O2(a)', o2_mass_cc_aqu)\n", " \n", "n2_molar_mass = stg.aqueous_phase.get_species('N2(a)').molar_mass\n", "n2_molar_cc_vap = n2_mass_cc_vap / n2_molar_mass\n", " \n", "equilibrium_fraction = 0.5\n", "\n", "partition_coeff = partition_n2_aqu(rxn_mech, stg_temperature, None)\n", "n2_molar_cc_aqu = partition_coeff * n2_molar_cc_vap\n", "n2_mass_cc_aqu = equilibrium_fraction * n2_molar_cc_aqu * n2_molar_mass\n", "stg.aqueous_phase.set_value('N2(a)', n2_mass_cc_aqu)\n", "\n", "if cortix_ai:\n", " cortix_ai.explain(markdown_header_level='

', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Inflow Condition" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Aqueous Phase" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "'''Aqueous phase in the inflow'''\n", "#TODO here the concentration must be larger than in the initial condition in the mixer for lower temp\n", "# look this up later, 1.01 factor may be incorrect\n", "stg.inflow_aqueous_phase.set_value('H2O(a)', 1.0 * rho_h2o_aqu)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Organic Phase" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [], "source": [ "'''Organic phase in the inflow'''\n", "stg.inflow_organic_phase.set_value(tbp_org_name, tbp_mass_cc_org)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Vapor Phase" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Overview

\n", "\n", "This snippet prepares vapor-phase inflow properties (temperature, pressure, relative humidity), computes per-species vapor content, and writes those vapor mass values into both the aqueous and organic inflow-phase state containers. At the end it conditionally invokes a method on a cortix_ai object (the call is present but no details about that method are given here).\n", "\n", "

Inputs and unit handling

\n", "\n", "- inflow_temperature is produced by converting 20 °C to Kelvin via unit.convert_temperature(20, 'C', 'K'), so the variable holds the temperature in K.\n", "- inflow_pressure is set to 1.1 * unit.bar, i.e., a pressure quantity equal to 1.1 bar using the codebase's unit system.\n", "- inflow_relative_humidity is the scalar 25.0, representing 25% relative humidity.\n", "\n", "

Vapor content computation

\n", "\n", "- The call air_vapor_content(inflow_pressure, inflow_temperature, inflow_relative_humidity) returns a tuple of three values assigned to (n2_mass_cc_vap, o2_mass_cc_vap, h2o_mass_cc_vap).\n", "- By the variable names, these returned values represent mass-based vapor concentrations for N₂, O₂, and H₂O respectively; the suffix _mass_cc_vap suggests mass per cubic centimeter (mass / cc) for the vapor phase, although the exact units depend on the implementation of air_vapor_content.\n", "\n", "

Writing values into inflow phase state

\n", "\n", "- For each species (N2(v), O2(v), H2O(v)) the code calls set_value on two targets:\n", " - stg.inflow_vapor_aqueous_phase.set_value('', )\n", " - stg.inflow_vapor_organic_phase.set_value('', )\n", "- This means the same vapor mass concentration value is assigned to both the aqueous-phase inflow and the organic-phase inflow for each specified vapor species.\n", "- The species strings include a “(v)” suffix (e.g., 'H2O(v)') to indicate the vapor form of the species.\n", "\n", "

Conditional final call

\n", "\n", "- The final if-block tests the truthiness of cortix_ai; if truthy, it calls cortix_ai.explain(...) with three keyword arguments: markdown_header_level set to '

', markdown_display set to markdown_display, and save_supporting_info set to db_save.\n", "- No further description of what that method does is provided here.\n", "\n", "- Summary of actions\n", "\n", " - Convert 20 °C to Kelvin and set pressure to 1.1 bar; set relative humidity = 25.0.\n", " - Compute N₂, O₂, H₂O vapor mass concentrations from pressure, temperature, and RH.\n", " - Store each vapor mass concentration into both the inflow aqueous and inflow organic phase state entries.\n", " - Conditionally invoke cortix_ai.explain with specific keyword arguments." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 3973\n" ] } ], "source": [ "'''Vapor phase in the inflow'''\n", "inflow_temperature = unit.convert_temperature(20, 'C', 'K')\n", "inflow_pressure = 1.1*unit.bar\n", " \n", "inflow_relative_humidity = 25.0\n", " \n", "(n2_mass_cc_vap, o2_mass_cc_vap, h2o_mass_cc_vap) = air_vapor_content(inflow_pressure, inflow_temperature,\n", " inflow_relative_humidity)\n", " \n", "stg.inflow_vapor_aqueous_phase.set_value('N2(v)', n2_mass_cc_vap)\n", "stg.inflow_vapor_organic_phase.set_value('N2(v)', n2_mass_cc_vap)\n", " \n", "stg.inflow_vapor_aqueous_phase.set_value('O2(v)', o2_mass_cc_vap)\n", "stg.inflow_vapor_organic_phase.set_value('O2(v)', o2_mass_cc_vap)\n", " \n", "stg.inflow_vapor_aqueous_phase.set_value('H2O(v)', h2o_mass_cc_vap)\n", "stg.inflow_vapor_organic_phase.set_value('H2O(v)', h2o_mass_cc_vap)\n", "\n", "if cortix_ai:\n", " cortix_ai.explain(markdown_header_level='

', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "#'''Returning to aqueous phase in the inflow'''\n", "# Leave aqueous phase as is; no dissolved gas" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "#'''Returning to organic phase in the inflow'''\n", "# Leave organic phase as is" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Start-up Simulation\n", "\n", "Define the start-up simulation period as one flow residence time." ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "scrolled": true }, "outputs": [], "source": [ "'''Getting ready to run'''\n", "\n", "end_time = 1 * stg.flow_residence_time_avg\n", "\n", "import numpy as np\n", "ave_tau = np.mean([data['tau'] for data in stg.rxn_mech.data])\n", "time_step = ave_tau / 15\n", "show_time = (True, 10*time_step)\n", "\n", "stg.name = 'Stg-1'\n", "stg.save = True\n", "stg.verbose = True\n", "\n", "stg.perturb_flowrates = False\n", "\n", "stg.time_step = time_step\n", "stg.end_time = end_time\n", "stg.show_time = show_time" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "tags": [ "scroll-output" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[31384] 2025-12-02 15:45:01,888 - cortix - INFO - Launching Module \n", "[32152] 2025-12-02 15:45:03,064 - cortix - INFO - Stg-1::run():time[m]=0.0\n", "[32152] 2025-12-02 15:45:03,371 - cortix - INFO - Stg-1::run():time[m]=0.6\n", "Total mass rate density (mixture volume) residual [g/L-s]= -1.49037e-16\n", "total mass inflow rate [g/min] = 6.711e+02\n", "total mass outflow rate [g/min] = 6.711e+02\n", "\t net total mass flow rate [g/min] = -2.112e-03\n", "[32152] 2025-12-02 15:45:03,493 - cortix - INFO - Stg-1::run():time[m]=0.9 (et[s]=0.4)\n", "[31384] 2025-12-02 15:45:03,688 - cortix - INFO - run()::Elapsed wall clock time [s]: 291.35\n", "[31384] 2025-12-02 15:45:03,689 - cortix - INFO - Closed Cortix object.\n", "_____________________________________________________________________________\n", " T E R M I N A T I N G \n", "_____________________________________________________________________________\n", " ... s . (TAAG Fraktur)\n", " xH88\"`~ .x8X :8 @88>\n", " :8888 .f\"8888Hf u. .u . .88 %8P uL ..\n", ":8888> X8L ^\"\"` ...ue888b .d88B :@8c :888ooo . .@88b @88R\n", "X8888 X888h 888R Y888r =\"8888f8888r -*8888888 .@88u \"\"Y888k/\"*P\n", "88888 !88888. 888R I888> 4888>\"88\" 8888 888E` Y888L\n", "88888 %88888 888R I888> 4888> \" 8888 888E 8888\n", "88888 `> `8888> 888R I888> 4888> 8888 888E `888N\n", "`8888L % ?888 ! u8888cJ888 .d888L .+ .8888Lu= 888E .u./\"888&\n", " `8888 `-*\"\" / \"*888*P\" ^\"8888*\" ^%888* 888& d888\" Y888*\"\n", " \"888. :\" \"Y\" \"Y\" \"Y\" R888\" ` \"Y Y\"\n", " `\"\"***~\"` \"\"\n", " https://cortix.org \n", "_____________________________________________________________________________\n", "[31384] 2025-12-02 15:45:03,690 - cortix - INFO - close()::Elapsed wall clock time [s]: 291.35\n" ] } ], "source": [ "'''Run system in parallel'''\n", "stg.monitor_mass_flowrates = False\n", "stg.monitor_mass_conservation_residual = False\n", "stg.mass_bal_rate_dens_res_tol = 1.e-8 * unit.micro*unit.gram/unit.L/unit.second\n", "\n", "system.run()\n", "system.close() # Shutdown Cortix" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Purpose summary

\n", "\n", "- This snippet identifies a specific \"stage\" object from a network module list, counts timestamps in its organic phase (assigned to n_startup), and conditionally invokes a method on a cortix_ai object if that object is present.\n", "\n", "

Line-by-line explanation

\n", "\n", "- The triple-quoted string '''Recover stage''' is a string literal used as an inline comment or documentation marker.\n", "- stg = system_net.modules[0] \n", " - Retrieves the first element (index 0) from system_net.modules and binds it to the name stg. The code expects modules to be an indexable sequence and that its first entry represents the target stage.\n", "- n_startup = len(stg.organic_phase.time_stamps) \n", " - Accesses stg.organic_phase.time_stamps and takes its length with len(...). The resulting integer is stored in n_startup; the name implies this counts startup timestamps in the organic phase.\n", "- if cortix_ai: \n", " - Tests the truthiness of the name cortix_ai (e.g., not None/False). If the condition is true, the indented call runs.\n", "- cortix_ai.explain(markdown_display=markdown_display, save_supporting_info=db_save) \n", " - Calls the explain method on the cortix_ai object, passing two keyword arguments: markdown_display (value from the variable markdown_display) and save_supporting_info (value from the variable db_save). The code assumes those variables are defined in the surrounding scope.\n", "\n", "

Notes and side effects

\n", "\n", "- The snippet performs no explicit error handling; attribute access and indexing may raise exceptions (e.g., IndexError, AttributeError) if expected objects or attributes are absent.\n", "- The only state changes visible here are assignment to stg and n_startup and the conditional method call on cortix_ai." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 3073\n" ] } ], "source": [ "'''Recover stage'''\n", "stg = system_net.modules[0]\n", "\n", "n_startup = len(stg.organic_phase.time_stamps)\n", "\n", "if cortix_ai:\n", " cortix_ai.explain(markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Organic Phase Results" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "image/png": 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cP39eNWvW1K1bt1SmTBlt2LBB6dKlMzoWAAAA4sDB6AAAAAAAAACAJFWpUkVVqlSRJEVERCggIECXL19WYGCgQkJCJEmurq7KlCmTcuXKpXz58snR0dHIyAAQYyaTSbNmzdLRo0d1+vRptW3bVps2bZK9vb3R0QAAAAAAAJCILl26pJo1a+ratWsqUaKENm/erAwZMhgdCwAAAHFEkQ4AAAAAAACSHAcHBxUsWFAFCxY0OgoAxDs3NzctX75cFSpU0NatWzV06FCNHDnS6FgAAAAAkGxcvXpVZ86c0T///KO7d+8qJCREFotFadKksS7wUrhwYeXMmdPoqADwXNeuXVPNmjV18eJFvfnmm/rtt9+UOXNmo2MBAAAgHhhSpPPHH38YMWycVK1a1egIAAAAAAAAAIAUolixYpo5c6batm2r7777Tu+++64aNWpkdCwAAAAASJJCQ0O1fPlyrV27Vn5+frp161a0+mXJkkU1atRQo0aN1KxZM7m6uiZwUgB4tVu3bqlWrVo6d+6c8ufPr61bt+r11183OhYAAADiiSFFOtWrV5fJZDJi6FgxmUyKiIgwOgYAAAAAAAAAIAVp06aN9uzZo8mTJ6tDhw46cOCA3njjDaNjAQAAAECScefOHY0ePVozZ87U/fv3JUkWiyXa/W/duiUfHx/5+PioT58+6tq1qz7//HN2qwBgmLt376pOnTo6efKkcubMqa1btypXrlxGxwIAAEA8sjNycIvFkmxeAAAAAAAASDihoaG6fv26QkNDjY4CAIlq3Lhxevfdd3Xv3j01b95cISEhRkcCAAAAgCThl19+UYECBfTjjz8qKCjIOofHZDLF6BXVLygoSOPHj1eBAgU0Y8YMo28PQCp0//591atXT4cPH1a2bNn0+++/K3/+/EbHAgAAQDwztEgnpr80G/ECAAAAAABA/Lty5Yq+//57VatWTW5ubkqbNq1y5syptGnTys3NTVWrVtV3332nS5cuGR0VABKUk5OTfHx8lCVLFh06dEh9+vQxOhIAAAAAGOrRo0f68MMP1atXL92/f/+ZwpznedkivE8X7Ny/f189e/ZU06ZN9ejRo4S8FQCwCg4OVqNGjbRv3z5lzpxZW7Zs0Ztvvml0LAAAACQAdtJh9xwASLG8vLyMjgAAAADgKZGRkfryyy/15ptv6ptvvtHOnTv16NEjm2cyjx490q5duzRkyBAVKVJEgwcPVkREhNHRASDB5MqVS4sXL5adnZ1mz56tOXPmGB0JAAAAAAwRFBSkGjVqaPXq1TbFOVGefIbk4OCgbNmy6c0339Q777yjd999V4ULF1a2bNnk4ODw3DlATxbrrFq1Su+//77u379vxK0CSEVCQ0PVpEkT7dixQxkyZNDmzZtVokQJo2MBAAAggTgYHaBgwYKaOXOm0TGe0bVrV124cMHoGACAWJoxY4Y+++wzo2MAAAAAeEJwcLCaN2+uTZs2PTM54mlR3w8NDdW4ceN0+PBhrVy5UmnSpEm0vACQmGrWrKkRI0boq6++Uu/evVW6dGkVKFDA6FgAAAAAkGjCw8PVoEED7d+/X5KeKc6xt7dXgwYNVK9ePZUrV06lSpWSk5PTC6919OhR+fv7a9OmTVq3bp0iIiKs14wq1Nm/f78aNmyo33//XY6Ojgl/kwBSncePH6tFixb67bfflDZtWm3YsEFlypQxOhYAAAASkOFFOunSpVO1atWMjvGMdOnSGR0BABBLM2fO1McffyxJ+vjjj/Xtt9++cNvzp2XOnDkhowEAAACpWrdu3bRx40ZJzy/MedLTkzC2bNmiLl26yNvbO0EzAoCRPv/8c+3Zs0dr165V8+bN9fvvvxsdCQAAAAASTf/+/bVnz55nngulSZNGgwYNUrdu3ZQ9e/ZoXcvR0VFly5ZV2bJl1aNHD924cUMzZ87U6NGj9ejRI5sddXbv3q1PP/1UU6ZMSahbA5BKRUREqH379lq7dq1cXFy0du1avffee0bHAgAAQAKzMzoAAADxadasWerevbukfx/iTp8+Xe7u7sqaNWu0XnZ2/K8RAAAASAirV6+Wt7e3dQJEFIvF8sJXlKgJE0uXLtXq1auNiA8AicLOzk5eXl7Kly+fLly4oJ49e8psNhsdCwAAAAAS3M6dO/Xzzz8/89yodu3aOn78uIYMGRLtAp3nyZYtm77++msdP35cderUsT57inruNH36dO3cuTPO9wEAUcxmszp37iwfHx85OTnJ19dX1atXNzoWAAAAEgEzkQEAKcbs2bPVrVs3SVK/fv00fvz4aO+gAwAAACBh/fDDDzbtqEIcDw8PzZ8/X/7+/vrrr7/k7++vefPmycPD45lrWCyWZ64DAClNpkyZtHz5cjk7O2vDhg1asWKF0ZEAAAAAIMENHDjQWjgT9dyoU6dO2rhxo/Llyxdv4+TNm1cbNmxQ586dbRaJsVgsGjhwYLyNAyB1s1gs6tmzpxYsWCB7e3stXbpUdevWNToWAAAAEomDkYMzcRoAEF9mz56trl27Svq3QGfChAn8fwYAAABIIo4fP669e/da/41usViUJUsWLV++XFWqVHnm/LJly6pjx47auXOnmjdvrlu3bllXNd23b59OnDih4sWLJ/ZtAECiKVOmjCZPnqzu3btr4cKFypEjh4oXL67bt28rLCzshf0yZ87MLsEAAAAAkp0dO3ZYnx1ZLBaZTCa1bdtWc+bMSZDxTCaTZs2apcePH+vXX3+1ee60Y8eO5z6vAoDoslgs+vTTTzVjxgzZ2dlp4cKFaty4sdGxAAAAkIgM+2td1KoXSVVSzwcA+M+cOXOsO+j07duXAh0AAAAgidm8ebP1a4vFIicnJ61fv/6VEx4qV66stWvXytHR0eb4pk2bEiQnACQlTZo0kfTvz80xY8bI09NTBQoUkLu7+wtfd+7cMTY0AAAAAMTCr7/+atN+/fXXNW3atAQfd+rUqcqRI4fNsQULFiT4uABStq+//loTJ06U9O+Cs61atTI4EQAAABKbIUU6d+/etb7++OMPIyK80s6dO60ZAwMDjY4DAHiBuXPnqmvXrrJYLOrTp49++uknCnQAAACAJGb//v2SZF0JtUuXLipXrly0+pYrV876b/6of+sfOHAgwbICAAAAAAAgca1bt85mF50xY8bIzc0twcd1c3PT6NGjreNaLBatW7cuwccFkHJ99913+v777yVJ06ZNU6dOnYwNBAAAAEM4GDFohgwZjBg2RtKlS2d0BADAK8ydO1ddunSxFuhMnDiRAh0AAAAgCTp+/Lh1ooMkdenSJUb9u3TpYl091WKx6NixY/GeEQAAAAAAAIkvICBAV69etf6dN23atGrevHmijd+8eXP17NlTjx49kiRdv35dAQEBypcvX6JlAJB0mc1mBQUFWdu3b99WWFjYc8+dPn26hg4dKkn68ccf1bNnz0TJCAAAgKTHkCIdAADiat68edYCnU8++YQCHQAAACAJe3KX4jRp0qh06dIx6l+qVCmlTZtWwcHBz1wPAAAAAAAAydfp06etX5tMJtWvX1/Ozs6JNr6zs7Pq168vHx8f67FTp05RpANA0r/Poj09PWPU5/PPP9eAAQMSKBEAAACSA4p0AADJzvz589W5c2dZLBb17t1bkyZNokAHAAAASMKeXGkwW7ZsMf73u52dnbJly6a///77meulBBaLRQEBATp27JguX76se/fuydnZWZkyZVKhQoVUvnx5ubi4GB3T6syZMzpy5IguX76s4OBgubq6Klu2bHrzzTdVqlSpRJ1IAwAAAAAAkreLFy/atEuUKJHoGUqWLGlTpHPp0qVEzwAg5fj000+NjgAAAACDUaQDAEhW5s+fr48++kgWi0W9evXS5MmTKdABAAAAkrhHjx5Z/92ePn36WF3Dzc3N+nXUjjrJ2d27d+Xr66uNGzfq999/1+3bt194rqOjoxo2bKj+/furWrVqiZjyPw8ePNDkyZM1a9Ysa7HU8zg5OalChQpq3ry5+vXrl4gJAQAAAABAcnT//n1J/y5iYjKZlCNHjkTPkD179udmAoDYYA4LAAAAKNIBACQbXl5e1gKdnj17asqUKTzcAAAAAJDs9O7dW7NmzdLjx4+jdX54eLh8fX3l6+urjh07avLkybEudoqNtWvXqmvXrrpx48Yrz338+LF27typs2fPUqQDAAAAAABe6ennI4n5zOPpMaP+9hzdZzYAAAAAADwPRToAgGRhwYIF6tSpk7VAZ+rUqRToAAAAAEiW9u7d+9zJHvb29sqePbuyZcum8PBwXbx4UUFBQTbneHl56fTp09q6davSpUuX4FknTJig//3vf7JYLDbHXVxclCNHDmXJkkUhISG6du3aS3cDAgAAAAAAeJ40adLYtG/evJnoGaLGjNrNx9XVNdEzAAAAAABSjmRXpGM2m3Xx4kX9888/unv3rkJCQmSxWJQmTRplypRJuXLlUt68eWVvb290VABAPFmwYIE8PT1lsVjUo0cPdtABAAAAkGJkzJhRbdu2VcOGDVWlShW5ublZvxcZGakdO3ZoyJAh2rFjh/X4vn371KlTJy1btixBs82ePVsDBgywOVa/fn317dtXNWrUkLOzs833rl69qt9//12+vr7at29fgmYDAAAAAAApw2uvvSbpv11srl27lugZnh4zKhMAAAAAALGRLIp0du3apbVr18rPz0/Hjh1TaGjoS893dnZWyZIlVaNGDTVq1EiVK1dOpKQAgPj266+/Wgt0Pv74Y02dOlV2dnZGxwIAAACAOMmXL5++/vprtW3b9oWrs9rb26t69ery8/NTr169NGPGDOv3li9fLj8/P9WoUSNB8p07d06ffPKJte3o6Kj58+erTZs2L+yTI0cOtW/fXu3bt9fdu3cTJBcAAAAAAEhZ8ufPb9N+cqGSxLJz506b9tOZAAAAAACIiSQ7yzkiIkLTpk1TkSJFVLVqVY0ZM0b79u2z7pzzsldoaKj8/f01duxYVatWTYULF9bUqVMVHh5u9G0BAGJg4cKF1gKd7t27a9q0aRToAAAAAEj2hg8frjNnzqhLly4vLNB5kr29vaZNm6Zy5crZHJ81a1ZCRVT37t1tFspZuHDhSwt0npYpU6aEiAXgFSIiIoyOAAAAAAAxUrJkSesuOhaLRbt379aNGzcSbfybN29q586d1gwmk0lvvfVWoo0PAAAAAEh5kuROOps2bVLPnj118eJFWSwWm+9F/VL8KlEFO5J09uxZ9e3bVz/++KOmT5+uunXrxntmAED8WrRokTp27Ciz2azu3btr+vTpFOgAAAAAKcD169f17bffxqrfk2JzjShDhgyJdd/40LBhwxj3sbe316BBg9SyZUvrsU2bNsVnLKtVq1bJz8/P2m7RooVatGiRIGMBiF/9+vXT4sWLeYYCAAAAINnIlCmTihcvrhMnTkiSzGazpk6dGqdnPzExZcoUmc1m63ykokWLsvgIAAAAACBOklSRjtls1oABAzR58mRrgU10i3Ke9nQ/i8WigIAANWjQwFqwwx8qASBpWrRokTp06CCz2axu3bpRoAMAAACkIDdu3NDw4cNj1TfqeZHFYon1NSTji3Riq0qVKjbtO3fuKDg4WGnSpInXcWbMmGHTHjp0aLxeH0D0ZM6cWefPn9fOnTutxypXriw3N7dnzt2wYYM++ugj+fj4KFOmTPr5559j/WwdAAAAABJbkyZNdPz4cZlMJlksFo0dO1bt27fXm2++maDj/vXXXxozZox1XJPJpA8//DBBxwQAAAAApHxJZsbz48eP1bhxY2uBjslksvkjYtTOOE++nJyc5O7urmzZssnZ2fm550SJup7FYtGkSZPUpEkThYeHG3GrAICXeLJAp2vXrvr5558p0AEAAABSkOc9v4nuKz6uk5w9bxXXoKCgeB3jypUrNjv0vP322ypevHi8jgEgeuzs7JQlSxZlyJDB+sqSJYuyZs36zKtjx45atGiR7OzsNGPGDPXv3z/Z/8wDAAAAkHp4enra/E04LCxMrVq1UmBgYIKNeffuXbVq1UqPHz+2HrOzs5Onp2eCjQkAAAAASB2SzKzn1q1ba926ddYCnShREyhKliypgQMHasmSJTp//rxCQ0MVEhKia9eu6erVqwoODlZoaKj+/vtv+fj4aNCgQSpVqtRzi3UsFovWrVun1q1bG3GrAIAX8Pb2tinQ+eWXXyjQAQAAAFKQqEVUjHold1euXHnmWObMmeN1jI0bNyoyMtLarlGjRrxeH0DCadWqlebMmSNJmjRpkr788ksKdQAAAAAkCwUKFFCLFi1sFvU9cuSIatWqpTt37sT7eIGBgapVq5aOHDlis4tOs2bNVKBAgXgfD0DyFRwcbHQEAAAAJEMORgeQpBEjRsjX1/eZ4pyoFSp69uyp8uXLv/I6Tk5Oyps3r/LmzatmzZpp1KhROnDggKZPn6558+ZZ/yAZ9Qu2r6+vRo4cqa+//jrB7g0AED2LFy9W+/btZTab1aVLFwp0AAAAgBSGieJxt2PHDpt23rx55eTkFK9j+Pv727RLlSpl/frQoUOaO3eutm/frkuXLiksLEzu7u4qVKiQ6tatqzZt2ihnzpzxmgdAzHh6eiokJEQ9e/bUqFGjlCZNGn3zzTdGxwIAAACAVxozZozWrl1rMyH+8OHDKl68uCZNmqSWLVvGyzjLli1T3759dePGDZt5Sq6urhozZky8jJFQLBaLAgICdOzYMV2+fFn37t2Ts7OzMmXKpEKFCql8+fJycXExOiaQYlgsFn3//feSJDc3N40YMUIffPCB3NzcXtovvhdWAgAAQPJjeJHO8ePHNWLEiGcKdIoXL66ZM2fq3XffjdP1y5Ytq1mzZql79+7q2rWrjh8/bl11w2KxaMSIEWrSpIlKlCgR11sBAMTSkiVL1K5dO5nNZnXu3FkzZsygQAcAAABIQebOnWt0hBQhaoeMKA0aNIj3MZ4u0nnjjTf08OFD9evX75nxJenixYu6ePGitmzZoiFDhqh///4aPny4HB0d4y3TzZs3devWrRj1OXfunE374cOHun//frxlio1Hjx69tA08T2w+N23bttXdu3f15ZdfasiQITKZTOrbt29CRUQSw88axAafG8QGnxvERmr63Dx8+NDoCECykzt3bo0fP14ff/yxzbyemzdvqk2bNvr555/Vq1cvNWnSRA4OMZvuFBERoVWrVmn69Ony8/N7ZpFfk8mkH3/8UXny5EmIW4uTu3fvytfXVxs3btTvv/+u27dvv/BcR0dHNWzYUP3791e1atUSMSWQMs2aNUve3t6ys7PToEGDlC9fPmXJkkXp06c3OhoAAACSOMOLdAYOHKiIiAjrL76SVKdOHfn6+sbr6g4VKlSQv7+/PvzwQ23cuNFaFBQeHq6BAwdqw4YN8TZWQjh//rz27duny5cv6/Hjx8qUKZOKFCmiihUrpqpVMHgfgJTn6QKdmTNnUqADAAAApDCenp5GR0j21q9frz/++MPmWKdOneJ9nKeLW+zs7FS1alUdOnTolX1DQkL0ww8/yN/fXytWrHjlipLRNW3aNA0fPjxO19i3b5+uX78eL3niy759+4yOgGQoup+bYsWKqV27dlq4cKG++eYb/fPPPwlS2Iekj581iA0+N4gNPjeIjZT8ubl06ZLREYBkqVu3bjp8+LCmT59uLdSR/l3sd/v27dq+fbsyZ86s999/X+XLl1e5cuWUM2dOZciQQRkzZpQkBQUF6d69e7p69ar2798vf39/m+KWqKKcp8f9+OOPE/Veo6N3796aNWuWHj9+HK3zw8PD5evrK19fX3Xs2FGTJ0+mmACIpQMHDuiTTz6RJLVv314lS5Y0OBEAAACSE0OLdA4fPqxNmzbZrExRq1YtrVq1Ss7OzvE+nrOzs3x9feXh4aHNmzdbx928ebOOHDmiUqVKxfuYceXr66sRI0bo4MGDz/1+unTp1KlTJw0dOlRZsmRJ0CzDhg2L04QIT09PzZs3L1Z9k9L7ACD+LF26VO3atVNkZKQ++ugjCnQAAAAA4DkCAwOfmSjSpEkTVahQIV7HMZvNevDggc2xvn37Wgt0TCaTGjVqpAYNGihXrlx69OiRDh06pAULFujq1avWPlu2bFGnTp20fPnyeM0HIGZatGihx48fy8fHRzNmzJCTk5Nq1apldCwAAAAAeKmpU6cqPDxcs2bNshbTPLnw7+3bt+Xj4yMfH59oXzOqb9S1njzeuXNn/fzzz/GUPn7t3bv3uQU69vb2yp49u7Jly6bw8HBdvHhRQUFBNud4eXnp9OnT2rp1q9KlS5dYkYEUITAwUM2bN9fjx4/VsGFDffjhh0ZHAgAAQDJj6ExoLy8vm3b69Onl5eWVIAU6UZycnOTl5WVdQSPK/PnzE2zM2AgLC1P79u314YcfvrAwRfp3m+wpU6aoWLFiz6ymmhLwPgApl4+Pj9q2bavIyEh16tRJs2bNokAHAAAAAJ5iNpvVvn17Xb582XosQ4YMmjRpUryPFRQUZDNpRZL1eUzmzJm1fft2rV69Wj169FCjRo3UqlUrjRo1SmfOnFHbtm1t+q1YseKZZ38AEl/btm3l4eEh6d+Jbjw7BQAAAJAczJgxQ2PHjpWDw39rD0ftrBNVsBOT15N9pX+Lc+zt7TVq1CjNmjXLqNuMkYwZM6pXr15at26d7t69q3/++Uf79+/XkSNHdOfOHfn5+alKlSo2ffbt25cgOzEDKZnZbFaHDh0UEBCgAgUKaNq0ac/svgUAAAC8iqE76axevdpmF50RI0YoW7ZsCT6uu7u7vv32W/Xt29c6vq+vr8aPH5/gY0eH2WxWq1attGrVKpvj9vb2ypMnjzJkyKC///7bZhWMW7duqX79+tqyZYvee++9xI6cIHgfgJTLx8dHbdq0UWRkpDw9PSnQAQAAAIAXGDhwoDZs2GBz7JdfflHu3LnjfayHDx8+97i9vb3WrVund95557nfT5cunRYsWKDbt29r8+bN1uPff/+9OnToEOc/Yvfq1UstWrSIUZ9z586pSZMm1naFChVUtGjROOWIq0ePHmnfvn3WdoUKFZQ2bVoDEyE5iI/PTY0aNTRgwADNmTNHEydOVJkyZfTBBx/Ed1QkEfysQWzwuUFs8LlBbKSmz82pU6eMjgAke//73/9Uq1Ytffzxx9afHU/urBMbUYuTlC1bVr/88ovKlCkTP2ETUL58+fT111+rbdu2cnV1fe459vb2ql69uvz8/NSrVy/NmDHD+r3ly5fLz89PNWrUSKzIQLL2/fffa/369XJxcdGyZcueWQgcAAAAiA7DinSuXbumCxcuWH9xdnJykqenZ6KN7+npqYEDB1q3hb148aKuXbum7NmzJ1qGFxk7duwzhSk9evTQN998oxw5ckj6t4Bl1apV6t+/vy5duiRJCg4OVsuWLXX8+HFlyJAhwXOOGzdOpUqVivb5UdmjK7m8DwBiZtmyZTYFOrNnz5a9vb3RsQAAAAAgyZk0adIzi8oMGjRIrVq1SpDxXFxcnnu8a9euLyzQiWJnZ6fp06erUKFCMpvNkqQzZ85o+/btql69epxyubu7y93dPU7XSJcundKnTx+na8S3tGnTJrlMSPpi+7mZOXOmIiMjNX/+fH300Ufy9fVVgwYNEiAhkhp+1iA2+NwgNvjcIDZS8ucmXbp0RkcAUoRSpUrpzz//1OrVqzVx4kRt27bNWmgT3UKdJ3cNrlatmvr27asPP/wwQfLGt+HDh6t27dpycnKK1vn29vaaNm2aDh48qP3791uPz5o1iyIdIBp+++03DRkyRJI0ffp0vf3227p//77BqQAAAJAcGVakc+LECevXJpNJtWrVkpubW6KN7+bmptq1a2vt2rXWY8ePHze8SOfOnTv67rvvbI798MMP+vzzz22O2dnZ6cMPP1SFChVUuXJlBQQESJIuX76s8ePHa/jw4QmetWzZsnGeZPEiyel9ABB9y5cvV+vWrRUZGamOHTtSoAMAAAAAL7Bo0SL179/f5linTp00atSoBBvzRZPIunXrFq3+b7zxhmrVqmWzm058FOkAiDs7OzvNnj1boaGhWrJkiZo2bap169apZs2aRkcDAAAAgFfy8PCQh4eHLl26pLVr12rbtm06cOCAAgICbIpwnmQymZQ3b16VKVNG1atXV6NGjZQvX77EDR5HDRs2jHEfe3t7DRo0SC1btrQe27RpU3zGAlKkf/75R23btpXFYlHXrl3VqVMnoyMBAAAgGbMzauCoYoooZcuWTfQMT4958eLFRM/wtDFjxujBgwfWdtWqVTV48OAXnp8zZ07NmjXL5tiECRN0586dBMuYGHgfgJRn+fLlatWqlSIjI9WhQwfNmTOHAh0AAAAAeI61a9fK09PTZpJJ06ZNNWvWrGivEhsbrq6uz/ye5ubmptKlS0f7GtWqVbNpP7lqKwBj2dvba8GCBWrcuLHCwsLk4eGhXbt2GR0LAAAAAKItT5486tWrl5YuXarz588rNDRUFy5c0P79+7Vjxw7t2LFD+/fv1/nz5xUSEqILFy5o2bJl+uSTT5JdgU5cVKlSxaZ9584dBQcHG5QGSPoeP36sFi1a6Pbt2ypTpowmT55sdCQAAAAkc4YV6QQFBUn6b1tZI3aweXrMe/fuJXqGJ5nNZs2dO9fm2LBhw145+aJmzZo2v2A/ePBAS5cuTZCMiYH3AUh5VqxYYd1Bp0OHDpo7dy4FOgAAAADwHH5+fmrRooUiIiKsx2rXri1vb+9E+T3K3d3dpl2wYEHZ2UX/EWLhwoVt2jdv3oyXXADih6Ojo5YsWaK6desqODhY9evXl7+/v9GxAAAAACBWHB0dlS9fPpUpU0aVKlVSpUqVVKZMGeXPn19OTk5GxzNMpkyZnjkWNU8LwLM+++wz7d27VxkzZtSyZcvk4uJidCQAAAAkc4YV6YSEhNi0M2fOnOgZon4pjSr+CAsLS/QMT9q9e7du3bplbb/xxhuqXr16tPp26dLFpu3r6xuPyRIX7wOQsqxcuVKtWrVSRESE2rdvT4EOAAAAgHhhNpu1YcMGDR48WC1atFC9evXUvn17ffbZZ1q+fHmyXB1079698vDwUGhoqPVYxYoVtXLlykSbWFK0aFGbdvr06WPU/+nz7969G+dMAOKXs7OzVqxYoerVq+vBgweqW7eujhw5YnQsAAAAAEA8uXLlyjPHjJiXBSQH3t7e1p1zfv31V+XPn9/gRAAAAEgJHIwa2NXV1aZ9+/btRM9w584dSf/u5mMymQyvgl+3bp1Nu3bt2q/cPebJc5+0bds2PXr0SGnTpo23fImF9wFIOVauXKmWLVsqIiJC7dq107x58yjQAQAAACBJ2rFjh3x8fHTy5Eldu3ZNTk5OKlCggOrUqaMOHTo88+zoScuXL9fAgQN18eLF535/woQJcnZ2VpcuXfTdd9/FuNDECEePHlX9+vX18OFD67HSpUtr/fr1ifpco1ixYvr999+t7ZguavNkgZEkpUmTJl5yAYhfadKk0Zo1a1SnTh3t2bNHtWvX1vbt258p1AMAAAAAJD87duywaefNmzdV7ywEvMiJEyfUtWtXSdJXX32lhg0bGpwIAAAAKYVhO+lkzJhR0n+72Fy7di3RM1y/ft2mHZXJKIcPH7ZpV6xYMdp9c+TIoXz58lnbjx8/1smTJ+MpWeLifQBSBl9fX5sCnfnz51OgAwAAAEBnz55V1apVVb16dU2dOlV+fn46deqUjhw5opUrV6pnz57Knz+/1q5d+9z+n332mVq2bKmAgABZLJYXvkJDQzVt2jQVLVpU/v7+iXyXMXPmzBnVrl3bZteZokWLatOmTcqQIUOiZilTpoxN+8aNGzHqf/PmTZs2q7QCSVe6dOm0YcMGlS1bVrdu3VLNmjV17tw5o2MBAAAAAOJozpw5Nu0GDRoYlARIuh48eKBmzZopODhYNWvW1PDhw42OBAAAgBTEsJ10niykkKR9+/Yleoanx8ybN2+iZ3jSqVOnbNrFihWLUf9ixYopICDA5nrly5ePj2gvFBYWpgsXLujOnTtydHRU5syZlSNHjjitkpoc3wcAtnx9fdWiRQtFRESobdu2FOgAAAAAkCQdOHBAtWrV0v3792WxWJ75ftSxmzdvqkmTJpozZ446duxo/f7333+v8ePHS1K0dt21WCy6du2a6tatqy1btjxTgJIUXLx4UbVq1bIpbsmfP79+++03Zc2aNdHzNGzYUHZ2djKbzZKkv//+W4GBgXrttdei1f/AgQM27cKFC8d7RgDxJ0OGDNq0aZOqV6+u48ePq2bNmvrjjz8Mf1YOAAAAAIid9evX648//rA51qlTpzhf9+bNm7p161aM+jy9EMTDhw91//79OGeJrUePHr20jdTDYrHoo48+0pkzZ5QjRw7NmDHjhZ8HPjeIDT43iA0+N4gNPjeIqdT2mXn48KFhYxtWpFOiRAnr1xaLRX5+fgoKCkq01UGDgoK0detWmUwm6wSQkiVLJsrYzxMSEqJLly7ZHMudO3eMrvH0+WfOnIlzrpfp3bu3Lly4oNDQUJvjDg4OKlu2rOrXr69evXrFaEJJUnwfeNCA1Cq2n5t169apY8eOioiIUPPmzTV58mQ+c6kIP28QG3xuEBt8bhAbqelzY+SDBuBFrly5orp16yooKEjSq4tszGazPv74Y5UuXVolS5bU0aNHNWzYMJt+zyv0iWIymazn3rt3T02bNtXJkyfjtLBIfLt27Zpq1qypy5cvW4/lzJlTW7duVc6cOQ3J5O7urkqVKmnHjh3WYytWrFDXrl1f2TciIkIrV660OVa9evX4jgggnmXOnFlbtmxRtWrVdObMGWuhTo4cOYyOBgAAAADPdeXKFZ0/f143btzQ7du39ejRIz1+/Fgmk0kuLi7KmDGjsmfPrjfeeEOFChWK1mIvKUFgYKA+/vhjm2NNmjRRhQoV4nztadOmxXmnkX379un69etxzhJfjFhQGknDmjVrtHLlStnb26tv3746duxYtPvyuUFs8LlBbPC5QWzwuUFMpfTPzNM1CYnJsCKdbNmyqWDBgjp//rwkKTw8XHPnzlX//v0TZfy5c+cqPDzc+ot4/vz5lS1btkQZ+3lu375tM7HE0dFR7u7uMbrG05M3nlyBNSGcPHnyuccjIiK0d+9e7d27V6NHj9Znn32moUOHRmsXjaT4PvCgAfhXdD43+/bt05gxYxQREaEqVaqoTZs2NhO7kPrw8waxwecGscHnBrGRkj83Rj5oAF6kX79+CgwMjFaRTdQ5YWFh+t///qfNmzfru+++U0REhHXBFVdXV3Xo0EH169dXvnz55OLiops3b+rPP//U4sWLdejQIZux/vnnHw0ZMkTjxo1L2BuNpsDAQNWuXdv6bEySsmbNqt9++0358+c3MJn08ccf2/wuN3bsWHXo0EHOzs4v7Tdz5kyb5x/p06dX3bp1EywngPiTLVs2bd26VVWrVtX58+dVs2ZNbd++PcbPZgEAAAAgIezfv1/r1q3Ttm3bdOjQIT148CDafV1cXFShQgXVrFlTLVu21JtvvpmASY1jNpvVvn17m8VgMmTIoEmTJhmYCkh6Tp06pXnz5kmSPvroIxUpUsTYQAAAAEiR7Iwc3MPDQxaLxTq5YujQobp27VqCj3vt2jUNHTrUOq7JZFLjxo0TfNyXeXqV4zRp0sR4JY+0adO+9JpGCAkJ0YgRI1SrVq1o5Ump7wOQGjxdoNO/f/9oFecBAAAASPn8/f21YsUK6+/4FotFjo6OGjx4sI4dO6bg4GAFBgZq06ZNqlmzpvV5jSRt3bpVu3btsva3WCx65513dOrUKf38889q3LixSpUqpcKFC6tKlSoaOHCgDhw4oF9++UUODv+uTxPVb8qUKbp7965h70OUBw8eqF69ejpx4oT1WMaMGbV582YVLVo0XseK2n0o6hWdnW3atGljs+P0X3/9pY8//lhms/mFffbu3atBgwbZHOvVq1ei7ZoNIO6idvLKlSuXTp8+rdq1ayswMNDoWAAAAABSqbCwME2ePFlFixbVO++8o2+//VZ//PGH7t+/L4vFEu1XSEiI/vjjDw0dOlRFixZV1apVtXbtWqNvL94NHDhQGzZssDn2yy+/KHfu3AYlApKee/fuaezYsYqMjFSVKlXUsGFDoyMBAAAghTJsJx1J6tixo8aPH29tP3jwQB06dNC6deteuTJnbIWFhaljx4568OCBTfGHp6dngowXXU8Xkri4uMT4Gq6uri+9ZnwwmUx677331LBhQ1WoUEFFixbVa6+9Jjs7O925c0cHDx7U2rVrNX/+fIWGhlr7bdu2Ta1bt9aqVateOmk/ubwPQGpgNpujvQLRwYMHNWXKFOuDDAp0AAAAADxpzpw51q+jdsHZtGmTKleubD3u4uKi2rVrq3bt2urdu7emT59ufXbzySefKDIyUiaTSW+//ba2bt2qNGnSvHTMbt26KWPGjGrVqpX1OuHh4fL29lavXr0S4C6jz8PDQ/7+/jbHBgwYoNu3b2vLli0xulbZsmWVKVOm+IwnOzs7TZgwQbVr17budjR//nxduXJFo0aNUtmyZa3nBgUFafbs2Ro6dKjNM5g333xTX375ZbzmApDw8uXLp99//11Vq1bV0aNHVbduXW3ZsoWCOwAAAACJytfXV3379tWVK1ee2Yk5pgu9Sra7Oe/cuVO7du1StWrV9PPPP6eInXUmTZpkM/9KkgYNGqRWrVrF2xi9evVSixYtYtTn3LlzatKkibUdNc/IKI8ePdK+ffts8jy9EDBSroiICDVp0kSBgYEqXLiwFi9erHTp0r2yH58bxAafG8QGnxvEBp8bxFRq+8ycOnXKsLENLdJ56623VLduXW3atMm6oqmfn588PDy0atWqWBVovMzjx4/VpEkTbd261WYXndq1a+utt96K17Fi6smCFklycnKK8TWeLmwKCQmJU6an1alTR23btn3hA4ocOXIoR44catSokb7++mu1bt1au3btsn5/3bp1mjZtmvr06fPCMZLi+8CDBqRWly5dslk5OToaNmwoLy8v62rVSH34eYPY4HOD2OBzg9hITZ8bIx80AM+zfPlym2cxw4YNsynQedrEiRO1detWnT17VpJ09OhRSf9Owpg3b94rC3SitGjRQitXrtTixYutEzgWL15seJHOtm3bnjk2ZMiQWF3Lz88vWrvjxFTNmjX1ww8/6PPPP7ce27Jli8qVK6fXX39duXLl0qNHj3T+/Hk9fvzYpm/mzJm1bNkyubm5xXsuAAmvUKFC2rp1q6pVq6b9+/erYcOG2rhxY7QmrgAAAABAXPXr109TpkyxFtZEpyjn6UKeJ0XtLvzkuRaLRdu2bVOZMmU0ffp0dejQIe7BDbJo0SL179/f5linTp00atSoeB3H3d1d7u7ucbpGunTplD59+nhKFHdp06ZNUnmQsL788kvt2LFDadOm1cqVK5UjR45YXYfPDWKDzw1ig88NYoPPDWIqpX9mjPzbluGzqMeOHautW7daV0O1WCzasmWLypcvr1mzZumdd96Jl3H27dunrl276sSJEzbHHRwcNG7cuHgZIy6eLkh6enJDdISFhb30mnFVsWLFaJ+bK1cubdmyRe+//7727NljPT5y5Eh16dLlhZNpkuL7wIMGpFbRnfT2pJkzZ+q1115LgDRIrvh5g9jgc4PY4HOD2EjJnxsm0SIpuXTpkm7fvm2dDJEuXTr17dv3pX0cHBzUp08f9enTJ84LrXz11VdavHixpH8nYRw8eNB6Pbzc4MGDlSZNGv3vf/9TeHi49fj169d1/fr15/YpXLiw1qxZo0KFCiVWTAAJoFixYtq8ebPef/997dq1S40bN9batWuf2cUcAAAAAOLTRx99JC8vr2ee3USnCCeqT7Zs2fTee+/pwYMHCgoK0pkzZ3T//n2b86OuGRwcrE6dOunq1asaPHhwwt1YAlm7dq08PT1t3p+mTZtq1qxZPPsCnrBmzRr98MMPkqTZs2cbutAyAAAAUgc7owOUKFFC33zzjc0KGBaLRSdOnFClSpXUpUsX+fv7x/r6Bw4cUNeuXVWpUiWdOHHC+kt51H+//PJLlShRIr5uJ9aenkD19I4y0fH0jjFGT8pycXF5ZkeNmzdvavPmzS/skxLfByA1YQcdAAAAAE87fPiw9WuTyaS6des+swvu8zRq1OiZYzHd6VaSihcvbvPsJyQkhN2mYqBPnz46evSoWrVqJUdHxxeelz9/fk2cOFFHjx6lQAdIIUqXLq2NGzfKzc1Nv//+u5o1a/bMAkkAAAAAEF8mTJig+fPnS7ItpLG3t1fdunU1fPhwzZ07VytXrtTChQs1YcIEtWvXTlmzZrWZC3Tjxg0VKVJEmzdv1t69e3Xv3j1duHBBixYtUqNGjeTg4GA9P6rPl19+qVmzZhl5+zHm5+enFi1aKCIiwnqsdu3a8vb2lr29vYHJgKTlwoUL1t2y+vbtq1atWhmcCAAAAKlBkphN/c033+jgwYNatWqVzS/BZrNZ8+bN07x581SiRAnVr19f5cuXV7ly5ZQzZ85nJoNHRETo6tWr2r9/v/z9/bVx40YdPXpUkp67DW6jRo00dOjQxLvRl3i6kCQ4ODjGq7o+evTopdc0QsGCBeXh4aEVK1ZYj23evFlNmjR57vkp9X0AAAAAACC1unXrlk27dOnS0eqXN29eubm56eHDh9Zj5cuXj1WGd955R8ePH7e2T58+rWLFisXqWvHhZau/xrdhw4Zp2LBhcbpGkSJFtHjxYt2/f1+7d+/W2bNnFRQUpHTp0ilbtmwqU6aMChcuHD+BASQp77zzjtatW6e6detqw4YNatOmjZYsWfLSoj0AAAAAiKnLly/r66+/fmb3nB49euibb75R9uzZX9g3PDxcXl5eGjRokO7duyeLxaJRo0YpIiJCo0ePliTly5dP+fLlU+vWrXXt2jUNGDBAS5YssZmj1KdPH7377rtJYqHfV9m7d688PDxsFr6tWLGiVq5cKScnJwOTAUlLSEiImjVrpqCgIL333nsaO3as0ZEAAACQSiSJIh1JWrJkiZo0aaKNGzdafwmW/pu0cOzYMZvJFNK/O7VkzJhRkhQUFPTMDipPTnh4+hf5unXrysfHJyFuJVayZMli/cVf+vchws2bN5UtW7ZoX+PKlSs2bXd393jNGFs1a9a0KdI5c+bMC89Nye8DAAAAAACp0b179yTJughHzpw5o93X3d3dpkgnJn2f9PTkiqhMiJn06dOrXr16qlevntFRACSiKlWqaPXq1WrUqJFWrlwpT09PLViwgJWZAQAAAMSb8ePHKyQkxDpfxMHBQb/++qtatmz5yr6Ojo7q0qWL6tSpo2rVqunixYuyWCz68ccf1aBBA1WrVs3m/OzZs8vb21tNmzZVu3btFBkZKZPJpLCwMPXo0UM7d+5MqNuMF0ePHlX9+vVtnpmVLl1a69evV9q0aQ1MBiQ9ffr00eHDh5UlSxYtXbqUIjYAAAAkGjujA0RxcnLSmjVr1Lt372eKa54s2HnyFRISomvXrunatWvWHVeefL2of48ePbRmzZok9Q9vV1dX5cmTx+bYpUuXYnSNp88vUqRInHPFh9y5c9u0n15B90kp+X0AAAAAACA1enJFTylmO94+PbEgarGWmMqUKZNN+/79+7G6DgCkVrVq1dKyZcvk4OAgb29vdevWTWaz2ehYAAAAAFKIhQsXWgt0TCaTRo4cGa0CnSflzp1b69atk4ODg0wmk8xms3r27PnC81u0aKGFCxfazFHas2ePNm/eHOv7SGhnzpxR7dq1dffuXeuxokWLatOmTcqQIYOByYCkZ/bs2Zo9e7bs7Oy0ePFi5cqVy+hIAAAASEWSTJGOJNnb22vy5Mlas2aNcufO/dxinZi+olgsFuXMmVO+vr6aNm2aHBySzCZCVk8Xk5w8eTJG/U+dOvXS6xnF0dHRph0eHv7S81Pq+wAAAAAAQGrk6upq0378+HG0+z75bEeS7Oxi9ygrqjAo6nqPHj2K1XUAIDVr1KiRFi9eLDs7O82dO1d9+vSxeYYPAAAAALFx9OhRm8Vec+XKpQEDBsTqWkWLFlWXLl2sv6ucOXNG27Zte+H5LVq0UKtWrazFQZI0Y8aMWI2d0C5evKhatWrp5s2b1mP58+fXb7/9pqxZsxqYDEh6Dh06pN69e0uSRowYoZo1axqcCAAAAKlNkirSidKwYUP99ddf+umnn/TGG288sztOdDzZJ1++fPrxxx917tw5eXh4JGDyuHn77bdt2rt3745232vXrikgIMDadnR0VLFixeIpWdxcv37dpv2qhwMp9X0AAAAAACA1cnNzs2k/ePAg0TMEBwfbtF1cXBI9AwCkBM2aNdP8+fNlMpk0bdo0DRw4kEIdAAAAAHFy/Phx69cmk0lNmjSJ08K7UTvwRBXdbNy48aXnjx492nquxWLRpk2bFBEREevxE8K1a9dUs2ZNXb582XosZ86c2rp1q3LmzGlgMiDpuXv3rpo3b66wsDA1atRIn3/+udGRAAAAkAolySIdSXJyclLfvn119uxZbd++XZ999pnKlSsnJycnmwKc570cHR1VpkwZDRgwQH5+fjp//rw+/fRTOTs7G31bL9WoUSOb9pYtW6L9B86nt9utUaOGdZVYo+3cudOmnTt37peen1LfBwAAAAAAUqOoiQJRkx0uXbqU6Bnu3bsnSdbnCzwrAIDYa9++vXVl6R9//FHDhg0zNhAAAACAZC1q4deo5zYlS5aM0/VKlChh036yCOh58uTJo3LlylnHDw4O1uHDh+OUIT4FBgaqdu3aOn/+vPVY1qxZ9dtvvyl//vwGJgOSHrPZLE9PT124cEH58uWTl5dXrHdnBwAAAOIi9ktPJKIqVaqoSpUqkqSIiAgFBATo8uXLCgwMVEhIiCTJ1dVVmTJlUq5cuZQvXz45OjoaGTlWKlasqCxZsuj27duSpAsXLmjbtm2qUaPGK/vOnj3bpt24ceMEyRhT9+7d0/Lly22OvWoL0ZT4PgAAAAAAkFo9vVjHuXPnot3X1dVVadKkkfRfkU9sXLt2zab9+uuvx/paAACpa9euCgkJUd++ffXtt9/K1dWVlWkBAAAAxEpoaKhNO2PGjHG63pP9LRaLde7Jy9SqVUv+/v7W9pkzZ1SuXLk45YgPDx48UL169XTixAnrsYwZM2rz5s0qWrSogcmApGn06NFas2aNnJ2dtXz5cmXKlMnoSAAAAEilkkWRzpMcHBxUsGBBFSxY0Ogo8c7Ozk6dOnXSuHHjrMeGDx+u6tWrv3QiytatW7Vjxw5r283Nzbp9r9E+++wz62q10r87JNWvX/+lfVLi+wAAAAAAQGpVsGBB2dnZWXdAftXqpU/avXt3vGR4evVTVhkFgLjr06ePQkJCNHjwYH3xxRdydXVVv379jI4FAAAAIJl5ehJ9YGBgnK539+5d69cmkylai/xG7QQd5caNG3HKEF88PDxsiockacCAAbp9+7a2bNkSo2uVLVuWggWkaL///ru+/vprSdKUKVNUpkwZgxMBAAAgNUt2RTop3eDBg/Xzzz/r4cOHkqTt27dr9OjRL1yF8MqVK+ratavNsX79+ilLliwvHWfYsGEaPny4tV2tWjVt27btheePGjVKtWvXVtmyZaN1HxERERo8ePAzO9v06NFD2bNnf2X/xHofALzYnj17jI4AAAAAIAVwdXVVgQIFrDvonDp1Sg8ePJCbm1uiZTh48KBMJpMsFovs7OxUqFChRBsbAFKyQYMGKTg4WMOHD1f//v3l6uqq7t27Gx0LAAAAQDKSNWtWSf/tovz0Yisx9XT/qOvHJENISEicMsSX583jGTJkSKyu5efnp+rVq8ctEJBEXblyRa1bt5bZbNZHH32kLl26GB0JAAAAqZyd0QFgK0uWLPryyy9tjn3xxRfq1auXrl69aj1mNpvl6+urihUrKiAgwHo8R44c+t///hfvuTZu3Khy5cq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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 1: Organic phase species history dashboard at start-up.\n" ] } ], "source": [ "'''Plot organic phase'''\n", "# TODO: time axis normalized by phase flow residence time.\n", "stg.organic_phase.plot(title='Organic Phase Start-Up', legend='Organic Phase', nrows=2,ncols=3, show=True, figsize=[12,6])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Organic phase species history dashboard at start-up.')" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Overview of the Organic Phase Data at Start-Up.

\n", "\n", "

Summary

\n", "\n", "- The dataset spans 0 to 51.604 s with uniform time steps (~3.44027 s).\n", "- Free ligand [C₄H₉O]₃PO(o) decreases monotonically from 291.75 to 230.811 g/L (Δ = −60.939 g/L, ≈ −20.9%).\n", "- Three complexed species form monotonically:\n", " - H₂O·[C₄H₉O]₃PO(o) rises 0 -> 11.0675 g/L.\n", " - [H₂O]₂·[[C₄H₉O]₃PO]₂(o) rises 0 -> 43.9565 g/L (the largest complex).\n", " - [H₂O]₆·[[C₄H₉O]₃PO]₃(o) rises 0 -> 10.6738 g/L.\n", "- Sum of all organic-species concentrations increases slightly from 291.75 to 296.5088 g/L (Δ ≈ +4.7588 g/L, ≈ +1.63%).\n", "\n", "

Column-by-column analysis

\n", "\n", "- Index / duplicate time column:\n", " - The leftmost column duplicates the \"time [s]\" column; both show identical values.\n", "- time [s]:\n", " - Regular increments of ~3.44027 s; highest value 51.604 s.\n", "- concentration of H₂O·[C₄H₉O]₃PO(o) [g/L]:\n", " - Increases from 0 to 11.0675 g/L; average rate ≈ 0.2145 g·L⁻¹·s⁻¹ over the full interval.\n", " - Growth rate is higher initially (≈0.552 g·L⁻¹·s⁻¹ for 0→3.44 s) and slows toward the end (~0.053 g·L⁻¹·s⁻¹ for last step).\n", "- concentration of [C₄H₉O]₃PO(o) [g/L]:\n", " - Decreases steadily from 291.75 to 230.811 g/L (Δ = −60.939 g/L; ≈ −20.9%).\n", " - Decline is smooth and monotonic, with the largest absolute changes early on and smaller changes later.\n", "- concentration of [H₂O]₂·[[C₄H₉O]₃PO]₂(o) [g/L]:\n", " - Rises to 43.9565 g/L, the largest complex concentration at final time.\n", " - Average growth rate ≈ 0.852 g·L⁻¹·s⁻¹; strong initial formation and pronounced deceleration by the end.\n", "- concentration of [H₂O]₆·[[C₄H₉O]₃PO]₃(o) [g/L]:\n", " - Rises to 10.6738 g/L; average growth rate ≈ 0.2068 g·L⁻¹·s⁻¹.\n", " - Like the others, formation rate slows with time.\n", "\n", "

Comparisons and ratios

\n", "\n", "- Final partitioning (at 51.604 s):\n", " - Free [C₄H₉O]₃PO(o): 230.811 g/L (≈77.9% of initial single-species pool if compared to initial 291.75 alone).\n", " - Total complexes sum ≈ 65.6978 g/L; distribution among complexes:\n", " - [H₂O]₂·[[C₄H₉O]₃PO]₂(o): 43.9565 g/L (~66.9% of total complexes).\n", " - H₂O·[C₄H₉O]₃PO(o): 11.0675 g/L (~16.8%).\n", " - [H₂O]₆·[[C₄H₉O]₃PO]₃(o): 10.6738 g/L (~16.3%).\n", "- Dominant complex: the dimer-type species [H₂O]₂·[[C₄H₉O]₃PO]₂(o) clearly dominates complex formation both in absolute concentration and fraction.\n", "\n", "

Trend implications (data-only observations)

\n", "\n", "- Kinetics implied by the data: rapid complex formation at early times followed by deceleration, consistent with approach toward a slower, near‑steady state by ~50 s.\n", "- Mass/concise accounting: total organic concentration increases slightly (+1.63%), indicating either measurement resolution, water incorporation effects in the reported organic concentrations, or formation of species that raise measured organic-phase mass. The table itself shows monotonic and smooth evolution without oscillations or reversals.\n", "\n", "- Overall, the table documents a conversion of free [C₄H₉O]₃PO(o) into three hydrated complexes with the two‑water complex being the predominant product and with formation rates that decrease over time, approaching a near steady composition by 50–52 s." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 5748\n" ] } ], "source": [ "if cortix_ai:\n", " issues = '+ Title your reponse as: Overview of the Organic Phase Data at Start-Up.'\n", " cortix_ai.explain(phase=stg.organic_phase, issues=issues, markdown_header_level='

', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 1: Molarity history of TBP in the organic phase at start-up.\n", "Time [min] | Free TBP [M] | TBP Monomer [M] | TBP Dimer [M] | TBP Trimer Hexahydrate [M] | balance |\n", " 0.00e+00 1.096 0.000e+00 0.000e+00 0.000e+00 +0.00e+00\n", " 2.87e-01 0.939 2.419e-02 5.303e-02 8.904e-03 +1.11e-15\n", " 5.73e-01 0.885 3.443e-02 7.103e-02 1.124e-02 +4.44e-16\n", " 8.60e-01 0.867 3.892e-02 7.730e-02 1.177e-02 +8.88e-16\n" ] } ], "source": [ "'''Compute molar concentration of TBP species'''\n", "import numpy as np\n", "\n", "tbp_mass_cc_org_history = stg.organic_phase.get_column(tbp_org_name)\n", "tbp_molar_cc_org_history = np.array(tbp_mass_cc_org_history)/tbp_org.molar_mass\n", "\n", "tbp_monomer_mass_cc_org_history = stg.organic_phase.get_column(tbp_monomer_org_name)\n", "tbp_monomer_molar_cc_org_history = np.array(tbp_monomer_mass_cc_org_history)/tbp_monomer_org.molar_mass\n", "\n", "tbp_dimer_mass_cc_org_history = stg.organic_phase.get_column(tbp_dimer_org_name)\n", "tbp_dimer_molar_cc_org_history = np.array(tbp_dimer_mass_cc_org_history)/tbp_dimer_org.molar_mass\n", "\n", "tbp_trimer_hexahydrate_mass_cc_org_history = stg.organic_phase.get_column(tbp_trimer_hexahydrate_org_name)\n", "tbp_trimer_hexahydrate_molar_cc_org_history = np.array(tbp_trimer_hexahydrate_mass_cc_org_history)/tbp_trimer_hexahydrate_org.molar_mass\n", "\n", "time_stamps = np.array(stg.organic_phase.time_stamps)\n", "\n", "tbl_count += 1\n", "print(f'Table {tbl_count}: Molarity history of TBP in the organic phase at start-up.')\n", "print('Time [min] | Free TBP [M] | TBP Monomer [M] | TBP Dimer [M] | TBP Trimer Hexahydrate [M] | balance |')\n", "np.set_printoptions(precision=3, suppress=True, linewidth=100)\n", "for t,a,b,c,d in zip(time_stamps[::5]/unit.min, \n", " tbp_molar_cc_org_history[::5]/unit.molar, \n", " tbp_monomer_molar_cc_org_history[::5]/unit.molar, \n", " tbp_dimer_molar_cc_org_history[::5]/unit.molar, \n", " tbp_trimer_hexahydrate_molar_cc_org_history[::5]/unit.molar):\n", " balance = a+b+2*c+3*d - tbp_mass_cc_org/tbp_org.molar_mass/unit.molar\n", " print(' %1.2e %1.3f %1.3e %1.3e %1.3e %+1.2e'%(t, a, b, c, d, balance))" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 2: Volume fractions of free and total TBP in the organic phase at start-up.\n", "Time [min] | Free TBP vol frac [%] | Total TBP vol frac [%] |\n", " 0.00e+00 30.000 30.000\n", " 2.87e-01 25.701 30.000\n", " 5.73e-01 24.244 30.000\n", " 8.60e-01 23.734 30.000\n" ] } ], "source": [ "'''Volume fraction of TBP at start-up'''\n", "tbl_count += 1\n", "print(f'Table {tbl_count}: Volume fractions of free and total TBP in the organic phase at start-up.')\n", "print('Time [min] | Free TBP vol frac [%] | Total TBP vol frac [%] |')\n", "np.set_printoptions(precision=3, suppress=True, linewidth=100)\n", "total_tbp_molar_cc_org_history = tbp_molar_cc_org_history + tbp_monomer_molar_cc_org_history + \\\n", " 2*tbp_dimer_molar_cc_org_history + 3*tbp_trimer_hexahydrate_molar_cc_org_history\n", "total_tbp_mass_cc_org_history = total_tbp_molar_cc_org_history * tbp_org.molar_mass\n", "for t,a,b in zip(time_stamps[::5]/unit.min, \n", " np.array(tbp_mass_cc_org_history[::5])/rho_tbp*100, total_tbp_mass_cc_org_history[::5]/rho_tbp*100):\n", " print(' %1.2e %1.3f %1.3f'%(t, a, b))" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 3: Mass concentration and molarity history of water in the organic phase at start-up.\n", "Time [s] | [M] | [g/L] |\n", "0.00e+00 0.000e+00 0.000e+00\n", "1.72e+01 1.837e-01 3.309e+00\n", "3.44e+01 2.439e-01 4.394e+00\n", "5.16e+01 2.641e-01 4.758e+00\n" ] } ], "source": [ "'''Total water extracted'''\n", "water_molar_cc_org_history = tbp_monomer_molar_cc_org_history \\\n", " + 2*tbp_dimer_molar_cc_org_history \\\n", " + 6*tbp_trimer_hexahydrate_molar_cc_org_history\n", "\n", "water_mass_cc_org_history = water_molar_cc_org_history * h2o_aqu.molar_mass\n", "\n", "tbl_count += 1\n", "print(f'Table {tbl_count}: Mass concentration and molarity history of water in the organic phase at start-up.')\n", "print('Time [s] | [M] | [g/L] |')\n", "np.set_printoptions(precision=3, suppress=True, linewidth=100)\n", "for a,b,c in zip(stg.organic_phase.time_stamps[::5], water_molar_cc_org_history[::5]/unit.molar, water_mass_cc_org_history[::5]):\n", " print('%1.2e %1.3e %1.3e'%(a, b, c))" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "image/png": 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WY/2/9957SklJsWm74oor9MADD5R6bJcuXfTcc8/ZtOXm5urVV1/12PxKkp+f73Cs999/v9RKq5L06quvqk2bNjZty5Ytc7jMcXkZP368du7cadf+8ssv6+OPP1ZERIRb/UZEROjNN9/UX3/9paZNm5Z1msXKzs7WnDlzbNpMJpNmzpyp+vXru9Wnr6+vbrnlFrtzJgAAAABwBqE/AAAAAKUaM2aMcnNzbdpq1KihP/74Q9WrV3erTx8fH33xxRcaMGCA3WVPPPGETp065Va/wLns5ZdfdviB/2+//eaF2eBcVKdOHV111VU2bYUDGM6aMWOGsrOzrdtt27ZVly5dyjw/nHvq1KmjRYsWaejQoXaX/fPPP3rnnXe8MCugfGVmZuqqq67SDz/8YNNev359TZs2TRs2bNDIkSMVGhrqVv8tWrTQ//73P+3du1e33HKLzWX//POPevXqpfj4eLfnXx6SkpJ0zz33WLfPvFcoLujoqvz8fIdVy10J7T366KOKjo62aZs1a1aFLC3766+/KiYmxqatXbt2DqunOxIQEKCJEyfatU+ZMsUj8yvN4sWL9eWXX9q1P/HEE3r66ac9MkaXLl20du3acquat2LFCrsqfz169FDHjh3LZTwAAAAAKI2vtycAAAAAoHL78ccftWbNGrv2d9991+mll4rj4+OjTz75RG3btlVGRoa1PTU1VZMnT9abb75Zpv7PyM/P16ZNm7Rjxw6dPHlSWVlZCgkJUbt27dS/f/9Sj7dYLFq3bp327dun48ePKzc3V1FRUWrZsqW6du3q1DJO7srJydHevXu1a9cunThxwlqdJCoqSlFRUbrooot04YUXltv4RW3btk0bN27UiRMnlJ+fr+rVq6tBgwbq2bOnQkJCKmwezsjIyNC6det0/PhxxcXFKTk5WUFBQapWrZqaN2+u1q1b231wW9nVrl1bl156qZYsWWLTvmHDBt11111l6vvff//V+vXrdfToUWVnZys6Olp169ZVz549FRkZWaa+izp69Kh27dqlAwcOKDk5WZmZmQoPD1dUVJQaNmyoLl26KDAw0KNjGoah/fv3a8uWLdbHUl5enoKCghQaGqr69eurcePGatGihXx9PffnkpMnT2rDhg06deqUYmNjZbFYVKNGDdWqVUvdunVTVFSUx8bylDvvvFMLFiywbn/zzTd67bXXXLpdii4LXB5V/jIzM7Vnzx7t2rVLcXFxSklJka+vryIjI1W9enW1b9/eqepHrkpNTdXWrVu1Z88eJSUlKS0tTX5+fgoODlb16tXVqFEjNW/e3OGyta7IzMzU9u3btXPnTiUmJio1NVVms1nBwcGKjIxUo0aN1LRpU9WrV89D18x7fHx8NHXqVG3fvl3btm2zuezll1/W2LFj3a4AdUZleCwePnxY69at08GDB5WRkaGoqCjVqlVLl156qWrVquWxcSrqPgr35Ofna+jQoVq6dKlN+5AhQ/Tpp5+W+b5eWP369TV79mzNmjVLd999t/V8e9euXbrxxhu1aNGicj2PdcX48eN17Ngx6/aDDz6orl27eqz/pUuX6sSJEzZtXbp0cSmwFRAQoFGjRumtt96ytmVlZWnu3LkaNWqUp6bq0LfffmvXNmbMGJf6uP7661W7dm2b22H+/PnKyMhQcHBwmedYkieffNKu7eKLL9aLL77o0XGioqI0evRoj/Z5xsGDB+3aOnXqVC5jeZO3zq8cKev7eLgvLy9P//zzj7Zv3664uDj5+PioTp06atKkibp162ZTGRwAAABeZAAAAABACS677DJDks1Pnz59PDrGCy+8YDdGeHi4kZ6eXuJxS5YssTtuyZIl1ssPHjxo3HfffUZkZKTdfs5cj7i4OGPChAlG7dq1HR4vyQgNDTXuueceIyYmxul5lWbjxo3G888/b/Tu3dsICAgoduwzPzVq1DBGjx5t7Nixw+kxCouJibHrc9q0adbLs7KyjLffftto3LhxsXPw9/c3Bg0a5NYcynp7FZaZmWm8//77Ru/evQ1/f/8SbzeTyWRcfPHFxlNPPWXs2bPHrfFc0adPH7s5FL7fOOu+++6z6+eWW24pdv+i+z7//PPWy/Lz840vvvjCaNu2bbG3k9lsNvr372+sXr3ajWtd4NSpU8ann35qDBkyxKhVq1ap92l/f3+jd+/exuzZs438/Hy3xzUMw9i9e7cxfvx4p8aVZAQHBxu9evUyXn75ZWP37t1ujZmQkGC88MILRocOHQyTyVTsWD4+Pkbnzp2Njz/+2MjJySnT9XTHyJEj7eZ0+PBhIycnx6hRo4ZN+9y5c53ud/369TbH+vn5GbGxsYZhGIbZbHb79cRisRgrV640Hn/8ceOSSy4xfH19S/191q9f35gwYYJx8OBBF28dW3l5ecb06dONfv36GT4+Pk7dl5o0aWLcfvvtxty5c43MzEynx5ozZ45x7bXXGn5+fk6NU7duXeOWW24xvvnmGyM5OblM19MZnnouc+Sff/5xeB3feustt/qrqMdio0aNbPobOXKkzeVz5swxunXrVuLr0SWXXGIsXLjQretpGBVzHy3tep7h6HXd1Z9GjRpZ+/v333/tfn/Fje2KG264we615+TJk2XutzSPP/643fV94403yn3ctWvX2j2333///eU+rjPmz59vM69mzZoZGRkZ1ssdvV65eq746KOP2vUxefJkl+e6evVqu36GDBnicj+usFgsRs2aNe3GPXHihMt9jRkzxq6fsjz3OGPlypUOH+fLly8v13E97ZVXXrG7Dk899VS5j+voddfVn8Lv7YryxvmVp97Hl/dt4wlFXzslz503Obo+pSntvf+JEyeMBx980KhWrVqxt1nNmjWN+++/33p+DwAAAO8h9AcAAACgWAcOHHD4Ifm3337r0XGOHj1qFwSRZHz11VclHlfShwWff/65ERwcXOIf+EsKm3z77bdGdHS00x8WhISEGNOnTy91XiXZuXOn0aJFC7c/sDCZTMbdd99tZGVlOXvTG4ZR8h/+t2/fbrRs2dLpOZjNZmPKlCkuje+p0N+UKVOMOnXquH3bff/99y6P6QpPBWWefvppu34GDBhQ7P5F9z0T+jty5IjRvXt3l26np59+2uX5Dhs2zKkPD4v7adWqlbFt2zaXx7VYLMYzzzxTavizpJ9atWq5NGZeXp7x6quvlvghWXE/TZo0MZYuXery9SyL4kJ/hmEYDz30kE37dddd53S/RYOpN910k/Uyd0N/S5cuNRo0aOD279LX19d45pln3AqRbt682WjXrp3bY0ty6nnx4MGDRu/evcs0zhNPPOHy9XNVeYb+DMMw+vXrZ9d/hw4dXOqjoh+LxYXhkpKSjOuuu86l8UeOHGnk5ua6NH5F3Ue9FfozDMO46qqrbC4PCgoyEhISXLqdCjt8+LDd89GwYcPc7s9Zv/76q825tclkMj799NNyH/eM9evXG2FhYTbjr1y5ssLGdyQ+Pt7mCzYmk8nuMeiJ0F/Xrl3t+vjrr79cnm9OTo4RFBRk00+dOnVc7scVO3futJt78+bN3errm2++seurvINrd911l92YF110UbmOWR7efvttu+sxfPjwch+3PINt3jq/8tT7eEJ/9tenNCW991+wYIERFRXl9G0XHR1tzJo1yyPXBQAAAO7xEQAAAAAU4+eff5ZhGDZt0dHRGjRokEfHqVu3rq6++mqH47vjjTfesFnCzFWffPKJhg0bpvj4eKePSU9P16hRo/Txxx+7NaYknThxQnv27HH7eMMw9Pnnn6t3797WZYDLYt26derevbt27drl9DH5+fkaN26cPvvsszKP76ysrCyNGDFC48aN0/Hjx93qwzAMpaamenhm5SM5OdmurVq1ai71sX//fnXt2lWrV6926bhXXnlFzzzzjEvHrFq1Snl5eS4dU9jOnTvVrVs3LVq0yKXjRo4cqUmTJiknJ8ftsV2Rmpqq66+/Xk899ZSSkpJcPj4mJkYDBgywWxbXW4oux/vLL7/o5MmTpR6XnZ2tmTNnltiXO2JiYnT48GG3j8/Ly9OkSZN0ww03uHR/XL9+vfr06aMtW7a4PbYzDhw4oJ49e2r58uXlOk5VMGHCBLu2jRs36ujRo04dX1kei/Hx8erZs6d++uknl4778ssvXVomtKLuo952//3322xnZmZq+vTpbvf36aefKj8/36Zt3LhxbvfnjMzMTI0dO9bm3PrZZ5/VPffcU67jFtaxY0fNmjXLum0Yhu6+++4yvU6X1QMPPGCz3OzYsWPVp08fj46Rn5+vzZs327T5+fmpc+fOLvfl5+enLl262LQdP37c7XNQZ6xfv96urXv37m711aNHD6f69xTDMBy+p3N1aeLKoHbt2nZtv/76a5V5D+GIt86vilPW9/Fw308//aQbbrhBCQkJTh8THx+v4cOHV+h7fwAAANjy9fYEAAAAAFReS5cutWu77LLL5O/v7/GxrrrqKrsPxpcsWeJyP7///rtee+0163ZAQID69eunvn37qnbt2vL19dWRI0e0Zs0apaWl2R0/d+5cjRs3zi7saDab1atXL11xxRWqV6+ezGazjh07piVLlujPP/+0Bovuv/9+TZo0yeV5OxIZGakuXbqoVatWatq0qcLDwxUaGqrMzEzFxcVp+/bt+v3333Xo0CGb49auXat77rlH//d//+f22EeOHNFjjz1mDQ/6+vqqb9++6tevn+rVq6fAwEAdP35cS5Ys0YIFC+w+OH/44Yc1YMAANW7c2O05OCM3N1dXXnmlw6CMj4+POnXqpP79+6thw4aKjo5WVlaW4uPjtXXrVq1Zs0Y7duwo1/mVh+3bt9u11ahRw+njU1NTNXDgQGuAxmQyqUePHrr88svVsGFDhYaG6tSpU/rrr780d+5cZWVl2Rz/2muv6brrrlPXrl1dnrvZbFbHjh3Vpk0btWzZUtHR0QoPD5dhGEpJSdG///6rv//+W3/99ZcsFov1uLS0NN16663auHGjGjRoUOo4X375pb7++mu79ho1aujKK6/URRddpLp16yooKEiZmZlKTU1VTEyMtm/frtWrVysxMdGl65WRkaG+fftqw4YNdpc1bdpU/fr1U7t27RQVFSVfX1/FxcVp3bp1WrhwoU6dOmXdNzc3V3fffbdq1aqla665xqU5eFrbtm3VpUsXrVu3TlLBh7pfffWVHnvssRKPmzt3rs3tV7duXV111VUen1/t2rXVqVMntWrVSo0bN1Z4eLiCg4OVnp6u2NhYbd26Vb/++qtiY2Ntjvv555/19NNP6/XXXy91jOzsbI0YMcIuOGYymdS9e3f17NnT+txsNpuVkpKi+Ph47dixQ5s3b9bmzZvtXkuKc+eddzr80L19+/bq27evWrRooWrVqsnPz0+pqalKTEzUrl27tGXLFv3zzz92z8FVWb9+/eTj42PzHCBJq1ev1s0331zisZXlsZiXl6cbb7xR27Zts7Z16NBBV155pS644AJVq1ZNCQkJWrNmjebMmWMX5p4xY4ZuvPHGUq9vRd5HXREaGqqLL77Yul00bFWrVi2H4ZnC6tata7M9cOBANW3aVPv27bO2ffLJJ3rooYdcnl9eXp4+//xzm7Y2bdqoV69eLvflitdff10HDhywbg8cOFAvvPBCqcclJiZq5syZmj9/vnbv3q2TJ08qPDxcdevW1SWXXKIRI0aoV69eMplMTs3jmmuu0T333GMNaezatUs//PCDhg4d6s7VKpN58+bZBMUbNmyoyZMne3ycAwcO2J3PNGjQwO33NE2bNrU799y9e7fq1Knj9hxL4ugLOM2aNXOrr4YNG8rX19cmoLV7926351aaHTt2OPzSwGWXXVZuY5YXR4HJhIQE3XPPPfr666/l5+dXLuM2a9bM+jx/4sQJu9uz8PNtcaKiopwaqyLOr4rjzvv4irxtzmUxMTF64IEHrM8LZ94fXn311db3XocPH9Yvv/yiv/76y+bcwTAMjRkzRlFRURo8eLBX5g8AAHBe806BQQAAAABVQZMmTeyWcHn99dfLZaw1a9Y4XDLmzFKTjjhaFqjwUm2DBw82Dh06VOzxmZmZNtunTp0yatasaddnly5djM2bNxfbz/79+43LL7/cun/RJb8k55YgW7JkiVG7dm3jySefNNasWePUMkkWi8VYsGCB0bx5c7sxv/vuu1KPNwzHS/wEBgZa/z9w4EBjz549xR6/efNmo3HjxnZ9jBkzxqnxy7K8b9FlRM/83HTTTcauXbtKPf7ff/81XnzxRaNWrVrlvrSTJ5bEPHHihMPlaj/77LNijynpd9u1a1dj/fr1xR4bExNjdOzY0a6PK6+80uk5N2/e3LjpppuMOXPmGElJSU4dc+DAAWPYsGF2415zzTVOHd+sWTO754XXX3/dqaWv8/LyjJUrVxr33nuv0bRpU6fGc7TsYOvWrY3ff//dsFgsxR6XkZFhvPrqq4afn5/NsZGRkSU+93lKScv7GkbBktmFL2vVqlWpfQ4YMMDmmCeffNLmcneX9502bZpxwQUXGJMmTSrx+biwvLw845tvvrFZNlIqWDpy7dq1pR7/9ddf290+HTt2dHq56ePHjxuffPKJ0aFDhxKXTl2xYoXdOBdccIHTS24mJCQYM2bMMHr37m13e5eH8l7e1zAMo23btnZjOLP8pLcei0WX7iv8PNuiRQvjzz//LPbY2NhY48orr7Sbd8uWLUsdt6Luo8Vdz+KW9y2q6BzPLDPvqjfffNOur5Ju2+J8//33dv188MEHbs3JWSkpKTbLTYeGhpZ4jnrGtGnTjOrVqzs81yn806VLF+vv/fnnn7e5zJn5dOvWzaPX1xlxcXFGrVq1bOb666+/Oty3rMv7Llq0yO74fv36uT33orexJGPq1Klu91eaESNG2I335Zdfut1f0cey2Ww2cnJyPDjjs7766iu7uYeHh5f4nFyZde7c2eFj8KKLLjK+/fZbIzs7u1zHd3TfKwtvnF8ZhuffxxuG528bT6kKy/sWPm9p2bKl8ffffxd7/Jo1a4xWrVrZ9VGjRg3j1KlTHrleAAAAcF7lOOsFAAAAUOlkZ2cbJpPJ7o+5ixcvLpfxsrKy7D5sl2QsWrSo2GMcfVhw5mf8+PEuz2Hs2LF2/fTq1ctIT08v9djc3FzjpptuKnY+znwwmZ6ebuTm5ro8b8MoCH106NDBZszu3bs7dayjP/yf+bn33nudCh/u3bvXLuwYHh7u1G3nbujvl19+sTvOZDIZb775pjNX20ZmZqZx/Phxl49zhSeCMnfffbfD31NJH4oV97u99tprHX5gVlR8fLzdh/I+Pj7GwYMHnZqzs0E/R1544QW7329pYc5t27bZXdcXXnjBrfGduf/+3//9n914N954o0sf+v722292z3/jxo1za86uKC30l5SUZPe4XrVqVbH9HTx40PDx8bHZv2hg2N3QX0pKitsBgYMHDxoNGza0GXfYsGGlHnfzzTfbHFO9enUjLi7OrTmUdF969NFHbcbx8/Mz/v33X4+P4ykVEfobPXq03RhDhw4t8RhvPhYdfaAvFQSx4uPjSz0+KyvLYdBxxYoVJR5XUffRM7wd+ktISLB7Trr55ptd7qd///42fYSEhBjJycluzclZb731ls2Yr7zySqnH/Pe//y32NdzRT0hIiPHnn386FfozDMN4/PHHbfbbsmWLJ69yqYYMGWIz/qhRo4rdt6yhv2+++cbu+DvuuMPtuX/++ed2/TnzO3VX4S8Xnfkpy3uynj172vV37NgxD874LEf34759+5bLWBVhwYIFJT4Ow8LCjEGDBhlvvvmmsXz5ciM1NdWj43s62OaN8yvD8Pz7eMMg9OfsdS7pvX+bNm2cOo+Ii4sz2rRpY3f8nXfe6YmrBQAAABf4CAAAAAAcOHr0qMMl3+rVq1cu4wUEBCg6Otqu3dFyh6W55JJL9Pbbb7t0TEpKit1yoBEREZo9e7aCg4NLPd7X11dfffWVGjZs6NK4hQUHB8vX19etYyMjI/XVV1/ZtK1evbpMy9decskl+vDDD+XjU/pbx6ZNm+qBBx6waUtJSdHq1avdHr80L774ol3bU089pUceecTlvgIDA0tdatCbDMPQpEmT7JYjlKQrr7zSqSVvC2vcuLG++eYbBQYGlrpvVFSUnn/+eZs2i8WiP/74w6mxIiIiXJpbYc8995y6dOli3TYMQ1OnTi3xmP3799u13XPPPW6NX9pj3zAMu/vhxRdfrNmzZ7u0ZOAVV1xhdxtPmzbNbum0ihYREaGbbrrJpm3atGnF7j9t2jSbJVl79uyp5s2be2QuYWFhTi9dWVTDhg310Ucf2bR99913dkuqFlX0vjRo0CCHr1POKOm+VHScvn37ur1sozOvV1VBzZo17dqOHDlS7P6V8bFYrVo1ff/9904tGxgQEOBwScTffvutxOMq6j5aWURGRmr48OE2bfPmzdPx48ed7mPPnj1avHixTdttt92m8PBwj8yxONOnT7f+PyIiQvfdd1+J+3/44Yd6+eWXHV5Ws2ZNtWrVSnXr1rV5XkxPT9f111+vrVu3OjWncePG2Ww7+7ruCd9//71mz55t3a5Tp47L5+6uSEhIsGsLDQ11uz9Hx8bHx7vdX2mq8vwdvZerzOfcpbn66qv14IMPFnt5amqq5s6dq0cffVS9e/dWRESEWrdurZEjR+rzzz/Xnj17Km6yTvDG+VVJ3HkfD8/w9/fXnDlznDqPiI6O1pw5c+zOsWbMmKG4uLjymiIAAAAcIPQHAAAAwCFHHy5JZQvwlMZR34mJiS7388Ybb8hsNrt0zIwZM5Senm7T9uSTT7r0oVRISIheeeUVl8b1pLZt26pjx442bStXrnS7v8mTJ7sUQhwxYoRd2/r1690evyQrVqywCxS2adNGEydOLJfxvCUlJUVz585V79699eyzz9pdbjabNXnyZJf7ff755116LN966612j6ny+t0WZjKZdPvtt9u0lXafTk1NtWtzNwRTmgULFmj79u02be+++678/Pxc7uvhhx9WWFiYdTsrK0u//PJLmedYVnfeeafN9v/93/8pIyPDbj/DMGxCLY6O9aaBAweqevXq1u28vDytWbOmxGOK3pfK635UUeNUJdWqVbNrS0lJKXb/yvhYnDBhgktfBLjiiitUo0YNm7bSnmfPx/vO/fffb7Odl5fnMBBfnI8//tjuSy1jx471yNyKs2PHDpsg3ujRo0sMGe7Zs0ePPfaYTVtAQIAef/xx7du3TydPntSOHTt09OhRnTx5Uu+++671+S09PV1z5sxxal6NGzfWBRdcYN1esmSJK1fLbadOndJ//vMfm7aPPvpIkZGR5TZm0XN8SQoKCnK7P0fHOnpt9JSqPH9H7+UcPcdXJW+99ZaeeeYZp74YZbFYtHPnTn311Ve65557dOGFF6pVq1Z65ZVXdPLkyQqYbfly5/yqJO68j4dnPPDAA2rRooXT+7do0cLuS3/Z2dl27wcAAABQvgj9AQAAAHAoMzPTYXt5fkjjqO/i5lGc5s2bq3fv3i6PXbTqi9ls1siRI13uZ/DgwV79IKtoVa2///7b7X769u3r0jFt2rRRSEiITdvu3bvdGr80P/74o13bww8/7HalRG+5+uqr1b59e7ufiy66SA0aNFBkZKRuuummYoNuH3/8sS6++GKXxgwJCbGrlFSayMhIu/tWef1uiyo67oYNG5Sbm1vs/o5CL2UJv5bk+++/t9lu3ry5+vTp41ZfQUFB6tevn03b0qVL3Z2ax/Tr109NmjSxbqekpNhdb6ngOfTAgQPW7dDQUA0ZMqQipugUHx8fNW3a1KattOfHovel8rofFR1nzZo1ysvLK5exqgpH4Z+Szgcq42PR1QqjZrNZnTp1smkr7Xm2ou6jlUn79u116aWX2rR99tlnys/PL/XYrKwsffnllzZtXbt2VYcOHTw6x6L+/PNPm+2bb765xP1fe+01m/t7RESEFi9erMmTJ9uE9CSpRo0aGj9+vDZs2KBWrVq5PLfCj5OKCPNLBRUGT506Zd0eOnSobrzxxnId09F5gzPVjovjKDSXk5Pjdn+lqcrzd/TcXZ5fIqsIPj4+eumll7RixQqX3y9J0q5du/Tf//5XTZs21QsvvKCsrCzPT7KCuHN+VRx338fDM9ypjH7vvffatVWGLy0BAACcT6rWpyEAAAAAzmmOlhZytMRwSdz54EWy/3CiQ4cOqlOnjsv9BAYGqn///vrhhx/cmkdR+/bt099//60tW7Zo3759SklJUUpKirKzsx3eNocOHSpx21nufODi4+Ojxo0b21RbKsvyTiUpGsDw8/PTrbfeWi5jlaedO3e6dVxoaKj+97//6a677nL52G7durm03OUZTZs21a5du6zb7v5u09LStHz5cm3ZskU7duxQfHy8UlJSlJ6ebrM0bOH9C8vOztbJkydVv359h/136dJFPj4+Nn3dc889+umnn9SmTRu35lycZcuW2Wz36NGjTP0VDtdJ0saNG8vUnyeYTCaNGjXKZsnTadOm6Y477rDZr+iyy0OGDLELAXvatm3btG7dOm3ZskUHDx5USkqKUlNTlZ2d7XD/vXv32myX9vzYtWtXm9eGlStX6r///a8mTpzo0YBx165d9e2331q3Y2JidM899+jDDz+sEkuulgdHzwUlLT9Y2R6LTZs2Vb169Vwet2hworTn2Yq6j1Y2999/v/766y/r9uHDh7VgwQJdf/31JR73f//3f3aVrIsucVseVqxYYf1/dHS0unfvXuy+iYmJmjlzpk3bZ599Vup9ukGDBpo3b546dOjgUsW2Bg0aWP9/6tQpGYbh9lKfzpg1a5bNOXL16tX1/vvvl9t4JSnL9fTEe5ayqirzd9Rved7HKlKPHj20ZMkS/fPPP/rmm2/0ww8/lLgUfVHp6emaOHGiFi5cqLlz57r1ulEeyvv8qjjuvo9H2bVs2VIXXnihy8e1aNFCbdq0sXn/v27dOlksFqcqYQIAAKDszt2//gAAAAAok+KWjEpOTlbNmjXLZcykpCS7NlcDD0WXt3V23KIf0LjTzxkdOnQoU+jPYrFo6tSp+uyzz7Ru3Tq3+5Ec36bOKFpdzVlFK3eUR+gvOzvbLoDRvn378yIcExgYqMGDB2vSpElq3LixW31463e7fv16vfHGG/rxxx9druBZVFJSUrGhv6ioKF1//fWaN2+etS0mJkYXX3yxbrjhBg0bNkxXXHFFiUsrOuPYsWM2le0k6ddff1X79u3d7vPEiRM223FxcW735UmjRo3SxIkTrUGsZcuWaf/+/daKU0lJSZo7d67NMeW1tG92drbef/99TZs2TTt27ChTX6U9P44aNUrvvfeeTWDhlVde0cyZMzV69GgNGjRIF110UZnmIBVUuXr66adtHhfTp0/XwoULNWrUKN10003WMOv5wtHvprjzksr4WKyo59mKuo9WNoMHD1adOnV0/Phxa9uUKVNKDf1NmTLFZjsqKkpDhw4tlzkWVjgM0bFjxxIfy8uXL7cJ1nTq1Em33HKLU+O0aNFC99xzj959912n51Z0Wc6kpKRyW2b35MmTdktBvvfee3bLWpcHR0t9l+VcxNGx7nyhwllVef6OnrvdfX9SWXXu3FmdO3fW//73P+3bt08rVqzQmjVrtGHDBm3durXU39W6devUr18/rV271msV4yvy/Ko4ZXn/jbIpWmnYFR07drR5nUtNTdWePXvUsmVLT0wNAAAApSD0BwAAAMCh4j7wS0pKqtDQn6sfPLozt/j4eLs2dwNVkn2FIFfs3LlTt912m8cqfLkbuouKinLruKIfSpa0DKu74uLi7JbxO9dCDWazWWFhYQoPD1e9evXUsWNHdenSRTfccEOZPwys6N9tbm6uHnroIU2ZMsVh9S53lHa/fvPNN7V8+XKbik75+fmaM2eO5syZI7PZrA4dOqh79+7q0qWLevfurUaNGrk0B0eVXE6ePKmTJ0+61E9JHD03eUPDhg3Vv39//fHHH5IKqvZMmzZNL730kiRp5syZNkvTXXjhhXbLb3rCX3/9pZEjR2rfvn0e6a+0+1H79u01fvx4uwDNgQMH9Pzzz+v5559XzZo11bNnT3Xp0kU9evRQ165dFRAQ4NI86tSpo1deeUUPPfSQTXtsbKxef/11vf7666pWrZq1/27duqlHjx4KDQ11aZyqJDEx0a6tuKBuZXwseup5trRlnivqPlrZ+Pn56d5779XEiROtbb/99ptiYmKKPQfbtGmT1qxZY9M2atSoMi2R6gzDMGyes0o7X1m1apXN9rBhw1wa77bbbnMp9Ff0vlBcJS9PGDNmjM1j6brrrnP5+rnL0RdDPB2aK8/qtlV5/o6eD8+10F9hTZs2VdOmTTVq1ChJBeefmzdv1vLlyzVnzhytXLnSYfXDf//9V3fddZfHqsW7oqLPr4pTXn9jcNXVV1+tY8eOuXTM559/rs6dO5fTjMqfO1X+znAU7ouNjSX0BwAAUEEI/QEAAABwqF69ejKZTHYfShw7dkwtWrTw+Hg5OTkOP1QvrppXcdyp3uUoXFC02o4r3D1227Ztuuyyy3Tq1Cm3xy7K3dCdo4oilUXRpfkk18OhlUVMTEyZAqbuqMjfbW5urm655RbNnz/f4/2WpGnTplq0aJEGDx6smJgYu8vz8/P1zz//6J9//rG2NW7cWDfddJNuu+02pyqNVEQgr3CQztvuvPNOa+hPkr788ktNnDhRPj4++uKLL2z2HT16tMfHX7Jkia699lqXlq0sjTPPj2+99ZbMZrPefvtth5fHxsZaw6RSQTXO3r1769Zbb9XNN9+ssLAwp+by4IMPKi8vT0899ZTDoFdSUpIWLlyohQsXSpJ8fX3VrVs3DR06VLfeeqtNta5zgaPAXuFlSAurjI/Finyeraj7aGVz77336pVXXrE+jg3D0CeffKLXXnvN4f5Fq/yZTCaNHTu23OeZkpJiE6SrXbt2ifsXDbF26dLFpfE6dOggX1/fUgOjZxQOX5lMpnJ7Lvnmm29szgUiIiL08ccfl8tYjkRHR9u1paWlud2fo2MdjeEpVXn+jt7LeTKUXdmZzWZ17NhRHTt21IMPPqidO3fqySef1I8//mi375w5c7Ru3TqXH/dl4a3zK0fKWoXbU3bs2KGDBw+6dExZHo+Vgaf/9nEuB3sBAAAqm/NnXRAAAAAALgkICHBY+apwSMaTtmzZ4vADAle/de7r6/p3mxxVNSnLElfuVNDJzc3VkCFDHAb+evbsqRdeeEE///yzNm/erNjYWKWmpiovL0+GYdj8jBw50u15VxUpKSl2bedyxauqbPLkyQ4Df/Xq1dN//vMfffPNN1q9erUOHz6spKQkZWVl2d2nlyxZ4tbYHTp00LZt2zR58uRiw0KFHThwQG+//bY6deqkyy+/XJs2bSpxf0dh4XPZoEGDbMK1hw8f1qJFi7RlyxatX7/e2m42m3XHHXd4dOzExEQNHTrU7gNpHx8fXXHFFXr11Vf166+/avv27YqLi1NaWpry8/Pt7kt9+vRxeWyz2ay33npLa9eu1XXXXVfqa0xWVpZ+//133XnnnWrcuLFeffVVp8M3jz76qLZt26bbbrut1OpjeXl5WrlypR544AE1atRIjz32mNLT052+XpXd2rVr7drOLCdd1Pn2WCyqIu+jlUndunU1aNAgm7YvvvhCOTk5dvumpKRoxowZNm39+/d3exlmVxR9XJYWain6xQZXK1/5+vq6VGny8OHD1v9HRES4dR5dmuzsbI0fP96m7a233lLdunU9PlZxatWqZdfmqEqoswrfbiWN4SnlPX8fH59yC3w6ei+3YcMGh9XuzgetWrXS/Pnz9cILLzi8fOrUqRU2F2+eXzlSHs8/lYGj6+WJL/Y4qthpNpvd6qsslT4dHZuamup2fwAAAHDNuXkWDQAAAMAjOnbsqAMHDti0rVu3rlzGctRv9erVnQrrlJWjb6eX5Q/VjkJppfn000+1c+dOm7amTZvq22+/dWmpoLIs9VVVOPrAvKpXVzgXxcbG6tVXX7Vp8/X11RtvvKH777/f6Q/2ynKfDg4O1uOPP67HHntMK1as0B9//KHly5dr3bp1Jfb7559/qmvXrvr000+LDdIGBQXZtT3xxBPFVpmq6gICAjR8+HB9+OGH1rYvvvjCLogwcOBA1alTx6Njv/LKK3aB6M6dO2vmzJkuhXbKcl/q0qWLfvzxR8XGxurnn3/WkiVL9NdffzmsJHlGQkKCnn76ac2fP1+//vqrU0tzX3jhhfrmm2/04YcfasGCBVqyZIlWrlyp3bt3FxuQyMjI0Jtvvqkff/xRv//+u8tLVVc2iYmJ2r17t117cRU4z7fHYnEq6j5amdx///2aPXu2dfvUqVP6/vvvNXz4cJv9vv76a7vwXUVU+XPEx6dyfQe/8Pl3eYUgMzMz7cK577//vt5//32n+zh06JBd29133233pY+xY8c6/N06WvbZ1Upepc2nuKWlPcGT87dYLDp69KhNW/369cutQmmnTp3s2pKTk7V79+7zevnP559/XqtWrdLvv/9u0/7nn39W2Bwqw/nV+cDRa6sn3rs66sPd6vdl+eKIo2OrahVhAACAqojQHwAAAIBi9e3b17oc3BmLFy9WTk5OmSrhOfLbb7/ZtfXr18+jYxTH0R/Hy7JcoDvHzpo1y2Y7LCxMixYtcnnpV0dL355rHC0/dr5XeqqMfvzxR7vKIZMnT9aDDz7oUj+euE+bTCb17t1bvXv3llRQJW3Tpk1asWKFFi1apCVLlth9YJmTk6O77rpLTZo0sR5XmKOKOOf642/06NE2ob958+bZVfcoj6V9v/32W5vtBg0aaNGiRS4vReaJ30/NmjV155136s4775RUsEThypUrtXz5cv3yyy/6999/7Y5Zs2aNhgwZYvfBfkkiIiI0fPhwa3gpMTFRq1at0ooVK7Rw4UJt3brV7pg9e/bommuu0YYNGzz+Gl2R/vzzT7uAo8lkUvfu3R3ufz4+FktSUffRyqBXr166+OKLtXnzZmvblClT7EJ/RZeRrVu3rm644YYKmWPR58jSgh5Fz0lPnTrlUjAqPz/f6XOio0eP2lTw7t+/v9PjlFXh35m79u3bZ9d24sQJh/s2atRIgYGBNtW1Dh8+7PZ7Gkdjl2eAzVG1vL1797rV16FDh+yqq5fn3Fu3bq2aNWsqNjbWpn3x4sXndehPksaPH2/3vLtv3z7l5+e7XbHNFZXp/KoyKfqlx7Jy9LcGTyx/66gPd0N/ycnJbs/D0bFV7UsEAAAAVVnl+mohAAAAgErl2muvtWuLi4tzuFxnWZw4cUILFixwavzyULNmTbsleR0FKpy1ZcsWl/ZPS0vT6tWrbdruuOMOlwN/krR//36Xj6lqqlevblclztXbHOXvjz/+sNmOjIzUAw884HI/5XGf9vX1VefOnfXQQw9pwYIFio2N1ccff2y31GB+fr4ee+wxh304WmqvLFWDqoJOnTqpXbt21u3s7GybD3pr1Kih6667zqNj7ty5024Jw/Hjx7v8gXRubm6ZlkIsTq1atTR48GC9++672rNnj9avX69bb73Vbr8//vhDv/zyi9vjREZG6pprrtFrr72mLVu2aPfu3Ro3bpxdKGD79u0VujRgeXj33Xft2jp37lxsBcnz8bHoioq6j3rLfffdZ7O9cuVKbd++3WZ727ZtNvvcfffdFbaMZFhYmE0FtaIV1oqqX7++zXbhUJ4zNm/ebBfoKs5nn32m/Px86/aAAQNcGqsq8fX1tXn9kgrC/YWXp3dWbm6uXYXy2rVre7zKbWGOquUVfe/grFWrVtm1FVdJ1RNMJpPD93SffPJJuY1ZVVxyySV2bYZhlOnLZ86q7OdX5xJHX07YtWtXmfstukpAcWM5Y8+ePW7Pw1F1ZleXpgcAAID7CP0BAAAAKFaTJk3Up08fu/YpU6Z4dJzPP/9ceXl5Nm3h4eEaPHiwR8cpjp+fn9q3b2/TtnbtWlksFrf6+/vvv13a/9ixY3Zj9erVy+VxT548eV6E/vz9/e0+nNy0aVOZliWC5x0+fNhmu2vXrm4tHefuh9quCA0N1ZgxY7Rhwwa7JcXXrl1rd10kqVmzZoqKirJpW7VqlU2A4lx0pnqYIyNGjPD48oCObnt3nh83btxoU+GpvHTs2FGzZs3Syy+/bHfZDz/84LFxWrRooY8++khfffVVuY5T0dauXauVK1fatd9+++3FHnO+PhbdVVH30Ypy22232VUUKnyeWvSc1Ww265577qmIqUkqWM638JLbjsIRhRWtaPl///d/Lo1XtHJXcQ4cOKA33njDut26dWv17dvXpbGqGkevHY6eb0qzceNGu0rGjioCe1LLli1Vo0YNm7Y9e/bYVc9zhqPrXN7zd3TusGXLFv3111/lOm5lV1zAriJCyVXt/KoqcxSq9cQX1ooG2iXHAWFnuBOALu7YsLAwtWjRwu3+AAAA4BpCfwAAAABKNH78eLu2JUuWaPbs2R7p/+DBg3rttdfs2u+66y67JdHKU9EPWU+cOKElS5a43M+ePXtcrsoSFxdn11Y0wOAMT/1OqoKiH0zn5eU5/UE3KkbR+7U79+m4uDi3HofuqlWrlh555BG7dkeVP318fOyWQkxLS6tyy2O6asSIEcUuhVhSINBdnnp+dDU4U1ZPPPGE3VLk5VGRdPjw4Xah9apa+TQtLU2jRo2ya4+IiHDYfsb5+lgsq4q6j0qyq0jpyUBmcHCw3bLiX3/9tdLT0xUXF6fvv//e5rLrrrvOrppeeSu8hOnff/9tt3x1Yb1797Z5jl2zZo1+/PFHp8Y5ePCgU9XTUlJSdPPNN9sE1yZOnCgfn/L5qKBatWoyDKNMPyNHjrTrd8mSJXb7vfDCC8XO46qrrrJrK3r/cIajYxz17Ukmk0lXXHGFXburQd28vDzNmzfPpi0wMNDhl7w86dJLL1Xnzp3t2h944AGnK1Oei06ePGnX5u/vX+ISrY4Cge48p1bV86uSeOq28bRLL73Uru2XX34p8bXAGT///LNTYzlj586dblX727Nnj011XUnq0qVLub2eAAAAwB5nXgAAAABKNGjQIIffGB8/frzDDwtcYbFYNGbMGLsKbWFhYXrqqafK1Lerhg4datf25ptvutxP4aopznIUbnT1ts3NzdX777/v8thV1aBBg+za3nnnHbuKkfCeovdrd54vPvzwwwqvHlI4nHFGcnKyw31vuOEGu7ZXX33V43OqTKKjo3X99dfbtXfp0kVt27b1+HieeH5MSkrSF1984akpOcVsNqt58+Y2bcXdj8qq6H22vMYpT/n5+Ro9erTDpeqee+45hYWFlXj8+fhYLKuKvI8W/f2lpaV5tP/77rtPJpPJup2SkqKZM2fqiy++UE5Ojs2+48aN8+jYzigcwoiLi9PmzZuL3Tc6OtrunHT06NF2y8kWderUKd10001KSUkpcb99+/bp8ssvt6nMdMUVV1RYdW1v6tevn91y4GvXrtWmTZuc7iMnJ0fTp0+3aQsMDHR4XuppjpbldnWJ3J9++knHjx+3abvhhhsUHBxcprk5w9GXvDZu3FhiUNMdCQkJmjZtmkf7LC+LFy+2a2vSpInN81lRjl4P3XlOrarnVyXx1G3jaZ06dVJ4eLhN25EjR8r0xaa9e/faVUM3m81lqtr52WefeeSYgQMHuj0HAAAAuI7QHwAAAIASmUwmffLJJ3bfnD958qQGDBighIQEt/o1DEP33nuvfvvtN7vLJk+ebLeEVXnr1q2bOnToYNP266+/6ptvvnG6j8WLF2vq1Kkuj12nTh27NlcrFE2cOFH//vuvy2NXVd26dbP7UGP79u16/vnnvTQjFFX0fr1q1SqXlmDevn27V0I7RT8Ml1Ts89HQoUPVrFkzm7YVK1bonXfeKZe5VRZffvmljh8/bvPz559/lstYnnh+vP/++5WUlOShGTmv6H2pvF7XKmqc8nLs2DFddtllDqtndevWTQ888ECpfZyvj8Wyqqj7TtGqVfv37/do/02bNrWrtPbRRx/ZBaKaNWumAQMGeHRsZxStTjxz5swS93/qqacUEBBg3U5ISFCfPn309NNPKyYmxmbfpKQkTZ06VR07dtSGDRsc9mcYhrZv366HH35YF198sU2AsFWrVpo9e3aJIaNzRXFLO7vyRaO3335bp06dsmm79dZb7ZaYLg9XXXWVGjdubNO2efNmpyut5eTkODxPrqggbP/+/XXHHXfYtb/66qtufWnKkbVr1+qSSy7RsmXLPNJfURs2bNCKFSs80ldOTo7DL5hdc801JR7nqAqgO8+pVfn8qjieum08LSAgwOFzz2OPPeZ2JcKHH37Yrm3w4MGqW7euW/1J0vvvv6+9e/c6vf/evXvtvnQYEBBQYnVmAAAAeB6hPwAAAACl6tSpkyZNmmTXvmnTJl122WXavXu3S/2lpKRo5MiRDgNy119/vcaOHev2XMvi2WeftWu76667NGfOnFKPXb58uW688Ua3lumpWbOmWrRoYdM2Y8aMEivBFDZt2rTzsqLRc889Z9f26quv6u2333a5r+zsbJ04ccIT08JpvXr1stlOS0vTxIkTnTr2wIEDuv7665Wdne3yuNOnT9cPP/zg1odoubm5+uijj2zafHx8iq1g5+vr6/A6Pf744y5X3yls1apVGj58uNvHl7fg4GDVrl3b5qe0Smzu6tChg0JDQ23a3n33XR05csSp41988UXNmDHD5XHT0tL02GOP6dChQy4fK0nz58/XwYMHbdouvvhih/s+8sgj2rFjh1vjOAogFDdOZRMXF6fXXntN7du31/Lly+0ur1+/vr777jv5+fmV2tf5+FisyPtoWV100UU228uWLXMpBO6M+++/32Z706ZNdmGPe++91yvhtq5du6pBgwbW7S+//LLEKratWrWyO6/LzMzUq6++qgsuuEC1a9dWmzZt1KhRI1WvXl1333239TkxNDRUt9xyi82xNWrUUNu2bfXOO+/Y3O7t2rXTwoULFRER4YmrWSWMHz/e7vXq119/1YcffljqsevXr7erSufr66snn3zS6fFHjRolk8lk8+Nspbvixrr//vvtHsuOPP3009q6datNW69evcp9ad/C3nvvPbVq1cqmzTAMPf7447rvvvuUmprqVr/Jycl65JFHdOmll2rfvn2emKpDe/bsUe/evXXZZZdp8eLFbi/Pmpubq1GjRmnbtm027SaTScOGDSvx2KLPp5K0cOFCl+fgrfOr8uSp26Y8TJgwwe58ZsOGDRo3bpwsFotLfb344ov66aef7NofffTRMs0xOztbN910kxITE0vdNzExUTfddJPde7Xhw4erevXqZZoHAAAAXEPoDwAAAIBTnnjiCY0ePdquffPmzWrXrp2effZZnTx5ssQ+srKyNGPGDLVq1Upff/213eWdOnXSN99847VqI4MGDdKQIUNs2nJycjR48GANHTpUK1assPuj/Lp16zRmzBj169fP+kFV9+7dXR676Li5ubm66qqrtHTp0mKPSUpK0oQJE3TXXXdZ51V06aBzWf/+/e2qHBiGoUceeUQ333yz9uzZU2ofMTExevnll9W4cWP9+uuv5TXV89LgwYPl42P7Z4c33nhDzz77bInLMM+aNUvdu3e3hjVcvU9v2rRJN998s5o1a6Znnnmm2MpHRR08eFDXX3+93RKKl19+uWrXrl3sccOHD7d7bszLy9PYsWM1ePBgbdmyxanxjxw5onfffVfdunXTpZdeqh9//NGp4851fn5+uvHGG23aEhMT1b9//xJv22PHjmn48OE2VY1cuS/l5eXpzTff1AUXXKBBgwZpxowZTi19arFYNH36dI0YMcLuMkdtkjR16lS1adNGAwYM0GeffabY2Fin5vjzzz9r4MCBdq9LxY3jbVlZWVqzZo3ef/993XrrrWrQoIGeeuopu6pZUsHyhkuXLlX9+vWd7v98eyxW5H20rHr06GGznZycrKFDhzpcztldAwcOVNOmTYu9PCAgwOF5bEUwmUw24dHY2NhSl1F86KGHig1wnDx5Ujt27NChQ4dsAu4hISH68ccf1bp1a5v94+Pj7fq488479ffff9tVjjvX1ahRQy+++KJd+wMPPKCXX3652POTH3/8Uf369bMLuDz44IO68MILy2Wujtx9993q2LGjTVtcXJy6d+9ut9TnGRkZGRo3bpzeeustm3ZfX1+7Kl3lLSIiQgsWLFC9evXsLvvoo490wQUX6J133nF6mdmdO3fqiSeeUKNGjfT222+XeH7pSUuWLFH//v3VtGlTPfvss04H9y0Wi3799Vd16dJFs2bNsrt85MiR6ty5c4l9tG3b1u585tVXX9X06dOVmZnp9HXw1vlVefLUbVMeGjRooJdeesmu/bPPPtOAAQNsllwvzr///qshQ4Y4rNj5wAMPqEuXLm7PLzAwUJK0detW9ezZU2vXri1233Xr1qlXr152IeIaNWpo8uTJbs8BAAAA7vEtfRcAAAAAKPD555/L19fX7oPKnJwcTZo0Sa+88op69uypnj17qk6dOqpZs6ZSUlJ0/Phxbd26Vb/88ovS0tIc9t29e3ctXLiw3KpFOWvKlCnauXOn3R+xZ8+erdmzZ1srXJnNZh0/ftzu+nTs2FHPPfecBg4caNNuNptLHPehhx7SBx98YLNE0okTJ9SvXz/17t1bV155pRo3biyTyaQTJ05o9erVdrdn//79Va9ePX311VduXvuqZ/Lkydq4caOWLFli0/7DDz9o7ty56ty5s/r3769GjRopKipKWVlZSkhI0LZt27Ru3TqnqynCdS1atNCIESPs7o+TJk3S9OnTdfPNN6tdu3YKDQ1VQkKCdu/erR9//NGmQktwcLAmT57s1tJzBw4c0Msvv6yXX35ZderUUceOHdW+fXvVrVtX1apVk7+/v9LS0nTgwAGtWrVKS5cuVW5urk0fAQEBdh+SO/Lxxx9r7969dhXX5syZozlz5ujiiy9Wnz591Lx5c0VHR8vHx0dJSUmKj4/Xtm3btH79ev37779uV4w51z377LP6v//7P5vfz549e9ShQwddddVVuuyyy1S/fn3l5eXp+PHjWrp0qRYtWmQTzrjzzju1b98+l5f8y8/P17x58zRv3jz5+fmpXbt26tChg1q2bKnIyEhFREQoNzdXsbGx2r59u3799VeHldduu+22UgPhixYt0qJFizR27Fi1adNGHTp0UOvWrRUdHa1q1aopPz9fCQkJ2rlzp/744w/t2rXLro9evXpp6NChLl1HT7j66qvl7+9v156Tk6Pk5GQlJyc7Xdlt0KBBmjp1qsNl+kpzPj4WK/I+6q477rhDzzzzjE0gZ8GCBVqwYIEiIyNVq1Ytm+VsJalu3bouVWgymUwaN25csUG5W265xavVh+677z69/fbb1uexiRMnatiwYSXO6Y033lCLFi305JNPKiEhocT+O3XqpC+//FJt2rQp9nnObDZr8ODBeuKJJ+yCY+eTCRMm6Pfff9cvv/xibTMMQ88884w+/vhj3XbbbWrevLkCAgIUExOjefPmOfwCQXGV0MuT2WzWrFmz1KVLF6WkpFjbjx8/rh49euiyyy7TFVdcoYYNGyo5OVk7d+7UN9984/D+89prr3mlMmyTJk20cuVKXXXVVXbV4uPi4vTwww/rkUceUceOHdW7d2/VqVNH1atXV3h4uDIyMnTs2DHt2rVLK1eudGkp0vIQExOjSZMmadKkSYqKilLXrl3VoUMH1axZU9HR0QoMDFRaWppOnDihbdu2afHixXbLqp/RqlUrh8v9FuXn56cRI0bYVKZOT0/X6NGjdffdd6tBgwYKCwuz++LNiy++qOuvv96mzZvnV+XBk7dNeXj88ce1atUquy8TLF68WJ07d1a7du3Ur18/NWvWTFFRUTKbzUpISNDBgwe1dOlS/fPPPw4rmXfr1s2p9yulze3tt99WWlqaduzYoW7duqlnz54aOHCgtVLt4cOH9euvv2rFihV250kmk0lTpkxRjRo1yjQPAAAAuMEAAAAAABd99NFHRlBQkCHJIz9jx441srKyXJ7HkiVL7PpasmRJma/fqVOnjPbt27t8Pdq2bWscO3bM+OOPP+wu27RpU6njLliwwDCbzW7dhm3btjUSEhKMkSNH2rQ3atSo1HFjYmLs+ps2bZpbt12fPn1s+unTp0+px5T195iZmWkMGzaszPdDd6+zs4reNpKMmJiYch3TMAy7MZ9//nm3+nHnvpWUlGS0bNnSrd+Hn5+fsWDBApfvHxMmTPDI81JAQIAxe/Zsp2+fzMxM48477/TY82JISIjTY7ur6O9UknH48OFyHbPoc5wzzxGGYRgff/yx27flZZddZmRlZbn0/JSYmOix32Xfvn2N5OTkYseKiIjwyDht27Y1jh496uJvxHWOnss88dOpUydj4cKFZZ6fNx6LjRo1sjlm5MiRbs39+eeftxu/OBV5H/XE9XzhhRdcmpMzrzFFJSQkGMHBwQ77++uvv1zuz9NGjx5tM6dbb73VqePi4+ON9957z+jfv79Rv359IyAgwIiOjjYuuugi4+677zYWL15sWCwW6/4vvviiERkZaTRt2tTo2rWrMW7cOGPWrFnG8ePHy+uqlTtHr1dlOedPTU01Lr30UrcfM61atTJOnjzpkevhznnZ8uXLjdDQULfn//DDD7s8pqelpqY6vD3K+tO5c2dj1apV5TLnWbNmeXy+kowOHToYsbGxTs/j+PHjRu3atV0ao7j3ORV9fnVGeb2P9+RtUx4yMzPtXgvK8nPdddcZSUlJLs2huPf+8+fPd+tvESaTyfjkk0/K6RYDAABAaVjeFwAAAIDLxo0bpx07duiWW26x+6a8K7p06aKlS5dqypQpdhVevKl69er6+++/9fzzzzs1L7PZrDFjxuivv/5SnTp1lJiYaLdPREREqf1cffXV+u6771xeIunaa6/VihUr3KqKdC4IDAzUzJkz9f7776tmzZpu9eHr66vo6GgPzwwRERFatGiRunXr5tJxdevW1aJFi3T11Ve7PGbNmjXLvER427ZttXjxYt1yyy1OHxMYGKipU6fqm2++0QUXXFCm8WvWrKn//Oc/ZerjXDNmzBh99NFHDqvJleTOO+/UwoULXX6N8cRzgp+fnx5++GH9+uuvJT6vl7R8tDNMJpNGjhyplStXqm7dumXqq6LVrl1bY8eO1YoVK/TPP//YVcl1x/nyWKzI+6gnPPvss3r55Zddfgy7IjIy0mYZ3TPatWtnt8SwN7z88ss2t/O3336rDz/8sNTjoqKi9MADD2jRokU6fPiwsrKyFBcXpy1btuizzz5Tv379bF73nn32WSUkJGjv3r36+++/9dFHH+nWW28t83PNuSQ0NFSLFi3Svffe6/I5w0033aTVq1e7fc7pCb169dLq1avVpk0bl44LCQnRlClTylwVzBNCQ0M1ffp0LV++XL169Spzfx06dNDMmTO1du3acqta2qNHD02YMEGNGjXySH9hYWF64403tGbNGpcqpNWuXVuLFy9Wp06dyjyHij6/Km+evG3KQ2BgoL744gt98cUX1gp67qhevbreeOMNzZ8/36m/Mzjj+uuv17x581StWjWnj4mKitKMGTN07733emQOAAAAcB2hPwAAAABuady4sWbPnq1du3bpv//9r1q3bu3Uh2a1a9fWXXfdpaVLl2rt2rXq06dPBczWdQEBAXrhhRd04MABffDBB7riiivUrFkzhYSEyN/fX7Vr11bfvn01ceJE/fvvv/r444+tH+SeOHHCrr+oqCinxh00aJC2bNmiMWPGKCgoqNj9fHx81LdvX82fP18//fSTS3+cP1fdf//92r9/v15//XVdcsklpQZSfXx81LVrV7300ks6cOCArrvuugqa6fmlXr16Wr58uT744INSAziNGjXSSy+9pF27dql3795ujff000/r+PHjmjp1qm677TY1adLEqeP8/Pw0cOBAzZgxQ5s2bXI7IHLbbbdpz549mjFjhgYOHOj0kuWtW7fW+PHjtXDhQh09elSvv/66W+Ofy8aNG6cNGzZo6NCh8vPzK3Y/f39/XXfddVq+fLmmTp3q1gfSoaGhOnnypFasWKGnn35avXv3VnBwsFPHNmrUSI8//rh27typt956q9Txd+3apfXr1+ull17SgAEDnA5fnQmkbdiwQdOnT/fYh76eYjKZ5O/vr7CwMNWvX18dO3bUddddp0ceeURffPGFdu3apePHj2vKlCnq2bOnx8c/1x+LFXkf9QQfHx89/fTTOnr0qD744AMNHTpUbdu2VfXq1RUYGOixcTp37mzX5s4S8eWhTp06evXVV23aJkyYoB9++MFLMzq/BQYG6pNPPtHff/+twYMHl/g48PX11ZVXXqnff/9dP/zwQ6V4vm3btq02bdqkTz/9tNRleqOjozVhwgTt2rVLY8eOraAZOqdXr15avny5NmzYoEcffVQtW7Z06j2lr6+vOnTooMcee0xbt27Vhg0bNGzYsDJ/8aMkDRs21P/+9z8dOHBAGzdu1FtvvaVBgwapVq1aTvcRGhqqK6+8UtOmTdORI0f06KOPlnhOU5xWrVpp3bp1WrZsmR588EH169dP9evXV3h4uMxms0t9VeT5VUXw5G1TXkaPHq19+/Zp+vTpuuKKK5w6RwkMDFTv3r313nvv6eDBg3r00Uc9fn+/9tprtWPHDt13330lno/WqFFD999/v3bt2qVhw4Z5dA4AAABwjckwDMPbkwAAAABwboiPj9eWLVsUExOjhIQEZWZmyt/fX+Hh4WrYsKFatWpV5qo7VcFtt92mmTNnWrcbNGigQ4cOudxPdna21qxZo927dys+Pl4Wi0XVqlVT06ZN1aVLF6eDhOerxMRErVu3TidPntSpU6eUmZmpkJAQRUVFqUWLFmrdunW5VzaCvd27d2vdunU6deqU0tPTFRISovr166tdu3a68MILy2XM+Ph4/fv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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 2: Organic phase mass density history at start-up.\n" ] } ], "source": [ "'''Organic phase mass density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.mass_density_history('organic')\n", "\n", "quant.plot(title='Organic Phase Mass Density @ %2.1f C Start-Up'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+r'$-\\rho_\\text{diluent}$'\n", " ' ['+quant.unit+']', show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Organic phase mass density history at start-up.')" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 4: Organic phase mass density history at start-up.\n", "Time [s] Organic Phase Mass Density [g/L]\n", "0.000000 291.75\n", "17.201342 295.06\n", "34.402683 296.14\n", "51.604025 296.51\n", "Name: Organic Phase Mass Density [g/L]; Time History in [s], dtype: float64\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Organic phase mass density history at start-up.')\n", "print('Time [s] Organic Phase Mass Density [g/L]')\n", "print(quant.value[::5].apply(lambda x: round(x,2)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Aqueous Phase Results" ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 3: Aqueous phase species history dashboard at start-up.\n" ] } ], "source": [ "'''Plot aqueous phase'''\n", "# TODO: time axis normalized by phase flow residence time.\n", "stg.aqueous_phase.plot(title='Aqueous Phase Start-Up', legend='Aqueous Phase', nrows=2,ncols=3, show=True, figsize=[12,6])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Aqueous phase species history dashboard at start-up.')" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "Overview of the Aqueous Phase Data at Start-Up.\n", "\n", "

Summary

\n", "\n", "- The dataset spans 0 to 51.604 s and records concentrations of H₂O(a), N₂(a), and O₂(a). \n", "- H₂O(a) decreases steadily; N₂(a) and O₂(a) increase steadily. Changes are small for dissolved gases compared with H₂O(a).\n", "\n", "

Key numeric observations

\n", "\n", "- H₂O(a): initial 992.000 g/L → final 986.288 g/L; absolute change −5.712 g/L over 51.604 s; mean rate ≈ −0.1107 g·L⁻¹·s⁻¹; relative change ≈ −0.576%. \n", "- N₂(a): initial 0.00815443 g/L → final 0.00853078 g/L; absolute change +0.00037635 g/L; mean rate ≈ +7.29×10⁻⁶ g·L⁻¹·s⁻¹; relative change ≈ +4.62%. \n", "- O₂(a): initial 0.00534370 g/L → final 0.00540316 g/L; absolute change +0.00005946 g/L; mean rate ≈ +1.15×10⁻⁶ g·L⁻¹·s⁻¹; relative change ≈ +1.11%.\n", "\n", "

Trends and monotonicity

\n", "\n", "- All three variables are monotonic across the recorded times: H₂O(a) strictly decreases at every sample; N₂(a) and O₂(a) strictly increase at every sample. \n", "- Changes appear approximately linear on the sampling interval (steady per-sample increments).\n", "\n", "

Comparative remarks

\n", "\n", "- Magnitude: H₂O(a) (~10³ g/L) dominates the mass; dissolved gases are orders of magnitude smaller (~10⁻³–10⁻² g/L). \n", "- Rate comparison: the magnitude of H₂O(a) loss (~0.11 g·L⁻¹·s⁻¹) far exceeds the combined increase rates of N₂(a)+O₂(a) (~8.44×10⁻⁶ g·L⁻¹·s⁻¹), so the gas increases do not account for the H₂O(a) decrease in a direct 1:1 mass sense over this interval. \n", "- All columns are internally consistent with steady, short-term start-up behavior: water concentration falls modestly while dissolved-gas concentrations rise slightly." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 4841\n" ] } ], "source": [ "if cortix_ai:\n", " issues = '+ Title your reponse as: Overview of the Aqueous Phase Data at Start-Up.'\n", " cortix_ai.explain(phase=stg.aqueous_phase, issues=issues, markdown_header_level='

', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 4: Aqueous phase mass density history at start-up.\n" ] } ], "source": [ "'''Aqueous phase mass density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.mass_density_history('aqueous')\n", "\n", "quant.plot(title='Aqueous Phase Mass Density @ %2.1f C Start-Up'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Aqueous phase mass density history at start-up.')" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 5: Aqueous phase mass density history at start-up.\n", "Time [s] Aqueous Phase Mass Density [g/L]\n", "0.000000 992.01\n", "17.201342 988.04\n", "34.402683 986.74\n", "51.604025 986.30\n", "Name: Aqueous Phase Mass Density [g/L]; Time History in [s], dtype: float64\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Aqueous phase mass density history at start-up.')\n", "print('Time [s] Aqueous Phase Mass Density [g/L]')\n", "print(quant.value[::5].apply(lambda x: round(x,2)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Vapor Phase Results" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 5: Vapor phase species history dashboard at start-up.\n" ] } ], "source": [ "'''Plot vapor phase'''\n", "# TODO: time axis normalized by phase flow residence time.\n", "stg.vapor_phase.plot(title='Vapor Phase Start-Up', legend='Vapor Phase', nrows=2,ncols=3, show=True, figsize=[12,6])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Vapor phase species history dashboard at start-up.')" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Overview of the Vapor Phase Data at Start-Up

\n", "\n", "

Summary

\n", "\n", "- The table contains 16 uniformly sampled time points from 0 s to 51.604 s (Δt ≈ 3.44027 s).\n", "- Three vapor species tracked: H₂O(v), N₂(v), O₂(v); all concentrations given in g/L and increase monotonically over the interval.\n", "\n", "

Quantitative trends (absolute and per-second rates)

\n", "\n", "- H₂O(v): rises from 0.0178756 g/L to 0.026368 g/L; absolute increase = 0.0084924 g/L; mean rate ≈ 1.6456×10⁻⁴ g·L⁻¹·s⁻¹ (≈5.662×10⁻⁴ g/L per sampling interval).\n", "- N₂(v): rises from 0.817538 g/L to 0.876683 g/L; absolute increase = 0.059145 g/L; mean rate ≈ 1.1461×10⁻³ g·L⁻¹·s⁻¹ (≈3.943×10⁻³ g/L per sampling interval).\n", "- O₂(v): rises from 0.25142 g/L to 0.255762 g/L; absolute increase = 0.004342 g/L; mean rate ≈ 8.414×10⁻⁵ g·L⁻¹·s⁻¹ (≈2.895×10⁻⁴ g/L per sampling interval).\n", "\n", "

Comparative analysis (relative changes and ranks)

\n", "\n", "- Relative (%) changes over the 51.604 s:\n", " - H₂O(v): +47.5% (largest relative increase).\n", " - N₂(v): +7.23%.\n", " - O₂(v): +1.73% (smallest relative change).\n", "- Absolute magnitude and concentration rank (at all times): N₂(v) ≫ O₂(v) > H₂O(v); N₂(v) also has the largest absolute increase and highest absolute concentration throughout.\n", "- Growth-rate rank (absolute rate): N₂(v) > H₂O(v) > O₂(v) by per-second slope; growth-rate rank (relative) places H₂O(v) first.\n", "\n", "

Notable observations and concise conclusions

\n", "\n", "- Sampling is uniform (consistent Δt), and each species shows a smooth, monotonic increase—no reversals or oscillations in the provided window.\n", "- N₂(v) dominates both in instantaneous concentration and absolute accumulation; H₂O(v) shows the most pronounced percentage increase, indicating proportionally stronger enrichment from its low initial level.\n", "- O₂(v) changes are minor in both absolute and relative terms, effectively near-constant compared with the other two species over this start-up interval." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 4964\n" ] } ], "source": [ "if cortix_ai:\n", " issues = '+ Title your reponse as: Overview of the Vapor Phase Data at Start-Up.'\n", " cortix_ai.explain(phase=stg.vapor_phase, issues=issues, markdown_header_level='

', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 6: Vapor phase mass density history at start-up.\n" ] } ], "source": [ "'''Vapor phase mass density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.mass_density_history('vapor')\n", "\n", "quant.plot(title='Vapor Phase Mass Density @ %2.1f C Start-Up'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Vapor phase mass density history at start-up.')" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 6: Vapor phase mass density history at start-up.\n", "Time [s] Vapor Phase Mass Density [g/L]\n", "0.000000 1.09\n", "17.201342 1.12\n", "34.402683 1.14\n", "51.604025 1.16\n", "Name: Vapor Phase Mass Density [g/L]; Time History in [s], dtype: float64\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Vapor phase mass density history at start-up.')\n", "print('Time [s] Vapor Phase Mass Density [g/L]')\n", "print(quant.value[::5].apply(lambda x: round(x,2)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Relative humidity" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 7: Stage relative humidity history at start-up.\n" ] } ], "source": [ "'''Compute relative humidity in the vapor phase'''\n", "import matplotlib.pyplot as plt\n", "from solvex import air_relative_humidity\n", "from copy import deepcopy\n", "\n", "h2o_vap_pd_series = deepcopy(stg.vapor_phase.df['H2O(v)'])\n", "for idx, rho_h2o in enumerate(h2o_vap_pd_series):\n", " h2o_vap_pd_series.iloc[idx] = air_relative_humidity(stg_temperature, rho_h2o)\n", "rh_pd_series = h2o_vap_pd_series\n", "time_unit = stg.vapor_phase.time_unit\n", "rh_pd_series.name = f'Relative Humidity History [{time_unit}]'\n", " \n", "quant = Quantity(name=rh_pd_series.name, latex_name='RH', unit='%', info=f'Relative Humidity History (Vapor Phase) [{time_unit}]')\n", "quant.value = h2o_vap_pd_series\n", "quant.plot(title='Stage Rel. Humidity @ %2.1f C Start-Up'%unit.convert_temperature(stg_temperature, 'K','C'),\n", " x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+' ['+quant.unit+']', show=True,\n", " figsize=[10,3])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Stage relative humidity history at start-up.')" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 7: Stage relative humidity history at start-up.\n", "Time [s] Rel. Humidity [%]\n", "0.000000 35.00\n", "17.201342 44.36\n", "34.402683 49.16\n", "51.604025 51.63\n", "Name: Relative Humidity History [s], dtype: float64\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Stage relative humidity history at start-up.')\n", "print('Time [s] Rel. Humidity [%]')\n", "print(quant.value[::5].apply(lambda x: round(x,2)))" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "
Overview of the Relative Humidity Data at Start-Up.
\n", "\n", "
Data summary
\n", "\n", "Measured quantity: Relative Humidity (vapor phase) in percent (%) sampled at eight times during start-up.\n", "\n", "- Key columns and coverage\n", " - Index: row identifier 0…7.\n", " - time [s]: uniformly sampled from 0.0000 s to 48.1638 s (step ≈ 6.88054 s).\n", " - Relative Humidity [%]: values from 35.0000% to 51.2567%.\n", "\n", "
Descriptive statistics
\n", "\n", "- Basic statistics\n", " - Count: 8 samples.\n", " - Minimum: 35.0000% at t = 0.0000 s.\n", " - Maximum: 51.2567% at t = 48.1638 s.\n", " - Mean (average): 45.1773%.\n", " - Median: 46.6009% (average of the 4th and 5th ordered values).\n", " - Standard deviation: ≈ 5.32% (population) or ≈ 5.69% (sample, N−1).\n", "\n", "
Temporal behaviour and rates
\n", "\n", "- Overall change and average rate\n", " - Total increase: 16.2567 percentage points over 48.1638 s.\n", " - Average rate (overall): ≈ 0.338 %/s.\n", "\n", "- Per-interval changes (time intervals ≈ 6.88054 s)\n", " - t = 0.0000 -> 6.8805 s: ΔRH = +4.5013% -> ≈ 0.655 %/s\n", " - t = 6.8805 -> 13.7611 s: ΔRH = +3.4477% -> ≈ 0.501 %/s\n", " - t = 13.7611 -> 20.6416 s: ΔRH = +2.6406% -> ≈ 0.384 %/s\n", " - t = 20.6416 -> 27.5221 s: ΔRH = +2.0226% -> ≈ 0.294 %/s\n", " - t = 27.5221 -> 34.4027 s: ΔRH = +1.5491% -> ≈ 0.225 %/s\n", " - t = 34.4027 -> 41.2832 s: ΔRH = +1.1866% -> ≈ 0.173 %/s\n", " - t = 41.2832 -> 48.1638 s: ΔRH = +0.9088% -> ≈ 0.132 %/s\n", "\n", "
Observations
\n", "\n", "- The relative humidity increases monotonically during the recorded start-up period.\n", "- The rate of increase declines with time (largest rise initially, then progressively smaller increments), indicating an approach toward a quasi‑steady RH near the recorded maximum (~51.3%) in this time window.\n", "- Time sampling is effectively uniform (Δt ≈ 6.88054 s), so the observed deceleration in ΔRH per interval reflects true slowdown of RH change rather than variable sampling." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 5087\n" ] } ], "source": [ "if cortix_ai:\n", " issues = '+ Title your reponse as: Overview of the Relative Humidity Data at Start-Up.'\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='
', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Overall Stage Efficiency" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ":::{important}Note:\n", "Stage efficiency measures how close to chemical equilibrium the system is as a whole. This is a direct result of the reaction relaxation time which is dependent on the mass transfer coefficients of the system. Much more needs to be investigated in this project with various degrees of theory but these results represent the beginning of a solid development.\n", ":::" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 8: Stage efficiency history at start-up.\n" ] } ], "source": [ "'''Stage overall efficiency'''\n", "\n", "quant = stg.efficiency_history(mean=True)\n", "quant.plot(title='Stage Efficiency @ %2.1f C Start-Up'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', show=True, figsize=[10,3], error_data=True)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Stage efficiency history at start-up.')" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 8: Stage efficiency history at start-up.\n", "Time [s] (Stage. Eff., +-std) [%]\n", " \n", " \n", "0.00 22.500 23.049\n", "0.06 26.079 20.002\n", "0.11 29.411 17.158\n", "0.17 32.443 14.575\n", "0.23 35.149 12.284\n", "0.29 37.528 10.291\n", "0.34 39.592 8.587\n", "0.40 41.363 7.153\n", "0.46 42.871 5.962\n", "0.52 44.146 4.984\n", "0.57 45.218 4.192\n", "0.63 46.116 3.557\n", "0.69 46.866 3.055\n", "0.75 47.491 2.663\n", "0.80 48.010 2.360\n", "0.86 48.441 2.131\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Stage efficiency history at start-up.')\n", "print('Time [s] (Stage. Eff., +-std) [%]')\n", "time_name = ''\n", "import pandas as pd\n", "df = (quant.value.apply(pd.Series).mul(1)\n", " .rename(index=lambda i: round(i/unit.min,2))\n", " .set_axis(['',''], axis=1).rename_axis(time_name)\n", " .round(3))\n", "print(df.to_string(max_rows=20, min_rows=20))" ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Overview of the Stage Efficiency Data at Start-Up

\n", "\n", "

Dataset summary

\n", "\n", "- The table reports a time history (time in s) of stage efficiency (dependent quantity in %) with two columns: column \"0\" = mean efficiency (%) and column \"1\" = associated standard deviation (± std, %).\n", "- Time points: 0.0000, 6.88054, 13.7611, 20.6416, 27.5221, 34.4027, 41.2832, 48.1638 s (8 samples).\n", "- Mean efficiency range: 22.5% → 48.0099% (min → max).\n", "- Standard-deviation range: 23.0489% → 2.36039% (initial → final).\n", "\n", "

Column-wise analysis

\n", "\n", "- Time [s]\n", " - Evenly spaced by ~6.88054 s increments; spans 0 → 48.1638 s.\n", "- Mean efficiency (column \"0\", %)\n", " - Values: 22.5, 29.411, 35.1492, 39.5916, 42.8713, 45.2185, 46.8661, 48.0099.\n", " - Monotonic increase at every sample (no decreases observed).\n", " - Net change: +25.5099 percentage points over 48.1638 s → average rate ≈ 0.53 % per s.\n", "- Standard deviation (column \"1\", %)\n", " - Values: 23.0489, 17.1583, 12.2838, 8.58727, 5.96182, 4.19209, 3.05491, 2.36039.\n", " - Monotonic decrease at every sample (uncertainty falls continuously).\n", " - Net change: −20.68851 percentage points over 48.1638 s → average rate ≈ −0.43 % per s.\n", "- Relative spread (std / mean, coefficient of variation)\n", " - t = 0 s: 102.4%\n", " - t = 6.88 s: 58.3%\n", " - t = 13.76 s: 35.0%\n", " - t = 20.64 s: 21.7%\n", " - t = 27.52 s: 13.9%\n", " - t = 34.40 s: 9.3%\n", " - t = 41.28 s: 6.5%\n", " - t = 48.16 s: 4.9%\n", " - Interpretation: relative uncertainty falls from >100% at start-up to <5% by ~48 s.\n", "\n", "

Key observations

\n", "\n", "- The mean stage efficiency increases steadily during the start-up interval, roughly doubling from 22.5% to 48.0%.\n", "- The standard deviation decreases steadily, indicating that estimates become more precise/stable as time progresses.\n", "- The sharpest fractional reduction in uncertainty occurs early (first two samples), with progressively smaller absolute reductions later.\n", "- By ~20–28 s the mean is ~40–43% and relative uncertainty has dropped to ~14–22%, with further stabilization thereafter.\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 4639\n" ] } ], "source": [ "if cortix_ai:\n", " issues = '+ Title your reponse as: Overview of the Stage Efficiency Data at Start-Up.'\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='

', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 9: Reaction efficiency history at start-up.\n" ] } ], "source": [ "'''Individual reaction efficiency'''\n", "\n", "quant = stg.efficiency_history()\n", "quant.plot(title='Reaction Efficiency @ %2.1f C Start-Up'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', legend=stg.rxn_mech.reactions, show=True, figsize=[10,3])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Reaction efficiency history at start-up.')" ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 9: Reaction efficiency history at start-up.\n", "Time [min] Rxn Eff. [%]\n", " r0 r1 r2 r3 r4 r5\n", " \n", "0.00 0.000 0.000 0.000 35.000 50.000 50.000\n", "0.06 6.372 6.506 6.644 37.401 49.910 49.642\n", "0.11 12.131 12.581 13.054 39.502 49.839 49.359\n", "0.17 17.270 18.111 19.012 41.340 49.783 49.140\n", "0.23 21.807 23.042 24.383 42.949 49.741 48.972\n", "0.29 25.779 27.366 29.107 44.358 49.710 48.847\n", "0.34 29.232 31.105 33.176 45.590 49.688 48.758\n", "0.40 32.218 34.303 36.618 46.669 49.674 48.698\n", "0.46 34.790 37.011 39.488 47.613 49.665 48.661\n", "0.52 36.997 39.288 41.849 48.439 49.661 48.644\n", "0.57 38.886 41.190 43.768 49.162 49.662 48.643\n", "0.63 40.501 42.772 45.312 49.795 49.665 48.654\n", "0.69 41.880 44.080 46.542 50.348 49.671 48.675\n", "0.75 43.055 45.160 47.512 50.833 49.678 48.704\n", "0.80 44.058 46.048 48.270 51.257 49.688 48.739\n", "0.86 44.912 46.776 48.855 51.628 49.698 48.779\n" ] } ], "source": [ "'''Individual reaction efficiency'''\n", "\n", "quant = stg.efficiency_history()\n", "\n", "tbl_count += 1\n", "print(f'Table {tbl_count}: Reaction efficiency history at start-up.')\n", "print('Time [min] Rxn Eff. [%]')\n", "\n", "col_names = [f'r{i}' for i in range(len(stg.rxn_mech.reactions))]\n", "time_name = ''\n", "df = (quant.value.apply(pd.Series).mul(1)\n", " .rename(index=lambda i: round(i/unit.min,2))\n", " .set_axis(col_names, axis=1).rename_axis(time_name)\n", " .round(3))\n", "print(df.to_string(max_rows=20, min_rows=20))" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Overview of Individual Reaction Efficiency at Start-Up.

\n", "\n", "Data shown: Rxns Efficiency [%] as a function of time (s). Time points: 0, 6.88054, 13.7611, 20.6416, 27.5221, 34.4027, 41.2832, 48.1638.\n", "\n", "- Column → reaction mapping\n", " - Column 0: [C₄H₉O]₃PO(o) + H₂O(a) <-> H₂O·[C₄H₉O]₃PO(o)\n", " - Column 1: 2 [C₄H₉O]₃PO(o) + 2 H₂O(a) <-> [H₂O]₂·[[C₄H₉O]₃PO]₂(o)\n", " - Column 2: 3 [C₄H₉O]₃PO(o) + 6 H₂O(a) <-> [H₂O]₆·[[C₄H₉O]₃PO]₃(o)\n", " - Column 3: H₂O(a) <-> H₂O(v)\n", " - Column 4: O₂(v) <-> O₂(a)\n", " - Column 5: N₂(v) <-> N₂(a)\n", "\n", "- Time-series summary (per reaction; values are efficiencies [%] at t = 0 → 48.1638 s)\n", " - Reaction 0 (column 0)\n", " - Values: 0 → 12.13 → 21.81 → 29.23 → 34.79 → 38.89 → 41.88 → 44.06\n", " - Behavior: monotonic increase from 0% to 44.06% over the interval; growth rate is initially large and slows toward the end.\n", " - Reaction 1 (column 1)\n", " - Values: 0 → 12.58 → 23.04 → 31.11 → 37.01 → 41.19 → 44.08 → 46.05\n", " - Behavior: monotonic increase to 46.05%; similar trend to Reaction 0 but reaches a higher efficiency by 48 s.\n", " - Reaction 2 (column 2)\n", " - Values: 0 → 13.05 → 24.38 → 33.18 → 39.49 → 43.77 → 46.54 → 48.27\n", " - Behavior: monotonic increase, attaining the highest efficiency among the three condensed-phase cluster formations (48.27% at final time).\n", " - Reaction 3 (column 3)\n", " - Values: 35.0003 → 39.50 → 42.95 → 45.59 → 47.61 → 49.16 → 50.35 → 51.26\n", " - Behavior: starts already high (35%), increases steadily and crosses the 50% mark between 34.4 s and 41.28 s, ending at 51.26%.\n", " - Reaction 4 (column 4)\n", " - Values: 50 → 49.84 → 49.74 → 49.69 → 49.67 → 49.66 → 49.67 → 49.69\n", " - Behavior: starts at 50% then dips slightly and stabilizes near 49.66–49.69%; essentially steady with minor fluctuations just below 50%.\n", " - Reaction 5 (column 5)\n", " - Values: 50 → 49.36 → 48.97 → 48.76 → 48.66 → 48.64 → 48.68 → 48.74\n", " - Behavior: begins at 50%, then declines to ~48.64% and shows a small recovery to 48.74% by the last time point; overall slightly decreasing then flattening.\n", "\n", "- Key comparative observations\n", " - The three cluster-formation reactions (columns 0, 1, 2) start at 0% and increase monotonically; column 2 rises fastest to ~48.3% by 48 s, followed by column 1 (~46.0%) and column 0 (~44.1%).\n", " - The gas–liquid exchange for H₂O (column 3) is the only reaction that exceeds 50% by the end of the record (finishes at 51.26%), having begun at a comparatively high 35%.\n", " - O₂ and N₂ exchange reactions (columns 4 and 5) remain near 50% at start-up and settle just below 50% (around 49.66 and 48.74%, respectively), showing very small variation compared with the other reactions.\n", " - Crossing of the 50% threshold is observed only for Reaction 3 within the observed time window; Reactions 4 and 5 are effectively steady near 50% but do not sustain >50% except at t = 0.\n", "\n", "- Final-state snapshot (t = 48.1638 s)\n", " - Reaction 0: 44.06%\n", " - Reaction 1: 46.05%\n", " - Reaction 2: 48.27%\n", " - Reaction 3: 51.26%\n", " - Reaction 4: 49.69%\n", " - Reaction 5: 48.74%\n", "\n", "Overall, the dataset shows rapid startup growth for the condensed-phase complexation reactions and a dominant H₂O vapor–liquid exchange that surpasses 50% efficiency within the 48 s window; O₂ and N₂ exchanges are essentially stable just below 50%." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 5689\n" ] } ], "source": [ "if cortix_ai:\n", " issues = '+ Title your reponse as: Overview of Individual Reaction Efficiency at Start-Up.'\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='

', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Total water extracted in equilibrium\n", "From reference: **1994** Naganawa and Tachimori Anal. Sci. 10 p 607\n", "\n", "[H2O]_o,E = 0.4265 M" ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total H2O extracted [M] = 0.2641\n", "Error (compared to measurement) [%] = -38.07\n" ] } ], "source": [ "h2o_e_molar = water_molar_cc_org_history[-1]/unit.molar\n", "\n", "print('Total H2O extracted [M] = %1.4f'%h2o_e_molar)\n", "print('Error (compared to measurement) [%%] = %1.2f'%((h2o_e_molar-0.4265)/0.4265*100))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Reaction Rate Density\n", "This quantity only makes sense per volume of the mixture." ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 10: Reaction rate density history at start-up.\n" ] } ], "source": [ "'''Reaction rate density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.r_vec_history() # mole/m^3-s\n", "\n", "quant.plot(title='Reaction Rate Density @ %2.1f C Start-Up'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', legend=stg.rxn_mech.reactions, show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Reaction rate density history at start-up.')" ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 10: Reaction rate density history at start-up.\n", "Time [min] r [mM/s]\n", " r0 r1 r2 r3 r4 r5\n", "t [min] \n", "0.00 1.0955 2.6403 0.4865 0.0019 0.0014 0.0024\n", "0.06 0.9820 2.2626 0.3985 0.0019 0.0014 0.0025\n", "0.11 0.8889 1.9681 0.3330 0.0018 0.0014 0.0025\n", "0.17 0.8122 1.7365 0.2836 0.0017 0.0014 0.0025\n", "0.23 0.7490 1.5533 0.2459 0.0017 0.0014 0.0025\n", "0.29 0.6966 1.4076 0.2169 0.0016 0.0014 0.0026\n", "0.34 0.6532 1.2912 0.1944 0.0016 0.0014 0.0026\n", "0.40 0.6171 1.1980 0.1770 0.0016 0.0014 0.0026\n", "0.46 0.5870 1.1231 0.1633 0.0016 0.0014 0.0026\n", "0.52 0.5620 1.0627 0.1527 0.0015 0.0014 0.0026\n", "0.57 0.5411 1.0141 0.1444 0.0015 0.0014 0.0026\n", "0.63 0.5235 0.9748 0.1378 0.0015 0.0014 0.0026\n", "0.69 0.5088 0.9430 0.1327 0.0015 0.0014 0.0026\n", "0.75 0.4965 0.9173 0.1287 0.0015 0.0014 0.0027\n", "0.80 0.4862 0.8964 0.1256 0.0014 0.0014 0.0027\n", "0.86 0.4774 0.8795 0.1232 0.0014 0.0014 0.0027\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Reaction rate density history at start-up.')\n", "print('Time [min] r [mM/s]')\n", "import pandas as pd\n", "col_names = [f'r{i}' for i in range(len(stg.rxn_mech.reactions))]\n", "time_name = 't [min]'\n", "df = (quant.value.apply(pd.Series).mul(1)\n", " .rename(index=lambda i: round(i/unit.min,2))\n", " .set_axis(col_names, axis=1).rename_axis(time_name)\n", " .round(4))\n", "print(df.to_string(max_rows=20, min_rows=20))" ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Overview of Reaction Rates Density at Start-Up

\n", "\n", "Time history of reaction-rate densities (unit: mM/s) sampled at t = 0, 6.8805, 13.7611, 20.6416, 27.5221, 34.4027, 41.2832, 48.1638 s. Columns 0–5 map to the ordered reactions (converted \"*\" -> \"·\" and digits subscripted) shown below; values are the table entries for each reaction at each time.\n", "\n", "- Quick summary\n", "\n", " - Columns 0–2 (the three [C₄H₉O]₃PO-based association reactions) have the largest rates (≈10⁻¹–10⁰ mM/s) and show clear monotonic decay toward smaller values over the 48 s window.\n", " - Columns 3–5 (gas–adsorbate exchanges H₂O, O₂, N₂) are ≈10⁻³ mM/s (three orders of magnitude smaller); column 3 decreases moderately, while columns 4 and 5 are nearly constant to slightly increasing.\n", " - Time spacing is nearly uniform (~6.8805 s between samples); the largest fractional changes occur earlier and decay slows toward the end of the record.\n", "\n", "- Per-reaction details (column index -> reaction; initial value at t=0 -> final at t≈48.16 s; % change; trend / remarks)\n", "\n", " - Column 0 -> [C₄H₉O]₃PO(o) + H₂O(a) <-> H₂O·[C₄H₉O]₃PO(o): 1.09551 -> 0.48616 (−55.6%); monotonic decrease, large absolute rate and substantial decay toward a lower steady value.\n", " - Column 1 -> 2 [C₄H₉O]₃PO(o) + 2 H₂O(a) <-> [H₂O]₂·[[C₄H₉O]₃PO]₂(o): 2.64031 -> 0.896419 (−66.0%); largest initial rate, strong decay, similar kinetics shape to column 0 but larger magnitude.\n", " - Column 2 -> 3 [C₄H₉O]₃PO(o) + 6 H₂O(a) <-> [H₂O]₆·[[C₄H₉O]₃PO]₃(o): 0.486462 -> 0.125621 (−74.2%); moderate initial rate, fastest fractional decay of the three association reactions.\n", " - Column 3 -> H₂O(a) <-> H₂O(v): 0.00192565 -> 0.00144403 (−25.0%); small magnitude, modest decrease indicating a reducing net transfer rate (toward weaker net exchange) over the interval.\n", " - Column 4 -> O₂(v) <-> O₂(a): 0.00139164 -> 0.00142364 (+2.3%); essentially steady with a slight increase (near measurement/variation scale compared with columns 0–2).\n", " - Column 5 -> N₂(v) <-> N₂(a): 0.00242574 -> 0.00265994 (+9.6%); small absolute rate, slight upward trend across the sampling window.\n", "\n", "- Magnitude grouping and implication\n", "\n", " - High-magnitude group: columns 0–2 (association/aggregation reactions involving [C₄H₉O]₃PO) dominate the reaction-rate density budget; their decrease implies the start-up transient is driving these processes toward lower net rates within ~50 s.\n", " - Low-magnitude group: columns 3–5 (phase/adsorption exchanges for H₂O, O₂, N₂) are minor contributors to total mM/s but show different behaviors: H₂O exchange weakens, while O₂ and N₂ exchanges are near-constant or slightly increase.\n", "\n", "- Temporal behavior (qualitative)\n", "\n", " - The three association reactions show a fast initial drop followed by slower decline (consistent with a relaxation toward a quasi-steady state over tens of seconds).\n", " - Gas–adsorbate exchanges are relatively stable; small variability may reflect small net driving-force changes or coupling to the larger association kinetics.\n", "\n", "- Numeric notes\n", "\n", " - Sampling times: [0.00000, 6.88054, 13.76110, 20.64160, 27.52210, 34.40270, 41.28320, 48.16380] s.\n", " - Absolute scales span ≈0.0014–2.64 mM/s; the largest single rate is 2.64031 mM/s (col. 1 at t=0).\n", "\n", "- Bottom-line\n", "\n", " - Start-up dynamics are dominated by rapid decay of the [C₄H₉O]₃PO-related association reactions (cols 0–2) over the first ≈50 s, while the gas–adsorbate exchange rates (cols 3–5) remain small and comparatively steady." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 5633\n" ] } ], "source": [ "if cortix_ai:\n", " issues = '+ Title your reponse as: Overview of Reaction Rates Density at Start-Up.'\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='

', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Species Generation Rate Density\n", "\n", "This quantity is on the basis of mixing volume so all species generation values can be compared." ] }, { "cell_type": "code", "execution_count": 70, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 11: Species generation rate density history at start-up.\n" ] } ], "source": [ "'''Species generation rate density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.g_vec_history() # mole/m^3-s\n", "\n", "quant.plot(title='Species Generation Rate Density @ %2.1f C Start-Up'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', legend=stg.rxn_mech.species_names, show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Species generation rate density history at start-up.')" ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 11: Species generation rate density history at start-up.\n", "Time [min] g [mM/s]\n", " a0 a1 a2 a3 a4 a5 a6 a7 a8 a9\n", "t [min] \n", "0.00 -9.2968 0.0019 1.0955 0.0024 -0.0024 0.0014 -0.0014 -7.8355 2.6403 0.4865\n", "0.06 -7.9002 0.0019 0.9820 0.0025 -0.0025 0.0014 -0.0014 -6.7028 2.2626 0.3985\n", "0.11 -6.8249 0.0018 0.8889 0.0025 -0.0025 0.0014 -0.0014 -5.8240 1.9681 0.3330\n", "0.17 -5.9884 0.0017 0.8122 0.0025 -0.0025 0.0014 -0.0014 -5.1359 1.7365 0.2836\n", "0.23 -5.3323 0.0017 0.7490 0.0025 -0.0025 0.0014 -0.0014 -4.5931 1.5533 0.2459\n", "0.29 -4.8145 0.0016 0.6966 0.0026 -0.0026 0.0014 -0.0014 -4.1623 1.4076 0.2169\n", "0.34 -4.4036 0.0016 0.6532 0.0026 -0.0026 0.0014 -0.0014 -3.8188 1.2912 0.1944\n", "0.40 -4.0763 0.0016 0.6171 0.0026 -0.0026 0.0014 -0.0014 -3.5439 1.1980 0.1770\n", "0.46 -3.8148 0.0016 0.5870 0.0026 -0.0026 0.0014 -0.0014 -3.3232 1.1231 0.1633\n", "0.52 -3.6052 0.0015 0.5620 0.0026 -0.0026 0.0014 -0.0014 -3.1456 1.0627 0.1527\n", "0.57 -3.4369 0.0015 0.5411 0.0026 -0.0026 0.0014 -0.0014 -3.0023 1.0141 0.1444\n", "0.63 -3.3016 0.0015 0.5235 0.0026 -0.0026 0.0014 -0.0014 -2.8866 0.9748 0.1378\n", "0.69 -3.1927 0.0015 0.5088 0.0026 -0.0026 0.0014 -0.0014 -2.7930 0.9430 0.1327\n", "0.75 -3.1049 0.0015 0.4965 0.0027 -0.0027 0.0014 -0.0014 -2.7173 0.9173 0.1287\n", "0.80 -3.0342 0.0014 0.4862 0.0027 -0.0027 0.0014 -0.0014 -2.6559 0.8964 0.1256\n", "0.86 -2.9771 0.0014 0.4774 0.0027 -0.0027 0.0014 -0.0014 -2.6061 0.8795 0.1232\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Species generation rate density history at start-up.')\n", "print('Time [min] g [mM/s]')\n", "import pandas as pd\n", "col_names = [f'a{i}' for i in range(len(stg.rxn_mech.species_names))]\n", "time_name = 't [min]'\n", "df = (quant.value.apply(pd.Series).mul(1)\n", " .rename(index=lambda i: round(i/unit.min,2))\n", " .set_axis(col_names, axis=1).rename_axis(time_name)\n", " .round(4))\n", "print(df.to_string(max_rows=20, min_rows=20))" ] }, { "cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 12: Produced species generation rate density history at start-up.\n" ] } ], "source": [ "'''Produced species generation rate density'''\n", "import matplotlib.pyplot as plt\n", "\n", "ids, quant_produced = stg.g_vec_history(produced=True) # mole/m^3-s\n", "\n", "quant_produced.plot(title='Produced Species Generation Rate Density @ %2.1f C Start-Up'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant_produced.unit+']', legend=list(np.array(stg.rxn_mech.species_names)[ids]), show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Produced species generation rate density history at start-up.')" ] }, { "cell_type": "code", "execution_count": 73, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "Overview of Species Generation Rates Density at Start-Up\n", "\n", "

Dataset summary

\n", "\n", "- Time span: 0 s to 48.1638 s in 8 sampling instants; dependent variable: species generation-rate density in mM/s.\n", "- Ten species (columns 0–9) in the given order: H₂O(a), H₂O(v), H₂O·[C₄H₉O]₃PO(o), N₂(a), N₂(v), O₂(a), O₂(v), [C₄H₉O]₃PO(o), [H₂O]₂·[[C₄H₉O]₃PO]₂(o), [H₂O]₆·[[C₄H₉O]₃PO]₃(o).\n", "- Values show a start-up transient: large-magnitude condensed-phase production/consumption at t = 0 that decays toward smaller magnitudes by t ≈ 48 s; small gaseous-phase pairs show near-equal opposite rates.\n", "\n", "

Per-species time trends (initial → final; Δ = final − initial)

\n", "\n", "- H₂O(a): −9.29682 → −3.03417; Δ = +6.26265 (strong net consumption at t=0 that weakens steadily).\n", "- H₂O(v): 0.00192565 → 0.00144403; Δ = −0.00048162 (small positive production, slowly decreasing).\n", "- H₂O·[C₄H₉O]₃PO(o): 1.09551 → 0.48616; Δ = −0.60935 (positive production that decays substantially).\n", "- N₂(a): 0.00242574 → 0.00265994; Δ = +0.00023420 (small positive production, slight increase).\n", "- N₂(v): −0.00242574 → −0.00265994; Δ = −0.00023420 (equal-and-opposite to N₂(a) throughout).\n", "- O₂(a): 0.00139164 → 0.00142364; Δ = +0.00003200 (very small positive production, nearly constant).\n", "- O₂(v): −0.00139164 → −0.00142364; Δ = −0.00003200 (equal-and-opposite to O₂(a) throughout).\n", "- [C₄H₉O]₃PO(o): −7.83551 → −2.65586; Δ = +5.17965 (large net consumption at start-up that relaxes toward smaller consumption).\n", "- [H₂O]₂·[[C₄H₉O]₃PO]₂(o): 2.64031 → 0.896419; Δ = −1.743891 (significant positive formation at t=0 that decays).\n", "- [H₂O]₆·[[C₄H₉O]₃PO]₃(o): 0.486462 → 0.125621; Δ = −0.360841 (moderate positive formation that decreases).\n", "\n", "

Key statistics and symmetry

\n", "\n", "- Largest initial consumption (most negative): H₂O(a) at −9.29682 mM/s; second: [C₄H₉O]₃PO(o) at −7.83551 mM/s.\n", "- Largest initial production (most positive): [H₂O]₂·[[C₄H₉O]₃PO]₂(o) at 2.64031 mM/s; next H₂O·[C₄H₉O]₃PO(o) at 1.09551 mM/s.\n", "- By t ≈ 48 s magnitudes of the large condensed-phase rates have decreased by roughly 50–70% (H₂O·[C₄H₉O]₃PO(o), [H₂O]₂·…, [C₄H₉O]₃PO(o)).\n", "- Exact opposites: N₂(a) and N₂(v) magnitudes are equal and signs opposite at every time point; same for O₂(a) and O₂(v). This indicates canceling exchange between those paired phases.\n", "\n", "

Observations and concise implications

\n", "\n", "- The dataset describes a start-up transient where condensed-phase species (H₂O(a), [C₄H₉O]₃PO(o)) experience large initial net consumption that relaxes over ~50 s while associated water-adduct species form and then decline.\n", "- Gaseous N₂ and O₂ appear in tightly coupled exchange pairs with zero net sum (phase transfer with equal opposite rates).\n", "- Small-amplitude changes in H₂O(v), N₂(a)/N₂(v), O₂(a)/O₂(v) indicate minor sustained gas-phase production/transfer compared with the dominant condensed-phase dynamics." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 6797\n" ] } ], "source": [ "if cortix_ai:\n", " issues = '+ Title your reponse as: Overview of Species Generation Rates Density at Start-Up.'\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='

', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Mass Balance Residual\n", "\n", "This is actually the total mass generation rate density (mixing volume) residual; a small number in view of total mass conservation." ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [ { "data": { "image/png": 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eeCEldHLaaadF5cqV0zY/ALknl/elOnXqpLRXrFhR4rEbvtuwYcO01ARAxSYDUTEJQgKUkXHjxqW0O3fuXOKxTZs2jZYtWybbq1evjgkTJqSlruLi4vjkk0+2ubZDDz00pf3xxx9HcXFxWmoDIHNydV/aHjNnzkxpN2jQIEuVALAt8m1v+sUvfhHLly+PiIhDDjkkLr744oyuB0DZy+W9acN/1OvatWva5gYgN+XyvtS+ffuU9vvvv1/isT++tjQi4qCDDkpHSQBUYDIQFZcgJEAZmThxYkp7r732KtX4Dd/fcL5tNXXq1OQ/3kVEFBYWbnQNwZa0aNEiatSokWwvW7Yspk+fnpbaAMicXN2Xtse7776b0t5jjz2yVAkA2yKf9qaHH3443nzzzYiIqFq1agwaNKjEJ7EAkD9yeW/aMGCy3377RUTE2rVrY8SIEXHaaafFnnvuGYWFhVG3bt1o3bp1nHLKKfG3v/0t5e8CAcgfubwv9erVKwoLC5Pt0aNHx7///e+tjps0aVI899xzyXZBQUGcccYZaasLgIpJBqLiEoQEKAMrVqyIadOmpfTtsssupZpjw/e/+OKL7a5rU/OUtq5NjUlXbQBkRi7vS9tq8eLF8eyzz6b0HXvssVmqBoDSyqe9afbs2XH11Vcn29dcc03svffeGVkLgOzJ5b1p0aJF8eWXXybblStXjhYtWsTkyZOjS5cuceyxx8Y//vGP+PLLL2P58uWxaNGimDRpUjzzzDNx7rnnRuvWreOxxx5LSy0AlI1c3pciIurWrRv/8z//k9J34oknbvFkyIkTJ8axxx4bq1evTvbdcsst0ahRo7TVBUDFJANRcVXJdgEAFcH8+fNTjkquWrVqqb+Q23nnnVPac+fOTUttG87TrFmzUs+x8847p2z86aoNgMzI5X1pW91yyy2xdOnSZLthw4bRq1evLFYEQGnk0950ySWXxMKFCyMionXr1vH73/8+I+sAkF25vDdNnjw5pbZatWrFhAkTonPnzrFo0aKtjp81a1b8/Oc/j/Hjx8dtt92WlpoAyKxc3pfWu/baa2P8+PHx5JNPRsS6byI75JBD4rjjjovu3btHixYtIpFIxMyZM+PNN9+M559/PtasWZMy/sorr0xrTQBUTDIQFZcgJEAZ+HEwIyKiRo0apb427cdXCmxqzm214TwbrlMSmaoNgMzI5X1pW4wZMybuuuuulL7f//73KdcWAJDb8mVvevrpp2Po0KHJ9sCBA6OgoCDt6wCQfbm8N60P5K+XSCSiV69eyRBkjRo14owzzojDDz88GjRoEAsWLIi33347nnzyyVixYkVy3O233x4777xz/OpXv0pLXQBkTi7vS+tVqlQpHn/88ejcuXP0798/5s2bF2vXro3hw4fH8OHDNzvu0EMPjf79+8fRRx+d1noAqLhkICouV2MDlIENN8Vt+Yey6tWrb3HObZXLtQGQGeXp9/65c+fGaaedFmvXrk32HXjggfHLX/4yK/UAsG3yYW9asGBBSlDknHPOia5du6Z1DQByRy7vTRsGIb///vuYMmVKRER07NgxJk6cGIMGDYqzzjorjj322DjrrLPi4YcfjgkTJkS7du1Sxl599dUp12wDkJtyeV/6sUQiEZdeeml8+OGHJbqt5dBDD40rr7zS11YApFW+7JuknyAkQBlYuXJlSrtatWqlnmOHHXZIaf/4u7e3Ry7XBkBmlJff+1etWhU//elPY/r06cm+WrVqxZNPPhmVK1cu83oA2Hb5sDddccUVyStwGjVqFAMGDEjr/ADkllzemzb3D3DNmjWL1157LZo3b77J5y1btow33ngjmjRpkuxbtWqVPQ0gD+TyvvRjy5Yti9/85jexxx57xEsvvbTV90ePHh0nnHBC7L333vGf//wn7fUAUDHly75J+glCApSBDb/DYPXq1aWeY9WqVVucc1vlcm0AZEZ5+L2/qKgozjzzzBgzZkyyr3LlyvHEE0/E7rvvXqa1ALD9cn1vGjFiRDz++OPJ9t133x3169dP2/wA5J5c3ps2N88f//jHqFev3hbHNmzYMG677baUvscee8w/6gHkuFzel9abNWtWHHDAAXH33Xcn95U999wzHnjggfj8889j6dKlsXz58vj6669j8ODB0bFjx+TYzz//PLp06RJDhw5Na00AVEz5sG+SGYKQAGWgZs2aKe0NvwOhJDb8y8gN59xWuVwbAJlRHn7vv+SSS+LZZ59NthOJRAwaNCh69+5dpnUAkB65vDctWbIkLrroomS7Z8+eccYZZ6RlbgByVy7vTZuap379+nHiiSeWaPypp54aderUSbZXrlwZY8eOTUttAGRGLu9LEevq6d69e3z++efJvvPPPz8++eSTuPjii2PPPfeMwsLCqF69euy6667Rr1+/eP/99+N3v/td8v0ffvghTj/99Jg4cWLa6gKgYsr1fZPMEYQEKAMbborLly+P4uLiUs2xbNmyLc65rTacZ8N1SiJTtQGQGbm8L5XEddddFwMHDkzpu/POO+Occ84psxoASK9c3puuvfbamDZtWkRE1KhRI/7yl7+kZV4Aclsu702bmueQQw6JqlWrlmh8QUFBHHTQQSl9//3vf9NSGwCZkcv7UkTE7bffHuPHj0+2jzrqqBg4cOAWryJNJBJxyy23xFlnnZXsW7lyZVx55ZVpqwuAikkGouIShAQoAw0bNoxEIpFsr1mzJubOnVuqOWbOnJnSbtSoUVpq23CeGTNmlHqOTNUGQGbk8r60NbfddttG17jdcMMN8etf/7pM1gcgM3J1b5oyZUpK8LF///7RsmXL7Z4XgNyXq3tTRETjxo036ttjjz1KNceee+6Z0i7t5wZA2crlfWnt2rVx3333pfTdcsstUalSyaIIt956a8q7L7/8ckyfPj0ttQFQMclAVFyCkABloHr16tG8efOUvvUnipTUhu+3adNmu+uK2PgvPbfli8sNx6SrNgAyI5f3pS25//7747rrrkvpu/zyy6N///4ZXxuAzMrVvWnRokUpp6xcffXVkUgktvqx4d706KOPpjyvW7fudtcGQGbl6t4UEbHbbrttdMJW7dq1SzXHhu9///33210XAJmTy/vSJ598EvPnz0+2GzZsGAcffHCJx++yyy6x3377JdvFxcUxatSotNQGQMUkA1FxCUIClJENN8YJEyaUavzEiRO3ON+2atGiRVSvXj3ZXrZsWUydOrXE46dOnRrLly9PtgsLC2OXXXZJS20AZE6u7kubM2TIkPjVr36V0nfuuefG3XffndF1ASg7+bY3AVD+5ereVLly5Y1OgFy1alWp5li5cmVKu0aNGttdFwCZlav70pQpU1LaLVu2TDm9siRatWqV0t7wFC4AKA0ZiIpLEBKgjLRv3z6lPWbMmBKPnT17dnzzzTfJdtWqVWOvvfZKS12JRCLatWu3zbWNHj06pd2uXbtSf4ELQNnL1X1pU5577rk499xzU07kOuWUU2LQoEH2HIByJJ/2JgAqhlzemzp06JDS/vbbb0s1fsPrVBs0aLDdNQGQWbm6L20Yxq9SpUqp56hatWpKe+3atdtVEwAVmwxExSUICVBGevXqldJ+/fXXUwIdW/Lqq6+mtLt27Ro1a9bMWG2vvfZaicdu+G7v3r3TUhMAmZXL+9KPjRgxIs4444yUv/w87rjj4vHHH49KlXw5A1Ce5OLetPvuu8drr71W6o+zzjorZZ7u3bunPB82bNh21wZA5uXi3rTe8ccfn9L+4IMPSjV+w/c3vDoOgNyTq/vShmH6WbNmlXqODU+A3HHHHberJgCQgaiYSv/tGABsk86dO0fDhg1j/vz5ERExefLkGDlyZHTt2nWrYx955JGUdp8+fdJa2/HHHx/XX399sv3MM8/En/70p61+EbxkyZJ45plnMlobAJmRy/vSem+//XaceOKJsXr16mRf165d49lnn93ou8QByH+5uDfVrFkzjjnmmFKPGzVqVEp7p5122qZ5AMiuXNyb1uvZs2cUFBQkr7j+5JNP4quvvorWrVtvdez48eM3uh71yCOPTGt9AKRfru5LLVu2TGlPmzYtvv7669htt91KNH7JkiXx/vvvp/SVdCwAbI4MRMXkCBWAMlKpUqU4++yzU/r69++/1e/We+ONN+Ldd99NtmvVqhWnnHJKWmtr165dHHjggcn20qVL44477tjquDvuuCOWLVuWbB988MGunwPIE7m8L0VE/Pe//43evXvHihUrkn0HH3xwDB8+PAoKCtK+HgDZl+t7EwAVTy7vTYWFhXHmmWem9N1yyy0lGnvzzTentI844oho1KhR2moDIDNydV/aY489olmzZil9AwYMKPH4u+66K+V67Ro1asTBBx+ctvoAqJhkIComQUiAMvTb3/425TsM3n777bj99ts3+/7MmTPj/PPPT+m7/PLLo2HDhltcJ5FIpHyMHDlyq7Vt+Begt912W7zzzjubfX9TtZf0L1sByA25ui+NHz8+evbsGUuWLEn2tW/fPkaMGJGxK7gByA25ujcBUHHl8t504403pnyj2JAhQ+Kvf/3rFsc88MAD8fTTT6f0XXfddVtdC4DckKv70obh/IEDB8aQIUO2OCYi4sUXX9zo35ZOO+202GGHHbY6FoCKRQaCkhCEBChDDRs2jP/5n/9J6bvuuuvikksuiVmzZiX7ioqKYujQodG5c+f45ptvkv1NmzaNK6+8MiO19ezZM7p3755sr1mzJnr06BH33ntvLF++PNm/bNmyuOeee6Jnz56xZs2aZP+xxx4bRx99dEZqAyAzcnFfmj17dnTv3j0WLFiQ7CssLIxrrrkm/vvf/8brr79eqg8A8ksu7k0AVGy5vDc1a9Ysfvvb36b0nX/++fHLX/4ypk+fntI/bdq0uPjii+OXv/xlSv/pp58ePXr0yEh9AKRfru5L11xzTdSvXz/ZLi4ujn79+sU555wT48eP3+j9SZMmxa9+9avo27dv/PDDD8n+GjV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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 13: Total mass generation rate density residual history at start-up.\n" ] } ], "source": [ "'''Mass balance residuals'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.mass_balance_residual_history()\n", "\n", "quant.plot(title='Total Mass Generation Rate Density @ %2.1f C Start-Up'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', markers_only=True, legend=['Residual'], show=True, figsize=[10,3])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Total mass generation rate density residual history at start-up.')" ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Total Mass Generation Rate Density Residual at Start-Up

\n", "\n", "

Data overview

\n", "\n", "- The table contains 8 samples of \"Total Mass Generation Rate Density [g/L-s]\" measured in the mixing volume, paired with time in seconds.\n", "- Time range: 0.00000 s to 48.1638 s, sampled at a constant interval of 6.88054 s (uniform spacing; 7 intervals of 6.88054 s).\n", "\n", "

Values (quick view)

\n", "\n", "- Reported density values (g/L-s): -1.36e-16, -4.29886e-17, -1.34644e-16, -4.80098e-17, -4.82605e-17, -1.75336e-16, -9.81881e-17, 7.31159e-18.\n", "- Signs: seven values are negative, one small positive value occurs at the final sample (7.31159e-18).\n", "\n", "

Statistical summary (units: g/L-s)

\n", "\n", "- Count: 8 samples.\n", "- Minimum: -1.75336e-16.\n", "- Maximum: 7.31159e-18.\n", "- Mean (average): -8.45e-17.\n", "- Standard deviation (population): 5.74e-17.\n", "- Root-mean-square (RMS): 1.02e-16.\n", "- Maximum absolute residual: 1.75336e-16.\n", "\n", "

Interpretation

\n", "\n", "- All values are on the order of 10⁻¹⁶–10⁻¹⁷ g/L-s, i.e., extremely small magnitudes relative to typical engineering scales; the mean and extremes indicate residuals close to numerical zero.\n", "- The time sampling is uniform; there is no sustained drift in the residuals over the recorded interval—values fluctuate around zero with typical dispersion given by the standard deviation above.\n", "- For mass-balance diagnostics, these numbers indicate mass-generation-rate residuals at start-up are effectively negligible within the shown precision." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 5546\n" ] } ], "source": [ "if cortix_ai:\n", " issues = '+ Title your reponse as: Total Mass Generation Rate Density Residual at Start-Up.'\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='

', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Steady-State Simulation\n", "\n", "Pick up from where it left from the past `run()` and continue to a longer time. This demonstrates how to continue a simulation from where it was interrupted. Note that the state of the system is automatically used as the initial condition for the next `run()`." ] }, { "cell_type": "code", "execution_count": 76, "metadata": {}, "outputs": [], "source": [ "end_time += 5 * stg.flow_residence_time_avg\n", "time_step = 5 * stg.flow_residence_time_avg / 15\n", "show_time = (True, 10*time_step)\n", "\n", "stg.time_step = time_step\n", "stg.initial_time = stg.end_time\n", "stg.end_time = end_time\n", "stg.show_time = show_time" ] }, { "cell_type": "code", "execution_count": 77, "metadata": { "tags": [ "scroll-output" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[31384] 2025-12-02 15:52:35,612 - cortix - INFO - Launching Module \n", "[910] 2025-12-02 15:52:36,803 - cortix - INFO - Stg-1::run():time[m]=0.9\n", "[910] 2025-12-02 15:52:37,055 - cortix - INFO - Stg-1::run():time[m]=3.7\n", "Total mass rate density (mixture volume) residual [g/L-s]= -2.84061e-17\n", "total mass inflow rate [g/min] = 6.711e+02\n", "total mass outflow rate [g/min] = 6.711e+02\n", "\t net total mass flow rate [g/min] = -1.359e-05\n", "[910] 2025-12-02 15:52:37,140 - cortix - INFO - Stg-1::run():time[m]=5.2 (et[s]=0.3)\n", "[31384] 2025-12-02 15:52:37,329 - cortix - INFO - run()::Elapsed wall clock time [s]: 744.99\n", "[31384] 2025-12-02 15:52:37,330 - cortix - INFO - Closed Cortix object.\n", "_____________________________________________________________________________\n", " T E R M I N A T I N G \n", "_____________________________________________________________________________\n", " ... s . (TAAG Fraktur)\n", " xH88\"`~ .x8X :8 @88>\n", " :8888 .f\"8888Hf u. .u . .88 %8P uL ..\n", ":8888> X8L ^\"\"` ...ue888b .d88B :@8c :888ooo . .@88b @88R\n", "X8888 X888h 888R Y888r =\"8888f8888r -*8888888 .@88u \"\"Y888k/\"*P\n", "88888 !88888. 888R I888> 4888>\"88\" 8888 888E` Y888L\n", "88888 %88888 888R I888> 4888> \" 8888 888E 8888\n", "88888 `> `8888> 888R I888> 4888> 8888 888E `888N\n", "`8888L % ?888 ! u8888cJ888 .d888L .+ .8888Lu= 888E .u./\"888&\n", " `8888 `-*\"\" / \"*888*P\" ^\"8888*\" ^%888* 888& d888\" Y888*\"\n", " \"888. :\" \"Y\" \"Y\" \"Y\" R888\" ` \"Y Y\"\n", " `\"\"***~\"` \"\"\n", " https://cortix.org \n", "_____________________________________________________________________________\n", "[31384] 2025-12-02 15:52:37,331 - cortix - INFO - close()::Elapsed wall clock time [s]: 745.0\n" ] } ], "source": [ "'''Run system in parallel'''\n", "stg.monitor_mass_flowrates = False\n", "stg.monitor_mass_conservation_residual = False\n", "system.run()\n", "system.close() # Shutdown Cortix" ] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, "outputs": [], "source": [ "'''Recover stage'''\n", "stg = system_net.modules[0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Organic Phase Results" ] }, { "cell_type": "code", "execution_count": 79, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 14: Organic phase species history dashboard at steady-state.\n" ] } ], "source": [ "'''Plot organic phase'''\n", "# TODO: time axis normalized by phase flow residence time.\n", "stg.organic_phase.plot(title='Organic Phase Steady-State', legend='Organic Phase', nrows=2,ncols=3, show=True, figsize=[12,6])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Organic phase species history dashboard at steady-state.')" ] }, { "cell_type": "code", "execution_count": 80, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Summary

\n", "\n", "- The dataset tracks four species over 0–310 s: H₂O·[C₄H₉O]₃PO(o), [C₄H₉O]₃PO(o), [H₂O]₂·[[C₄H₉O]₃PO]₂(o), and [H₂O]₆·[[C₄H₉O]₃PO]₃(o). \n", "- [C₄H₉O]₃PO(o) decreases from 291.750 g/L to 228.085 g/L; the three water‑associated species rise from 0 to steady, with most change occurring before ≈120 s and values approaching a plateau by ≈150 s–200 s.\n", "\n", "

Column-wise analysis

\n", "\n", "- [C₄H₉O]₃PO(o): initial 291.750 → final 228.085 g/L; absolute change −63.665 g/L (≈ −21.8%). Rapid decrease in the first ~50 s, then slowing and near‑steady by ~120 s.\n", "- H₂O·[C₄H₉O]₃PO(o): initial 0 → final 12.1757 g/L; monotonic increase, most of the rise occurs in the first ~70 s, then approaches a small steady value (~12.17 g/L).\n", "- [H₂O]₂·[[C₄H₉O]₃PO]₂(o): initial 0 → final 45.8827 g/L; largest absolute accumulation among the formed species, with rapid formation early and a clear plateau by ~120 s.\n", "- [H₂O]₆·[[C₄H₉O]₃PO]₃(o): initial 0 → final 10.5415 g/L; increases quickly at first and then levels off to ≈10.54 g/L.\n", "\n", "

Comparative observations

\n", "\n", "- Absolute gains: the dimer [H₂O]₂·[[C₄H₉O]₃PO]₂(o) shows the largest absolute increase (+45.883 g/L), followed by H₂O·[C₄H₉O]₃PO(o) (+12.176 g/L) and [H₂O]₆·[[C₄H₉O]₃PO]₃(o) (+10.542 g/L).\n", "- Largest absolute loss: the monomer [C₄H₉O]₃PO(o) (−63.665 g/L), consistent with its conversion into the three water‑associated species.\n", "- Relative retention: the monomer retains ≈78.2% of its initial concentration at the end (228.085/291.75).\n", "\n", "

Temporal dynamics

\n", "\n", "- Two phases are visible: a fast transient (≈0–50–120 s) with most concentration change, and a slow approach to steady state (≈120–310 s) with only minor further changes.\n", "- Example rates (approximate): between 0 and 31 s the monomer drops ≈54.20 g/L (≈1.75 g·L⁻¹·s⁻¹ average over that interval); after ~120 s the changes are <0.05 g/L over hundreds of seconds (negligible compared with the initial transient).\n", "\n", "

Total across listed species (simple sum) and mass‑balance note

\n", "\n", "- Sum of the four listed concentrations:\n", " - t = 0 s: 291.750 g/L\n", " - t = 3.44 s: 292.745 g/L\n", " - t = 309.624 s: 296.685 g/L\n", "- The total increases by ≈4.935 g/L (≈ +1.69%) from t = 0 to t = 309.6 s. The dataset therefore does not show strict conservation of the simple sum of these four columns (the summed quantity rises and then plateaus), which is evident from the numbers above.\n", "\n", "

Concise conclusions

\n", "\n", "- The system converts a significant fraction (~21.8%) of [C₄H₉O]₃PO(o) into water‑associated complexes, predominantly forming the dimeric complex [H₂O]₂·[[C₄H₉O]₃PO]₂(o). \n", "- Most conversion occurs within the first ~100–150 s, after which all four concentrations are effectively at steady values within the provided precision." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 6345\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Overview of the Organic Phase Data at Steady-State.\\n'\n", " '+ Do not explain the start-up process; cover the steady-state only.'\n", " )\n", " cortix_ai.explain(phase=stg.organic_phase, markdown_header_level='

', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 81, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 12: Molarity history of TBP in the organic phase at steady-state.\n", "Time [min] | Free TBP [M] | TBP Monomer [M] | TBP Dimer [M] | TBP Trimer Hexahydrate [M] | balance |\n", " 1.15e+00 0.860 4.097e-02 7.950e-02 1.182e-02 +4.44e-16\n", " 2.58e+00 0.856 4.277e-02 8.068e-02 1.164e-02 +2.22e-16\n", " 4.01e+00 0.856 4.282e-02 8.069e-02 1.162e-02 +4.44e-16\n" ] } ], "source": [ "'''Compute molar concentration of TBP species'''\n", "import numpy as np\n", "\n", "tbp_mass_cc_org_history = stg.organic_phase.get_column(tbp_org_name)\n", "tbp_molar_cc_org_history = np.array(tbp_mass_cc_org_history)/tbp_org.molar_mass\n", "\n", "tbp_monomer_mass_cc_org_history = stg.organic_phase.get_column(tbp_monomer_org_name)\n", "tbp_monomer_molar_cc_org_history = np.array(tbp_monomer_mass_cc_org_history)/tbp_monomer_org.molar_mass\n", "\n", "tbp_dimer_mass_cc_org_history = stg.organic_phase.get_column(tbp_dimer_org_name)\n", "tbp_dimer_molar_cc_org_history = np.array(tbp_dimer_mass_cc_org_history)/tbp_dimer_org.molar_mass\n", "\n", "tbp_trimer_hexahydrate_mass_cc_org_history = stg.organic_phase.get_column(tbp_trimer_hexahydrate_org_name)\n", "tbp_trimer_hexahydrate_molar_cc_org_history = np.array(tbp_trimer_hexahydrate_mass_cc_org_history)/tbp_trimer_hexahydrate_org.molar_mass\n", "\n", "time_stamps = np.array(stg.organic_phase.time_stamps)\n", "\n", "tbl_count += 1\n", "print(f'Table {tbl_count}: Molarity history of TBP in the organic phase at steady-state.')\n", "print('Time [min] | Free TBP [M] | TBP Monomer [M] | TBP Dimer [M] | TBP Trimer Hexahydrate [M] | balance |')\n", "np.set_printoptions(precision=3, suppress=True, linewidth=100)\n", "for t,a,b,c,d in zip(time_stamps[n_startup::5]/unit.min, \n", " tbp_molar_cc_org_history[n_startup::5]/unit.molar, \n", " tbp_monomer_molar_cc_org_history[n_startup::5]/unit.molar, \n", " tbp_dimer_molar_cc_org_history[n_startup::5]/unit.molar, \n", " tbp_trimer_hexahydrate_molar_cc_org_history[n_startup::5]/unit.molar):\n", " balance = a+b+2*c+3*d - tbp_mass_cc_org/tbp_org.molar_mass/unit.molar\n", " print(' %1.2e %1.3f %1.3e %1.3e %1.3e %+1.2e'%(t, a, b, c, d, balance))" ] }, { "cell_type": "code", "execution_count": 82, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 13: Volume fractions of free and total TBP in the organic phase at steady-state.\n", "Time [min] | Free TBP vol frac [%] | Total TBP vol frac [%] |\n", " 0.00e+00 30.000 30.000\n", " 2.87e-01 25.701 30.000\n", " 5.73e-01 24.244 30.000\n", " 8.60e-01 23.734 30.000\n", " 2.29e+00 23.455 30.000\n", " 3.73e+00 23.453 30.000\n", " 5.16e+00 23.453 30.000\n" ] } ], "source": [ "'''Volume fraction of TBP at start-up'''\n", "tbl_count += 1\n", "print(f'Table {tbl_count}: Volume fractions of free and total TBP in the organic phase at steady-state.')\n", "print('Time [min] | Free TBP vol frac [%] | Total TBP vol frac [%] |')\n", "np.set_printoptions(precision=3, suppress=True, linewidth=100)\n", "total_tbp_molar_cc_org_history = tbp_molar_cc_org_history + tbp_monomer_molar_cc_org_history + \\\n", " 2*tbp_dimer_molar_cc_org_history + 3*tbp_trimer_hexahydrate_molar_cc_org_history\n", "total_tbp_mass_cc_org_history = total_tbp_molar_cc_org_history * tbp_org.molar_mass\n", "for t,a,b in zip(time_stamps[::5]/unit.min, \n", " np.array(tbp_mass_cc_org_history[::5])/rho_tbp*100, total_tbp_mass_cc_org_history[::5]/rho_tbp*100):\n", " print(' %1.2e %1.3f %1.3f'%(t, a, b))" ] }, { "cell_type": "code", "execution_count": 83, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 14: Mass concentration and molarity history of water in the organic phase at steady-state.\n", "Time [s] | [M] | [g/L] |\n", "6.88e+01 2.709e-01 4.880e+00\n", "1.55e+02 2.739e-01 4.935e+00\n", "2.41e+02 2.739e-01 4.935e+00\n" ] } ], "source": [ "'''Total water extracted'''\n", "water_molar_cc_org_history = tbp_monomer_molar_cc_org_history \\\n", " + 2*tbp_dimer_molar_cc_org_history \\\n", " + 6*tbp_trimer_hexahydrate_molar_cc_org_history\n", "\n", "water_mass_cc_org_history = water_molar_cc_org_history * h2o_aqu.molar_mass\n", "\n", "tbl_count += 1\n", "print(f'Table {tbl_count}: Mass concentration and molarity history of water in the organic phase at steady-state.')\n", "print('Time [s] | [M] | [g/L] |')\n", "np.set_printoptions(precision=3, suppress=True, linewidth=100)\n", "for a,b,c in zip(time_stamps[n_startup::5], water_molar_cc_org_history[n_startup::5]/unit.molar, water_mass_cc_org_history[n_startup::5]):\n", " print('%1.2e %1.3e %1.3e'%(a, b, c))" ] }, { "cell_type": "code", "execution_count": 84, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 15: Organic phase mass density history at steady-state.\n" ] } ], "source": [ "'''Organic phase mass density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.mass_density_history('organic')\n", "\n", "quant.plot(title='Organic Phase Mass Density @ %2.1f C Steady-State'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+r'$-\\rho_\\text{diluent}$'\n", " ' ['+quant.unit+']', show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Organic phase mass density history at steady-state.')" ] }, { "cell_type": "code", "execution_count": 85, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 15: Organic phase mass density history at steady-state.\n", "Time [s] Organic Phase Mass Density [g/L]\n", "0.000000 291.75\n", "17.201342 295.06\n", "34.402683 296.14\n", "51.604025 296.51\n", "137.610734 296.69\n", "223.617442 296.68\n", "309.624151 296.68\n", "Name: Organic Phase Mass Density [g/L]; Time History in [s], dtype: float64\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Organic phase mass density history at steady-state.')\n", "print('Time [s] Organic Phase Mass Density [g/L]')\n", "print(quant.value[::5].apply(lambda x: round(x,2)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Aqueous Phase Results" ] }, { "cell_type": "code", "execution_count": 86, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 16: Aqueous phase species history dashboard at steady-state.\n" ] } ], "source": [ "'''Plot aqueous phase'''\n", "# TODO: time axis normalized by phase flow residence time.\n", "stg.aqueous_phase.plot(title='Aqueous Phase Steady-State', legend='Aqueous Phase', nrows=2,ncols=3, show=True, figsize=[12,6])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Aqueous phase species history dashboard at steady-state.')" ] }, { "cell_type": "code", "execution_count": 87, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Summary

\n", "\n", "The table reports concentrations (g/L) of H₂O(a), N₂(a), and O₂(a) measured from 0 to 309.624 s; H₂O decreases noticeably while the dissolved gases increase slightly.\n", "\n", "- Measurement span: 0 s → 309.624 s.\n", "- H₂O(a) falls from 992 g/L to 986.075 g/L (absolute change −5.925 g/L).\n", "- N₂(a) rises from 0.00815443 g/L to 0.00905861 g/L (absolute change +0.00090418 g/L).\n", "- O₂(a) rises from 0.0053437 g/L to 0.00548158 g/L (absolute change +0.00013788 g/L).\n", "\n", "

Numerical rates and relative changes

\n", "\n", "- H₂O(a): average rate ≈ −0.01914 g·L⁻¹·s⁻¹, relative change ≈ −0.597%.\n", "- N₂(a): average rate ≈ +2.92×10⁻⁶ g·L⁻¹·s⁻¹, relative change ≈ +11.1%.\n", "- O₂(a): average rate ≈ +4.45×10⁻⁷ g·L⁻¹·s⁻¹, relative change ≈ +2.58%.\n", "\n", "

Temporal behavior and steady state

\n", "\n", "- Early transient (0 → ~30 s): H₂O(a) falls faster in the first few seconds (e.g., −1.193 g/L in the first 3.44 s), then the rate slows.\n", "- Later times (>~100 s): all three concentrations effectively level off; H₂O(a) reaches ≈986.075 g/L and N₂(a), O₂(a) approach ≈0.00906 g/L and ≈0.00548 g/L respectively, showing a near steady state by ~100–140 s.\n", "\n", "

Comparative magnitudes

\n", "\n", "- H₂O(a) dominates by five orders of magnitude: H₂O/N₂ ≈ 1.09×10⁵ and H₂O/O₂ ≈ 1.80×10⁵ (using final values).\n", "- N₂(a)/O₂(a) ≈ 1.65 (final values), so N₂(a) is ≈65% higher than O₂(a) in mass concentration.\n", "- Absolute changes in gases are tiny compared with the water concentration; the largest fractional change is for N₂(a) (~11%) because its baseline is very small.\n", "\n", "

Notes on precision

\n", "\n", "- Many later rows show values repeating to the displayed precision (e.g., H₂O ≈ 986.075), indicating approach to numerical/experimental steady values or measurement rounding at the reported significant figures." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 5633\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Overview of the Aqueous Phase Data at Steady-State.\\n'\n", " '+ Do not explain the start-up process; cover the steady-state only.'\n", " )\n", " cortix_ai.explain(phase=stg.aqueous_phase, markdown_header_level='

', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 88, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 17: Aqueous phase mass density history at Steady-State.\n" ] } ], "source": [ "'''Aqueous phase mass density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.mass_density_history('aqueous')\n", "\n", "quant.plot(title='Aqueous Phase Mass Density @ %2.1f C Steady-State'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Aqueous phase mass density history at Steady-State.')" ] }, { "cell_type": "code", "execution_count": 89, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 16: Aqueous phase mass density history at steady-state.\n", "Time [s] Aqueous Phase Mass Density [g/L]\n", "0.000000 992.01\n", "17.201342 988.04\n", "34.402683 986.74\n", "51.604025 986.30\n", "137.610734 986.09\n", "223.617442 986.09\n", "309.624151 986.09\n", "Name: Aqueous Phase Mass Density [g/L]; Time History in [s], dtype: float64\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Aqueous phase mass density history at steady-state.')\n", "print('Time [s] Aqueous Phase Mass Density [g/L]')\n", "print(quant.value[::5].apply(lambda x: round(x,2)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Vapor Phase Results" ] }, { "cell_type": "code", "execution_count": 90, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 18: Vapor phase species history dashboard at steady-state.\n" ] } ], "source": [ "'''Plot vapor phase'''\n", "# TODO: time axis normalized by phase flow residence time.\n", "stg.vapor_phase.plot(title='Vapor Phase Steady-State', legend='Vapor Phase', nrows=2,ncols=3, show=True, figsize=[12,6])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Vapor phase species history dashboard at steady-state.')" ] }, { "cell_type": "code", "execution_count": 91, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "Overview of the Vapor Phase Data at Steady-State.\n", "\n", "

Steady-state window

\n", "\n", "- Time window analyzed: from 120.409 s to 309.624 s (12 data points).\n", "- Focus: concentrations in the vapor phase for H₂O(v), N₂(v), and O₂(v) within that window.\n", "\n", "

Numerical summary (steady-state)

\n", "\n", "- H₂O(v)\n", " - Mean concentration: 0.0276814 g/L\n", " - Minimum: 0.0276049 g/L; Maximum: 0.0276972 g/L\n", " - Absolute range: 9.23 × 10⁻⁵ g/L\n", " - Change from first to last steady point: +0.0000923 g/L (+0.33%)\n", "- N₂(v)\n", " - Mean concentration: 0.9062283 g/L\n", " - Minimum: 0.900343 g/L; Maximum: 0.908398 g/L\n", " - Absolute range: 0.008055 g/L\n", " - Change from first to last steady point: +0.008055 g/L (+0.89%)\n", "- O₂(v)\n", " - Mean concentration: 0.2577753 g/L\n", " - Minimum: 0.257380 g/L; Maximum: 0.257921 g/L\n", " - Absolute range: 0.000541 g/L\n", " - Change from first to last steady point: +0.000541 g/L (+0.21%)\n", "\n", "

Comparative observations

\n", "\n", "- Abundance ranking (by mean concentration): N₂(v) >> O₂(v) >> H₂O(v).\n", " - Mean ratios: N₂/O₂ ≈ 3.52; N₂/H₂O ≈ 32.7; O₂/H₂O ≈ 9.31.\n", "- Stability (relative change over steady window):\n", " - O₂(v) and H₂O(v) show very small relative changes (≈0.21% and ≈0.33%, respectively).\n", " - N₂(v) shows the largest relative drift within the steady window (≈0.89%), though absolute concentration remains ~0.9 g/L.\n", "- Absolute variability:\n", " - N₂(v) has the largest absolute range (8.06 × 10⁻³ g/L), driven by its larger base concentration.\n", " - H₂O(v) and O₂(v) vary only by 10⁻⁴–10⁻³ g/L in absolute terms.\n", "\n", "

Conclusions

\n", "\n", "- Over the selected steady-state window (120.4–309.6 s) the vapor-phase concentrations are effectively constant to within sub-percent changes.\n", "- N₂(v) dominates by mass and shows the largest absolute and relative drift in this interval; O₂(v) and H₂O(v) are comparatively stable with sub‑0.4% changes." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 6897\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Overview of the Vapor Phase Data at Steady-State.\\n'\n", " '+ Do not explain the start-up process; cover the steady-state only.'\n", " )\n", " cortix_ai.explain(phase=stg.vapor_phase, issues=issues, markdown_header_level='

', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 92, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 19: Vapor phase mass density history at steady-state.\n" ] } ], "source": [ "'''Vapor phase mass density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.mass_density_history('vapor')\n", "\n", "quant.plot(title='Vapor Phase Mass Density @ %2.1f C Steady-State'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Vapor phase mass density history at steady-state.')" ] }, { "cell_type": "code", "execution_count": 93, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 17: Vapor phase mass density history at steady-state.\n", "Time [s] Vapor Phase Mass Density [g/L]\n", "0.000000 1.09\n", "17.201342 1.12\n", "34.402683 1.14\n", "51.604025 1.16\n", "137.610734 1.19\n", "223.617442 1.19\n", "309.624151 1.19\n", "Name: Vapor Phase Mass Density [g/L]; Time History in [s], dtype: float64\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Vapor phase mass density history at steady-state.')\n", "print('Time [s] Vapor Phase Mass Density [g/L]')\n", "print(quant.value[::5].apply(lambda x: round(x,2)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Relative Humidity" ] }, { "cell_type": "code", "execution_count": 94, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 20: Stage relative humidity history at steady-state.\n" ] } ], "source": [ "'''Compute relative humidity in the vapor phase'''\n", "import matplotlib.pyplot as plt\n", "from solvex import air_relative_humidity\n", "from copy import deepcopy\n", "\n", "h2o_vap_pd_series = deepcopy(stg.vapor_phase.df['H2O(v)'])\n", "for idx, rho_h2o in enumerate(h2o_vap_pd_series):\n", " h2o_vap_pd_series.iloc[idx] = air_relative_humidity(stg_temperature, rho_h2o)\n", "rh_pd_series = h2o_vap_pd_series\n", "time_unit = stg.vapor_phase.time_unit\n", "rh_pd_series.name = f'Relative Humidity History [{time_unit}]'\n", " \n", "quant = Quantity(name=rh_pd_series.name, latex_name='RH', unit='%', info=f'Relative Humidity History (Vapor Phase) [{time_unit}]')\n", "quant.value = h2o_vap_pd_series\n", "quant.plot(title='Stage Rel. Humidity @ %2.1f C Steady-State'%unit.convert_temperature(stg_temperature, 'K','C'),\n", " x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+' ['+quant.unit+']', show=True, \n", " figsize=[10,3])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Stage relative humidity history at steady-state.')" ] }, { "cell_type": "code", "execution_count": 95, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 18: Stage relative humidity history at steady-state.\n", "Time [s] Rel. Humidity [%]\n", "17.201342 44.36\n", "34.402683 49.16\n", "51.604025 51.63\n", "137.610734 54.14\n", "223.617442 54.23\n", "309.624151 54.23\n", "Name: Relative Humidity History [s], dtype: float64\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Stage relative humidity history at steady-state.')\n", "print('Time [s] Rel. Humidity [%]')\n", "print(quant.value.loc[n_startup::5].apply(lambda x: round(x,2)))" ] }, { "cell_type": "code", "execution_count": 96, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "
Overview of the Relative Humidity Data at Steady-State.
\n", "\n", "Steady-state is taken from the portion of the table where RH values are effectively constant (the last four rows).\n", "\n", "
Steady-state time window
\n", "\n", "- Indices used: 7–10 (time = 154.812 s, 206.416 s, 258.02 s, 309.624 s).\n", "- Measured quantity: Relative Humidity (third column) expressed in % and sampled at the times given in seconds.\n", "\n", "
Statistical summary (indices 7–10)
\n", "\n", "- Sample size: n = 4.\n", "- Mean RH: 54.217% (arithmetic mean of 54.1827, 54.2239, 54.2295, 54.2303).\n", "- Minimum RH: 54.1827%.\n", "- Maximum RH: 54.2303%.\n", "- Absolute range: 0.0476 percentage points.\n", "- Population standard deviation: ≈ 0.0197% (sample standard deviation ≈ 0.0228%).\n", "- Coefficient of variation: ≈ 0.036% (std/mean × 100).\n", "\n", "
Sampling and short-term trend within steady-state
\n", "\n", "- Sampling interval between steady-state points: constant 51.604 s (exact spacing between consecutive times).\n", "- Linear change over the window (154.812 s -> 309.624 s): RH increases by 0.0476 percentage points, giving a slope ≈ 0.0003076 %/s (≈ 0.0308% per 100 s).\n", "- Fluctuation magnitude in this window is very small (≤ 0.05 percentage points), indicating tight clustering around the mean.\n", "\n", "
Concise interpretation
\n", "\n", "- The RH has reached a stable level near 54.22% with very small absolute fluctuations (range 0.0476% and population std ≈ 0.02%), sampled at regular 51.604 s intervals. The residual drift over the analyzed window is ≈ 0.00031 %/s, so values can be treated as steady within typical measurement precision." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 4613\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Overview of the Relative Humidity Data at Steady-State.\\n'\n", " '+ Do not explain the start-up process; cover the steady-state only.'\n", " )\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='
', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Overall Stage Efficiency" ] }, { "cell_type": "code", "execution_count": 97, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 21: Stage efficiency history steady-state.\n" ] } ], "source": [ "'''Stage overall efficiency'''\n", "\n", "quant = stg.efficiency_history(mean=True)\n", "quant.plot(title='Stage Efficiency @ %2.1f C Steady-State'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', show=True, figsize=[10,3], error_data=True)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Stage efficiency history steady-state.')" ] }, { "cell_type": "code", "execution_count": 98, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 19: Stage efficiency history at steady-state.\n", "Time [s] (Stage. Eff., +-std) [%]\n", " \n", " \n", "0.00 22.500 23.049\n", "0.06 26.079 20.002\n", "0.11 29.411 17.158\n", "0.17 32.443 14.575\n", "0.23 35.149 12.284\n", "0.29 37.528 10.291\n", "0.34 39.592 8.587\n", "0.40 41.363 7.153\n", "0.46 42.871 5.962\n", "0.52 44.146 4.984\n", "... ... ...\n", "2.58 50.649 1.583\n", "2.87 50.667 1.584\n", "3.15 50.679 1.584\n", "3.44 50.687 1.582\n", "3.73 50.692 1.581\n", "4.01 50.696 1.580\n", "4.30 50.699 1.579\n", "4.59 50.700 1.579\n", "4.87 50.702 1.578\n", "5.16 50.703 1.578\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Stage efficiency history at steady-state.')\n", "print('Time [s] (Stage. Eff., +-std) [%]')\n", "time_name = ''\n", "import pandas as pd\n", "df = (quant.value.apply(pd.Series).mul(1)\n", " .rename(index=lambda i: round(i/unit.min,2))\n", " .set_axis(['',''], axis=1).rename_axis(time_name)\n", " .round(3))\n", "print(df.to_string(max_rows=20, min_rows=20))" ] }, { "cell_type": "code", "execution_count": 99, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Overview of the Stage Efficiency Data at Steady-State.

\n", "\n", "- Steady-state interval selected: t ≥ 103.208 s (rows 6–10 in the table).\n", "\n", "- Time column (steady-state window):\n", " - Range: 103.208 s to 309.624 s.\n", " - Sampling: nonuniform times; final four samples are ≈51.604 s apart.\n", "\n", "- Mean efficiency (column “0”) in steady state:\n", " - Values: 50.4626, 50.6486, 50.6866, 50.6986, 50.7027 [%].\n", " - Average (mean over steady-state samples): ≈ 50.64 [%].\n", " - Temporal spread: min = 50.4626 [%], max = 50.7027 [%], range = 0.2401 percentage points.\n", " - Temporal variability (standard deviation of these five values): ≈ 0.10 percentage points (≈0.2% relative to the mean).\n", "\n", "- Reported uncertainty (column “1”, the ±std values) in steady state:\n", " - Values: 1.55553, 1.58311, 1.58244, 1.57935, 1.57778 [%].\n", " - Mean reported std: ≈ 1.576 [%].\n", " - Variation of reported std across the window: min = 1.55553 [%], max = 1.58311 [%], range ≈ 0.0276 percentage points; std ≈ 0.01 percentage points.\n", "\n", "- Interpretation (steady-state only):\n", " - The stage operates at an average efficiency of ≈ 50.64% with a per-sample uncertainty of about ±1.576 percentage points.\n", " - The temporal drift/fluctuation of the mean efficiency within the chosen steady-state window (≈0.10 ppt) is small compared with the reported per-sample standard deviation (≈1.576 ppt), i.e., temporal changes are negligible relative to measurement/spread." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 5353\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Overview of the Stage Efficiency Data at Steady-State.\\n'\n", " '+ Do not explain the start-up process; cover the steady-state only.'\n", " )\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='

', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 100, "metadata": {}, "outputs": [ { "data": { "image/png": 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0mzZtdPfdd+uWW26JxxQBAAAA7CcI3QEAAAA4oKSkpOj222+3lS9cuLDBV0ABEH+lpaWW41g+HA3uI9Z+AFS59dZbdcstt1i2hU1LS9Ndd92lNWvW6NZbb1X79u1j6rtFixb661//qnXr1unuu++2rKCVm5ur0aNHx2271ni64oorlJ+f7z+eNGmSevbsGbf+n3vuOVvZzTffHPHqZEcffbROOukkS9maNWv0zTffxGV+4ezevVvvvfeepSwxMVH3339/xH3cf//9SkhIsJS9+OKLDRIa3LVrl2688UZb+RFHHKEPP/xQKSkpdR6jbdu2+vLLL/V///d/de7LSUlJiW378ZSUFFuYETgQffnll7ayq6++Wm63uxFmAwAAAGB/llB7FQAAAADYv5xwwgm2Mq/Xq5UrV2rEiBEx9+vxeLR48WJt3LhRO3fu1O7du5WZmalWrVqpZ8+eOuyww+Ie3Nm6datWrlypDRs2aM+ePSopKVFmZqaysrLUqVMnDRkyJC4f7oazc+dOLVq0SDt37lRubq727t2rjIwMtWzZUr1791bfvn2VlpZWr3NoSOXl5Zo/f762bNmiHTt2qLi4WC1atFDr1q118MEHxzU0Ec7mzZu1YMECbdy4UXv37lVWVpbatGmjI4880rbiEw4ce/fu1YIFC7Rt2zbl5uZqz549Sk1NVbNmzdSzZ0/169dPLVq0aNQ5mqapX375RWvXrtXOnTuVl5en9PR0tWrVSl26dNGQIUNsYZh483q9Wrx4sX755Rft2LFDhmGoZcuW6tatm4444gjblqTxsmfPHi1YsEA5OTnKy8tTYWGh0tPTlZWVpV69eqlfv34hV3A7UD366KN69NFHLWUDBgzQu+++qz59+sRtnLS0NN13330644wzNH78eK1bt06SVFRUpNNOO01z585V165d4zZeXbz66qv64osv/MdDhw51DGnFqri4WJ999pmlLCUlRRdffHFU/Vx11VWaOnWqpeydd97R8ccfX9cphjVlyhSVl5dbys4444yofre1bdtWp59+uj766CN/2datW/X9999r1KhR8Zqqo4cfftgSqJSkJk2a6I033ohraMflctVb6C47O9u20mCvXr2UkZFRL+PtC3JycrR48WLt3LlTO3bskNfrVatWrdSmTRsNHz484sBqpEpKSvTbb79p5cqVys3NVUFBgRISEtS8eXO1bNlSAwcOVJcuXeI6ZqC1a9fqp59+0tatW1VQUKDMzEx1795dw4YNa/T3EY1t48aNtrJBgwY1wkzq144dO7Ry5UqtXbtW+fn5Ki4uVkZGhrKystS+fXsNHTpUTZo0aexpRmXVqlVatWqVduzYodzcXCUnJ6tVq1bq2LGjhg0bVu9/FwMAAAA2JgAAAADsI9avX29KstxGjhwZU1+ZmZm2vj799NOY+vrmm2/M8ePHm82aNbP1GXhr0aKFedFFF5krVqyIaRzTNM2dO3eaL774onn22Webbdq0CTueJDMpKck85phjzPfff9/0eDwxjxts27Zt5u23327279/fNAyj1jmMHj3afOKJJ8y8vDxbX6+99lqt11HbLdTzYPr06ba606dPj+mav/nmG/O0004zmzRpEnYu3bp1M//yl7+Y27Zti2mczp07W/qbMGGC5fyUKVPM4cOHhxzfMAxz6NCh5hdffBHT+HUVPJ/OnTvX21hOrwnR3tavX2/ec889cX/+xfO5V1JSYj799NPmMcccYyYlJYWdi2EY5oABA8zbb7/d/O2332rte+TIkXF5TTVN01ywYIF54YUX1vralJGRYY4bN86cN29e1GPU9rju2bPHvPvuu8POIT093bz44ovNTZs2xXytgfLz880HH3zQHDp0qOl2u8Neu9vtNocPH24+8MAD5pYtW2x9eTwes0uXLpY2Xbt2Nb1eb53m+MQTT9jm8vHHH9epz0h8/vnntt8RZ511lllSUlKv4+bk5JhDhgyxjDtw4ECzoqKiXseNxObNm82mTZtafkcuW7bMf97pd+I999wT1RhTp0619XHiiSdGPdeKigrb77y2bdvW+flYm/Hjx9vm/95770XdzzvvvGPr55ZbbqmHGdcoLi62fH99t0mTJtXruPE2Z84c2zWMGDGi3set6+9jyf6+KZxdu3aZ9957r3nYYYeFfT/rcrnMwYMHm88//7xZXl4e07V5vV7zhx9+MG+55RZz6NChZkJCQq3X0qFDB/OGG24wN27cGNOYTnN4+eWXzcMPPzzs76njjz/e/P777y1tI31d+vbbb+v8GuZkwIABlj5bt25tlpWV1blfJ7169bJdw6pVq+plLJ94vKeVwn+cV1BQYL755pvmRRddZHbq1KnWvtxutzl48GDzpZdeiuqxDn5vGcvttddei3i8VatWmRMnTrT9DRV8S0lJMY8//njzq6++irhvAAAAoK4I3QEAAADYZ8QzdNeuXTtbX2+++WZUffz888/mmDFjov4Qwe12m1dddZVZWloa1XjnnXdeRB/Qhbr17dvX8sF+LIqLi80bb7zRTE1NjWkOycnJ5tatWy197uuhu7Vr15rHHXdc1HNKT083J02aFHXYMVToLj8/3zz11FOjmsOECRMaPGQSPAdCd7E/90zTNJ977jnzoIMOimlehmGYH374Ydj+4xG627Bhgzlu3LiY5jhu3Dhz9+7dEY8V7nH9/vvvzfbt20c8dmpqqvnJJ59Efb0+lZWV5gMPPFBr4DrUze12OwYPH374YVvdL7/8MuZ5mqZp9u7d29Jfhw4dzMrKyjr1WZutW7eaLVu2tIx70UUX1fu4Prt27TIPOeQQy/gPPvhgg4wdzvHHH2+ZU3AYKx6hu1tvvdXWR6zXfuyxx9r6qu/wiVNoNvi9QyS2bNli66e+g2NvvPGGbczExMSYg/iNZfHixbbraNeuXb2P21Chu8rKSvOhhx6K6fW7a9eu5owZM6K6rhkzZpgdO3aM+ZoSEhLMu+66q07/gGbdunXmUUcdFdW4119/vf81O5rXpb59+1rqtm/fvk6v/U4h0Ntvvz3m/mrTv39/23hff/11vY1nmvUfurv55pvNlJSUmPvt0KGDLYgZSkOF7nJzc83LLrus1n/w4HQbOXKkuXnz5ki/PQAAAEDMXAIAAACAA1Dwtl+Sotoy67PPPtOIESP03XffRT22x+PRCy+8oFGjRmnHjh0Rt5szZ45tq69orFixQsOHD9e0adNiar9p0yYdeeSReuKJJ1RSUhJTH2VlZbYt4/ZlixYt0hFHHKGvv/466rbFxcW6++67dc4556isrKxO88jLy9NRRx1l2y6wNq+//nrU2wli31BaWqoLLrhAV199tbZt2xZTH6ZpqrCwMM4zs5o7d66GDh2qKVOmxNR+ypQpGj58uNasWVOneUydOlXHHnustm7dGnGbkpIS/fGPf9T//ve/qMfbtWuXTjjhBN11112Ov08i4fF4tHfvXlv55Zdfbtv+7LnnnotpDEn67rvvtGrVKkvZlVdeGddtLp3ceOONys3N9R+PGTNGr7zySr2P69O8eXN9+eWXat68ub9s0qRJdX6u1cVLL72kr776yn88YMAA3XbbbXEfZ9GiRbayESNGxNTXEUccEVH/8bJ161bl5ORYyjp16qR27dpF3Vf79u3VqVMnS9lPP/0kj8dTpzmG8+mnn9rKTj/9dLVt27bexqwPTvPNzs7W7NmzG2E28VVYWKjTTjtNt99+e0yv3+vXr9cf/vAHvfrqq1G12bx5c9Rj+VRWVuqBBx7Q6aefHtPfAuvWrdMxxxyjH374Iap2Tz/9tC688EKZphlVu2uvvdZyvHXrVsefjUgF/w50uVy68sorY+6vNk7P//fff7/exmsI8+fPV2lpacztt2zZorFjx+qNN96I46xi99tvv2n48OF65ZVXYnpNnzlzpoYMGaIFCxbUw+wAAACAGgmNPQEAAAAAiLe1a9c6Bh26d+8eUfu3335bF154obxer6U8KSlJY8aM0bBhw9SxY0c1bdpURUVF2rBhg7799lvbB11z587VuHHjNH36dCUmJkZ1DW63W4cffrgOPvhg9enTRy1atFBmZqZM01RBQYFWr16tuXPnavbs2ZZ5FhUV6dxzz9WSJUvUsWPHiMfbtGmThg4davsgXJJSU1N19NFH65hjjlGbNm3UtGlTFRYWavv27VqyZInmzJmj7OzskH1nZWVpwIABkqTy8nKtWLHCcr5jx47KysoKO78ePXpEfC2RWrFihUaNGqWioiLbuZ49e+rMM89Ujx49lJmZqe3bt2v+/Pn69NNPbfU//PBDlZaWRh2Y86msrNQZZ5yhZcuW+csOO+wwHX/88erWrZuaNWumXbt2ad68eZoyZYr27Nljaf/WW2/pjDPO0Pjx42Maf1+WlJTkf+74LF++XBUVFf7j5s2b20IXwX20bdvW0k9RUZHWrl1rqde9e3c1adLEsY94P/8qKip0/PHH6/vvv7edc7lcGjRokMaOHatOnTqpRYsWKi0tVV5enn755RfNmzdPy5cvj+t8QpkxY4ZOPPFE24e4LpdLRx99tI444gh17dpVzZo1U0lJibZs2aKZM2fq22+/tXxAumrVKp100klauHChMjMzo57H0qVLdfvtt/sDvampqRo7dqyOOeYYtW3bVgkJCdq8ebO+/vprffvtt5a2lZWVuvzyy/Xrr7+qadOmEY23Z88eHXnkkVq5cqXtXGJiokaMGKFRo0apffv2at68uYqLi7Vz504tXbpUc+fO1bp168L236JFC5177rmaPHmyv+zzzz/X5s2bo3rd9gkOKyQkJOjyyy+Pup9ozJw50xJQaN++vd5//30lJIT/T40ej0dTpkzRRx99pEWLFmnbtm1yu91q3769+vbtq3PPPVennnqqLZQYSocOHfTMM8/oT3/6k6Sq4Pc//vGPOoUYY7Vp0yb99a9/9R8nJCTo1Vdfjfr3fyScnpuxvk45vTcKDnHGUzznLlXNf9OmTf7jvXv3avPmzerSpUvMfYYzY8YMW9mYMWPqZaz6dNBBB6lLly7asGGDpfyKK67QjBkz1Lp163oZN/D3cbS/i33C/c7fu3evRo0apcWLF9vOde/eXaNHj1b//v2VlZWlhIQE5ebmasGCBfriiy+0c+dOf92KigpdfvnlatOmjU4++eRoLlFS1XUOGjRIffv2VZcuXZSZmam0tDQVFxdrx44d+uWXX/S///3P9o9zpk6dqjvuuEOPPvpoxGPt3r1bo0eP1pYtW2znevTooXHjxlnez86ZM0eff/65iouLJUnvvPOOBg0aFNX1XXTRRbr99tstwf/nnntOZ555ZlT9SFX/8OSDDz6wlJ144on19jMsyfEf3Lz22ms6+eSTdcYZZ9TLmMHvaaN9PxsNwzB06KGH6tBDD1Xfvn3VqlUrZWZmyu12q7CwUOvWrdOCBQs0ffp0yxwqKip0xRVX6JBDDtFhhx0Wsv8ePXr4A63bt2+3/f0Y/N7dSbi//ZYvX66jjjpKu3fvtp0bOnSojjzySPXu3VvNmzdXeXm5tm3bpjlz5ujLL7+0/EOo7du366STTtLixYtjen8FAAAARKSRV9oDAAAAAL94bS/7yCOP2Ppp3rx5RFs2LVu2zExLS7Nt+XTzzTebO3bsCNt2yZIl5qBBg2xj33TTTRHNu2fPnua4cePMKVOmmPn5+RG12bBhg3neeefZxjz55JMjam+apllSUmIOHjzY1kdSUpJ58803m7t27Qrb3uv1mnPmzDEnTpxopqSkmOvXrw9Z1+l7HMn2QqHEusVnaWmpOWDAAFvbrKws84033gjZbteuXebFF1/suI3Rk08+GdGcg7eXDdwKqlevXua3334bsu2OHTtsWxdKMvv06RPR2PEQPHZ9bi/rJNT2vNGIx9awdenj2muvdXwOjRs3zly5cmWt7VevXm1OmjTJbNOmTa0/P7FuL7tt2zbHLSAvueQSc+PGjWHbrlmzxvF5On78+FrHdXpcA39GLrzwQjM7Ozts+6ysLFsfDz30UETX7fV6Hbd5NgzDvPzyy80tW7bU2sfSpUvNm2++2WzatGnI58TChQttY/ztb3+LaI6Btm3bZiYmJkb9ONdV8NbrU6ZMqbXNjz/+aB566KG1bgnXrl0787///a9pmvbnQ6jHc+zYsf46aWlptf7eijev12vbpvW2225zrFvX7WXLyspMl8tle58S69aOTj9zF154YUx9ReLll192fF2J1YQJE2z9hfs9WhebNm1yfM4uXLiwXsarbzfddJPj9bRs2dL8xz/+Yebl5dXr+PHapj2Q0/OhX79+5tdff216vd6Q7fbu3Ws+9NBDttfT5s2bR7RF5WuvvWZ269bNfOCBB8yffvoporlWVlaab775ptm2bVvb75v58+fX6ZqbNm1qvvLKKyHb7Ny50/L3Q2pqatSvS9ddd51t3qtXr4543j6PP/64beypU6dG3U80fv75Z9MwDMff9RdddJG5ZMmSeh3fNOPzfjbQ6NGjzeOOO8586623zJ07d0bUZufOneb1119veywOOeSQiMd12jK6LoqKisx+/frZ+jzllFPM5cuXh227bds284ILLrC1HTp0aJ22bgYAAADCIXQHAAAAYJ8Rj9Bddna22apVK1s/11xzTa1tPR6Pecghh1japaenm999913E45eVlZl/+MMfLH0kJSVF9IFdpEE7J/fee6/tQ6NIwjumaZq33nqr44d10Vy3T05OjllcXBzy/L4SunvwwQdt7bKysiL+oPSOO+6wtU9OTo4okBP8IZvvNmTIkIg+4C4tLbU9TyWZs2bNimjudRU8LqG76Pr48ssvHT/kffzxx6O+jpKSEnPbtm1h68QaujvxxBMt7dxut/nWW29FPDev12tecskltmudN29e2HZOj6vvdv/990c09qxZs2wfIPfo0SOits8995zjz/Y777wTUftAe/bsCfszPXz4cMs4Bx10kFlRURHVGPfff79tvvUVOPIJDgwed9xxtbb57LPPLOHJSG4PPfRQxKG7L774wlLvX//6V5yvOrxnn33WMn6fPn3M0tJSx7p1Dd1t2bLF1r5Tp04xz33NmjW2/iL5nsbqgQcesI139913x9zfXXfdZevv7bffjuOMa3zzzTe2sRITE83y8vJ6Ga++bd++3WzSpEnIn8GEhARz5MiR5t13321+/vnnZk5OTlzHj3fo7r333rP1d8YZZ5hlZWUR9/HVV1/ZgndXX311re0KCgrChvrC2bhxo9mpUyfLmOedd15EbWfOnGm75iZNmpg//vhjRO3//Oc/h/z+1/a6tGLFClubSP+hkY/X6zV79Ohh6aNz584NEpA666yzwv4O6t69u3n11Vebr7/+url8+fK4zyneobu6/B05efJk2/V/9dVXEbWNd+ju6quvtvX3yCOPRNWH05zee++9Os0LAAAACMUlAAAAADhArF27VieccIJleyhJSk9P1+23315r+48++siyxadUtdXQ6NGjI55DUlKSPvjgA7Vs2dJfVl5ern/+85+1to1060Mnd999t4YMGeI/Nk1Tr7zySq3tdu3apX//+9+WMsMw9P7770d13T6tW7dWWlpa1O0aUkVFhZ555hlb+eTJk9W/f/+I+njwwQd1wgknWMrKyspsj2WkmjVrpg8//LDWbXYlKTk52XHbsa+++iqmsesqOztbAwcOrPNt+vTpjTL/hjZp0iRb2e23327ZljJSKSkpatu2bTymZbFgwQJ9+eWXlrKHHnpI559/fsR9GIahF154QX379rWUP/zwwzHNady4cbrrrrsiqnvUUUfprLPOspStWbPGto1hsIqKCj300EO28qefflrnnntu5JOtlpmZGfZn+tprr7Ucb9u2TR9//HHE/Xs8Hr344ouWst69e9f7Vpevv/665fiOO+4IW3/JkiX64x//aNumWKp6jHr37q0uXbooKSnJcu7222/Xa6+9FtGcTjjhBHXt2tV//M0330TULh7Wr1+vW265xX/scrn0yiuvKDk5uV7G27Vrl62stu04w3Fqm5eXF3N/tdmf579582ZbWYsWLeplC+GG0KZNG/3nP/+Ry+X8EUFlZaVmzpypSZMm6eSTT1abNm3UqVMnnXnmmfrHP/6h+fPnq7KysoFn7cw0Tdvv1wEDBuj999+3vbaEc9xxx+mee+6xlL322mu2bWCDZWRkyDCMyCccoFOnTnr22WctZR988IH27NlTa9unnnrKsWz48OERjf3kk0/qiCOOiGyiQfr06aOxY8dayl577TXL9p61mTZtmtasWWMpu+qqq0I+J+PpueeeC7u19dq1a/Xcc89pwoQJ6tevn5o2bapjjjlGt9xyiz777DPHrU8bU13+jpwwYYLGjx9vKXv55ZfrOqWobd261fb36zXXXGP5HRuJe++9V3/4wx8sZbG+/wQAAABqQ+gOAAAAwH6rtLRUW7du1eeff64rr7xS/fv3188//2yr9+KLL6pDhw619vfII49YjkeNGmULbkSiadOmuuGGGyxl//3vf6PuJxqGYejCCy+0lP3www+1tvv3v/+toqIiS9mVV16p4447Lq7z25d89NFH2rZtm6XspJNO0qmnnhpVP88884zcbrel7MUXX1RFRUXUc7rhhhvUqVOniOsfd9xxatWqlaVs0aJFUY8bDxUVFfrpp5/qfIvkw+X93axZs/Tjjz9ayg4++GDdd999jTQjZ8GvhT169NBf/vKXqPtJTEy0BbK+/PLLqD6Ql6pCTE5B03AuuOACW1ltPyPvvvuuNm3aZCk7/vjjdcUVV0Q1dqTOPvtstW7d2lL23HPPRdz+888/t4WArrrqqrjMLRTTNPX+++/7jwcOHKiRI0eGrF9eXq4//elPKi8vt5SPGzdO8+bNU35+vlauXKn169crPz9fU6ZM0SGHHOKv95///CeieRmGYQmKf//99/J4PJFeVsxM09Sll15q+T16/fXXxxxiiURxcbGtLDU1Neb+nNru3bs35v5qsz/P3ylk06xZs3oZq6GceeaZ+uCDD5SZmRlR/c2bN+vjjz/WTTfdpGHDhqldu3a64YYb9Msvv9TzTMP7/PPP9euvv1rKnnrqqZgCkX/5y1+UkZHhPy4tLbUF0ePtxBNPtPyDncrKSs2bNy9sm23btunTTz+1lB1++OG65JJLIh7XMAw9/fTT0U02wHXXXWc5zsvLs/yOqE3w77zExERddtllMc8nGi1atND06dM1YsSIiOoXFRVp1qxZeuyxx3TaaaepdevWOuWUU/TBBx80yO+b+nbRRRdZjmfPnt3gc3jiiScs7xcyMzNjDsvdfffdluMlS5Zo48aNdZofAAAA4ITQHQAAAIB92syZM2UYhuMtNTVVHTp00CmnnKKXXnrJ9iFrWlqa3nrrrYhWZ9qwYYMtkHH55ZfHPO+TTz7Z1n99/4f+nj17Wo4XL15cawAs+MM6wzB00003xX1u+xKnFZCuueaaqPvp3r27jj/+eEtZXl6eFi9eHHVf0YZ63G63Bg0aZClbtWpV1OOiYQX/vElVH+4nJCQ0wmyclZaWaurUqZayiy++2BYwjdRJJ51k63/u3LlR9TFmzBh17949qjZDhw61ldX2M+L0/Yl2dZVoJCUl2X72p0+frt9++y2i9s8//7zlODU1VRdffHG8pudo2bJlysnJ8R8Hr4wT7N1339WKFSssZc8884w++ugjDR061LIyVGpqqs4880wtXLhQf/zjH6OeW2D4b8+ePbWubBgPzzzzjGbMmOE/7tatm/7+97/X65hOv9dTUlJi7s8ptBYckoyn/Xn+JSUltrK6rC61rxg3bpx+/vnnmF7rd+7cqX/9618aMGCALrzwQm3durWeZhnehx9+aDnu2bNn2EBwOKmpqbbVngN/zuuDy+Wy/Z6r7XflN998Y1tp8PLLL496xb3DDz9cgwcPjqqNz6mnnqrOnTtbyoJ/N4WSnZ2tzz77zFI2btw4Wxi9PnXo0EEzZ87UU089FfXKwZWVlfr888919tlna8CAAY224nS8BP8dmZ2dbfuHCPUt+Of47LPPtgRgo3HEEUfYQtH1/XMMAACA36d957/qAgAAAECcZGRk6JxzztHdd9+tjh07RtRm5syZtrIjjzwy5jkEbnPns2TJEtsHU+EUFRXp+++/188//6zly5crLy9PBQUFKi4ultfrdawfqKysTDk5OSFX+SsoKNCSJUssZSNGjAi71dKBIHjlhvT0dNtWsZE6++yz9cUXX9j6HzZsWMR9dO/eXe3bt4967OAPZ38PK8Xt74I/7EtMTIxp29L6NG/ePNtKdHV5LczKylLTpk0tz88lS5ZEFYaIJTjRpk0bpaenW1bVCvczYpqm7fdA+/bt632r1okTJ+qRRx7xBydM09Tzzz9f65bk69evt33Af84556h58+b1NleparXGQLWtEBq8lfc111xj21Y3WHJyst58802tWrXKtuV7OMG/73fs2KFevXpF3D5aa9eu1W233eY/NgxDL730UqNssR7rtpah2pqmWZfpxGUOdWlbX/N36rcuc9+XdO7cWa+99pruu+8+vfXWW3r33XcdV48OxTRNvfnmm/r666/14Ycf6uijj67H2doFv37XdbXJ4Pfxwe+XI7Fs2TItWLBAP//8szZu3KiCggIVFhaGXO01eJvV2gJPTqG8cePGRT1PX7uFCxdG3c7tdmvixIm6/fbb/WVz5szRzz//rP79+4dt+9JLL9lCg1dffXXUc6irxMRE/fnPf9aVV16pTz75RG+99ZamTZvmGLIN5ddff9UJJ5ygO+64Q/fff3+DbI9bm7KyMv3www/66aeftGzZMu3cuVMFBQUqKipyXJnPKay8adOmqFbirouNGzfa/oFaXd5/ulwude7cWfn5+f6yJUuWaMKECTH3CQAAADghdAcAAADggDN48GBdf/31EQfuJOctdM4444w4zkrKzc2NqN6iRYv02GOP6dNPP43qAx8n+fn5IUN38+fPt33oUpcPN/YHxcXFtlWkDjvssJhX8RoyZIitLNqV7oJXlohU8Oo6jRW669y5szZs2NAoY+9PysrKbB/aDxw4sFECOuE4vRZec801SkpKirnP4FVII30t9KnLz0ikobu1a9dq586dlrL63CLUp0OHDjr99NP10Ucf+csmT56sBx98MOyWmy+88IItfN0QYYXA7RtTUlJ08MEHh6y7e/duS4gjJSUl4q2UU1JSdP/99+vMM8+MeG6BWzNKsn0/48nr9eqSSy6xPLevuOKKeg9pSnLcLrMu7xWc2tbl5702+/P8nX4mAwMdB4JOnTrp9ttv1+23366dO3fqhx9+0I8//qjFixdryZIl2rVrV9j2O3bs0PHHH69Zs2bZVuStL9nZ2bb3If/73/80cODAmPvcvn275TjS31tlZWV6+umn9dprr2n58uUxjy/V/twKXqG7ffv2atOmTUxj1eV7dfnll+u+++5TaWmpv+y5554Lu126x+PRSy+9ZCnr169fzKsTxkNKSorOOeccnXPOOSovL9fChQv1ww8/aOHChVqyZInWrl1ba6D373//u8rLy/XYY4810Kzt1qxZo4cfflgffvhhnf82aMjXN6f3nw888ICefPLJmPsMDrJG+/4TAAAAiAShOwAAAAD7tPT0dMeV1yoqKrR7925t27bNdm769OkaMmSIJk+erPPOOy+icbZs2WIr++mnn6KfcBh5eXlhz1dUVOjGG2/Uc88957iSXSzCfdgSuEWgz6GHHhqXcfdVeXl5tg/M+vbtG3N/ffr0kcvlsny/ov1AJysrK6axg4MLwauFYN+Sm5trC7nuiz9vTq+FwduD1lVtr4XB4vUzEm677cZ8Pbzuuussobvdu3frvffeC7lVbHl5uV599VVL2eGHH+64pW68rV692n+/X79+YQPLc+fOtbzeHnvssbZgXDinnnqqMjIyVFhYGFH95ORky3Go1aTi4amnnrKs+tehQ4cGC1k4BXXjHVpLT0+Pub/a7M/zd3otOtBCd4FatWqlM8880xJ+XbdunWbNmqXPPvtMX3zxhePjX1JSojPPPFMrV65skGC50++tnJwcx9f1WEXye2v27NmaMGFC3La2ri0wtWPHDstx7969Yx6rT58+Mbdt2bKlzjnnHL3++uv+sjfffFOPPvpoyK1BP/30U9tWxBMnTgw7zuWXXx71anyTJk3SaaedFlUbqSq4e8QRR1jC9wUFBZo9e7a+/fZbffDBByFXInz88cd1zDHH1LoSbH2YNGmS/v73v8ft919D/oMep5/jeG8TH+37TwAAACASjb/ONQAAAACEMXjwYC1dutR2+/XXX5Wdna28vDxNnjzZ9mFReXm5LrzwQn322WcRjdMQ/xE+3IfKFRUVOuuss/Tvf/87boE7X7+hOK1WUt9bEza23bt328qaNWsWc38ul0uZmZmWstpWgQnmtOoPDjz7y89bY78WOmmIn5HG/P6MGjXKtmLc888/H7L+Rx99ZFvFraG25Asct23btmHrBn+A7rQyaDhut1uHH354xPWDw0+tWrWKarxIrV69Wnfeeael7IUXXrD9LqgvLVq0sJUFby8fDae2TmPEy/48f6eVg3ft2vW7Cr1369ZNEyZM0IcffqjNmzfr5ptvdgzfbt68Wc8++2yDzKkhfm8FruLmZPr06TruuOPiGhIK9x5esr/mBa+AHI26tJVk2za8qKhIb731Vsj6wb/j0tLSdNFFF4UdY82aNfrpp5+iukX7njyczMxMnXjiiXr88ce1fv16vfvuuyFXVb/zzjsbfJvua6+9Vvfcc09cA+e1PQfjaV98/wkAAABEgtAdAAAAgP1aVlaWJkyYoKVLl+rcc8+1nPN4PLrgggsi2vrSKYzVkB555BF98skntvL27dvrmmuu0Ztvvqkff/xRmzdvVn5+vkpLS2WapuU2ffr0qMYsKCiwlTVp0iTma9gfOK2YVNcVcYLbR7oqE35f9peft8Z+LWwsjf39CQ4szJs3z7YdsU/wln1NmzaNeFXXugrcrre2kFlw2KF169ZRjxfNVombN2+2HEezql40brjhBssH9xdccIFOOumkehnLSatWreRyWf+T7rZt22IO7Ac/blJ0j3u0nPp2WuEoUg05f6eVxMrLy/Xzzz/Xy3j7uhYtWujRRx/VF1984bil78svv9wg82js31u7d+/WOeecY9tK3eVy6bjjjtNDDz2k//3vf/r111+Vm5uroqIieTwe2/v4aLdWDX6/WZf3s3V9LzxkyBDbaquhtpdds2aNvvnmG0vZ+eefX+fgX0NyuVw655xz9NNPPzmGw3/55RfNmzevwebz5ptvOoZcs7KydNlll+nVV1/VrFmztGHDBu3evVslJSW259/69esbbL5OGvvnGAAAAIgV28sCAAAAOCAkJyfrjTfeUE5OjiV8VlBQoMsuu0zffvtt2Papqam2spKSEqWkpMR9rsF27Nihhx56yFKWkJCgxx57TNddd50SEiL70y3af73vFJioy2oz+wOnba4CQySxCG4faist/L7tLz9vTq+FK1asqNPWc/uDxv7+XHjhhbr99tstW7k999xzevHFFy31fv31V8u2pr629bkdaCjBwa/GtmDBAv99t9utrl271ss42dnZluO5c+dq4MCBEbd3Wnnp+eef18cff2wpGzx4sGNoKSkpSe3atbME1SoqKpSdne24ElttnLZIrK/HLlTfGzdujLm/hpx/p06d1LJlS9s28vPnz49qVcYDzXHHHad7771Xd9xxh6V81apV2rJlS0zPy2g4/d669dZb9fDDD9fruD5///vfbauPDh48WG+//bZ69uwZcT/Rvo/PyMiwrHZXl/ezdX0vLFVtlR64Wt3PP/+sOXPmWLZolapWBg1eBa62rWX3Vc2bN9dHH32k3r17q7y83HLu22+/1fDhw+t9DhUVFbrlllts5bfddpvuvvtux58PJ429CpzTPL/88kudcMIJjTAbAAAAIHL71n8dAwAAAIA6SEhI0H/+8x9beOK7777Te++9F7at04o48dySKJxPP/3UtjrGI488ov/7v/+LOHAnRT9fp+3XDvRVBpy2iwzenisaXq/XtkJWVlZWzP3hwLW//Lw15mthY2rs70+TJk00YcIES9nbb79te31xWjmoIcMKgeG+2kKJwa+3waGUSETT5tNPP/XfHzJkSINt9xrtlodOK7Pl5OTY6q1ZsybkmE4rroWrH47Tdpj1GbKN59wl+/xTU1PVqVOnmPurzahRo2xl3333Xb2Nt7+45pprHN+z/vbbb/U+dmP/3nr33Xctxx07dtS0adOiCtxJ0c+5WbNmluPA0Ha06tLW5+yzz7Zt6x38O6usrEyvvfaapWzIkCEaNGhQrf3PmDHDtjpbbbeLL764ztdVmy5duui0006zla9atarex5akmTNnatu2bZay66+/Xg899FDEgTup8d/rNfbPMQAAABArQncAAAAADigdOnTQpEmTbOV33HGHKioqQrZz2oqsLiuvRCN4i6XmzZvr+uuvj7qfdevWRVW/bdu2trIDfYu0li1byjAMS9mKFSti7m/VqlW2Lf3qa0tD7N9atmxpCyTsiz9vjfla2Jj2hdfDa6+91vL6VFxcrDfeeCPksSQdc8wxOvjggxtsjoGh4q1bt4atG7y61cKFC6May+v1avHixRHVnTFjhuW1/A9/+ENUY+1vnAIqP/74Y0x9zZkzx1ZWn6u2dejQwbbV8MaNG22hkUhkZ2fbXp8GDBggt9tdpzmG4xSu+fjjj5WTk1NvY+4PmjZtql69etnKg1cFrA+N+XtrxYoVtu2R//znP0e9VWpFRUXU2ywH/xzVJeS1cuXKmNv6JCcn64orrrCUffjhh8rLy/Mff/DBB5ZjSbr66qvrPHZjC95aV2qY575k/zvS7XbrzjvvjLqfaP+OjLff6/tPAAAA7P8I3QEAAAA44Fx99dXq1q2bpWzdunV65ZVXQrYZNmyYrez777+P+9ycBK96M2zYMCUmJkbdT7QfuA8ZMsQWApo9e3bU4+5P0tLSbKvsLF26VB6PJ6b+Arcz9IlktQ78/iQlJdmCLEuXLo3Llm7x1JivhY2pW7dutg98ncJI9alXr1469thjLWXPP/+8/77TyncNHVYI/N3622+/2bYIDDR8+HBLiHDatGlRrVrzv//9L6LVlyorK3XDDTf4j5OSknT55ZdHPM7+6Oijj7aV/fDDD1H34/F4bO8d2rRp4xieiqd4zd+pzTHHHBPTnCI1btw4W6CqoqLCcSvg3xunoFk0KzbHqkePHrZVhufMmRPze7toOK1c6fT8rs2SJUtUWloaVZvg95tbt26NOfy5aNGimNoFmzhxoiX0WlpaalnZLnjlu+bNm+vcc8+Ny9iNqbGe+5L9OdizZ0/HAFttYg1ux8vv9f0nAAAA9n+E7gAAAAAccJKSknT33Xfbyv/+97+rrKzMsY3TqjhTpkyJ+9ycBK+EEMv2pLm5uZo+fXpUbTIyMmwhoLlz59Zpm7faOH0A1RAfigY64ogjLMdFRUX63//+F1NfH3zwQa39Az7B2xJWVlbatqVrbKNHj7b9nE6dOjXsSqEHipEjR1qOs7Oz9e233zboHK677jrL8bJlyzRr1ixJ1gCeVLXK0bhx4xpsbpJ129HCwkL9+uuvIetmZWVZfsfs3btXDzzwQETjVFRU6J577omo7jXXXGNZlfCKK66o1+1Fly5dGvUWh4G34K0VJemee+6x1ZsxY0bIOYwaNUrJycmWsu+++y7qLZG/+uor2zbBxx9/vG1F2Hg74YQTbGUffvhh1P04tXHqO57S09Ntq3lJ0iOPPKL169fX69j7OqfAV7jwT7zeE7pcLo0dO9ZSVlRUpK+//jrqvqLltJpZLO/j33vvvajbDB8+3Fb23//+N+p+pPj9zdOxY0fbapAvvPCCTNPUzz//bAuzT5gwIaotUPdV0T73JfvzP9a/h+Lxd2RFRYU+/vjjmMaP189x//79bas3fv/997aVEQEAAIB9DaE7AAAAAAekCy64QD179rSUbd68WS+99JJj/X79+tnqz58/X9999129zdEnPT3dchzLdkT//ve/o14hQ5LOPPNMy7Fpmnrsscei7idSGRkZtrLgD/zr2/HHH28rCw6zRGL9+vW2sF7Lli3rdVs+7N+Cf94k6YknnlBlZWUjzMZZZmamLRy4ZcsW27amByKn7099vh46OeWUU9SlSxdL2fPPP6/58+fbtlq97LLLlJSU1ICzk4488kjL8bRp08LWv+aaayzHTz75ZK0rgnk8Hl111VW1bkdbVFSkCRMmWH6vd+jQwTF0f6Bp0qSJTjnlFEtZaWmpXn/99aj6eeGFF2xl5513Xp3mFolx48bZnrv//e9/tWPHjoj7yMnJsYVE2rVrZwvP1ofbbrvNtrJVYWGhJkyYYNtyvi68Xq+efPLJuPVXnzZs2OC4PWXwytOB4vme8PTTT7eVPfTQQzH1FY3g9/BS9O/j8/Pz9eqrr0Y99h/+8Adb4Onll18OuwKpk6VLl0a9/Xc4weHxNWvWaNq0aY7vtSdOnBi3cRuT09+L3bt3D9sm+Pkf63M/Hn9Hvv322zFt8S3F7+fYMAxbYHPv3r166qmnYpoXAAAA0FAI3QEAAAA4ILndbscP3h966KGQ4bQ777zTVnb55ZdHtR1eLA466CDL8Zw5c6LacvLXX3+N+YPFq6++WpmZmZayl156qd5WB8nIyLB9QOj0IW19OvPMM22P+dSpU/Xll19G1c/1119vC0tdddVVMW0NjN+H4cOH27Y+/PXXXyNe0auh3HXXXbaym266qcF/VhvaWWedZQuIfPXVVyHD2vXB5XLZtoz98MMPdf/999vqXXnllQ02L59BgwapSZMm/uO33347bP0//elPlkC7aZq64oordO6552rhwoWWcEh5ebn+97//6cgjj3RcDc4nOztb//znP9WvXz/95z//8Zenp6fr008/ta2Uc6By2lr40UcfjXi1u9mzZ2vq1KmWsu7duzuu/BtvWVlZOvvssy1l0axuKFWtDhi8AueVV14pl6v+/3N3ixYt9MQTT9jKZ82apbPPPjvkqsrR2L59u0488cR6C93t2bNHb775ZtxWG3Z6H3r44Yfb3m8Fat68ua0s1t8z55xzjnr06GEpmzVrluP3KZ6cri/a99DXXXed8vPzYxo7OKS0aNGiqMK3pmnq+uuvj3rscMaMGaN+/fpZyh577DG9+eabtnq9e/eO69iRevfdd2PeijfY7NmzNXPmTFv5ySefHLZd8PM/1ud+8HPwt99+04YNGyJun5OTo5tuuimmsaX4/hzfdttttr8TH3nkEc2bNy+m/gAAAICGQOgOAAAAwAHr/PPPt2yFJ1V9WB9qVbMLLrjAVn/9+vU66aSTlJ2dHdMcCgoK9Oijj9o+aAp09NFHW46Liop03333RdT/hg0bdNppp8X8AW/Tpk11ww03WMpM09Q555wTdmu7UHbs2KG9e/eGPO9yuWwfxH311VdxXRmmNomJiY4fMF500UVavnx5RH3cfffd+vzzzy1lKSkptlWdgGChwsD//Oc/o+6rrKxM27dvj8e0LEaOHGkL3uzevVsnnHCCVqxYEVOfpaWleuGFF2K6zobidrsdw9fXX399TFv/FRQUxBTavuyyy5SSkuI/Li8vt4WjTjjhBNuKeA0hMTHRsqLUggULbCvwBUpOTtabb75p+xD9vffe05AhQ9S8eXP16dNHPXr0ULNmzXTiiSdaPly/9NJLLe3Gjx+v9u3b669//as2b97sL8/KytJ///tfHXbYYXW9xP3G2LFjbdtLbtu2TVdffXWtv1N37dqlSy65xFbvjjvukNvtjmj8yZMnyzAMyy14lcxwbrvtNttYL7zwgu257uSzzz6zrdLXrFmzuIeHwrnkkkt0/vnn28o/+ugjHXfccTFvNevxePTCCy/okEMOqdftUUtKSnThhReqb9++mjx5cp2Cgk8//bRefPFFW7nT4xOoY8eOthUDv/jii5jmkJCQ4Pje+ZZbbnFc0TFSc+bMCXsdhx12mCWILElPPfWUtmzZElH/kyZN0ltvvRXz/P785z87li1YsCCi9jfddJN++OGHmMcP5dprr7Ucf/PNNyosLLSUNeYqd5MnT1bXrl114403Wn6XRGvFihU699xzbasLHnLIITr00EPDtg0+v2zZspjmEvx3pCTdeuutEbXNy8vTKaecEtPqeD5O1xnrz3H37t11ySWXWMrKy8t1+umn27YmjpTH49G7777r+P4OAAAAiAdCdwAAAAAOWC6Xy3HVlEceeUQlJSW2crfbrQ8++MC2Tc68efN02GGH6dlnn41oC9fKykpNmzZNV155pTp16qRbb701bDDmj3/8o21llscee0x/+9vfwm47+c4772jEiBH+1QSCV6yL1N/+9jfbB/f5+fk6/vjjddttt0W0as78+fN1zTXXqEuXLrVuD3fEEUdYjletWqXLL79cGzdujH7yMfrrX/+qgQMHWspyc3M1atSosOGa/Px8XX755bZVp6Sq51W7du3iPVUcYMaOHau//OUvljLTNPXXv/5V48eP12+//VZrH+vXr9eDDz6oLl262LY4jpfJkyfbns+rV6/W0KFD9dBDD2nPnj219mGapubMmaMbb7xRXbp00cSJE/f51fIuvfRS/fGPf7SUlZWV6bzzztNVV12lrVu31trHsmXLdNttt6lTp076+eefo55DixYtat3i02mVs4ZywQUXWI4ffPDBsPWHDh2q9957z3Er3D179mjVqlVau3at7ffyo48+qgsvvNBSlpeXZ+tj+PDhWrJkSYOs0LaveeaZZ2zBtffee0/jx48PuXLWihUrdMQRR2j16tWW8qFDh+riiy+up5naHXzwwbZtKE3T1Lhx4/TKK684bpFpmqZeeukl28+oJD3wwAPKysqqt/k6efXVVzVmzBhb+ffff68+ffro+uuvtz3OoeTk5Oipp55Sr169NHHiRMfnen1YvXq1LrnkErVt21ZXXnmlvv/++4i3PP/ll180btw4x+BX7969aw1BGoahESNGWMqmTZum22+/Paqthn3OP/98W2CnsrJSEydO1B//+MeIX4+3bNmip556SsOHD9eRRx6pTz/9NGTdxMREnXHGGZay3bt3a+zYsWHHy87O1vnnn2/5OyWW9/EjR47UhAkTLGWFhYU67rjjwq54l5eXpwsuuMAfhE9NTY167HAuuuiisNfTtm1b2+PW0EpKSvTkk0+qS5cuOvbYYzV58uSIg/L5+fl6+OGHNWzYMMeA5dNPP11rH8F/D3m9Xp111llRb/V7wgkn2P52ff/993X55ZeHXTn966+/1ogRI/zjxfp35CGHHGJr+9BDD2ny5MmOf2/X5p///KctyJeTk6NRo0bV+jd1oJ9++kl33XWXevToofPOO08//fRT1HMBAAAAImGYTv8FAwAAAAAawYYNG9S1a1dL2ciRI2Nacc3H6/Wqf//++vXXXy3ljz32WMitdD777DONGzfO8UPHZs2aaeTIkRo2bJhat26tpk2bqri4WPn5+dq0aZMWLVqkJUuWqKCgIOLxJGnChAmWbfJ8OnTooPHjx6t///5q0qSJdu3apVWrVunTTz/V2rVr/fXS0tL0j3/8wxbEmD59ekQrz2zZskVDhw7Vtm3bbOdSU1M1cuRIHX300Wrbtq0yMzNVWFionJwcLV26VHPmzLGszLB+/fqwKzAtWLBAQ4cOdTzXqlUrtWrVyrZF6+DBg/Xyyy/b6s+YMUOjR4+2lEV6zStWrNDQoUNVVFRkO9enTx+dccYZ6tGjhzIyMpSTk6N58+bp008/ta3UIVVtIfXZZ5/JMIxax+3SpYslYDhhwgRNnjy51nbB7r33XtuqLg3xJ37wNSYmJtpWL4zVxIkTa135JB6PX12eN/Hoo7KyUscdd5ymT59uO+dyuTR48GCNHTtWnTt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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 22: Reaction efficiency history at steady-state.\n" ] } ], "source": [ "'''Individual reaction efficiency'''\n", "\n", "quant = stg.efficiency_history()\n", "quant.plot(title='Reaction Efficiency @ %2.1f C Steady-State'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', legend=stg.rxn_mech.reactions, show=True, figsize=[10,3])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Reaction efficiency history at steady-state.')" ] }, { "cell_type": "code", "execution_count": 101, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 20: Reaction efficiency history at steady-state.\n", "Time [min] Rxn Eff. [%]\n", " r0 r1 r2 r3 r4 r5\n", " \n", "0.00 0.000 0.000 0.000 35.000 50.000 50.000\n", "0.06 6.372 6.506 6.644 37.401 49.910 49.642\n", "0.11 12.131 12.581 13.054 39.502 49.839 49.359\n", "0.17 17.270 18.111 19.012 41.340 49.783 49.140\n", "0.23 21.807 23.042 24.383 42.949 49.741 48.972\n", "0.29 25.779 27.366 29.107 44.358 49.710 48.847\n", "0.34 29.232 31.105 33.176 45.590 49.688 48.758\n", "0.40 32.218 34.303 36.618 46.669 49.674 48.698\n", "0.46 34.790 37.011 39.488 47.613 49.665 48.661\n", "0.52 36.997 39.288 41.849 48.439 49.661 48.644\n", "... ... ... ... ... ... ...\n", "2.58 49.933 49.995 50.061 54.183 49.946 49.774\n", "2.87 49.966 49.998 50.033 54.206 49.961 49.836\n", "3.15 49.983 50.000 50.018 54.218 49.972 49.882\n", "3.44 49.991 50.000 50.009 54.224 49.980 49.915\n", "3.73 49.996 50.000 50.005 54.228 49.986 49.939\n", "4.01 49.998 50.000 50.002 54.229 49.990 49.956\n", "4.30 49.999 50.000 50.001 54.230 49.993 49.969\n", "4.59 49.999 50.000 50.001 54.230 49.995 49.978\n", "4.87 50.000 50.000 50.000 54.231 49.996 49.984\n", "5.16 50.000 50.000 50.000 54.231 49.997 49.988\n" ] } ], "source": [ "'''Individual reaction efficiency'''\n", "quant = stg.efficiency_history()\n", "tbl_count += 1\n", "print(f'Table {tbl_count}: Reaction efficiency history at steady-state.')\n", "print('Time [min] Rxn Eff. [%]')\n", "\n", "col_names = [f'r{i}' for i in range(len(stg.rxn_mech.reactions))]\n", "time_name = ''\n", "df = (quant.value.apply(pd.Series).mul(1)\n", " .rename(index=lambda i: round(i/unit.min,2))\n", " .set_axis(col_names, axis=1).rename_axis(time_name)\n", " .round(3))\n", "print(df.to_string(max_rows=20, min_rows=20))" ] }, { "cell_type": "code", "execution_count": 102, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Overview of Individual Reaction Efficiency at Steady-State+

\n", "\n", "

Steady-state window and overall observation

\n", "\n", "- Steady-state assessed from the final five time points (time = 103.208 s through 309.624 s). All six reactions settle to nearly constant efficiencies over that window: five reactions cluster very close to 50% and one reaction is consistently higher ≈54.15%.\n", "\n", "

Per-reaction steady-state statistics (rows 6–10)

\n", "\n", "- Reaction 1 — [C₄H₉O]₃PO(o) + H₂O(a) <=> H₂O·[C₄H₉O]₃PO(o): mean = 49.876% ; observed range = 49.4555 → 49.9998 (Δ = 0.544 percentage points; ±~1.09% relative to mean).\n", "- Reaction 2 — 2 [C₄H₉O]₃PO(o) + 2 H₂O(a) <=> [H₂O]₂·[[C₄H₉O]₃PO]₂(o): mean = 49.971% ; observed range = 49.8587 → 50.0000 (Δ = 0.141 percentage points; ±~0.28% relative).\n", "- Reaction 3 — 3 [C₄H₉O]₃PO(o) + 6 H₂O(a) <=> [H₂O]₆·[[C₄H₉O]₃PO]₃(o): mean = 50.074% ; observed range = 50.0002 → 50.2991 (Δ = 0.299 percentage points; ±~0.60% relative).\n", "- Reaction 4 — H₂O(a) <=> H₂O(v): mean = 54.149% ; observed range = 53.8787 → 54.2308 (Δ = 0.352 percentage points; ±~0.65% relative). This reaction is the only one with a steady-state mean noticeably above 50%.\n", "- Reaction 5 — O₂(v) <=> O₂(a): mean = 49.955% ; observed range = 49.8605 → 49.9973 (Δ = 0.137 percentage points; ±~0.27% relative).\n", "- Reaction 6 — N₂(v) <=> N₂(a): mean = 49.814% ; observed range = 49.4232 → 49.9884 (Δ = 0.565 percentage points; ±~1.14% relative).\n", "\n", "

Concise interpretation

\n", "\n", "- By the chosen steady-state window, efficiencies are effectively stabilized: low absolute ranges (≤ ~0.6 percentage points for most reactions, up to ~0.56 for two) indicate small residual variability. \n", "- Except for H₂O(a) <=> H₂O(v) (Reaction 4) at ≈54.15%, all reactions converge to values very close to 50%." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 6322\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Overview of Individual Reaction Efficiency at Steady-State'\n", " '+ Do not explain the start-up process; cover the steady-state only.'\n", " )\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='

', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Total water extracted in equilibrium\n", "\n", "From reference: **1994** Naganawa and Tachimori Anal. Sci. 10 p 607\n", "\n", "[H2O]_o,E = 0.4265 M\n", "\n", "Comparison to steady state:" ] }, { "cell_type": "code", "execution_count": 103, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total H2O extracted [M] = 0.2739\n", "Error (compared to measurement) [%] = -35.77\n" ] } ], "source": [ "h2o_e_molar = water_molar_cc_org_history[-1]/unit.molar\n", "\n", "print('Total H2O extracted [M] = %1.4f'%h2o_e_molar)\n", "print('Error (compared to measurement) [%%] = %1.2f'%((h2o_e_molar-0.4265)/0.4265*100))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Reaction Rate Density\n", "This quantity only makes sense per volume of the mixture." ] }, { "cell_type": "code", "execution_count": 104, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 23: Reaction rate density history at steady-state.\n" ] } ], "source": [ "'''Reaction rate density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.r_vec_history()# mole/m^3-s\n", "\n", "quant.plot(title='Reaction Rate Density @ %2.1f C Steady-State'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', legend=stg.rxn_mech.reactions, show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Reaction rate density history at steady-state.')" ] }, { "cell_type": "code", "execution_count": 105, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 21: Reaction rate density history at steady-state.\n", "Time [min] r [mM/s]\n", " r0 r1 r2 r3 r4 r5\n", "t [min] \n", "1.15 0.4504 0.8324 0.1172 0.0014 0.0014 0.0027\n", "1.43 0.4385 0.8159 0.1158 0.0014 0.0014 0.0027\n", "1.72 0.4331 0.8100 0.1157 0.0014 0.0014 0.0027\n", "2.01 0.4306 0.8080 0.1158 0.0014 0.0014 0.0027\n", "2.29 0.4294 0.8072 0.1160 0.0014 0.0014 0.0027\n", "2.58 0.4288 0.8070 0.1161 0.0014 0.0014 0.0027\n", "2.87 0.4285 0.8069 0.1161 0.0014 0.0014 0.0027\n", "3.15 0.4284 0.8069 0.1162 0.0014 0.0014 0.0027\n", "3.44 0.4283 0.8069 0.1162 0.0014 0.0014 0.0027\n", "3.73 0.4283 0.8069 0.1162 0.0014 0.0014 0.0027\n", "4.01 0.4282 0.8069 0.1162 0.0014 0.0014 0.0027\n", "4.30 0.4282 0.8069 0.1162 0.0014 0.0014 0.0027\n", "4.59 0.4282 0.8069 0.1162 0.0014 0.0014 0.0027\n", "4.87 0.4282 0.8069 0.1162 0.0014 0.0014 0.0027\n", "5.16 0.4282 0.8069 0.1162 0.0014 0.0014 0.0027\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Reaction rate density history at steady-state.')\n", "print('Time [min] r [mM/s]')\n", "import pandas as pd\n", "col_names = [f'r{i}' for i in range(len(stg.rxn_mech.reactions))]\n", "time_name = 't [min]'\n", "df = (quant.value.apply(pd.Series).mul(1)\n", " .rename(index=lambda i: round(i/unit.min,2))\n", " .set_axis(col_names, axis=1).rename_axis(time_name)\n", " .round(4))\n", "print(df.iloc[n_startup:].to_string(max_rows=20, min_rows=20))" ] }, { "cell_type": "code", "execution_count": 106, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Overview of Reaction Rates Density at Steady-State.

\n", "\n", "

Steady-state window

\n", "\n", "Steady-state assessed over the later-time plateau (times 103.208 s through 309.624 s).\n", "\n", "

Steady-state mean reaction-rate densities (mM/s)

\n", "\n", "- [C₄H₉O]₃PO(o) + H₂O(a) <-> H₂O·[C₄H₉O]₃PO(o): 0.429338 ± 0.001904 mM/s (CV ≈ 0.44%)\n", "- 2 [C₄H₉O]₃PO(o) + 2 H₂O(a) <-> [H₂O]₂·[[C₄H₉O]₃PO]₂(o): 0.807512 ± 0.001248 mM/s (CV ≈ 0.155%)\n", "- 3 [C₄H₉O]₃PO(o) + 6 H₂O(a) <-> [H₂O]₆·[[C₄H₉O]₃PO]₃(o): 0.116086 ± 0.000194 mM/s (CV ≈ 0.167%)\n", "- H₂O(a) <-> H₂O(v): 0.00135834 ± 0.00000404 mM/s (CV ≈ 0.297%)\n", "- O₂(v) <-> O₂(a): 0.00142763 ± 0.00000041 mM/s (CV ≈ 0.0286%)\n", "- N₂(v) <-> N₂(a): 0.00269515 ± 0.00000140 mM/s (CV ≈ 0.052%)\n", "\n", "

Interpretation and remarks

\n", "\n", "- The dominant surface/bulk association reactions are the second and first listed reactions (0.8075 and 0.4293 mM/s respectively); the third of those association steps is an order of magnitude smaller (0.1161 mM/s).\n", "- Gas–liquid exchange reactions are ~10⁻³ mM/s or smaller; N₂ and O₂ exchange rates are comparable (N₂ slightly larger than O₂), and H₂O vapor–liquid exchange is the smallest of the three.\n", "- Variability across the steady-state window is very small for all reactions (CV ≤ 0.44%), indicating a well-established steady-state in this interval." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 7482\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Overview of Reaction Rates Density at Steady-State.\\n'\n", " '+ Do not explain the start-up process; cover the steady-state only.'\n", ")\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='

', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Species Generation Rate Density\n", "\n", "This quantity is on the basis of mixing volume so all species generation values can be compared." ] }, { "cell_type": "code", "execution_count": 107, "metadata": {}, "outputs": [ { "data": { "image/png": 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FITs7G48ePUJERARu3LiBuLg4ZGZmIjIyEuvXr8fQoUPh5eUla2fPnj2oV68e9uzZY46XpbebN29KEkG8vb3x008/Ga39b775BrGxsZKyKlWq4PTp0yqT9IBnI9Vt3boVffv2lZSnpKRg2rRpRotNk7y8PEyaNElW/uGHH2LJkiWyJL3nWrVqhTNnzsi2i02bNpl9euQVK1aoTNIrW7YsDh8+jL1796J169Yak32AZ+cM3nnnHZw8eRKHDh1CnTp1TBGyRFRUFH7++WdZ+aJFi7Bp0yatkvSAZzddjR49Gvv370dUVBQ+/vhjlZ9bopLkww8/lCWVtmzZEqGhoejTp49Wn1tbW1t069YNy5cvx/3797FixQo0aNDAVCETERERvfKYqEdEREREOH36NKKjoyVl5cqVw+rVq2Fvb69Xm+7u7pg8eTIWLVpkhAiJSr6CggIMHjwYjx49kpTb29tj/fr1mDt3rtoLcdpwcXHBF198gYiICLUJEkRExjZw4EDMmjVLVh4WFoaIiAgLRESW1r59e+zatQsrVqxQ+b02f/58bN261QKREZnH4cOH0axZM1y6dElSbm9vjwkTJiA8PByXL1/G3Llz0atXL/j5+alsx8bGBtWqVcOAAQOwatUqPHjwABs2bMBrr70mWS8+Ph49e/bEypUrTfaaDFFQUIChQ4dKpjP94Ycf4Ovra5T2k5OTZUlWVlZWWLVqlcYkKWtrayxbtkx2k8y6detw584do8Snydq1a2W/tevUqYP58+drrFuxYkWVCY/mnH4+IiICH3zwgay8evXqOH36NNq3b6932x06dEBYWBg+/vhjQ0LU6K+//pJN496zZ0+D+q1YsSIWLVqE9957z9DwiEzm/v37OHHihKTM2dkZf/31F9zd3fVq09HRESNGjMCqVauMESIRERHRfxIT9YiIiIgIe/fulZUNHTqUI3cR6WDlypU4duyYrHzJkiXo37+/0fopV64cdu3ahf/9738qR7kiIjK2jz76SOUxwb///muBaKikGDFiBI4dOwZHR0fZc+PGjUNqaqoFoiIyrR07duD111+Xbd/9+/fHjRs3sHjxYtSvX1+vtu3t7fHuu+8iPDwc69evh4+PT+FzSqUSI0eOxC+//GJI+Cbx7bff4syZM4XLwcHBGDRokNHaX79+vez9Dg4ORuvWrbWq7+3tjU8++URSplQq8dtvvxktxuIsWbJEVvbll1/Czs5Oq/oDBw6UjTp35MgRREZGGiU+TUaPHo3s7GxJmZeXFw4fPozAwECD27ezs8OiRYvw559/av2e6ErV+Q5VyYdEr5p9+/ZBCCEpe/PNN1G+fHkLRUREREREAGBj6QCIiIiIyPJiYmJkZY0aNbJAJJpdv34dFy9exMOHD5GbmwtfX1+UL18erVq1gouLi0n6VCqVuHDhAmJiYvD06VMkJSXBzc0NPj4+qFq1Kho0aKDV1MD6yM3NRWhoKO7fv4+EhAQkJSXB3t4ebm5uqFy5MmrVqoUyZcqYpG9dREZGIjIyEk+ePEF8fDzs7e3h4+MDf39/NGvWDA4ODkbrKysrC9euXUNERASSkpKQlpYGa2trODk5wdPTEwEBAahcuTLKlStntD41ycnJUTniVL9+/TBs2DCT9Klqump9ZGZm4ty5c3j06BGePn2KjIwMeHt7w8fHB/Xr10fFihWN0k9xUlJScPbsWdy6dQspKSlwcXGBj48PGjZsiBo1apikTyEErly5gtu3b+Pp06dISEiAs7MzfHx8EBgYiCZNmsDGxrQ/mZVKJS5evIjr16/j8ePHyM7OhrOzM+rVq4eOHTtqVf/OnTuFU+ilpqZCqVTC09MTnp6eqFGjBurWrfvKJ3Q+/1/eunULT58+RWJiItzd3eHr64uKFSuiYcOGZnkPLLEdm4uzszPatm2L3bt3S8qvX7+ud5uv4vabm5uLkJAQxMXF4cmTJ0hNTYWnpyd8fHxQq1Yt1KpVy9IhGl3jxo2xdOlSDBkyRFL++PFjfPvttwaP+mTJY7Dn8vLycP78eVy/fh3x8fGwtbWFj48PqlWrhqZNm2o1ZZw2hBC4c+cOLl++jEePHiE1NRX5+flwdHSEi4sLypcvj8DAQFSrVs3k30+k2vHjx/Huu+8iNze3sMzb2xurV6826mjHCoUCAwYMQKdOnTB48GBJUvTEiRNRoUIFvPHGG0brzxARERH44osvCpfd3NywdOlSo/axceNGWdmYMWN0amPIkCGYOXOmZJriDRs2YN68eQbHV5yoqCiEhoZKysqWLYuePXvq1M7o0aNliWUbNmzA7NmzDQ2xWHv27JGNxgU8Sz5UN1Kkvox5Y1NRL9P5DmMw9+87Sx/TJSQk4OzZs4iLi8PTp0/h6OiIChUqoFGjRmb5LVuS/Ve2/fT0dNy4cQM3b95EQkIC0tLSYG9vD09PT/j6+qJx48Yl4ryZLh4/fowLFy7g6dOnePLkCQoKCuDj44PSpUujefPmnHabiIjoZSeIiIiI6D+vS5cuAoDksX//frPGEBAQIOl/yJAhhc/l5OSI//3vf6JixYqyOJ8/HB0dRd++fcWlS5eMFtOBAwdEv379hIeHh9p+AQhvb2/x3nvviYiICKP0m5+fL/744w/RtWtX4eTkVGzfAET16tXFpEmTxIULFzS2PWTIEEndgIAAveOMjIwUY8aMkf3vij4cHBxE165dDd6mtm7dKnr06CFsbW01vicAhJ+fn3jrrbfEunXrREpKikF9a7JmzRpZ/zY2NiIuLs6k/eorLy9P/Pbbb6JDhw7Czs6u2PexcuXKYvr06SIhIUHnfjRtb+Hh4aJv377F/k8DAgLE4sWLRW5urlFee0hIiBg8eLAoXbp0sa/b1dVV9OnTR5w7d07nPo4cOSJr78iRI4XPx8TEiPHjxwtPT0+Vfbdr105t25GRkWLevHmiS5cuwtnZWePnwN3dXfTr10+cPXtW6/jv3r2r1WdM00OdouvNmjVL69iKvhcjRowQZcqU0biPHjBggFb7SFVK4nasi3bt2sniuXv3rs7tTJw4UdZOnz59dGrjVdh+iyooKBB///23CA4O1via/Pz8xPjx48W9e/d0et+MQdV+6cVjLUO98cYbsvZ9fHxEdna2Xu2Z4xhs1apVxX42Hj58KCZNmiTc3d3V9u/h4SEmT54s4uPj9XqdQjz7XEycOFHj99Lzh5OTk2jTpo34+uuvRWRkpMGv80Wq9he6PlatWlXY3uDBgyXPKRQKcefOHb3fKyGe7XOL9jl58mSD2tTGvXv3hLe3t6TfmjVritjYWJP2m5eXJ0aMGCHp18XFRa/9uLHl5+eLJk2aSGJbvnx54fOq9sfFHeOokpycLKytrSVtuLq6ivz8fJ3j7dq1qyye69ev69yOLn7++WdZn2PHjtW5nYcPH8raadq0qQkilurUqZOs3w4dOpi8X2NT9XsnJyfHpH2q+t7V9aHLb3Vz/b57zhzHdJocPXpUdOvWTdjY2Kjtt27dumL16tWioKCgsF7R7zp1+6WUlBTh4uJi0D5MlUmTJsnivHjxosHtqvL+++/L+lq2bJlJ+nqRpnNE2jxe/P1cVF5enti/f7+YOHGiqFevnlAoFBrbq1y5svj888/F06dPtX4ds2bNMvh16HK8nZiYKGbPni0aNGhQ7GuysrISjRs3FkuXLrXI70siIiIyHBP1iIiIiEj07NlTduLnxYss5qAuUS8qKkrUrl1b65NgNjY2Yvr06UKpVOody+XLl0WHDh10PgFnbW0tRo8erfdFaSGE2Lx5s6hSpYreJwG/++67Yts3RqJefHy8GDFihOyimTaPdu3a6ZygEBMTI9q2bWvQydFPP/1U59epi/bt28v67Nevn0n71Ne2bdv02sbc3NzEzz//rFNf6ra3goIC8dlnn+m0DTVo0EA8fvxY79cdHR0t+vTpo9f206dPH5GUlKR1X8Ul6q1YsUJjAq6qC0Dx8fGiQYMGBn0OevXqpdXrKOmJehkZGWLs2LHFXpRT9VAoFGLQoEEiMTFRp/5K0nasD2Ml6s2YMUPWTqdOnbSq+yptvy86fvy4aNiwoc5t29vbi88//9ygYxVdmTpR79ixYypf644dO3Rqx5zHYMUlsG3evFljkuCLD29vb3HmzBmdXuvzfYimhIriHqVLlzbodRZl7ES9s2fPyp439JhMVdLBjRs3DGpTE6VSKVq3bi3ps379+jpd7DdEQUGBGDRokKT/Ll26mKXv4nzzzTeSmDp27Ch53hiJenv37pW10blzZ73inTt3rqwtUyesvPPOO7I+169fr1dbRY/fra2tRUZGhpEj/j+xsbEqE0W2bNlisj5Nxc3NTfY6bt68adI+zZmoZ87fd+Y8plMnMzNTjBgxQqvkrBf3Pc/32dom6gkhxJgxY2RtGZLgm5GRITu+aNGihd7taaLqRpsZM2aYrL/nTJmo99dff4lSpUrp3a6Tk5PW2725EvXy8/PFvHnzdDr2fP6oWLGiOHr0qA7/HSIiIioJXp75Q4iIiIjIZFRNAbFp0yYLRCJ19+5dtGrVCteuXdO6Tn5+PubNm4ehQ4eioKBA5z537dqFFi1a4PDhwzrXVSqVWLZsGYKCgvDkyROd6hYUFOCTTz5Bv379EBUVpXPfz6WmpupdVxs3b95E8+bNsXLlSiiVSp3rHzt2DE2aNEFISIhW60dHR6N169Y4fvy4zn2ZS3Jyssopod5//30LRKOeEAKzZs1C79699drGUlNTMWHCBIwePVqv//1zBQUFGDx4MObOnatTO+Hh4Wjbti3S09N17vPs2bNo2rQptm7dqnNdANi6dSuaN29u0GcTABYtWoSRI0ciMzNT57ppaWkIDw83qP8dO3agadOmuH//vkHtWFJ8fDw6dOiAJUuWID8/X6e6QgisW7cOrVu3RmxsrEFxWGI7trTk5GRZmaurq1Z1X8Xtd/ny5ejQoQMuXLigc92cnBx89dVX6N27NzIyMkwQnfm1bdsW9evXl5X/888/WrdhqWOwopYuXYq33npL5TavTkJCAjp16oSLFy9qXWfIkCGYO3euZBrVV02zZs3QuHFjSdnvv/+u92tOTU3F+vXrJWUdOnRA9erV9Y5RG8uWLcPJkycLl8uWLYvdu3ejVKlSJu33OYVCgVWrVqFFixaFZf/++y/WrVtnlv5VuXbtmmTaVWdnZ/z2229G7ycsLExW9uL7oIuWLVtq1b4xmTJ+pVKJS5cu6dWWNnbt2gUhhKSsTJkyOk/bWxKU1PMdhrLE7ztLH9NlZWXhjTfewMqVK2XbZ3GOHTuGtm3bIikpSaf+JkyYICszZHrvjRs3yo4vxo4dq3d7mqja9rds2WLQ73lLu379OuLj4/Wun5mZiQkTJpj0fddFWloaevbsienTp+t07Pnc3bt30blzZ/z+++/GD46IiIhMxsbSARARERGR5bVs2RLLly+XlB08eBCLFy/GBx98YJGY8vLy0KdPHzx+/LiwrFq1aujTpw8qV64MFxcXPHr0CCdOnMCePXuQnZ0tqb927Vp4enrixx9/1LrPP//8E4MHD5Yl+NnZ2aFDhw5o1qwZ/P394e7ujvT0dERHR+PQoUOSC3fAs6SgPn364MiRI7C1tdWq78GDB+PPP/9U+VydOnXQuXNnVK5cGaVKlUJeXh4SExNx/fp1hISEIDw8XKeT1Pq6fv06WrdurfLkdtOmTdGqVStUr14dnp6eyM3NxcOHD3H69Gns3bsXOTk5hes+evQI3bt3x4ULF+Dv719sn8OHD8e9e/dk5fXr10dQUBCqVasGDw8P2NraIi0tDUlJSbhx4wYuX76M0NBQs5yAPnnypCxhyMbGBq1btzZ537oYO3Ysli1bJiv38vJC586d0ahRI/j6+sLJyQnJycm4du0a9u3bh8jISMn6y5cvh4eHBxYsWKBXHDNnzpRcZPf390dwcDDq1q2LUqVKIT09HREREdiyZQvu3r0rqRsZGYlp06bh559/1rq/o0eP4vXXX5ftI6ysrNCmTRu0bNkSFStWhIeHB7KysnD//n0cO3YMhw4dkmw/kZGR6N69O0JDQ+Hm5qbz6/73338xf/78wmV7e3u0b98eQUFBKFOmDGxsbHD//n2cO3dOqyQuFxcXNGnSBDVr1kTVqlXh7u4OV1dX5ObmIikpCdevX8eRI0cQEREhqXfr1i288847OHbsGGxsVJ8SsLOzw2uvvVa4fP36deTl5RUue3p6okKFCrq+BQbLyspC+/btcfXqVdlzpUqVQu/evVGvXj34+voiISGhcDt68OCBZN3n+7KLFy/Cy8tLr1jMvR2XBJcvX5aVVa5cWa+2Xvbtd/78+Zg+fbqs3NnZGZ07d0aTJk1QtmxZuLq6IiUlBbdu3cKBAwdkSX07d+7EiBEjsHHjRoPiKSk6duwoS1Q7ffq0VnUteQz2or1792LChAmFx1Xu7u7o0qULWrZsCV9fXxQUFCA6Ohr//PMPzp07J6mbkZGBYcOGISQkRO32+dyaNWuwdu1aWbmPjw+6du2KunXrws/PD46OjsjKykJaWhru3r2La9eu4cyZMzonGmirSpUqhReJHz16JDkOByD5bKlTdL86YcIEDB06tHD56dOn2Lx5MwYMGKBzfGvXrpUlt5r6QntSUhJmzpxZuGxlZYXNmzfDz89PY92TJ09i48aNOHr0KB48eICsrCz4+fkhMDAQvXv3xjvvvAMfHx+t4rCxscGaNWtQv379woT/efPmYdCgQfq9MAPk5+djyJAhkoTLb775BhUrVjR6Xzdu3JCVValSRa+2VH1nFT3ONaa8vDzcuXNHUmZra4uAgAC92lMXv76Jf5ocOXJEVta2bVuN+7eSqGXLlrh586akbN68eejQoYPJ3j8XFxfJPrNoUmXp0qVVJlG9SNN+piT8vjPlMZ0q7777Lg4dOiQr9/b2Ru/evfHaa68V/ha4du0atm7diocPHwIAIiIi8N577+n0+mrXro2goCAcPXq0sOyPP/7AvHnz4OTkpFNbALBkyRJZ3G+99ZbO7WhLVYJyZGQkPv30UyxatAgKhcIk/daqVQseHh4AgNjYWMlxi62tLWrVqqWxDRcXF636CggIQIMGDVCrVi2UL18erq6ucHR0RHp6Oh48eICLFy9i//79SElJkdRbunQp6tati3Hjxqltu0yZMoWf4/T0dNy+fVvy/PNzk8Up7ndHZmYmgoKCVN74U7lyZbRv3x716tWDl5cXbGxsEB8fj5CQEOzZswdPnz4tXDcvLw8jR45E6dKlERwcXGw8REREVEJYcDQ/IiIiIiohnjx5IhwdHVVOo/DGG2+IEydOmDyGolNjODg4FP7t4eEhVq9erbZuXFyc6NGjhyx2hUKhdrqMoq5evSqbjtLGxkZ88skn4smTJ8XWDQ8PF40aNZL1//HHH2vV96JFi1S+90FBQeL8+fMa69+/f198//33olKlShqnkNR36tv09HRRq1YtWYw9evTQOPXLw4cPZdN1ARBNmzYtdtq/EydOyOpUqlRJnDx5UquYExMTxfr160Xbtm3FtGnTtKqjj9mzZ8virF+/vsn608fvv/8ui9HLy0ssW7ZMZGVlqa1XUFAgtm7dKnx9fWX1d+3apbHfotubnZ1d4RRFrq6uYvny5SI/P19l3ZycHPHpp5/K+rW2thb379/X6nU/fPhQlC5dWtbGsGHDRExMTLF1o6KiRNeuXWV1tZnSWNVUVy9Oj9q3b18RGxurtr6q/8ndu3eFh4eHmDBhgjh69KjIzc3V/AYIIU6dOiUaN24si2fRokVa1RdC/dTk+ioai7ZT344ePVrl+zpjxgy123F+fr5YuHChsLe3l9Xt3bu3Vv1aejs2lDGmvr1//76wtbWVtbN161at6r9K2+/BgweFlZWVpE1HR0cxb948kZKSUmzdI0eOiMqVK8tej67TzunD1FPfCvFsulhV23pmZmax9Sx1DKZqStjnx58KhUJ89NFHxU7N99dff0mOV58/NmzYoLFvVVNYLly4UKupe/Pz88XJkyfF+++/LypXrqzX69RmH6Bqujd9ZGdny6aoa9OmjV5t1alTR9JO2bJlRV5enl5taWvOnDmSPidOnKixzv3790WvXr1k75+q7W3u3LmFx8PafDd+9dVXkvX27dtnzJerlaLvScuWLVUe0xtj6tuiUw4DEMeOHdMr7vz8fNl09f7+/nq1pY2oqChZ7BUrVtS7PVWf5c8//9yIEUtVqlRJ1t+3335rsv5M6Z9//lH5GbS1tRWTJk0St27dMnkMRfvW9vhXHUv9vrPkMZ2qz4BCoRAff/yx2mONvLw88dVXX0mOY4ue+9K0X1J1fLNy5Uqt434uNDRUr+MVQ+Tm5oqyZcuq3P5bt24t9uzZo/Z3jLHoew5KnVmzZom6deuKH374QesprLOzs8VPP/0kmwbb3t5e699kqo6ltT3fqE7R9waAqFWrlvj3339FQUGB2nqZmZli3rx5st9nnp6e4t69ewbFRERERObBRD0iIiIiEkII8cknnxR7IalcuXJi2LBhYvny5eLixYtGvyhW9EL684erq6tWyWpKpVL0799fVr9q1arFJoM9r1v0wp+zs7M4fPiw1vHn5OSIzp07S9qws7PTeJLsypUrsgtGAMTkyZM1xl1Ufn5+sck/Quh/knTs2LGyGBcsWKBTfKou+P71119q1//4449lF1L0vYiSkZGhVz1tDBgwQPa6RowYYbL+dHX37l1ZAkS1atV0OoEbGxsrypcvL2mjdu3axZ48FkL1iefnF5EuXryoVd+jRo2S1f/qq6+0qvv6669L6llbW4v169drVVeIZxeyhg0bJuv/3LlzxdZTdRL/+UObC/yq5OTkaEx2UScrK0t069ZNEoe/v7/W+/GSkKh38uRJWT0rKyvxxx9/aNXnP//8ozLRbPPmzRrrWno7NpQxEvVUJVt7eXlplVQkxKuz/aampsqSf319fcXly5e1biM5OVnUq1dP0kapUqVM+j0lhHkS9WJiYlR+ViIiItTWseQxmKoL/sCzi/7a7lvWr18vq9+xY8di61y9elVWZ/bs2Vq/3hdps91YOlFPCCGmTZsma+vq1as6taHqBg5TJikJIU8y9Pb2FqmpqcXWuXXrltrfNeoevXr1Ejk5OVp9N8bHx0uO6/r06WOCV67epUuXJN+nDg4O4saNGyrXNUaiXtGkVgDizp07esdf9HjWzs5O77Y0UXXs0rZtW73bO3jwoKy9999/34gR/5+cnJzCmxJefBw9etQk/ZlDkyZNiv0c1q1bV0yePFls3LhR3L592+j9F+3PkEQ9S/6+s9QxXXJysvD09JS9j4sXL9aq77///lvleRdt9kv5+fmy96px48Za9fuiESNGyI43zJEk+ssvvxS77Xt7e4v+/fuLxYsXi3Pnzml9fK8tYyfqJScn61330qVLsmS96dOna1XX2Il6f/31l6y9N998U+Tk5Gjdxv79+2W/cceOHat3TERERGQ+TNQjIiIiIiHEs5OmLVq00PqCkoODg2jatKn44IMPxN9//y0ePXpkUP/qLmgVN5JeUTk5OaJatWqyNjTdGb5p0yZZnU2bNun8GpKTk2Ujhnz44YfF1lGVXDhgwACd+9aWPidJ79+/L+zs7CT1xo0bp1f/RS+kN2jQQO26ffr0kazbuXNnvfo0tbZt28r+h9qe7DWHcePGSWJzdnbW6wKnqouNO3bsKLaOugQnTfVelJCQIBuxqHXr1hrrnT9/XtbvwoULte73udzcXFGzZk1JO5pGYlOXqNe0aVOTj1igzuPHj2UX9Hbv3q1V3ZKQqNe3b19ZvSlTpujU7/z582VttGjRQmM9S27HxmBIol5ubq748MMPVb7+//3vf6YN/AUlZftduHChpC0rKytx5swZndu5ffu27Hv1xx9/1DsubZgjUS8rK0vltnLgwAG1dSx5DKYuUU/XfUvTpk0l9W1sbIodzWjnzp2yPuPi4nTqUxclIVEvOjpaliAxfvx4ndooemOEtbW1xhtUDLVlyxZJn5oSKlNTU1WOQgY8++1UsWJFUa1aNeHi4iJ7/r333tP6u/HF7yUPDw+db+7RV25urqhfv74kznnz5qld3xiJel5eXrI2NI20WZwaNWrI2ktLS9O7veKo+qx3795d7/bOnj0ra69v375GjPj/3LlzR+V2rC4p82UQFRUl+54o7uHp6Sk6duwoPvvsM/Hvv/+K9PR0g/ov2r4hiXqW/H1nKH2P6X766SdZrIMHD9ap7+nTp6v8X2uzXyo6mikAERISonXfycnJstfdpUsXneLXV0FBgezcSnEPW1tbUb9+ffH++++LtWvXahyJXhNjJ+oZ6ueff5bE4+vrq1U9YybqFRQUiNq1a0vaeu2117QeofJFc+fOlR1vPH78WK+4iIiIyHysQEREREQEwMHBAXv27MEbb7yh1frZ2dk4f/48Fi9ejLfeegtly5ZFUFAQfv/9d+Tk5BglpsaNG+O9997Ten07Ozt89913svKlS5cWW2/BggWS5aCgILz11lta9/ucu7s7Jk2aJCnbtm2b2vWjo6OxadMmSZmPjw+WLFmic9+m9P333yM3N7dw2c3NDfPnz9errS+++EKyHB4ejpiYGJXrpqWlSZa9vb316tPUkpKSZGXu7u4WiETu6dOnWLVqlaTsk08+QcWKFXVuq1WrVujYsaOkrLjtW5127dqhZ8+eWq/v5eWF7t27S8ouXryIgoKCYusV/VxXqVIFU6ZM0T7Q/8/W1hYzZsyQlO3du1ev/dyiRYtgbW2tcz1j8PX1Rbdu3SRlJ0+etEgsuoqLi8P27dslZb6+vpgzZ45O7UyZMgVVq1aVlJ05cwYXLlzQOSZzbcfmplQqkZiYiPPnz2PhwoWoWbMmvv/+e9l63bt3x8SJE80WV0nYfnNzc/HDDz9Iyt577z00b95c57YqVaqEwYMHS8r02Z+WNA4ODrC3t5eVp6amqq1jqWMwddzc3DBr1iyd6gwaNEiynJ+fj8uXL6tdv+jxDVByj3GMJSAgAD169JCUrV27FhkZGVrVj4+Px+bNmyVlwcHB8Pf3N1qMqmzcuLHwbxsbG4wfP77Y9T/88EPcuXNHUtagQQPs2LEDSUlJuHPnDiIjI5GSkoLTp09Lfnf98ccfWsf14vFYcnIywsPDta5riLlz5+LixYuFy40aNcInn3xi0j5VbSOOjo56t6eqbmZmpt7tFedljl3V7xsA8PDwMEl/5lC5cmUcPXoU1atX12r9pKQkHDp0CHPnzkWXLl1QqlQpvPPOO9i3b5+JIy1eSfx9pwt9j+mKntNxcHDAokWLdOr7s88+Q5kyZXSq89z7778POzs7SZku523WrFkj+7yOGTNGr1h0pVAosH79eowYMUKr9fPy8nDx4kUsX74cgwcPRkBAABo3boyffvoJKSkpJo7W9AYNGgSFQlG4/OTJE9y8edOsMezevRvXrl2TlP3444+wtbXVua0pU6bA1dW1cDk7Oxt79+41OEYiIiIyLSbqEREREVEhDw8P7NixA3/88QeqVKmiU10hBI4dO4YRI0agWrVqWL9+vcHxjBw5UnICTRvdu3dH+fLlJWWHDh1CXl6eyvWjo6MRFhYm61dfwcHBsvbVJaLt3r0bSqVSUjZmzBi4ubnp3b8pFL0w+vbbb0tOBOqiZcuWsgs8R48eVblu0YvW586dQ35+vl79mlJWVpasTN+LWKVKlYJCodDpUZzdu3fL4jPm9q3uf1ecUaNG6VynadOmkuX09HTExcWpXT87Oxv//POPpGzo0KF6J8kVTbDKzs7G2bNndWqjatWqaNu2rV79G0vRJDVdX4OlHD58WLavfO+99+Ds7KxTO7a2tiq3vwMHDugckzm2Y1OqWLGiyv2JjY0NvL290axZM3z66ae4ffu2rG7//v3x999/mz3p1NLb7+nTp/HgwQNJmTH3p2fPnjXajQ6W5OnpKStT9T0JWPYYTJ23335b5+Owop9tAIiMjFS7vqqkvJclcdoQEyZMkCynpqbizz//1Kru77//LrlpBADGjh1rtNhUEULg8OHDhctBQUEoVaqU2vXv3r0rS54ZMGAAzp07h549e8LBwaGw3MrKCi1atMDOnTt1TjQBniWLv6jo58gUwsPD8c033xQu29ra4vfffzf5d4Gq33Avvpe6UpXsVnTbMpaXOXZ1++2ScjOSvmrXro2wsDDMnj1b59eSnZ2NTZs24fXXX0erVq1w/vx5E0VZvJL4+05Xuh7TxcbG4vr165Kynj17onTp0jr16+TkJEuu15avr6/sRoKNGzdqnbi2bNkyyXK5cuW0vknWGBwcHLBixQr8888/aNCggc71w8LCMGnSJFSpUgWLFy8ucTcb6cLd3R2+vr6SMnP/rih6jq1q1aqy73ZtOTo6on379pIyc3yOiYiIyDA2lg6AiIiIiEoWhUKBwYMHo3///ti3bx/+/PNP7N69u9jRUIqKjY3FoEGDcPDgQSxdulTl6CraePPNN3WuY2VlhV69euGXX34pLMvOzsbFixfRpEkT2frHjh2TlbVq1Urnfp9TdSd7eHg4AgICZOWqTp4VHWHH0mJiYmQXuQ15f6ysrBAQEIDk5OTCsvDwcAwZMkS2brNmzSQjmdy9exejRo3CL7/8AicnJ71jMDYhhKVDUKvo9h0QEIBy5crp3V7R7Ts6OhrJyck6JSbqcwK6cuXKsrKUlBS1I+mcO3dOlvBiyHbr5eUFd3d3yYWY8PBwnV5LUFCQ3v2rExcXh9OnT+Py5cu4efMmUlJSkJqaiqysLJXb5aNHjyTLsbGxRo/JFE6dOiUr69evn15tvf3225g6darG9jUxx3ZckigUCrRq1QrTp0+XJa7q62XbfovuT21tbVUeV2ir6P40OzsbERERqF+/vt5tlgSqLtyqSyq35DGYOsb8bKvTpEkTWFlZSd6rUaNGYdeuXahdu7bO/b8sOnXqhBo1auDGjRuFZUuWLNGY+CyEkCU4VKpUCV27djVJnM9FREQgISGhcFlTQsWSJUsk/9P69etj1apVGkfH+fjjj3Hjxg2sXLlS69jKlSsn2YaePHmidV195ObmYsiQIZIbZqZPn4569eqZtF91dL2RS1Ndcx7Lvyyxq2vXkPhLCmdnZ8yaNQsffvgh/v77b2zYsAHHjx9Xe2OfKqdPn0arVq3www8/aBxp09hK4u87Ux/TqUqi6tOnj9bxFa337bff6lV3woQJkhtSMzMzsWbNGo2jTB87dkyWaDhq1CjY2Jj/8mxwcDC6d++OY8eOYf369di+fTvi4+O1rh8fH4+JEydi79692LBhQ4lI3hVCICwsDGFhYbhy5Qru37+PtLQ0pKamqv1cJyYmSpYt/buiZcuWBrVX9HNsrpF2iYiISH9M1CMiIiIilWxsbNCjRw/06NEDSqUSFy9exMmTJxESEoLw8HBERkbKRjgqavXq1cjMzMRff/2lc//lypXT+Q7p5xo2bCgrCwsLU3lBXVWChj4JgsVRd+LzzJkzkmUfHx/Z3eWWpur9mTt3rmz6P11ERUVJltW9P++88w5mzJghGTFg9erV2LNnD4YOHYo+ffoUXuy2JFWjW5SUKWGK/v/i4+MNSgJJT0+XlcXHx2t9IcfBwUE24qU2VF0AKO49VrXdjhs3TjZdkS6KTlWkywUNQPV+SV+bN2/Gr7/+imPHjhk0msGLCbMlWdGpaW1tbfHaa6/p1VZAQAB8fHzw9OlTte1rYq7tuCQpXbo0hgwZgtdff93gtl7W7VfVfkXVSGraUjUKkq77lZJI1f9F3VSPljwGU0ef4zBdP9teXl7o2bOnZErvu3fv4rXXXkOvXr3Qv39/dOnSpcSNsGwM48ePxwcffFC4HB4ejnPnzqFZs2Zq6+zfv182nezo0aNNnjBUdEq6xo0bF7t+0dFZv/rqK62PO+bOnYt169ZpPaqmtbU1PDw8ChMNXvxOM4Uvv/wSV65cKVyuU6cOZs6cadI+n7O1tZW9L1lZWXBxcdGrPVUjxRlyfFgcVUma6kaq04Y5Y1e3305OTtb7N3pJ4+bmhhEjRmDEiBHIzMzE2bNncerUKYSFhSE8PFxj4k5+fn7hSKHmTNYrSb/vzHVMp2rU0EaNGunVV/369WFtba3xXJYqzZs3R6NGjSTxLF26VGOiXtEpcm1sbPQandtYFAoFgoKCEBQUhOXLl+P69es4ceIEQkJCcOHCBVy7dk1j4urevXsRHByMw4cPm2w/pElKSgq+/fZbrF27VucRlIsy5++KBw8eIDo6WlK2b98+gz7HRZNfX4XfFERERK86JuoRERERkUbW1tZo1KiR5GRoZmYmzp07hyNHjuDvv/+WjI7xok2bNqF169aSi3LaqF69ut7x1qhRQ1ambqSJ+/fvy8ouXbqkd9+qvDgaR3Ex1a1b16j9GoOq90fVVIiGUPf+lC1bFt988w0+/PBDSfmTJ0+wcOFCLFy4EB4eHmjZsiWaNWuG5s2bo2XLlnpfuNOXqmn+9D3RW7duXSQlJal9/vr16zqN9lD0/5eRkWGS7VvbqbK9vLz06kPVhc7i3gdV221ERIRefaujbrtVp+j0Ovp48OABBg8eLJmKzxAvS5JY0QsNgYGBBk0dV6tWLckoBrpeyDDXdmxKNWvWlF1UE0IgPT0d9+7dk8X16NEjjBo1qnCkXX0uyL3s22/R/UpeXp7ZjhdeFpmZmSoTENUlnFnyGEwdfT7f+ny2v/32Wxw/flwyootSqcTWrVuxdetWWFtbo0GDBmjRogWaNGmCtm3b6jQyYEk1ZMgQzJgxA2lpaYVlS5YsKTZRr2iCg729PYYPH26yGJ+7deuWZLm44/T09HRcvny5cNnd3V2n0UfLlCmDjh07Ys+ePVrXeXHEclNOmx0aGoqFCxcWLltbW+P33383W2KGk5OTyRP1nJ2d9WpLE1UjgBs7Uc9UsavbF75KiXovcnJyQocOHdChQ4fCsvj4eJw4cQIHDhzA5s2b1SbETp48GS1atDDqTTnFKQm/78x9TFf0vImNjY3K0Wy14ejoiAoVKuDu3bt61Z8wYQKGDRtWuBwREYGjR4+qHT39yZMn2Lp1q6SsZ8+e8PPzU9vH0qVLsXTpUp3i6tmzJ+bMmaNTHeBZ0l7t2rVRu3ZtjBkzBsCzm0nCwsJw9OhRbN68We1NTadOncL06dPx3Xff6dyvoXbs2IHRo0fj8ePHRmnPnL8rVB3/Pn782GivBXj5f1MQERH9F1h26AkiIiIiemk5OTmhffv2mDNnDiIiIrBv3z6103XNnTtXNhqVJoZMoaGqrrrEKXOcwFJ1USUtLU12EVdVwpelWer9eW7y5MlYtGiR2mlhkpOTsWfPHsyaNQtdu3aFp6cn2rRpg59//tlsdxGrmrZS35FNjhw5gosXL6p9FHdCv6isrCyDLgbq0o+2NE3/ZiyW3m5VMXRkpLi4OLRr185oF8QASKawK8mKJq/qMhWXKkX3tTk5OTp9R5lrOzalPXv2yPYvly5dwu3bt5GRkYHjx4/j3XfflY1YtWXLFr2maH8Vtt+SuF8padRdYFQ3vXNJfE/N9fmuXLkyDh48qHK6XuBZ0l5oaCgWL16M9957D4GBgahYsSI++ugjnUcBLUlcXV1l+5BNmzapvUnh/v372L17t6SsX79+KFWqlMlifO7FYzknJye4urqqXffhw4eS0aQaNmyo84jPuk6l/eJvGx8fH53qaisnJwdDhw6V7G+nTJli0LTfuvL29paVqRoBTFtF69rZ2ZnsJh9Tx66uD2MoV66cylErjZlIUtKVKlUKvXv3xq+//oq4uDgsXbpU5e/1/Px8fPHFF2aJqST8vrPEMV3Rczmurq4GjapqyLmmd999V/a5Ky6pbuXKlbLzPmPHji22j0ePHuHSpUs6PYw5daudnR1atGiB6dOnIywsDGfPnkXr1q1VrvvLL78gLi7OaH1r488//0Tfvn2Nuj8y581T5jj+zc7ONnkfREREZBgm6hERERGRUXTt2hUhISEqp8V78uQJdu7cqVN7howOoKruiyN3vKi40ctMKTU1VVZm7pHgtGGp9+dFH3/8Ma5evYqBAwdqHEUrPz8fJ0+exAcffICAgAB88sknyMjIMGl8qqbJUzU9j7mVhP+dpZTE164u2VRbQ4cOlU0bDTybvmn69OnYtm0bLly4gEePHiE1NRW5ubkQQkges2bNMigGSym6/zZ09BhdviP+i2xtbdGmTRts2LABmzZtko2atGnTJnz//fc6tfkqbL8lcb9S0pw/f15WZm1tjQoVKqhc/7/+njZo0ABXr17FggUL1CYzvig6Ohr/+9//0KhRI3Tq1AkXL140fZAm8HyqyOeysrKwevVqlesuX75cNj2hpgQHY3nx+FFTsv2LIyMC+o2iq8soZQkJCZJEGlMlLv7444+SKYCrVq2KL7/80iR9qaPqfVE1GpE2lEolHj58qLF9YzFm7ABw7949rfowBjs7OwQGBsrKQ0NDTdJfSWdra4vRo0fj4sWLKkc33b17t2zqSVMoCd+bljimM8dvAW05ODhgxIgRkrKtW7eqTBorKCjA8uXLJWVVq1ZFx44d9e7fEpo1a4ajR4/KXjfwLKF77dq1Zovl9u3bGD58uOzYwNbWFr1798b333+PgwcPIjIyEomJicjIyEBBQYFsG7TkKMUl4XNMRERElsepb4mIiIjIaBwdHbFx40ZUrlxZNprZoUOH8O6772rdliHJVarqqhsFw9HRUVaWlZVl0LSK2lB1wc+QERZMRdX7s3fvXnTr1s2scVSvXh3r1q3DL7/8gt27d+PIkSM4efIkIiMjIYRQWSczMxPffvstdu7ciX///ddkJ2NfnBL6uStXriArK0vl+2cuqvpu1qwZzp49a4FozEvVa4+IiFA5LfbLYPfu3Th48KCkzNfXF2vXrkWXLl20budlHa3L1dVVMpKGocm3unxH/Nf169cPqampsgtzM2bMQHBwMKpVq6axjVdl+3V0dJSMtlG6dGmzXJR/mZw5c0ZWVqtWLbXHVJY6BitJnJycMHXqVHzyySeFUyweP34cISEhxW7zhw4dQrNmzbB8+XIMGTLEjBEbrmbNmujQoYNkNKalS5di8uTJkhGS8vPzsWLFCkndunXrolWrVmaL9TldR8cztZCQEMmyqptGjOHBgweS5bS0NLRo0ULr+qqmwg4NDUX9+vVl5eoSTytWrIhTp05JymJiYtCmTRut43juwYMHspG71I1qaQwVKlSAlZWVZLTFe/fuoaCgQK9tStWIWaaMv1GjRrLpQVUlZP+XVKhQAX/++afK/dChQ4cwcOBAk/Zv6d93ljqmK3qcborfAroYN24cvv3228LPdl5eHlauXIkZM2ZI1tu7dy+io6MlZaNHjzZoNEBLsba2xrJly3D69GlERERInjt06BCmTZtmljimTZsmmw69W7du+P3331G2bFmt27Hk7wpVn+NPP/0U8+fPt0A0REREZCkl6ywDEREREb303NzcMHToUFl5ZGSkTu2kpKToHYOquuqmSlQ1AkXRUTFMwdXVVTa9Wkm8s9ZS74867u7uGDBgAH777TdEREQgISEB//zzDz799FPUrVtXZZ2bN28iODhY5cVCY2jVqhWsra0lZfn5+bKLiubm4eEhG8XNkv87cypp262hNmzYIFm2trbGrl27dLogBry870HRacbUTWWuraL17e3t4eTkZFCbr7Lhw4ejT58+krLs7GxMmjRJq/qvyvZbdL9SEr+zLe3QoUOysuKSql61fbUhFAoF2rZti6+++grHjh1DamoqQkJC8L///Q/du3dXeVE3NzcXI0aMwPHjxy0QsWGKjqp38+ZN2TSK27dvl41+NmbMGJPH9tyLIy5pupmm6PfUi9PmakuXOjt27Cj829bWFm3bttW5P33oOh1j0WQO4FmCjKp11alevbqsTNVoXtq4ffu2rMyUN3HY2dnJEuny8vL0nqLS3PEHBQXJyo4fPy4byeq/pmXLlmjcuLGsXNfzHfqw9O87Sx3TFT2Xk5aWpvZmPW0Ycq4JAAICAtCjRw9J2fLlyyVJuQCwZMkSybKDgwOGDRumsf3Zs2fLRoDT9FA3Mq0xWVtbY/z48bJyc2z7wLPvj127dknKGjZsiJ07d+qUpAdY9jiex79EREQEMFGPiIiIiEygadOmsrKiI+xpcvPmTb37V3WiUN0UVKqmC4qJidG7b12UKVNGsnzlyhWz9KsLS74/2vD09ERwcDDmz5+Py5cvIzIyEmPHjpUlzl27dg0rV640SQxeXl5o3bq1rLzoNDfmplAo4OPjIymLi4uTjSTyKirp262uDhw4IFnu1q2byv2sJnfu3DFWSGZVdDu+e/eubCQFXVy/fl2ybKopA18lixcvliUz7tu3T5ZYo8qrsv0W3a/k5ubKkoj+yw4dOoSrV6/Kyt944w21dV61fbUx2djYoHHjxvjwww+xe/duPHnyBEuXLoWfn59kPaVSiU8++cRCUeqvZ8+esul+ly5dWuyyi4sLBg8ebPLYnvPy8ir8OzU1tdhkPT8/P8kIaRcuXJAlbGii7ZSiKSkp+PPPPwuXmzdvDhcXF536epmoGrla1eid2jh9+rSsrGHDhnq1pS1Txm9tbY3XXntNr7a08cYbb8hG/nr48CF27txpsj5fFsY436EPS/++s9QxXdFzOfn5+SoTV7WRlZWld7Lsi4omnMfExGDv3r1qlwHg7bfflny3vIwste0DzxKFi/4GnD59uuwGWE3u3bsnGSXb3Hj8S0RERAAT9YiIiIjIBNzd3WVlRe/81uT+/ft48uSJXv2HhYXJylRdJAGeTRVTlLlGJik6ddTTp08NSlA0BUu+P/qoVq0afv31V/zxxx+y57Zs2WKyflXdGa9qJBhzK/r/y8zMVPn5eNW8bNttcXJycmT7Qn2me1MqlS/tdGVFL6Ln5+ernSJPk9jYWNn7qe77gf6Pn58fpkyZIiufOXNmsfVepe33VdqvmMJ3330nKytTpgw6deqktg7fU+25uLhg9OjRuHDhgizB7fz587h3756FItOPtbW1bHS8F4+bVI2wN3DgQLNOU16pUiXJcnEjBrm4uKBOnTqFy8nJyfj333+17ishIUE2naQ606dPR2pqauHyuHHjtO7nZdSiRQvZDThnzpzRa1S3kydPyspMPRqhqu88VXFo8vjxY9y6dUtS1qhRI5OOCFyhQgV07NhRVv7rr7+arM+XhTHOd+jLUr/vLHlMp+pYXd/XfPHiRaOMCtmpUyfZiJ8vjqCnaoS9sWPHGtyvpVly21d1rKPPNqhvsrSxVKlSRZawefr06f/8aKVERET/NUzUIyIiIiKje/z4saxM1V2jmmzfvl3nOgUFBZLpoIBnU4zUr19f5fqdO3eWlW3dulXnfvWhajqhtWvXmqVvbdWrV092B/vx48eRkJBgoYi0M2DAANn//PLlyybr75133pGNkJiXl4fJkyebrE9tWHL7tqT27dvLLhj8888/Fr1zXl+qPmv6jMSwZ88ejVP3qVP0vTT3RYSWLVvKyjZv3qxXW3///bdW7ZPcxx9/LJt67OzZs9izZ4/aOq/S9vtf3Z9q4/fff5eNGgM8SyCys7NTW4/vqe5Kly6Njz76SFZuilGZVV14N+b+f9SoUbC3ty9czs/Px4oVKwA8G02v6LSG5k5wKDqlqKYL+0W351mzZmk9ytWcOXOQlZWlcb1169ZJRhqsW7cu3nnnHa360McPP/yg8/SLLz7u3r0ra7Ndu3Yq11XHw8MDzZs3l5SlpaXplAgJPJtW8MiRI5KyChUqoGbNmjq1o6uuXbvKynbs2KHzCGiqbjjq1q2b3nFpS9VvmYMHD5r0BqiXgT7nO4omnL5sxyOWPKYrug8AgG3btuncN2C890qhUMgSpffu3YuYmBjk5eXJRvOvX7++ytfxstFn2zfWsbiqkfv02Qb/+usvvfo31nGRlZWVLAk6PT1d5+81IiIierkxUY+IiIiIjE7VVHiVK1fWuZ3nF+t0sXfvXty/f19S1rFjR7XTYdSqVQtVq1aVlJ0/f16r6fwM1aNHD9nJvmXLlklGybA0hUKBnj17SsoyMzPx448/Wigi7RW9wJqSkmKyvhwcHPDll1/Kyjdt2oTVq1ebrF9NgoODZReFli5diuTkZMsEZCZubm6yRNj79++XuERYbTg7O8vK9Jle6H//+5/eMRQdwUjfhCl9dezYUbYdr127FhkZGTq1k5+fj99++01W3qVLF4Pi+69wd3dXOarerFmz1NZ5lbbfdu3ayUYR2bJli2yEo/+a8+fPY/z48bJyPz8/fPjhh8XWteQx2Mus6PENYJpjHFWj1xlz/+/j44O3335bUvbbb78hIyMDa9askZS3aNHCpFN8qvLaa69J9mGaRrwbM2aMZPrb8+fPY9SoURov4q9cuRKLFy8udh0hBL7//nsMGzasMKnNxsYGixcvlk1N+ip69913ZWXLli3TqY01a9YgOztbUta/f3+D4tJG1apVZaOBxcXF4Z9//tGpHVWv1xzxBwcHo3Xr1rLy0aNHG33k8A0bNuDBgwdGbdNUiiZ9AprPdxjreMRSv+8seUxXoUIF1KpVS1K2Y8cOnWdgyMrKwrp163TuX52hQ4dKph4vKCjA8uXLsW3bNllC26swmh6g37k+Y237xtgGb9++LbuxV1vGPC7q1auXrGzevHl6tUVEREQvJybqERERERF27dqlcsQDfdy+fRubNm2SlQcHB+vcVkhIiE6JNXl5efj4449l5UWn1ipK1dR9I0eORGJiotZ968Pf3x8DBgyQlD19+rTEncSdNm2aLKFwwYIFOHfunIUi0k7Ri0c+Pj4m7W/kyJEqL2SNGTMGGzduNGnf6gQEBGDw4MGSstTUVMmF3lfVZ599Jiv7+OOPcefOHQtEoz93d3fZtGa63m2/YsUKHD16VO8YPD09Jcvmfg/9/PzQu3dvSdnjx49VJscW54cffpBNXdiqVSs0aNDA4Bj/KyZNmiQbuSI0NBQ7d+5Uuf6rtP06OzvLEs+USiUGDRqEnJwcveN7ma1YsQJBQUGy5BeFQoGlS5dKLl6rY6ljsJeZquQYUxzjFP3sAMbf/0+YMEGyfO/ePQwZMkT2/7fEsbGNjY3kuG7fvn1ISkpSu36VKlUwaNAgSdnq1avRokUL7N69W7KfEEIgPDwcAwcOxMiRI9Uek6WlpeGvv/5C8+bNMWXKFMkobL/88gvatWun78t7qQwaNEiWILFr1y6cPn1aq/qJiYlYtGiRpMza2hqjRo0yWozFUbX9zpo1S+uRnjdu3CgbGTwoKEhl0q4pLFu2DA4ODpKyhIQEdOzY0SjTbufm5uLjjz/GgAEDkJuba3B7qqxevdpoN8Nt2LBBdu7ExsZG5eiJLzLW8Yilft9Z+piu6Dmd7OxsTJ06Vac2vv76azx69Eiv/lVxc3OT/S9UJV+7ublh4MCBRutXF0ePHjXazAKJiYmSUV2f03Sur+i2n5ycXOz3qTply5aVlemyDRYUFGD48OF6j+hnzOOid955B1WqVJGUnThxAt9//71e7REREdFLSBARERHRf97o0aOFjY2NGDp0qIiIiNC7nbi4OFG3bl0BQPLw8fERWVlZxdYNCAiQ1QMg3NzcRFhYmMa+CwoKxODBg2X1q1SpIpRKZbF18/PzRY0aNWR1mzVrJuLi4nR6D55LSUkRCxYsEGvXri12vYiICGFrayvr+8MPPxQFBQU69Zmfny9iY2OLXWfIkCGSfgICArRqe9SoUbIYS5cuLU6dOqVTjC/GumHDBjFjxgy160yZMkVcu3ZNr/bDwsKElZWVJN7u3bvr1ZYuoqOjha+vr+y9UigU4rPPPhOZmZl6t52bmyv8/PxkbWty584dYW9vL6s3cuRIkZ2drVcsd+/eFRMmTBBXrlwpdj19t7eijhw5Iov/yJEjGut17txZVq9q1ari+vXresWRlZUlli5dKr777juTxKtOly5dZO3t3r1bq7p79+4Vjo6OKvev2p4SmDhxoqSOlZWVxn1NcYrGMGvWLI11Tp06JatnZWUlNmzYoFWfe/fuFXZ2drI2tm7dqrGupbdjQ7Vr107W7927d/Vu7+uvv5a116BBA7XfWa/S9puSkiJKlSoli6NHjx4iOTlZrzYfP34sZs6cKf7991+96mtL1fY3ZMgQvdo6fPiwCA4OVvt/0eYz/Zwlj8FWrVpltM+GLu/BqlWrxObNm0V+fr7O/eTm5oomTZrItumHDx8W258+r/PChQuyenPnztU5Zk2Kvp6iD29vb42/I0zlt99+k8Si6fs/KSlJVKhQQeXrcHBwEJUqVRI1atQQHh4esueHDx8uWfbw8JAdywIQ1tbWYuHChWZ6Bwxz9+5dWfzt2rXTq61p06bJ2qpWrZpITEwstp5SqRRvvfWWrO7gwYMNeh3afgcJIUROTo7K37off/yxVn17e3vL6h46dEjr/o1h+fLlKt+DcuXKiaNHj+rd7sGDB0Xt2rWNcnxSnOrVqwtPT08xe/ZsER8fr3c7J06cEO7u7iqPAzTp2bOnpI67u7tIT0/XKw5L/b6z5DFdcnKyyn3nkiVLtOp/69atwsbGRmXf+u6XhBDi2rVrxX6HARDjxo3Tu31DzZs3TygUCvHmm2+K8+fP691OSkqKaN++vey12dvbi/v37xdbd+vWrbJ669at0zmGBw8eyNqpUqWKSElJ0VhXqVSKkSNHqv0faXNMXFBQIPv8d+rUSefX8dz69etlcdjY2IilS5fq3eapU6dE//799a5PRERE5sNEPSIiIiISo0ePlpwcatasmVi8eLF48OCBVvUzMjLEkiVLVCYoARCrV6/W2EbRixcODg6Ff3t6ehZ7sfXBgweiV69esn4VCoU4fPiwVq/hypUrwtXVVdaGr6+v+OWXX7S6QJiXlycOHDggRo0aVXgCb9GiRRrr/fTTTyrft/bt24uQkBCN9R88eCB++OEHUalSJY0Xx/VNOElLS1OZhGlrayumTp1a7AXiF128eFHMnDlTBAYGCgAiODhY7brP38NOnTqJ5cuXi8ePH2vVx65du1Rui3/++adW9Q0VEhKi8gIO8Cy58bvvvhOPHj3Sur2HDx+Kn376Se2FX22sXr1aZd369euLXbt2aZUUmpqaKtavXy969eolrK2tBQCN26elE5zi4uJUJje6uLiIb775RqvEmoKCAnHq1CkxefJkUbp0aQFAjB8/3iTxqrNixQqVr+Hvv/9WWyczM1N8+eWXkuQ0Nzc3vbafjRs3yuo1a9ZMq/2TKkXb0japZ+zYsSovZsyaNUvk5OSorJOfny++/fZbyXfK80fv3r216tfS27GhjJ2ol5aWpjJZbcuWLSrXf9W234MHD6q80Fu5cmWxbt06kZeXp7GNrKwssX37djFw4MDCbbO498MYDEnUu3fvntiyZYuYOnWqJKFC1eOzzz7TOTZLHYNZKlFv0qRJAoAIDAwUM2fO1OqGFCGe3QzQrVs3WV9dunQptp6+rzM3N1f2uXN2dharVq0y6MaDotasWVPsNvXRRx8ZrS9dJSUlSb4//Pz8NG6PERERonz58sW+pqKPN998U+Tm5mpcr2zZsgYlRZmbMRP10tLSVL6vNWrUUHujWWJiosrfiG5ubjolAhuaqCeEENu2bVPZxrhx49R+nk6dOiXKlCkjq9OvXz+d+jaWGTNmqN02u3fvLk6dOqXxBjkhnn3H//XXX6J169ZGPT4pTvXq1Qv7sLW1FT179hR///23SEtL06r+o0ePxCeffKLypg87OzsRGRmpsY358+fL6gYHB+t9A5Elft9Z+phO1feZQqEQn376qdp9c15envjmm28k/RdNGDQkUU8IoTKB7cWHppvbTGnevHmSWGrXri3mz58v7ty5o1X93NxcsWHDBlGxYkWVr2327Nka23jw4IEs8bx06dJi+/btIjc3V6fXo2q/0bx5cxEdHa22zo0bNyQ38NnY2AgnJydJG9oeE6s6Dps2bZrW56qKGjZsmMr3tU+fPuLSpUtatXHv3j3xww8/iGbNmgng2bEaERERlXwKIV7x+Y6IiIiISKMxY8Zg2bJlKp8LDAxEs2bNUKtWLZQqVQre3t5QKBRITU1FTEwMLl26hMOHDyMjI0Nl/bfffht//fWXxhgCAwMRExNTuDxgwABcu3YNly5dKiyrUaMGevfujcqVK8PFxQWPHj3CyZMnsXv3bmRlZcnanDhxIn788UeNfT+3a9cu9OnTRzKt1HMeHh5o164dmjVrBl9fX7i7uyMjIwPJycmIjY1FWFgYwsPDZVPqLFq0SOV0vEUNHjwY69atU/lcvXr10LlzZ1SqVAmlSpVCXl4ekpKSEBERgdDQUISGhqKgoADAs2mUZs+erbafoUOHYs2aNYXLAQEBiI6O1hgfAERHR6N58+Z4/Pix7Dk7Ozu0aNECbdq0Qfny5eHl5YXc3FwkJyfj0aNHuHjxIsLCwmTTtQUHB+Off/5R2Z+HhwdSUlIKl62srFC7dm00aNAAtWrVgre3Nzw8PKBUKpGYmIiIiAgcOHAAN27ckLXVpk0bHD16FFZWVlq9VkNdunQJwcHBiIuLU7tO7dq10bZtW5QvXx7e3t7w8vKCUqlEeno6EhISEBkZicuXL+PChQtqpzHy9/dHbGysVjFNmzYNCxYsUPlchQoV0L59e7z22mvw9vaGk5MTUlJSkJycjJs3byIsLAxXrlyRTUcVEhKCxo0bq+3TkO3tRUePHkX79u0lZUeOHEFQUJDGuqGhoQgKClK5j3J2dkbr1q3RsmVLlC1bFp6ensjKykJycjIePHiACxcuICwsDAkJCZJ648ePx88//2ySeFXJy8tDzZo1cfv2bdlzDRs2xBtvvIEqVarA1tYWT548QVhYGP755x9J3LVr10aPHj1k24A2pwSys7NRrlw5lVNRurq6ws/PTzYlGgBcvHhRZXsKhUKyrGm/9VxWVhaaNm2Kq1evyp7z9fVF7969Ua9ePZQqVQpJSUm4fv06tm7divv378vW9/f3x8WLF2XTuKpSErZjQwQFBeHYsWOSsrt37yIwMFDvNhcuXIhPP/1UUla3bl1cunRJ9v991bZfAFiyZAnGjRun8rnSpUsjKCgIjRo1go+PD1xcXJCWlobk5GTcuXMHYWFhuHjxouy45e+//0a/fv00vh59qdr+PD09UaFCBdm6Qgikp6cjOTkZKSkpWk0R5u3tjWXLlqFv3756xWeJY7DVq1dj2LBhkjJ9Pxu67NcmT54sOz4tW7YsGjZsiPr168PPzw8eHh6ws7NDeno6oqOjcfr0aRw9elQ2Vaa9vT1CQ0NRp04dtbEZ8jrHjx+PX3/9VVZubW0Nf39/uLq6yo6t5syZg549e2ps+7mcnByUL18e8fHxsucUCgVu3rwpmx7OnIr+Tvriiy80Tr0eGxuLsWPHYs+ePcWuZ29vj5kzZ2LmzJmwsrKSbUfPBQQEYMqUKRg5cqRs6smSLDo6GhUrVpSUtWvXTu+pL0+cOIEOHTrI9hNWVlZ444030KZNG5QrVw7x8fG4dOkSNmzYoPL4T9f9rarXAWj3HfQidb+5vb29MWjQINSsWROurq6IjY3F/v37Vb5PAQEBuHDhglbHL6bwzTff4LPPPlP72r28vNCpU6fCcwelSpUCAMl34JkzZ5CZmamyvqHHJ+rUqFEDkZGRsnJra2vUrl0bzZo1Q6VKleDt7Q1PT0/k5uYiJSUFt27dQmhoKE6dOlX4e7uoX375Re0xwYsePnyIChUqqPye8/T0ROnSpWFvby8p9/PzK3Y/Yu7fd5Y+pgOAXr16YefOnbLyUqVKoU+fPnjttdcKfwtcu3YNW7ZswYMHDwrX69GjB9LS0iTHxobslwBgy5YtavcprVu3xokTJ/Ru21Dz58/H9OnTVT5XtmxZNGvWrPD3k7e3N2xtbZGWloa4uDhcvnwZhw4dUjtNbZs2bXDgwAHZdqtKcHCwym3Zzs4O/v7+cHZ2ln0HrlixQrYtHj58GB07dlTZTq9evdC6dWuUKVMG2dnZiIuLw4EDB3DixAnJ527OnDlYuXKl5PzjkCFDsHr1ao2v4++//8bbb7+t8rmyZcvCy8sLNjY2kvKePXtizpw5Kuvk5uaiU6dOareR1157De3atUPVqlXh7e0NKysrJCcnIyEhAVevXkVYWBhu3bol+fw4OzsjPT1d42shIiIiC7NUhiARERERlRxFR9Qz1mPIkCFaT+tVdES9IUOGiDt37hSOYKXrY9CgQVrd0V/UsWPHVI5coO9DmxH1hHg2FcdHH31kcH+mGlHvudjY2MI7dY3x0GZEPUMfderU0Xv6PEPEx8eLPn36mOSz5erqKr7++mudp4L7+eefVY4Eoe+jpI+o99yVK1dEtWrVjPa6zT2inhDPpiAseue/to9y5cqJu3fvilmzZsme05a6UTuKe6hTdD1dpsl88uSJaNq0qUH/v5o1a4qYmBit+ywp27G+jD2inhBCpKenqxy59K+//lK5/qu0/T63efNmlaPA6fuwxIh6xng4OzuLyZMni4SEBINjNPcxmKVH1DP0YW9vLzZt2qQxNkNe58OHD3X+n6xatUq7N+0FqqY1BSA6d+6sc1vGFhUVJWxtbSXv+8WLF7Wqe/ToUTF27FhRq1Yt4eHhIRwcHERgYKBo3769+PHHH2UjLDs4OAg/Pz9Rp04d0aNHDzF//nxx+vRpvaZJLgmMOaLec5s2bVI7faWmh0KhED/++KNRXoc23xNF5eXlib59++r9mS9btqxWI7eZ2r59+1SOWG3Iw9HRUUybNk3vaVs1eXFEPWM9bGxstJ529bnZs2fr1Ic2x5zm/n1n6WO6zMxM0aFDB736r1GjhkhMTJQdGxu6X8rPz1c7kur69esNattQRUfUM9ajS5cuIiMjQ+s4rl27JpydnXXqQ93vJHXHDNo8Bg0aJAoKClSef9SGUqkUHTt21KlPTW1nZWWJ4cOHG+1/wxH1iIiIXg7mGU6CiIiIiEq0wYMHY+DAgfDw8DBKe5UqVcKOHTuwevVqWFtb691OxYoVceLECdSsWVPrOjY2Nvj000+xevVqvUZPa9u2LS5cuIBBgwYZFLtCoUD79u3Rpk0brda3srLCt99+i40bN+o9ioBCoYCPj49edbXl7++P48eP4/PPP4e7u7tBbdWsWRPvvPOO2ufLlCljUPsKhQJDhgzByZMn4efnZ1Bb+vD29saWLVtw4MABtGzZ0ihtVq5cGbNnz0ZUVBRmzJihchSo4owfPx4nTpxA69atDYrD0dER7777rsqRmEqiOnXqICQkBBMmTND5PSuqSZMmCA4ONlJk2mvQoAH279+PsmXL6lSvefPmOHv2rMGjkwwZMgQrVqyAq6urQe0YysfHB0eOHMGYMWNkoxVoolAoMGDAAJw6deql2XZLKmdnZ0ydOlVW/uWXX6occeZV3H779u2L0NBQ9OjRw6B2bGxs0KNHD9SrV89IkZmetbU12rZti8WLF+PevXv4/vvvjTK6k6WOwczN19dX7chp2qpTpw4OHz6Mt956y0hRqVamTBkcPnwYjRo1Mmk/Y8eOVfk/Hzt2rEn71UblypUxadKkwuWcnBz069cPycnJGuu2a9cOv/76K65du4akpCRkZWXh7t27OHz4MCZOnIjSpUtL1s/KykJcXByuXLmCXbt24dNPP0WLFi0M+jy8at566y0cOnQI/v7+OtV7flw+ceJEE0WmmY2NDTZt2oTPP/9c52OYtm3bIiQkBNWqVTNRdNrr2rUrIiMjMXPmTIPPH7i4uOD999/HzZs3MW/ePK1G5tLHZ599hq5du8LOzs4o7QUFBSE8PBxjxozRqd7nn3+Or7/+2mhxAOb/fWfpYzpHR0fs2rULw4cP16le69atcfz4cXh6ehrUvyrW1tYqtwUfHx+TjpasjR49emDUqFGy7xt9+fr64vfff8e+fft0GuG1Vq1aOHDggFFGyH0+sqcux1LW1taYMWMG1qxZY9AxmJWVFTZv3owBAwbo3UZRDg4OWLlyJdatW4dKlSoZ1Javr69WI3wSERFRCWDpTEEiIiIiKjlyc3PFoUOHxBdffCE6dOggXFxctL5rs3Tp0mLgwIFi9+7dIi8vT+e+i7ujNTs7WyxcuFBUqFBBbf8ODg6iT58+Wo9woY07d+6IyZMni5o1a2r1Hri6uooePXqIH374QURHR+vdb25urli2bJlo166dVnfH16tXT0yfPl3cvHlTY9vGGhlKCCGSk5PF/PnzRYsWLbQa2cLW1la0atVKzJo1S+Od+s+FhYWJr776SnTu3Fm4ublp9X/w9fUV48aNE+Hh4Xq/NlMIDw8X06ZNE3Xr1hVWVlZavRZHR0fRokULMXnyZHHixAmjxnPixAkxcOBArUfE8PPzE4MHDxZ//PGHSE5O1qqPkjgS2aNHj8Rnn30mGjRooNX/wdHRUXTs2FHMmzdPXL9+3ezxFvXkyRMxdepU4eHhUWzcjRs3FmvWrJGMLGrI6BXPpaamilWrVonBgweLBg0aCF9fX+Ho6KgyBnWKrqfLiHovunHjhhg+fLjG0Z68vLxE//79xYULF/TqpyRux7owxYh6Qjwb0UTVe1/cyCGvwvaryqVLl8SoUaNExYoVtdqfent7i379+olly5aJx48f6/w69KHLiHrW1tbCyclJeHt7i+rVq4u2bduKoUOHivnz54v9+/eLtLQ0k8drjmMwS42oJ8Sz76KVK1eKgQMHar3d2Nraitdff12sX79epxHWjPE6CwoKxLFjx8TkyZNF+/btRfny5YWbm5uwtraWta3PiHoFBQWy45Fy5crp9ZvCFNLS0mT/p1atWuk0mtB/kSlG1HsuIyNDLFq0SFSpUqXYz025cuXE559/LhITE436OvT5DnpRRESEGDp0aLG/txUKhWjVqpVWI2daSnp6uli1apUIDg7W6bdaz549xdq1a83+GUpJSRGbN28WkyZNEo0aNdJ6dEaFQiGqVKkipkyZIkJDQw2O4+nTp+Lnn38W77zzjqhTp44oVaqUcHBwkPWr6zGnOX7fPWfpYzohno1a2rVr12L/j7Vq1RIrVqyQ9G/sEfWEeDbSZNG+P/30U4PbNRalUilOnz4tvvnmG9G9e3fh6emp9XGhp6en6N27t9i0aZPOI/oXlZ+fL/bs2SPGjRsnWrduLfz8/ISLi4vK3+WafiedOnVKvP7668X+pndychIDBgyQnSfUd0S9F924cUPMnj1b9OjRQ1SuXFl4enpKRuDVp+38/Hyxfv168frrr2s9cnetWrXExIkTxZ49e0rMcRMRERFpphDihcnriYiIiIheIIRAXFwcbt26hdjYWKSmpiItLQ0KhQJubm5wdXVF2bJlUa9ePYPv0A0MDERMTEzh8pAhQ7B69WrZelevXsWlS5fw4MED5OXlwdfXF+XLl0erVq1MOtLT48ePceHCBcTHxyMhIQHp6elwdnaGm5sbypUrhxo1aiAgIMDgEVKKysjIwLlz5/Dw4UPEx8cjLS0Nzs7O8PDwQJUqVVCrVi14e3sbtU994wwJCcHDhw+RkJCA5ORkODg4wNXVFb6+vqhevTqqVq0KW1tbvfsoKChAdHQ0bt++jZiYGKSmpiIzMxP29vZwc3Mr3BYNvUvfHNLT03Ht2jVER0fj8ePHyMjIgFKphLu7Ozw8PODh4YGAgADUqlVL5xE39HHz5k1EREQgISEBCQkJyMvLg6urK9zc3FCxYkXUqFEDvr6+Jo/D3JKSkhAaGoonT54gISEBqampcHJyKty3Va9eHZUqVSqRI9kolUqEhobi2rVriI+PR35+PlxdXVGxYkU0btzY4BEpXyZCCFy6dAlRUVF48uQJkpOT4ebmBh8fn8L3Q58RVsl0XuXtNzY2FpcvXy48XsjOzoaLiwvc3NxQoUIF1KhRA+XKlbN0mC8VSx2DmVNCQgJu3bqFO3fuID4+Hunp6QAAV1dXeHl5oWbNmqhdu7bJRpuytH///Rddu3aVlM2ePRuzZs2yUERyoaGhaNWqFXJzcwvLWrVqhZ07dxplREnS382bN3Hx4kXcu3cPmZmZcHBwgJ+fH+rVq4e6detaOrxi5ebmIiQkBBEREYXfh25ubqhUqRKaNm36Uh1/FxQUIDIyElFRUbh37x7S09ORk5MDV1dXeHp6wtvbG3Xr1kVAQIClQy2Un5+Pu3fv4tatW3j48CFSU1ORkZEBe3v7wt9CgYGBqFu3rsVHldaVuX7flYRjuoSEBJw+fRoPHjxAfHw8HBwc4O/vj0aNGqFy5com7x8ABgwYgA0bNhQuW1lZISoqChUrVjRL//p4/Pgxbt26hbt37yIlJQVpaWkQQsDV1RWurq4oXbo06tSpo/MIpuaWnJyMkydPIjY2FklJSbCxsUGpUqVQvXp1NGnS5KU9dsrPz0d4eDhiYmKQkJCAxMREWFlZFe5Tq1atiho1asDFxcXSoRIREZEemKhHRERERCWCtol6RERERET06ujbty+2bt1auGxjY4Po6OgSl9S6Zs0aDBs2DC+eTq9WrRo2btyIBg0aGL2/devW4cmTJ5gyZYrR2yYiIuN4+vQp/P39kZOTU1jWrVs37N2714JREREREVFJxlvKiYiIiIiIiIiIiMjs7t27hx07dkjKevXqVeKS9IBnNxJ9//33krKbN2+iefPmmDVrFjIzM43ST3R0NF5//XUMHjwYH3/8sSSJkYiISpbffvtNkqQHAOPHj7dQNERERET0MmCiHhERERERERERERGZ3fz586FUKiVlkyZNslA0mk2aNAm///47bGxsCstyc3MxZ84cVK1aFQsWLEBiYqJebZ87dw4DBgxAtWrVsG/fPgDPpncfPHgwbty4YZT4iYjIeDIyMvDDDz9IyqpUqYLu3btbJiAiIiIieikwUY+IiIiIiIiIiIiIzOrChQtYvny5pKxx48Zo06aNhSLSzrBhw/Dvv/+ibNmykvIHDx5g2rRpKFOmDIKDg7F48WKEhYWpHWkvKSkJhw8fxqxZs9CgQQM0b94cGzZsQF5eXuE6CoUCEydORNWqVU36moiISHdffPEFnj59KimbPHkyrKx46ZWIiIiI1FMIIYSlgyAiIiIiCgwMRExMTOHykCFDsHr1assFRERERERERieEwObNmzFp0iQ8fPhQ8tz+/fvRpUsXC0Wmm/j4eHzwwQfYuHGjxnV9fX3h7u4OBwcHZGdn4+nTp0hOTi62To0aNbBs2TK0bdvWSBETEZExJCYm4ptvvsF3330nKQ8ICMDNmzdhZ2dnociIiIiI6GVgo3kVIiIiIiIiIiIiIiLd7dy5E1988QUAIDs7GzExMcjOzpatFxwc/NIk6QFAqVKlsGHDBowdOxYzZ87EyZMn1a775MkTPHnyRKt2y5QpgxkzZmD06NFM9iAiKgFGjhyJ0NBQAM+StB88eABVY6B8++233G8TERERkUZM1CMiIiIiIiIiIiIik0hMTMSlS5eKXadMmTL47bffzBSRcbVt2xYnTpzA2bNn8dtvv2Hbtm1ISkrSqQ0rKyu0bt0aI0eOxNtvvw17e3sTRUtERLqKiorS+D323nvvoV+/fmaKiIiIiIheZkzUIyIiIiIiIiIiIiKLqFy5Mnbs2IGyZctaOhSDNG/eHM2bN8fSpUtx9uxZnDx5EuHh4YiKikJcXBzS0tKQk5MDR0dHeHp6olKlSqhTpw5atmyJTp06oXTp0pZ+CUREpIdBgwZhxYoVlg6DiIiIiF4STNQjIiIiIiIiIiIiIrOwsbGBl5cX6tWrh969e2Po0KFwcnKydFhGY2trizZt2qBNmzaWDoWIiEzA0dER5cqVQ4sWLTB8+HAEBQVZOiQiIiIieokohBDC0kEQERERERERERERERERERERERERvaqsLB0AERERERERERERERERERERERER0auMiXpEREREREREREREREREREREREREJsREPSIiIiIiIiIiIiIiIiIiIiIiIiITYqIeERERERERERERERERERERERERkQkxUY+IiIiIiIiIiIiIiIiIiIiIiIjIhJioR0RERERERERERERERERERERERGRCTNQjIiIiIiIiIiIiIiIiIiIiIiIiMiEm6hERERERERERERERERERERERERGZEBP1iIiIiIiIiIiIiIiIiIiIiIiIiEyIiXpEREREREREREREREREREREREREJsREPSIiIiIiIiIiIiIiIiIiIiIiIiITsrF0AETGlpycjGPHjhUu+/v7w97e3oIRERERERERERERERERERERERGRJeXk5ODevXuFy+3atYOHh4fZ+meiHr1yjh07hjfffNPSYRARERERERERERERERERERERUQm1fft29OrVy2z9cepbIiIiIiIiIiIiIiIiIiIiIiIiIhNioh4RERERERERERERERERERERERGRCXHqW3rl+Pv7S5a3b9+OKlWqWCgaUic9PR3nz58vXG7atClcXFwsGBER0X8D979ERJbDfTARkWVw/0tEZBnc/xIRWQb3v0RElsN9cMkXFRWFN998s3C5aI6RqTFRj1459vb2kuUqVaqgdu3aFoqG1ElNTcWjR48Kl2vWrAk3NzcLRkRE9N/A/S8RkeVwH0xEZBnc/xIRWQb3v0RElsH9LxGR5XAf/PIpmmNkapz6loiIiIiIiIiIiIiIiIiIiIiIiMiEmKhHREREREREREREREREREREREREZEJM1CMiIiIiIiIiIiIiIiIiIiIiIiIyISbqEREREREREREREREREREREREREZkQE/WIiIiIiIiIiIiIiIiIiIiIiIiITIiJekREREREREREREREREREREREREQmxEQ9IiIiIiIiIiIiIiIiIiIiIiIiIhNioh4RERERERERERERERERERERERGRCTFRj4iIiIiIiIiIiIiIiIiIiIiIiMiEmKhHREREREREREREREREREREREREZEJM1CMiIiIiIiIiIiIiIiIiIiIiIiIyISbqEREREREREREREREREREREREREZkQE/WIiIiIiIiIiIiIiIiIiIiIiIiITIiJekREREREREREREREREREREREREQmxEQ9IiIiIiIiIiIiIiIiIiIiIiIiIhNioh4RERERERERERERERERERERERGRCTFRj4iIiIiIiIiIiIiIiIiIiIiIiMiEmKhHREREREREREREREREREREREREZEJM1CMiIiIiIiIiIiIiIiIiIiIiIiIyISbqEREREREREREREREREREREREREZkQE/WIiIiIiIiIiIiIiIiIiIiIiIiITIiJekREREREREREREREREREREREREQmxEQ9IiIiIiIiIiIiIiIiIiIiIiIiIhNioh4RWYyt7TEoFImWDoOIiIiIiIiIiIiIiIiIiIiIyKSYqEdEFvHk6RbYO+yAo9OPsLKKsXQ4REREREREREREREREREREREQmY2PpAIjovycx8RRiYuYBAKys0uDo9AsSE8vBza2vhSMjIiIiIrI8IQQKCgoghLB0KERErwSlUgmFQiFZzs/Pt2BERESvBoVCASsrK8k+loiIiIiIiNRjoh4RmVVGRhSuXB0PQFlYplDk4/adqQAeIyBgLE/sEBEREdF/ilKpREZGBtLS0pCRkQGlUqm5EhERaU2pVMLHx6dwOS4uDtbW1haMiIjo1WJnZwdXV1e4urrCwcGB53eJiIiIiIjUYKIeEZlNbm4CLl4aifz8NJXP377zHTIz76JGjbmwsrI3c3REREREROZVUFCA+/fvIy1N9fExEREREdHLIDc3FwkJCUhISICtrS38/Pzg5ORk6bCIiIiIiIhKHCtLB0BE/yUKONiXKXaNh4+2IvziUOTlJZkpJiIiIiIi87OyssLjx4+ZpEdEZAZWVlaFIz25urrCyoqnRImITCUvLw+xsbHIzMy0dChEREREREQlDs9KEZHZ2Nl5oUGDNShT5s1i10tOPo+Q0L7IyLhjnsCIiIiIiMzI2toanp6eyMvLs3QoRERERERGJ4RAbGwssrOzLR0KERERERFRicKpb4nIrKys7FGr5rewtiqHuAe/qF0vKysGoWF9Ubfur/DybGHGCImIiIiITMvV1RXW1taSMoVCAScnJ7i6usLR0RHW1tZQKBQWipCI6NWiVCqRnp5euOzi4iLbDxMRke6EEMjLy0N6ejpSU1MlN6IIIZCYmGjB6IiIiIiIiEoeJuoRkdkpFAr4+Y3E7dtpsHf4EwpFvsr18vNTcfHiUNSoPhd+fm+ZOUoiIiIiIuOzsrKCnZ1d4d8AYGdnB39//8JyIiIyLoVCIUnMs7GxYaIeEZGR2NrawsnJCT4+PoiLi0NaWlrhc/n5+bCxsUF+vurzv0RERERERP81nPqWiCwmP78+sjLHo6DARe06QuQj4sY0REUtgBAFZoyOiIiIiMj4HBwcAKAwQcTKygoBAQFM0iMiIiKil5pCoUC5cuVga2srKbe3t7dQRERERERERCUPE/WIyKIKCgKQlTkZjo5Vil0vJnY5rlwdD6Uy00yREREREREZ3/NEvecXMN3c3GBjw8HuiYiIiOjlp1Ao4ObmJil7fvxLRERERERETNQjohJACC/UrLEK3l5ti13v6dN/EXahP3JyHpspMiIiIiIi4xFCFCblPR9Rr+iFTCIiIiKil5mLi3T2FE41TkRERERE9H+YqEdEJYK1tQvq1fsN5csPLna9tLSrCAntg7S062aKjIiIiIjIOIQQhX8rFAoAkE0NRkRERET0MlM1WvTzY18iIiIiIqL/OibqEVGJYWVlg+rVZqNa1S9Q3O4pJ+cRwi68g6fxh8wXHBERERGRgVQl6llZ8Wc5EREREb06eHxLRERERESkHn8xEVGJ4+8/BK/VWw5raxe16yiVmbh8eTRiY3+XXPAkIiIiIiIiIiIiIiIiIiIiIippmKhHRCVSqVLt0bjRJjjY+xWzlsCtqK8RGfk5CgryzBYbEREREREREREREREREREREZEumKhHRCWWi0t1NG68FW5urxW7XtyDDbh0aSTy8lLNFBkRERERERERERERERERERERkfaYqEdEJZq9vQ8aNvgTvr7di10vMekkQsPeQlZWrJkiIyIiIiIiIiIiIiIiIiIiIiLSDhP1iKjEs7Z2QJ3aPyIwcHyx62VmRiEktC+SU8LMFBkRERERERERERERERERERERkWZM1COil4JCYYXKlaagVs1FUChs1a6Xl5eI8PBBePRopxmjIyIiIiIiIiIiIiIiIiIiIiJSj4l6RPRSKVu2Dxo0WAtbW0+16xQU5OLa9Q9x5+5PEEKYMToiIiIiIiIiIiIiIiIiIiIiIjkm6hHRS8fTowkaN9oMJ6eKxa539+6PuHZ9CpTKHDNFRkREREREREREREREREREREQkx0Q9InopOTkFonGjLfD0bFHseo8f70RoWD+kpUWYKTIiIiIiIiJ6mSUnJ8PX1xcKhQIKhQK7d++2aDxpaWnw8fEpjGfnzp0WjYeIiIiIiIiIiIj0Y2PpAIiI9GVr6476r61CZOQXePBwk9r10tOvIyT0TQQGjENg4FhYWdmZMUoiIiIiIqKXW3JyMq5cuYKbN28iKSkJeXl58PT0RJkyZdCsWTOULVvWZH0nJSUhNDQUd+7cQXJyMvLz8+Hi4oLy5cujdu3aqFGjhtH7/OKLL/D06VMAQJs2bRAcHGz0PnTh6uqKGTNmYMqUKQCAjz76CN26dYOdHX/bEhERERERERERvUyYqEdqCSEQHR2NK1eu4P79+0hOToa9vT08PT1RtWpVNGnSBA4ODpYOk/7jrKxsUaPGN3Byqoio2wsBCJXrCZGPu9E/4Wn8v6hZcwHcXOuYN1AiIiIiIiIdBQYGIiYmpnD5yJEjCAoKMnlbBQUFOHr0KHbt2oWDBw/i6tWrxbZdq1YtjB8/HkOHDoWTk5Ne8b0oKysLv//+O/744w+EhIRACNW/8wCgTJkyeOuttzBhwgRUq1bN4L4jIiKwZMmSwuWvv/7a4DaNYdy4cfjuu+8QFxeHqKgo/PTTT/j4448tHRYRERERERERERHpgIl6JJGUlITt27dj3759OHz4MOLj49Wua2tri+DgYEyePBnt2rUzY5REUgqFAgEB78PJKRBXr01BQUGW2nXT028gNLQPAiqMRsWKE2BlZW/GSImIiIiIiEq2/fv3Y9iwYXj48KHWda5fv47x48fjhx9+wPr169GkSRO9+9+4cSM+/PBDPHr0SKv1Hz16hMWLF+PXX3/F+++/j/nz58PNzU3v/mfNmoX8/HwAQIsWLdCmTRu92zIme3t7TJo0CVOnTgUALFiwAGPGjIGLi4uFIyMiIiIiIiIiIiJtWVk6ACo5xo8fjzJlymD48OHYtGlTsUl6AJCXl4ft27cjKCgIQ4YMQWpqqpkiJVLNx6cLGjXaCHu70sWuJ4QS0TG/4nxIL6SmXjZTdERERERERCXfrVu31CbpeXl5oVatWmjSpAkqVKigsm67du1w/PhxnfvNy8vDqFGj0L9/f5VJeu7u7qhRowYaNWqEsmXLwtraWvK8UqnEkiVL0LhxY0RGRurcPwBcvnwZmzdvLlx+nhRXUowePbowCTE+Ph4//fSThSMiIiIiIiIiIiIiXTBRjwqdO3cOubm5snJra2uUL18ejRo1Qr169eDu7i5b548//kDnzp2Rnp5ujlCJ1HJzrYMmTXagVKlOGtfNyLiFkNC+iIpaCKUyxwzRERERERERvTwUCgU6d+6MlStX4vbt20hISMC1a9dw/vx5xMTEICYmBh999JEkaS4rKwtvvPEGHjx4oHU/SqUS7777LlasWCEpd3Z2xrRp03Dp0iUkJycjIiICoaGhePDgAZ4+fYqVK1eiQYMGkjrPkwVv3Lih8+tduHBh4TS75cuXxxtvvKFzG6bk5uaGAQMGFC7/+OOPyMnhb1kiIiIiIiIiIqKXBRP1SCUPDw+MGzcOu3fvRlJSEu7du4fQ0FBcunQJCQkJOHLkiGz6l/Pnz2Po0KGWCZjoBfb2PqhXdylq1/oeNjYeGtYuQEzsMpwPeQMpKeHmCI+IiIiIiKhEs7OzwwcffIA7d+7g33//xfDhw1GpUiXZehUqVMC3336L/fv3w97evrA8NTUV06dP17q/OXPmYOvWrZKydu3a4dq1a5g3bx7q1asnq+Pp6Ynhw4cjJCQE8+bNg5XV/53ievz4Mfr06YOsrCytY3j48CE2bdpUuDxs2DDZqH0lwciRIwv/fvLkCTZu3GjBaIiIiIiIiIiIiEgXTNQjicDAQKxYsQIPHjzAL7/8gu7du8PV1VWyjrW1NYKCgnDkyBG8//77kue2bNmCI0eOmDNkIpUUCgXKlOmJ5s33w8enq8b1MzNvIzTsbdyKmgelMtsMERIREREREZU8LVu2xM2bN/HTTz8hMDBQqzodO3bEwoULJWV//fWXVqPunz59Gl9//bWkrH379ti3bx8CAgI01re2tsa0adOwbNkySXlERAQ+/vhjLaJ/ZsWKFcjLyytcHjx4sNZ1zalRo0aoVatW4fKSJUssGA0RERERERERERHpgol6VOjLL79EZGQkRowYAUdHR43rW1tb49dff0Xjxo0l5UWnqiGyJHu7Uqhb5xfUqf0TbG29NKxdgNjYFTgf0gPJyaFmiY+IiIiIiKgkadiwoVYJckWNHTsW7u7uhcs5OTk4evRosXWEEBg1ahSUSmVhmb+/P3bs2AEHBwed+h85ciQ++ugjSdmvv/6K8+fPa1V/3bp1hX/XqVMHVatW1al/c+rdu3fh3+fOnUNUVJQFoyEiIiIiIiIiIiJtMVGPCgUHB8POzk6nOtbW1pg6daqkbP/+/cYMi8hgCoUCpUsHo3mzffD17a5x/czMuwi78C5u3poLpVL7qZKIiIiIiIj+q2xtbdG8eXNJWWxsbLF19u3bh+vXr0vKfvzxR9nI/tqaPXs2ypcvLyn73//+p7FeWFgYbt68Wbjcq1cvvfoHgIKCAkRGRmLr1q34+eef8c033+C7777DqlWrcOLECeTk5Ojdtrr4/vzzT4PbJCIiIiIiIiIiItOzsXQA9PJr06aNZDkhIQGZmZlwcnKyUEREqtnZeaNuncV48qQHbkR+jry8hGLWFrh3bxXi4w+hZo0F8PRsarY4iYiIiIiIXkaenp6S5ZSUlGLX/+GHHyTLDRo0kIwWpysXFxdMnToVEydOLCzbsmUL7t27B39/f7X1/vnnH8ly+/btdeo3LS0N27Ztw/bt23H06FEkJSWpXdfe3h5vvPEGpk+fjoYNG+rUz3MNGzaEm5sbUlNTATyL/4svvtCrLSIiIiIiIiIiIjIfjqhHBit6Ih7QfDKeyJJ8fbuiRfP9KF26p8Z1s7JicSG8PyJvzkZ+foYZoiMiIiIiIno5xcXFSZa9vb3VrpuamoqDBw9KyoYNG2ZwDAMGDJDMFpCfn4+dO3cWW+fFmQFsbW3RsmVLnfqsWLEihgwZgm3bthWbpAc8mxJ48+bNaNy4Mb755hud+nnO2toarVu3LlwOCwtDfHy8Xm0RERERERERERGR+TBRjwxW9EQ8UPzJeKKSwNbWE3Vqf496dZfCzs5H4/r376/FufPBSEw6Y4boiIiIiIiIXi4ZGRm4cOGCpKxatWpq1z99+jQKCgokZX379jU4Dm9vb7Rr105SdurUKbXrZ2dnIyQkpHC5Vq1acHR01KnP7OxsybJCoYC/vz/q1auH5s2bo3bt2rJZB4QQmDlzJubMmaNTX881atSo8O+CggKcPHlSr3aIiIiIiIiIiIjIfJioRwY7ceKEZDkgIEBy9zpRSebj0xnNm+1DmTKap1fKzr6H8PBBuBH5BfLz080QHRERERER0cth06ZNyMj4v1HI3dzc0KpVK7XrF02eK1OmDPz8/IwSy4tJbKr6etHly5eRn59fuFynTh29+qxRowY+//xznD59Gunp6YiNjcWlS5dw5swZXL16FWlpaThz5gzeffddSb05c+ZIEgW1VbduXclyaGioXnETERERERERERGR+dhYOgB6+f3++++S5e7duxut7SdPnuDp06c61YmKipIsp6enIzU11WgxkXG8eAFH1bJ5WcG//BdwdWmP6JivkJdX/DYXF7ceT58eRmDgF3B3a26mGImIjKNk7X+JiP5bMjMzZWVKpRIKhUKr+vnKAjxKzda8IhmkjJsDbKxL5n2NISEhyMnJ0atu0VHflEollEqlMcJCZmambGS4AQMGwMrKSm0fERERkuX69esbLZ7XXntNshwbG4u0tDTZqHYAcPHiRcly1apVdY5jx44dCAoKkpSpaqNJkyZYt24dunbtWjjNr1KpxKJFi7Bhwwad+qxatapk+eLFi0Z7/15FRd8bvldERKajVCohhAAA2ei5PAdBRGQePAdMRGQ53AeXfOnplh2UiYl6ZJA9e/bg+PHjkrKhQ4carf1ff/0VX375pUFtnD9/Ho8ePTJSRGQq58+ft3QI/99k2NvvgK1d8fHk5j7EzZtjkZfXFLk53SCEh3nCIyIyspKz/yUievUpFAr4+PgULhcUFCA9PR3W1tZa1Y9Lzkbw0jBThUf/3+4xjVDOw8HSYQCQX9yeOnWq0drOyspCWlqaUdr66KOPEB0dXbjs7OyMiRMnFtt+0ZvySpUqZbR4XF1dZWWxsbEoV66crDwyMtLgOBo1aqRTnTfffBN79+7Fpk2bAADbtm3D/fv34e7urnUbbm5ukuU7d+4Y7f37L1CVOE1ERMahVCoLj2GKXpTkOQgiIsvg/peIyHK4Dy55YmNjLdp/ybxFnF4KiYmJGD16tKTszTffRNOmTS0UEZExOCIn511kZY5CQYGHxrVtbc/Dyfkb2NnvABScDpeIiIiIiP5bNm/eLBtp/4svvkDZsmWLrZeUlCRZLpp4ZghVbRXt77m4uDjJcunSpY0WR3H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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 24: Species generation rate density history at steady-state.\n" ] } ], "source": [ "'''Species generation rate density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.g_vec_history() # mole/m^3-s\n", "\n", "quant.plot(title='Species Generation Rate Density @ %2.1f C Steady-State'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', legend=stg.rxn_mech.species_names, show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Species generation rate density history at steady-state.')" ] }, { "cell_type": "code", "execution_count": 108, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 22: Species generation rate density history at steady-state.\n", "Time [min] g [mM/s]\n", " a0 a1 a2 a3 a4 a5 a6 a7 a8 a9\n", "t [min] \n", "1.15 -2.8201 0.0014 0.4504 0.0027 -0.0027 0.0014 -0.0014 -2.4670 0.8324 0.1172\n", "1.43 -2.7667 0.0014 0.4385 0.0027 -0.0027 0.0014 -0.0014 -2.4178 0.8159 0.1158\n", "1.72 -2.7488 0.0014 0.4331 0.0027 -0.0027 0.0014 -0.0014 -2.4003 0.8100 0.1157\n", "2.01 -2.7429 0.0014 0.4306 0.0027 -0.0027 0.0014 -0.0014 -2.3940 0.8080 0.1158\n", "2.29 -2.7411 0.0014 0.4294 0.0027 -0.0027 0.0014 -0.0014 -2.3918 0.8072 0.1160\n", "2.58 -2.7406 0.0014 0.4288 0.0027 -0.0027 0.0014 -0.0014 -2.3910 0.8070 0.1161\n", "2.87 -2.7405 0.0014 0.4285 0.0027 -0.0027 0.0014 -0.0014 -2.3907 0.8069 0.1161\n", "3.15 -2.7405 0.0014 0.4284 0.0027 -0.0027 0.0014 -0.0014 -2.3906 0.8069 0.1162\n", "3.44 -2.7406 0.0014 0.4283 0.0027 -0.0027 0.0014 -0.0014 -2.3906 0.8069 0.1162\n", "3.73 -2.7406 0.0014 0.4283 0.0027 -0.0027 0.0014 -0.0014 -2.3906 0.8069 0.1162\n", "4.01 -2.7406 0.0014 0.4282 0.0027 -0.0027 0.0014 -0.0014 -2.3906 0.8069 0.1162\n", "4.30 -2.7406 0.0014 0.4282 0.0027 -0.0027 0.0014 -0.0014 -2.3906 0.8069 0.1162\n", "4.59 -2.7406 0.0014 0.4282 0.0027 -0.0027 0.0014 -0.0014 -2.3906 0.8069 0.1162\n", "4.87 -2.7406 0.0014 0.4282 0.0027 -0.0027 0.0014 -0.0014 -2.3906 0.8069 0.1162\n", "5.16 -2.7406 0.0014 0.4282 0.0027 -0.0027 0.0014 -0.0014 -2.3906 0.8069 0.1162\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Species generation rate density history at steady-state.')\n", "print('Time [min] g [mM/s]')\n", "import pandas as pd\n", "col_names = [f'a{i}' for i in range(len(stg.rxn_mech.species_names))]\n", "time_name = 't [min]'\n", "df = (quant.value.apply(pd.Series).mul(1)\n", " .rename(index=lambda i: round(i/unit.min,2))\n", " .set_axis(col_names, axis=1).rename_axis(time_name)\n", " .round(4))\n", "print(df.iloc[n_startup:].to_string(max_rows=20, min_rows=20))" ] }, { "cell_type": "code", "execution_count": 109, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 25: Produced species generation rate density history at steady-state.\n" ] } ], "source": [ "'''Produced species generation rate density'''\n", "import matplotlib.pyplot as plt\n", "\n", "ids, quant_produced = stg.g_vec_history(produced=True) # mole/m^3-s\n", "\n", "quant_produced.plot(title='Produced Species Generation Rate Density @ %2.1f C Steady-State'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant_produced.unit+']', legend=list(np.array(stg.rxn_mech.species_names)[ids]), show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Produced species generation rate density history at steady-state.')" ] }, { "cell_type": "code", "execution_count": 110, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Overview of Species Generation Rates Density at Steady-State.

\n", "\n", "

Steady-state values (mM/s)

\n", "\n", "- H₂O(a): -2.74061 mM/s (net consumption)\n", "- H₂O(v): 0.00135593 mM/s (net production)\n", "- H₂O·[C₄H₉O]₃PO(o): 0.428226 mM/s (net production)\n", "- N₂(a): 0.00269596 mM/s (net production)\n", "- N₂(v): -0.00269596 mM/s (net consumption)\n", "- O₂(a): 0.00142770 mM/s (net production)\n", "- O₂(v): -0.00142770 mM/s (net consumption)\n", "- [C₄H₉O]₃PO(o): -2.39059 mM/s (net consumption)\n", "- [H₂O]₂·[[C₄H₉O]₃PO]₂(o): 0.806856 mM/s (net production)\n", "- [H₂O]₆·[[C₄H₉O]₃PO]₃(o): 0.116219 mM/s (net production)\n", "\n", "

Key steady-state observations

\n", "\n", "- Dominant fluxes: the largest-magnitude rates are consumption of H₂O(a) (≈ -2.74 mM/s) and [C₄H₉O]₃PO(o) (≈ -2.39 mM/s), and production of the hydrated/adduct complexes (especially [H₂O]₂·[[C₄H₉O]₃PO]₂(o) at ≈ 0.8069 mM/s).\n", "- Phase-exchange pairs (N₂ and O₂): N₂(a) and N₂(v) are equal in magnitude and opposite in sign (±0.00269596 mM/s); O₂(a) and O₂(v) are likewise equal/opposite (±0.00142770 mM/s). This indicates steady-state phase transfer between adsorbed and vapor forms with negligible net creation/destruction beyond exchange.\n", "- Relative significance: water- and organophosphate-related species carry the bulk of the generation/consumption (orders of magnitude larger than the dilute gas-phase rates listed).\n", "- Numerical steadiness: values are essentially constant across the final time entries (t ≥ ~100 s in the table), so the listed numbers represent the steady-state generation-rate density in mM/s.\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 5896\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Overview of Species Generation Rates Density at Steady-State.\\n'\n", " '+ Do not explain the start-up process; cover the steady-state only.'\n", ")\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='

', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Mass Balance Residual\n", "\n", "This is actually the total mass generation rate density (mixing volume) residual; a small number in view of total mass conservation." ] }, { "cell_type": "code", "execution_count": 111, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 26: Total mass generation rate density residual history at steady-state.\n" ] } ], "source": [ "'''Mass balance residuals'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.mass_balance_residual_history()\n", "\n", "quant.plot(title='Total Mass Generation Rate Density @ %2.1f C Steady-State'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', markers_only=True, legend=['Residual'], show=True, figsize=[10,3])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Total mass generation rate density residual history at steady-state.')" ] }, { "cell_type": "code", "execution_count": 112, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "#### Total Mass Generation Rate Density Residual at Steady-State.\n", "\n", "#### Data selection\n", "\n", "- Steady-state interval inspected: t = 103.208 s through 309.624 s (rows with times 103.208, 154.812, 206.416, 258.02, 309.624); N = 5 samples.\n", "\n", "#### Numeric summary (steady-state samples)\n", "\n", "- Time column:\n", " - min = 103.208 s, max = 309.624 s, mean = 206.416 s, sampling step ≈ 51.604 s (uniform spacing in this subset).\n", "\n", "- Total Mass Generation Rate Density [g/L-s] (steady-state values):\n", " - values = [−8.39579e-17, −1.47926e-16, 1.88719e-17, −4.34833e-17, −2.84061e-17]\n", " - mean = −5.70e-17 g/L-s\n", " - median = −4.35e-17 g/L-s\n", " - standard deviation ≈ 5.61e-17 g/L-s\n", " - RMS ≈ 8.00e-17 g/L-s\n", " - minimum (most negative) = −1.47926e-16 g/L-s\n", " - maximum (most positive) = 1.88719e-17 g/L-s\n", " - maximum absolute residual = 1.47926e-16 g/L-s\n", "\n", "- Linear trend (least-squares slope of residual vs time over the steady-state interval):\n", " - slope ≈ 4.2e-19 g·L⁻¹·s⁻2 (i.e., g/L-s change per second), effectively zero within numerical noise.\n", "\n", "#### Interpretation\n", "\n", "- The mass-generation residuals during the steady-state interval are centered near zero (mean ≈ −5.7×10⁻¹⁷ g/L-s) with scatter on the order of 10⁻¹⁷–10⁻¹⁶ g/L-s. \n", "- No significant systematic drift is visible (slope ≈ 4.2×10⁻¹⁹ g/L-s per s); the largest discrepancy is ~1.48×10⁻¹⁶ g/L-s. \n", "- Conclusion: mass balance in the mixing volume is satisfied to within O(10⁻¹⁶) g/L-s during the inspected steady-state interval, consistent with numerical round-off / solver residual levels." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 7492\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Total Mass Generation Rate Density Residual at Steady-State.\\n'\n", " '+ Do not explain the start-up process; cover the steady-state only.'\n", " )\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='

', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 113, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Time for imbalance of 1 gram in 10000 gallons: 7517.2 [years]\n", "Time for imbalance of 1 gram in 1e6 gallons: 75.2 [years]\n" ] } ], "source": [ "'''Time for 1 gram imbalance in variable volumes'''\n", "\n", "time = ( (1*unit.gram/(10000*unit.gallon)) / abs(quant.value.mean()) ) / unit.year\n", "print('Time for imbalance of 1 gram in 10000 gallons: %1.1f [years]'%time)\n", "\n", "time = ( (1*unit.gram/(1e6*unit.gallon)) / abs(quant.value.mean()) ) / unit.year\n", "print('Time for imbalance of 1 gram in 1e6 gallons: %1.1f [years]'%time)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Shut-down Simulation\n", "\n", "From steady-state, shutdown in two flow residence times." ] }, { "cell_type": "code", "execution_count": 114, "metadata": {}, "outputs": [], "source": [ "end_time += 3 * stg.flow_residence_time_avg\n", "time_step = 3 * stg.flow_residence_time_avg / 20\n", "show_time = (True, 10*time_step)\n", "\n", "stg.time_step = time_step\n", "stg.initial_time = stg.end_time\n", "stg.end_time = end_time\n", "stg.show_time = show_time" ] }, { "cell_type": "code", "execution_count": 115, "metadata": {}, "outputs": [], "source": [ "'''Abrupt turn-off of TBP concentration in the organic phase in the inflow'''\n", "tbp_mass_cc_org = 0.0\n", "stg.inflow_organic_phase.set_value(tbp_org_name, tbp_mass_cc_org)" ] }, { "cell_type": "code", "execution_count": 116, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[31384] 2025-12-02 16:01:22,348 - cortix - INFO - Launching Module \n", "[2417] 2025-12-02 16:01:23,618 - cortix - INFO - Stg-1::run():time[m]=5.2\n", "[2417] 2025-12-02 16:01:23,976 - cortix - INFO - Stg-1::run():time[m]=6.5\n", "Total mass rate density (mixture volume) residual [g/L-s]= 6.64074e-19\n", "total mass inflow rate [g/min] = 4.961e+02\n", "total mass outflow rate [g/min] = 5.045e+02\n", "\t net total mass flow rate [g/min] = 8.396e+00\n", "[2417] 2025-12-02 16:01:24,316 - cortix - INFO - Stg-1::run():time[m]=7.7 (et[s]=0.7)\n", "[31384] 2025-12-02 16:01:24,479 - cortix - INFO - run()::Elapsed wall clock time [s]: 1272.14\n", "[31384] 2025-12-02 16:01:24,480 - cortix - INFO - Closed Cortix object.\n", "_____________________________________________________________________________\n", " T E R M I N A T I N G \n", "_____________________________________________________________________________\n", " ... s . (TAAG Fraktur)\n", " xH88\"`~ .x8X :8 @88>\n", " :8888 .f\"8888Hf u. .u . .88 %8P uL ..\n", ":8888> X8L ^\"\"` ...ue888b .d88B :@8c :888ooo . .@88b @88R\n", "X8888 X888h 888R Y888r =\"8888f8888r -*8888888 .@88u \"\"Y888k/\"*P\n", "88888 !88888. 888R I888> 4888>\"88\" 8888 888E` Y888L\n", "88888 %88888 888R I888> 4888> \" 8888 888E 8888\n", "88888 `> `8888> 888R I888> 4888> 8888 888E `888N\n", "`8888L % ?888 ! u8888cJ888 .d888L .+ .8888Lu= 888E .u./\"888&\n", " `8888 `-*\"\" / \"*888*P\" ^\"8888*\" ^%888* 888& d888\" Y888*\"\n", " \"888. :\" \"Y\" \"Y\" \"Y\" R888\" ` \"Y Y\"\n", " `\"\"***~\"` \"\"\n", " https://cortix.org \n", "_____________________________________________________________________________\n", "[31384] 2025-12-02 16:01:24,481 - cortix - INFO - close()::Elapsed wall clock time [s]: 1272.15\n" ] } ], "source": [ "'''Run system in parallel'''\n", "stg.monitor_mass_flowrates = False\n", "stg.monitor_mass_conservation_residual = False\n", "system.run()\n", "system.close() # Shutdown Cortix" ] }, { "cell_type": "code", "execution_count": 117, "metadata": {}, "outputs": [], "source": [ "'''Recover stage'''\n", "stg = system_net.modules[0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Organic Phase Results" ] }, { "cell_type": "code", "execution_count": 118, "metadata": {}, "outputs": [ { "data": { "image/png": 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kiTZt2qQDBw7ozJkzioyMVFxcnLy8vOTv73/3el6qVCmVKVNGTz75pMqVK5fVpQMAAAAAAAAAHlLHjh3T/PnzNW/ePG3evPnuv4Xc27hzx52Yv7+/WrRoobZt26pVq1b8uxcAPMZCQ0N15syZFLEJEyaoZ8+eWVMQgAxh9AXrq1evVoMGDTK/GACPLJp1AAAAgMfQ0KFDNWTIkBQxb29vnT9/XtmzZ8+aogAAAAAAAAAAAEx0+fJlLVy4UPPmzdOff/6puLg4SSlvzrx/Co+7u7vq16+vtm3b6umnn1ahQoUyv3AAQJahWQd4PNCsAyAz0KwDAAAAPGaSkpIUGhqqv//+O0X8hRde0OTJk7OoKgAAAAB4uISHh6thw4YZuseuXbuYnv0QW7t2rdauXZvVZdxVr1491atXzypudBNSevn4+CggIECBgYEqVqyYKlWqpKpVq6pFixby9vZ2tmRJ0uTJk+2uz8PDQ4GBgQoMDFSOHDlUoUIF5c2b15R6AADAwys2NlYrVqzQvHnztHjxYl29elVS6o07klSpUiVt3749c4sFHjLXr1/XqFGjsrqMu4KCgtS3b98UsSFDhmjo0KEO5XN3d1dgYKACAgKUN29ehYWFqVKlSmrWrJlCQkLMKFl79+7VggUL7DrH1dVVfn5+CgoKUmBgoIoWLaoyZcrIzc3NlJrM0LNnT02aNCndx7u6usrLy0teXl7y8/NTnjx5lDt3boWGhqp06dIqU6aMqlevLn9//wyrmWYdZJTTp0+rSJEiVvEePXpo4sSJpu5l65pHM8r/o1kHQGZwz+oCAAAAAGSu+fPnWzXqSNLrr7+eBdUAAAAAAPBoWrVqlcM3gmWEwYMHGzbrOCM2NlaxsbGKiIjQkSNHtGTJEklSYGCgOnXqpHfffVdFixZ1ao9x48ZpzZo1TtdasGBB1a5dWy+99JKaNWtmeEMGAAB4tPn4+Khdu3Zq166dkpOTtX79es2bN0/z58/XqVOn7h5353PCncadXbt2ZUm9wMPk2rVr+uijj7K6jLtCQkKsmnWckZiYqKtXr+rq1as6deqUNm3aJOnf60XDhg31f+zdd1iT1/s/8HdAloAsJ6igxQFucU8cuPeuE7WOuv2qtW4tWkfVtq5WcVbrqAvcG/dARcCJEwEVkb1n8vvDH/kQEyCBLMj7dV25zHOe85xzB2JITs59ztSpU9GnT59C9eHn56eUn6GpqSkaNmyIAQMGYOTIkbC0tCx0m+okFAqRkpKClJQUxMbGyvxeW19fH/Xr10fPnj0xePBg1KxZUwOREhHpjuDgYJkJZUuXLlV7LERFjZ6mAyAiIiIiIvURiURYvny5VHnDhg3RvHlzDURERERERERERMVNXFwctm3bhtq1a2PlypUQCoWaDglhYWH477//0KVLFzg6OuLIkSOaDomIiIg0SE9PD23atMH69evx5s0bBAYG4pdffoGLiwtEIpE4UYeIKC8ikQhXrlxB37590aNHD4SGhmo6JCQlJeHGjRuYPn067OzsMH36dCQnJ2s6LKXKysrCw4cPsXTpUjg5OaFly5bw8vLiazcRkYoEBwdj2bJlUjciyh+TdYiIiIiIdIinp6fMFeBmzpypgWiIiIiIiIiIqDhLSUnB/Pnz4e7urhUJO9nevn2LgQMHYuTIkUhKStJ0OERERKQFateujYULF+L+/fsIDQ3Fpk2b4ObmBgMDA02HRkRFxOnTp9GyZUu8efNG06GIJScnY8OGDahfvz4ePnyo6XBU5vbt2+jbty+aN28OPz8/TYdDREREJFZC0wEQEREREZF6eHt7Y/r06VLlNWvWxPfff6+BiIiIiIiIiIqfdu3aoX379kppq0KFCkpph0hRlpaWmDVrVp51hEIhEhISEBkZicePHyMwMBAZGRky6+7duxeWlpbYsGGDKsItsL179yIyMhInTpxAiRL82pSIiIi+srOzw6RJkzBp0iTEx8fj7Nmzmg6JiFRozJgxqFKlSp51kpOTER8fj6CgIPj5+SE6OlpmvdDQULRr1w6PHz+GhYWFKsItkFevXqFjx464desWnJ2dNR0OAGDWrFmwtLSUeS4rKwspKSlISEjAp0+f8P79ezx79gypqal5tnnv3j00adIEq1atwuzZs1UQNREREZFiOOpMRERERFTMnDx5EgEBAQC+TpyJiorCjRs3ZO6oAwArVqyAvr6+OkMkIiIiIiIqttq0aYOFCxdqOgzSAkuXLsXSpUsLdO3u3bsxevRoqfJdu3bB3d29cIHJwcLCQuHncWRkJHbt2gUPDw8kJCRInd+8eTOGDx+OJk2aKCVGkUiU67mMjAxERUXh7du3uH79Onbs2IHXr1/LrHv27FlMnz4dmzdvVkpcREREVLyUKlUKgwcP1nQYRFrPwcEhz/fo+REIBFJlbdu2xdWrVwsRlXxGjBgBV1dXuetnZWXh/PnzWLRokcxdXEJDQ7FgwQJs2rRJKfHl9TlQJBIhNjYWnz9/xt27d3Hs2DGcOnVK5u8iNjYWXbp0gb+/P6ytrZUSW2FMmTIFDg4OctfPysqCv78/Ll68iP379+Px48e51pszZw6eP3+O7du3y3xu5Sc4OFjha4iIiIhk0dN0AEREREREpFxHjx7FokWLsGjRIixZsgQbNmzINVGnX79+6Nevn5ojJCIiIiIiIqLipnTp0pgzZw4CAwNRuXJlqfNCoRDLli1TSywGBgYoX748WrRogZ9//hlBQUHYsGEDDA0NZdb/+++/c53oRURERERElJO+vj66desGX19fmYssAMBff/2F8PBwlcciEAhgZWWFmjVrwt3dHSdOnICfnx+qV68us35oaChWrlyp8rhUQV9fHy4uLvj5558RGBiI69evo02bNrnW37lzJ6ZOnarGCImIiIikMVmHiIiIiEhHOTs7Y9u2bZoOg4iIiIiIiIiKEQcHBxw9elTm6sWXLl2SueuOqunp6WHq1Knw8vKCnp7016NCoRCLFi1Se1xERERERFR06evrw9PTE/Xq1ZM6JxQK4e3trYGogPr168PX1xc1a9aUeX7Tpk349OmTmqNSvtatW+PatWv466+/YGRkJLPO5s2bsXfvXjVHRkRERPQ/TNYhIiIiItJBXbp0weXLl2FjY6PpUIiIiIiIiIiomGnUqBG6dOkiVZ6eno6bN29qIKKvunbtitmzZ8s8d+bMGSQmJqo5IiIiIiIiKsr09fUxf/58meeuXLmi5mj+x8LCAocPH5a5WEFqaipOnDihgahUY+LEibh48SJMTU1lnp80aVKxSE4iIiKioonJOkRERERExZxAIICFhQVq1aqFH374AT4+Pjh79izKly+v6dCIiIiIiIiIqJjq3LmzzPKPHz+qORJJc+bMgYmJiVR5RkYGrl69qv6AiIiISC76+voquxkYGMDGxgZVq1ZFo0aN4O7uji1btuDJkyeafthEVARo62ef2rVro1+/fjLPXbx4Uc3RqFbr1q1x6NAhmTu8JiYmYsGCBRqIioiIiAgooekAiIiIiIhIuXbv3o3du3drOgwiIiIiIiLSoCdPnuDEiRO4desWgoKCEBERgeTkZJQqVQrVq1fHpk2b0KhRI7nbe/XqFU6fPo3bt2/jxYsXCAsLQ1JSEkQiEczNzVG5cmXUqVMHrq6u6NOnD6ytrVX46LQvHpLm4OAgszwiIkK9gXyjdOnSaNmyJS5duiR17s6dO+jRo4cGoiIiIqL8iEQilbWdlZWFmJgYxMTEIDg4GI8ePcLevXsBAE2bNsW0adMwZMgQlfVPREWbhYUFLC0tERsbK1Gu6c8+ANCnTx8cOXJEqvzOnTsaiEa1unfvjsmTJ2PTpk1S5/755x8sW7YMlSpV0kBkuUtISMCxY8dw7tw5BAYG4sOHD0hKSoKpqSns7OzQpEkTDBo0CJ07d5a5S5Is7969w6FDh3Djxg08ffoUkZGRyMzMRLly5VCpUiV06dIFAwcORI0aNVT2uNLS0nD+/HlcvXoVfn5+ePv2LaKjo5GSkgITExOULl0ajo6OaNasGbp3747mzZurLJZvffr0Cd7e3vDx8cHz588RFhaGxMREGBoawsHBAbNmzcLo0aPVFo+2iYqKwsaNG6XKe/ToodA4Yn62bNki9RpZrVo1DBs2TOG2bt++jaNHj+LWrVt4/fo14uLiYGBgAGtra9SoUQMtWrRA//79Ub9+fSVFr7i3b9/C29sb169fx4sXL/Dp0yckJSWhZMmS+O6777B8+XJ069Yt33YiIyNx9epVPHz4EC9evMDLly8RFRWFhIQEZGZmwsrKCtbW1qhQoQKaN2+O1q1bo3Xr1ihZsqTCMcfFxUk8F969eyez3vLly+Vqz97eHiNGjFA4DoDjwFT0MVmHiIiIiIiIiIiIiIioCNi9e7fUhAF7e3sEBweLj319fTFnzhxcv35dZhsxMTG4d+8ewsLC5PqS/cSJE1i1alWeE3mio6MRHR0Nf39/7N27Fz/++CPc3d2xZMkS2Nrayvfg5KRt8VDuZO1eAwCGhoZqjkRas2bNZCbrfP78WQPREBERkbxk7ZigCjkTg+7evYt79+7hn3/+we7du1G2bFm1xEBERYuJiYlUso62fPaRRRsSiVTBw8MDe/fuRVxcnER5VlYW/v77b6xYsUKudhwcHPD+/XuJsl27dsHd3V0p12dkZGD16tVYu3atVKzA10nycXFxePbsGXbv3o26deti69atuf4+ASA4OBjz5s3DoUOHZCa4hoSEICQkBLdu3cKSJUswYcIErFy5EhYWFnI9JnmEh4dj7dq12L59u8zHBQBJSUlISkrC+/fvcfnyZaxYsQLOzs5YsmQJBg0aVKB+g4ODUaVKFanyd+/eiRcS+fjxI37++WccPHgQGRkZUnUzMjLw9OlTBAQEFCiG4sLGxgaHDh3CixcvJMofPHiAU6dOKaWPN2/eYMqUKVLP082bNyvUzt27dzFjxgzcu3dP6lxmZiY+fPiADx8+4MqVK1i+fDnat2+PP//8E7Vr1y5U/NmuXr2Kdu3aSZXnfFxBQUGYM2cOTp06JfP/ZXx8PB49eoSXL1/mmqzz8uVLHDhwAMePH0dgYGCeCeyfP3/G58+f8fz5c1y5cgUAYG1tjWnTpmHatGmwsrKS+/HFxMRg0aJF+daTpw4AtG3bVuFkHY4DU3EhX7otERERERERERERERERabVly5ahefPmuSbqKCIkJARubm7o3bu3wivupqenY9u2bXB2dsb+/fsLHYs2xkP5i4yMlFmuDatblilTRmZ5bjETERGRdhCJRFI3eerIqptXPYFAIL5l1z137hyaNGnC5F4ikiISiRAVFSVVrs2ffTIzM6WSi4oDS0tL/PjjjzLPHTx4UM3RyPbp0yc0b94cixYtyjWh5VuBgYFo27ZtrmMax48fR/369XHw4EG5dqITCoX466+/0KJFC3z58kWh+HPz999/o0aNGli3bp3cjyvbs2fPMHjwYHTt2lXm/6XCOnXqFJycnLB3716ZiTokacKECVJl586dQ2hoqFLa3759u9TztGTJkhg+fLjcbaxYsQItW7aUmaiTmytXrsDFxQW7d++W+5rC2L59O+rWrYuTJ08WeIfI6dOno0aNGli6dCkCAgIK1E50dDSWLl0KR0dHcQKPtuM4MBU33FmHiIiIiIiIiIiIiIioiJs2bRo2btyolLauX7+O/v37FzpxIS4uDsOGDcObN2/kXmWxKMRD8vH19ZVZXqdOHTVHIs3Y2FhmeUpKipojISIiInktWbJEfD8uLg5bt25FamoqgP+tYG5jY4MGDRqgSpUqsLCwgJGREeLj4xEVFYXAwEC8ePECmZmZEok4zZo1Q6dOnZCZmYmYmBiEh4fj3r17+PDhAwBIJOyEhISgb9++uHbtGgwMDNT58IlIiwUEBCA9PV2qXJs/+wBfP/9YWlqqLxg1GT16NFatWiVV/vbtWzx//hxOTk4aiOqrz58/o1WrVnj79q3C16anp2PUqFEoV64cOnToIC7fu3cv3N3dIRQKFW7z2bNncHNzw927d/N8ruQlIyMDo0ePxr///lug63PKToy9cuUK7O3tC90eABw+fBhDhgwp0M9HV40aNQrz58+XGCPJysrCzp07Jd6PFURGRobMZJnBgwejVKlScrVRmDHQ9PR0jB49GllZWRg7dmyB2pDH+vXrMWvWrEK3o8wk8ejoaHTu3Bl//fUXfvjhB6W1q2wcB6biSCPJOiEhIZrotlAqV66s6RCIiIiIiIiIiIiIiIikbNu2TeaX1HXq1EGDBg1Qrlw5GBsbIzIyEo8ePco1iQIArl27hm7duiE5OVnmeQMDAzRq1Ai1atWCjY0NSpQogc+fP+Phw4fw9/eXucLj4sWLUbZsWZkrc+ZH2+Ih+aSmpuLo0aNS5VZWVqhbt64GIpIUHR0ts1wbVr4mIiIi2bInhz58+BB9+vRBamoqRCIR9PX1MXr0aIwdOxZNmzbNs434+HgcPHgQGzZswLNnzyAQCHD37l24uLjgjz/+gJ6enrhuQEAAVq9ejYMHD4qTe0QiEe7du4dt27Zh8uTJKn28RFR07Nu3T2a5q6uregORIbfPPkDx/fxTvXp11KhRA0FBQVLnrl27prFknczMTPTu3VsqUcfe3h6tW7dG+fLlYWRkhE+fPsHHxwfv3r2T2cbIkSMRFBQEMzMzXL9+HWPGjJFIRNHT00OzZs1Qq1YtlC1bFqmpqXjz5g0uXryIpKQkqTYDAgLw66+/4pdfflH4MWVlZWHAgAE4ceJErnVsbW3RsmVLVKhQAZaWloiLi0NISAh8fHxk7u709u1buLm5wc/PD2ZmZgrHlFNgYCBGjBghlahjZ2cn/plbWFggPj4ez549U8pO1cWBlZUVBg8eLJVUs3PnTixatEji/ZKiTp48ifDwcKny8ePHy3X92rVr80zUsbOzQ5s2bWBnZwd9fX2EhYXhzp07Uv/vfvzxR9SuXVux4OV07tw5zJ49W6rc0dERzZo1Q9myZWFubo7o6Gg8fvwYt27dUrgPGxsb1K9fH5UrV4alpSVKlSqFlJQUxMTE4MmTJ/D395e5IE1mZqb4sTdr1qxAj0+VOA5MxZVGknUcHBzEK08UBQKBAJmZmZoOg4iIiIiIiIiIiIiISEJsbKzESo16enoYM2YMFi5cmOsqpO/fv5e5oujbt2/Rr18/mV+IOjg4YM6cORg1ahRMTU1lthsaGoolS5Zgz549Uu3PnDkTbdu2Rc2aNeV+bNoWD8lv8eLFCAsLkyofPnw4DA0NNRCRpNevX8ssL126tJojISIiIkX4+fmhXbt2SEpKgkgkQvXq1XHo0CHUq1dPrutLlSqF8ePHY8yYMVi+fDl++eUXCAQCbN68GdHR0RIT7uvVq4f9+/ejb9++GDlyJNLT08UJO7/99hsmTpwIfX19VT1UIioiHj16hE2bNkmVly5dGj179tRARJJy++xjZmYGIyMjNUejPq6urjKTdfz8/DQQzVdr166ViKlVq1b47bffcp0w7+XlhR9//FEqseHjx49Yt24dpk+fjiFDhojntRoaGmLq1KmYO3cuypQpI9VeUlISFi9ejPXr10udW7NmDcaPH4+KFSsq9JhmzZolM1FHT08PgwcPxpw5c9CgQQOZ12ZmZuLo0aOYN2+eVGLSq1evMG3aNOzcuVOheL41adIkpKWliY/btm2LVatW5fozT0xMxIsXLwrVZ3ExceJEqWSdkJAQnDt3Dt26dStwu9u2bZMqq1u3rlyJI8+fP8eCBQtknqtRowY2bNiAjh07ykwmunnzJqZPny5+DcjIyFDZzjo//PCDRNJI37594eHhgVq1asmsHxkZme8OOiVKlICrqyv69++P7t27o1KlSnnWT0lJwaFDh/Drr7/i1atXEucyMzPx/fff48mTJ7mOqQJfx15zPo6rV6+iXbt2UvVkJcgUBMeBqTgreIpjIYlEoiJ1IyIiIiIiIiIiIiIi0jZxcXFITEwEAJiamuLChQvw9PTMNVEH+Lpqa5UqVSTKhEIhRowYIXPV3eHDh+PJkyeYNGlSnl/iVqpUCTt37sSRI0dgYmIicS4lJQXDhw+X+zsXbYuH5JOcnIyZM2fit99+kzpnaWmJhQsXaiAqaVevXpVZ7ujoqN5AiIiISG7Jycno378/EhMTIRKJ4OjoiGvXrsmdqJNTiRIlsHTpUqxbt048L+jAgQMyV2ofOHAgNmzYIPG+MTQ0FFeuXCnU4yGiou/EiRPo1KmTRDJAthUrVmhFMoyPj4/M8uL+2ad+/foyyx8/fqzeQHLImagzd+5c3LhxI88EhT59+uDKlSuwtLSUOvf3339j9uzZ+PTpE4CvO6Fcu3YNa9eulZmoA3wdM1q3bh08PDykzqWlpWHv3r0KPZ5z587hzz//lCovU6YMzp8/j/379+eaqAN8/Vs8ePBgBAQEwM3NTer8rl27cPLkSYVi+taHDx/E91euXImrV6/m+TM3MzNDo0aNCtVncdG0aVOZvz9PT88Ct/n+/XtcvHhRqnzcuHH5XisSiTBx4kSkp6dLnevXrx8ePXqETp065brrT6tWrXD37l388MMP4rKnT58qEL38sp93+vr62Lt3L44dO5Zrog7wNbkzt/Pm5uaYOXMm3r17h4sXL2LixIn5JuoAgImJCdzd3REQEIDRo0dLnQ8ODsaePXvkfESqx3FgKu40srMOgCKzsw7/cxIRERERERERERERkbyuX7+O5cuXF6qNXr16oW7dugpdo6enh5MnT8pc4VAeu3btwu3bt6XKx48fj61btyrUVt++ffHvv/+iX79+EuUPHz7E+fPn0aVLlyIXD0kTCoVITExEZGQknjx5gitXruDAgQOIiIiQqmtoaIiDBw+ibNmyGohU0vnz5/HmzRuZ5zp06KDmaIiIiEhe69evx/v37wF8nXO0fft2lCtXrlBtzpw5E6dOnYKPjw9EIhEWL14Md3d3mJubS9QbN24ctm3bhocPH4rLrl+/LnNyMREVTykpKYiPj8erV6/g6+uLQ4cOwdfXV2Zdd3d3uSafq1pGRga2b98u81xx/+zj5OQkszw0NFTNkUibOnUqVq1aJVddJycnLFmyBDNnzpQoDw8Px44dOwAABgYGuHDhgtxJJvPnz8fhw4cRGBgoUb53717MmzdPrjYyMjIwadIkqXJLS0tcu3Yt15+/LObm5jh16hRatWqF+/fvS5xbsWKFUnaoWrp0KX7++edCt6NrJk6ciAkTJkiUnTp1CuHh4ShfvrzC7W3fvl1qxxMTExMMHz4832u9vLxw/fp1qfI2bdpg//79ciVHGhgYYOvWrYiMjISXl5fccRfUjh075Hpsedm6dWuuCUjyMDExwY4dO5CQkIAjR45InNu8ebPM/8eawHFgKu40lqwDaH8iTFFJKCKir+Lj4/Ho0SM8ePAADx48wMOHD/H69Wvxa827d+/g4OCg2SCJiIiIiIiIiIqpN2/e4Ny5c7h+/ToCAwMRFhaGtLQ0WFpawtnZGZ06dcLYsWMLPZmKSNv5+PjkunKtvCpWrKhwss7kyZMLnKiTmZmJX375Raq8SZMm2Lx5c4Ha7Nu3L8aOHSuePJLtzz//zPdLUW2LRxe9f/9ead+TVa1aFXv27EGrVq2U0l5hJCcnY86cOTLP2draonbt2mqOiIiIiOT1999/i9+fNGrUCG3atFFKu7Nnz4aPjw8EAgHi4+Oxf/9+qYmpwNf322PGjBHHIGtCIZE24NwZxRX0s/S3DAwMsGjRIixYsEAr5h2uWrUKISEhMs916tRJzdGoV4UKFWSWh4eHQygUFmrye2HUqFEDa9asUeia8ePHY8GCBUhOTpZ5fuHChQrtBqOnp4cZM2ZgzJgxEuXPnz9HZGQkSpcunW8bu3fvxrt376TK//nnH4USdbJlL/Dh5OQksXPKvXv3cO/ePTRt2lThNrM1aNAACxYsKPD16rJnzx6t2ukEAIYOHYrZs2cjISFBXJaZmYmdO3di/vz5CrWVlZWFXbt2SZUPHDhQ5u5R39q2bZtUmZGREXbt2qXQLmZ6enrw9PTE1atXERsbK/d1iurZsydGjRpV6HaU8VolEAiwceNGnDt3Trw7OwA8e/YMfn5+aNiwYaH7KAyOA5Mu0GiyDgBUrlwZy5Yt03QYUhYvXoywsDBNh0FECmjbti38/f01HQYRERERERERkc5xd3fP9cvEL1++4Nq1a7h27RpWr16NzZs3F3pFOSKSZGhoiCVLlhT4+tOnT8ucwLN+/XqUKFHwr5IWLFiA3bt3IysrS1x2/vx5fPz4Eba2tkUmHlKclZUVWrVqhcGDB2PgwIEwNDTUdEhISEjA999/j8ePH8s8/+1KxURERKQ9AgIC8PHjR/Hk9+7duyut7Y4dO8LIyEg8Ofjs2bMyk3Xat28vvi8SiTiniLQW586ol76+PlxcXNClSxeMHz8ednZ2mg4JwNcdLJYuXSrzXJ06dYr9zmC57eqalZWFpKQkqR3U1GXu3LkwNjZW6JqSJUuiY8eOOHHihNQ5c3PzAn2W7dWrl8xyf39/dOzYMd/rt2zZIlXm5uZWqF1wqlatimHDhkkldOzcubNQyTq//PJLocaSdJmZmRlGjBgh9fvesWMH5s2bp1BS4unTp/Hhwwep8vHjx+d7bWhoKC5cuCBVPnnyZFStWlXuGLKVLl0aCxcuxOzZsxW+Vl6//vqrytouiPLly6Nnz544cOCARPndu3c1nqzDcWDSBRr/K2Rtba2UDEJl++OPP/jBmqiIyblbl4WFBRo0aIAXL14gPDxcg1ERERERERERERV/2WOppqam6NmzJ9q3b48aNWrA3NwcoaGhOHz4MP7991/Ex8dj5MiRMDAwwODBgzUcNVHx0bt3b9jY2BT4+v3790uVNW7cGC1btixMWKhSpQpat26Nq1evistEIhFu3ryJQYMGFZl4SHFpaWkQiUTIyMjQdCjIysrC4cOHsXjxYrx69UpmHVtbW0yZMkXNkREREZG8spNtRSIRBAIB7O3tlda2gYEBypcvj5CQEIhEolwTeytXrgwLCwvEx8cDAGJiYpQWA5Eyce6MemVlZSEjIwNCoRBCoVDT4eDx48fw8PDA4cOHc62zfPlyrdj5R5XySohJSUnRSLKOmZkZvv/++wJdW69ePZnJOoMHDy7QY7GxsUGlSpUQGhoqUf706dN8k3WeP38uMyFwxowZCsfxrVGjRkkl69y4caPA7VWoUAFdu3YtbFg6beLEiVLJOm/fvsXly5flSuzK5unpKVVWq1Ytucb6vL29Zb6+jhs3Tu7+v+Xu7o558+apZNyqcePGWrlzc7t27aSSde7du4dJkyZpKKKvOA5MukDjyTpERMoyZswYlClTBo0aNYKjoyMEAgFcXV054EBEREREREREpGK2trb4448/MHbsWJiZmUmca9CgAXr16oXu3bvj+++/h0gkwpQpU9CzZ0+ULFlSQxETFS+FWVk8KysLFy9elCofMGBAYUISa9OmjcSXogBw+/btXL8U1bZ4qGCSk5Nx6tQpnDp1CgsWLMDKlSsxcuRIpfaxfPnyXM9lZmYiOjoab968wa1btxAXF5drXSMjIxw4cEDh1Y2JiIhIfb79zt/ExESp7eds7/Pnz7nWs7GxESfr5PX+gkiTOHdG/R49eoRHjx5h9erVcHd3x9q1a1GqVCmltX/y5MlcFx0XiUSIi4vD58+fcffuXbx+/TrPtn788cdcd1UpTvLa3TUtLU2NkfxP06ZNC/y5s3r16jLL27ZtW+B4qlWrJpWsExUVle91586dkyqzsLBQKHEjN02bNoWhoaF4tzsAePHiBWJiYmBlZaVwe507d4a+vn6h49JlderUQYsWLXD79m2J8m3btsn9Ow8LC8PZs2elyuVNtvH19ZUqq1u3LmrWrCnX9bLY2Nigc+fOOHXqVIHbyI0yd4BUpgoVKkiVPX36VAOR/A/HgUlXMFmHiIqNadOmaToEIiIiIiIiIiKd9M8//+RbZ8iQITh06BC8vLwQGRmJS5cu6cTkANI9S5YswdKlS9XaZ8OGDQt8bfakh2+1aNGiMCGJVatWTarMz8+vyMSjqywtLTFr1qx862VkZCAuLg7h4eHw9/fHq1evpFY7/fjxI0aNGoWzZ89iz549eU6aUsSiRYsK3YaBgQH27t2LNm3aKCEiIiIiUpWsrCyJY2UnHeRs79u+csq54AQn/5K24twZxY0ZMwZVqlTJs45QKERCQgJiY2Px9OlTBAYGIikpSaJORkYGPD09ceHCBZw8eRJ16tRRSnzHjh3DsWPHCt1Ov379sHHjRiVEpP3ySsgxMjJSYyT/4+LiUuBrc0v+atSoUYHbtLCwkCrLTkjNy7dJG9lxKOOzvrGxMSpVqoQ3b96Iy0QiER49eoT27dsr3F5hxsvUrUGDBujXr59S27xy5Qp8fHwK3c7EiROlfu/e3t748uULypQpk+/1O3fulHp/ZWxsLPeiLvfv35cqK+yuK9ltqCJZR13Pu+TkZDx58gTv379HQkICEhISkJSUlOsub+/evZMq0/ROkRwHJl2h0WSd4r6dIhHl7c2bN/D19UVYWBjS09NhZWWFmjVrokWLFlzBjoiIiIiIiIhIxTQxNtOhQwd4eXkBAF6+fKmSPoh0UWFWkgwMDFR6mznZ2NhIlX358qXIxKOrLCwssHDhQoWvCw0Nxfbt27F27VokJydLnDt48CBSUlJw9OhRrZjc6uzsjL179xapyTtERES6qnz58gD+N8/o9u3bSktICAoKQmxsrLjtcuXK5Vo3ISFBfN/U1FQp/RNx7ozmjRgxAq6urgpdk5aWhqNHj2LlypV48uSJxLn379+jQ4cOuHbtGpycnJQYacEYGxtj5cqVmD59us7M10xNTc31nLJ3Z5NX2bJlC3zttzuZZ5MnUUKRNnP+ncuNrHEbZY3ZAF/HbXIm6wAFH7fRhv9/8qpbt26BxmHykpmZqZRknYEDB2LmzJkSOy+lp6djz549mD17dp7XCoVC7Ny5U6q8f//+cu2WlJaWhqCgIKnyevXqyRF53pTRhiyqfN7dv38f//77L86ePYvXr1/nmpgjr9jYWOUEVkAcByZdobFkHZFIpKmu5VYUYiRShg8fPsDX1xf37t2Dr68vHjx4IPHm297eHsHBwUrrz8vLCx4eHrlmqZqZmcHd3R1LlixB6dKlldYvEREREREREZE20qWxmfT0dPF9bZioTVQcmJqawsDAoMDXv3//XmZ5YSZ85CevVRu1LR5STKVKlbBs2TKMGDECXbp0kZpg4+3tjTVr1mDevHkaihCoX78+JkyYAHd3d05+JCIiKiIqVqwovi8SiXDmzBlER0fD2tq60G3v2bNHfF8gEEj09a2ck/tU+f6UNEOXxmeo8IyMjDB06FAMGDAAU6ZMgaenp8T5L1++YPDgwXjw4IHSdhdVlLW1NUaNGoUpU6agatWqGolBUyIiImSWlyhRQmPJlpaWlgW+Vk9PTy1t5rW7XLaQkBCpss2bN2Pz5s0FjiU/BR23KczPh/7H2NgY7u7uWLdunUS5p6dnvsk658+flznWN378eLn6jomJkTmPW9aOKYpSRhuyqOJ5d/fuXUyePFnpu8LExcUptT1FcRyYdIVGknUePXokvq+pTOX8HDp0CCkpKZoOg0hlbt26hXXr1uHevXv4+PGjWvpMS0vD2LFj8e+//+ZZLzExEZs2bcKhQ4dw5MgRtGnTRi3xERERERERERGpi66OzeRcya9WrVpKa5dIl1lYWBTq+vDwcCVFIr+8vhTVtnioYBwdHXHu3DnUr18fSUlJEueWLl2KoUOHwt7eXmX9lyhRAqVKlYKFhQWsra1Rt25dNG7cGC1atFDZyqlERESkOi1btoSpqal4576kpCTMnDlTItGmIIKCgvD7779DIBBAJBJBIBCgU6dOMuu+ffsWycnJEAgEEAgEcHBwKFTfpB10dXyGlMfQ0BB///03QkNDce7cOYlzjx8/xvr16/Hzzz+rNAYzMzNYWFjA0tISVatWRePGjdG4cWO4urrq7AIFuf1/rlChQq6JL6qmioWL1L0YUmxsbJ67FqlKQcdtCjtmRv8zYcIErF+/XiJx5uXLl7h27Rratm2b63XfJjICX3dNkfdvWm47v5QqVUqu6/OijDZkUfbz7ueff8aaNWtUsvmEPAl6qsRxYNIVGknWKQqD4NWrV9d0CEQqdf/+fRw/flxt/QmFQgwePBje3t4S5fr6+qhcuTIsLCzw7t07iWzdL1++oGvXrrh06RKaN2+utliJiIiIiIiIiFRNF8dmHjx4gLNnzwIA7Ozs0K5du0K3SUQo1K46AMQTHtUp5y5b39K2eKjgHB0dMWXKFKxevVqiPD09HZs3b8aaNWsK1b4qJikQERGRdjI2NkbXrl1x5MgRcWLNvn37UK5cuQK/p3j16hU6deqEtLQ0CAQCcfnAgQNl1vf19ZU4dnZ2LlC/pF10cXyGlE9PTw/r1q3DhQsXIBQKJc5t3LgRs2bNKtRn9127dsHd3b2QUeqWZ8+eySyvVKmSmiMpXjQxZgN8TXIsiMKOmdH/VKtWDR06dMClS5ckyj09PXNN1gkPD8fJkyelyseNGyd3v6pM1lFVMpcyn3fTp0/Hhg0blNaetuE4MOkKzaQJE5FWMzMzU3qbv/32m9Rgw8SJExESEoK3b9/i0aNHiI6OxrFjx1C5cmVxneTkZAwaNEjjW+4REREREREREalLcRybSUxMhLu7u3iltpUrV/LLUiItoekVFL+lbfFQ4YwYMUJm+cGDB9UcCRERERV1S5cuRYkSX9ckzk7YWbduHVq3bo379+/L3U5SUhLWrFmDhg0bIjQ0VGJXncGDB8PJyUnmddmTTbMThpk0UfwVx/EZUh1nZ2c0bNhQqvzjx4+4ceOGBiLSbQEBATLL69atq+ZIiheO2ei2iRMnSpUdPXoU0dHRMuvv2rULmZmZEmVGRkYYNWqUSuIrbo4cOZJroo6enh7atGmD+fPn4/Dhw7h79y5CQ0MRHR2N5ORkCIVCiEQiiZuPj4+aH0H++JpCukIjO+sQkfYwNzeHi4sLGjdujCZNmqBx48Z49+6dUlc2jYqKwooVKyTKVq5cKbXNq56eHvr27YsmTZqgVatWCA4OBgCEhYVh/fr1WLZsmdJiIiIiIiIiIiLSBrowNiMUCjFs2DA8ffoUADBkyJBcJ28TkfoZGxvLLF+2bBn09NS/5pu2xUOFU6tWLdjY2CAqKkqiPDQ0FCEhIRITEImIiIjy4uzsjNmzZ2PVqlUQCATiJJtbt26hWbNmcHZ2Rrdu3dCwYUM4ODjAwsIChoaGSEhIQFRUFB4/foy7d+/i1KlTSE5OFifoZLOyssLvv/8us+/ExEScOnVK3Keenh5cXV3V9MhJHXRhfIZUr02bNnjw4IFU+c2bN9G+fXsNRKS7cpuULiuhiuSX25hN27Zt0bFjR5X126ZNG5W1TfLr3bs3KlSogE+fPonLUlNTsXfvXkyfPl2irkgkwvbt26Xa6NevH2xsbOTuM7fdb+Lj4+VuIzfanACbmpqKWbNmyTw3dOhQLF++HFWqVFGoTW3cUYbjwKQrmKxDpEHh4eEIDQ1F48aNC92Wj48PmjRpAlNTU7nq9+zZE506dULNmjWl/rC9e/eu0PHktGbNGiQkJIiP27Rpg7lz5+Za387ODtu3b5d4E//7779j2rRpCr1ZIyIiIiIiIiLKC8dmZFPm2IxIJMK4ceNw4sQJAEDTpk1lfklHRJpjZWUls3zKlCmwtrZWczTaFw8VXoUKFaSSdQDg1atXTNYhIiIihaxYsQJhYWHYt2+fRMKOSCTC06dP8ezZs3zbyN4ZJztRRyQSwdLSEufOnUO5cuVkXrNr1y6Jz9WtW7fm3AUl4viMbJw7U/TY2trKLH/16pWaI9Ftz58/x+vXr2WeU2YCni6ysLAQ/+3NqW7duli4cKGGoiJ1KVGiBH744Qd4eHhIlHt6ekol61y+fBlv376VamPcuHEK9WlpaSmzXBnJOspoQ1XOnz+PkJAQqfKffvoJq1evLlCbue2ApEkcByZdodOpZ7NmzUK/fv3Qr18/9O/fX9PhkI6JiYlBp06d4ObmhocPHxaqrTNnzqBLly7o1asXUlNT5brmu+++g7Ozs8ozUIVCIXbt2iVRtnTpUokVamTp0KEDWrduLT5OSEjAf//9p5IYiYiIiIiIiEj3cGxG9WMzIpEIkyZNws6dOwEADRo0wLlz5+SeMENE6pFbsoSs5Ap10LZ4qPBKlSols5y/UyIiIlKUQCDA7t27MW3aNImybxN38rpl1wW+fm6tWrUqLl68iEaNGuXab+fOnXHnzh3xbc+ePSp/rLqC4zOcO1Oc8LOPdvj2/1q2GjVqwNHRUc3RFC+GhoYoX768VDmf47pj3Lhx0NfXlyh7+vQpbt++LVG2bds2qWurVaumcMKctbW1zL+VykiC1OZEypMnT0qVOTo6Yvny5QVuMzIysjAhqQTHgUlX6HSyzpUrV+Dt7Q0vLy94eXlpOhzSIUlJSejWrRseP36MuLg4dOrUCYGBgQVq69KlS+jfvz/S09Nx5coVDBgwABkZGUqOuOBu376NL1++iI+rVq0q93bQY8eOlTjm/1MiIiIiIiIiUgaOzbjKdW1hx2amTp2Kv//+G8DX1RUvXryY60p4RKQ5zs7OMstfvHih5ki+0rZ4qPByW6lU1RMiiYiIqHjS09PDH3/8gStXrqBGjRriJBxAMnEnt1t2fQMDA0ybNg2BgYFwcXHJs8/q1aujadOm4lulSpXU8VCLPY7PuMp1LefOFB387KN5MTEx2Lp1q8xz33//vZqjKZ5kjdtwzEZ3VKpUCd26dZMq9/T0FN//8uULvL29peoouqsOABgZGaFatWpS5QEBAQq3pYo2VOXBgwdSZd9//z0MDAwK3Kafn19hQlIJjgOTrtD5d4LfbslHpA56enowNjYWH0dHR6Njx45ybcmc07Vr19C7d2+JFUGMjY216kPe6dOnJY7d3NzyXRkkZ92crl69iqSkJKXFRkRERERERES6iWMzqh+bmTp1KjZv3gwAqFOnDi5fvgwbGxu5riUi9WrYsKHML3qvXr2q/mCgffFQ4YhEInz8+FHmuXLlyqk5GiIiIipO2rZti2fPnuHSpUsYNGgQbGxs8t1VR09PD/Xr18fKlSsRFhaGP/74AyVLltT0Q9FZHJ/h3Jni5sOHDzLL+dlHfRYuXCgzacrAwADjx4/XQETFT7NmzaTK/P39ERcXp4FoSBN+/PFHqbL//vtP/H9v9+7dSE9PlzhvaGgId3f3AvXXpEkTqbJbt24VqC1lt6Eqnz9/liqrXbt2odr8dvcjReX2vqowc/A5Dky6Qns+lWiIvB98iJTJxMQEJ0+eRIsWLcRlX758QYcOHeTeXu/27dvo0aMHkpOTxWU9e/bEgQMHpLYa1CR/f3+J45yPOT+2trZwcHAQH6enpys8KENERERERERE9C2OzcinoGMz06ZNw6ZNmwAAtWrVwuXLl1G6dGm5+yUi9SpZsqTMFZ29vb2RlZWl8/FQ4Tx58gTR0dEyz1WoUEHN0RAREVFx1L59exw8eBARERF4/fo1jh8/ju3bt+O3337D8uXLsXHjRuzbtw/Xrl1DXFwc/Pz8MHfuXH5O1QIcn5EP584UHdeuXZNZzs8+6nH69Gn89ddfMs+NHTuWvwclkbWrilAo5K5fOqRz586oUqWKRFlycjL27dsHANi+fbvUNX369EGZMmUK1J+sZJ3AwMBC7b4SHR2N8+fPF/h6VYuKipIqs7KyKnB79+/fR1BQUGFCgpmZmczylJSUArfJcWDSFTqfrEOkKWZmZjhz5gwaNWokLgsPD0f79u3x7t27PK+9f/8+unbtisTERHFZp06dcPjw4UJtdacKz58/lzjObeu63Hxb/9v2iIiIiIiIiIgKgmMz8lF0bGb69OnYuHEjgK+JOleuXCnwl3BEpD5Dhw6VKnvz5g0OHTqkgWi0Lx4quD179sgst7Ozg6Ojo5qjISIiouKuatWq6N27N8aMGYNZs2Zh/vz5mDx5MoYOHYrWrVtzFx0txPEZ+XDujPZ7/PgxHj16JPNc27Zt1RyN7rlx4waGDBkic4cHCwsL/PLLLxqIqnhq3ry5VKIGAKxatQpCoVADEZG66enpYdy4cVLlnp6euHr1Kl6+fCl1rjA7W/Xq1Uvmri6enp4FbnP37t3IyMgo8PWqZmpqKlUmK4FHXn/++WdhwgEAmJubyyzPbZEeeXEcmHQBk3WINMjCwgLnz59H3bp1xWVhYWFo3749QkNDZV7j7++Pzp07S2zZ6erqCi8vLxgZGak8ZkWkpKQgJCREoqxSpUoKtfFt/cJm+BIRERERERERZePYTP4UGZuZOXMmNmzYAODrJJIrV66gbNmyCvVHRJoxZMgQmYl18+bNw5cvX3Q+HiqYoKCgXFc17tWrl5qjISIiIiJtxfGZ/HHujHbLysrCrFmzck0UkbVrACnPtm3b4ObmJpG4l5OnpycXE1IigUCAKVOmSJW/ePECv/32mwYiIk0YO3YsDA0NJcr8/f0xY8YMqbrfffcd2rdvX+C+7O3t0bFjR6nyzZs34+3btwq3FxkZieXLlxc4HnWQ9Zp18+bNArV1+fJl7N+/v7AhoVy5chAIBFLlhX1PwnFg0gVM1iHSMGtra1y6dAlOTk7isuDgYLRv3x4fP36UqPv06VO4ubkhJiZGXNaiRQucPHkSJiYmaotZXpGRkRIfRA0MDBSeoGFnZydxHBERkWvd169fY/fu3RK38PBw8fkjR45InDty5IhCsRARERERERFR8cOxmbzJOzYzd+5c/PHHHwC+fpG0ceNGRERE4MmTJ7nePnz4oNgDIiKVMTY2xpIlS6TKQ0JC0K9fPyQlJSmlH5FIhIcPHxa5eEhxL1++RNeuXZGcnCx1Tl9fHxMmTNBAVERERESkrTg+kzfOndFeaWlpGD9+PC5evCjz/Lhx47Rup6fi4ubNm3B1dcWECROQlpYms87s2bMxcOBANUdW/P34448ykw7nz5+P48ePK62fDx8+SP0NIO1QtmxZ9O3bV6o8ICBAquyHH36QmeShCFk786SlpWH06NG5/v+XRSgUYvz48RLvIbRRw4YNpcr27dun8O46ISEhcHd3l5lMqqhSpUrBwcFBqvz06dOFapfjwKQLmKxDpAXKlCmDy5cvw9HRUVz2+vVrdOjQQfwBOygoCB06dEBkZKS4TqNGjXD27FmYmZmpPWZ5fLtiQcmSJRV+4/Xtln65rYIAfP0QNnr0aIlbzszdOXPmSJybPXu2QrEQERERERERUfHEsZncyTs2c+jQIfH9L1++oEOHDqhTp06etwULFigUCxGp1sSJE9G8eXOp8ps3b6Jx48Z49uxZgdtOTk7Gtm3b4OTkhMmTJxfJeEg+oaGhWLx4MerXr493797JrDNx4kTUq1dPzZERERERkbbj+EzuOHdG+6SmpmL//v1wcXHBzp07ZdapUKECFi9erObIii+hUAg/Pz+sXr0a9erVQ+vWrXHt2rVc60+ZMoU7vaiIiYmJzJ10hUIhBgwYgKVLl0IoFBa4/YCAALi7u6NKlSoIDAwsTKikQhMnTsy3joGBAUaPHl3ovvr164eWLVtKlV+/fh3Dhg1DSkpKvm1kZmZi4sSJSk0oU5VOnTpJlcXFxeH7779Henq6XG08f/4crVu3RlhYmNLiatq0qVTZli1bcPbs2UK1y3FgKu5KaDoAIvqqQoUKuHLlClq3bo33798D+Lo9ZIcOHbB9+3b0798fnz9/FtevV68eLly4gFKlSmkq5Hx9OzhgbGyscBvfrnqS14ADEREREREREVFBcWxGNo7NEOkOfX197N+/H02bNpVapfn58+eoV68ehgwZgmnTpsHFxQV6enmvB/fhwwdcv34dR44cwblz58Q7rMj6UrcoxKNr4uLisHz58nzrZWRkID4+Hp8/f8ajR48QFBSU52qdjRo1wq+//qrMUImIiIioGOH4jGwcn1GtvXv34ubNm3nWEYlESEhIQGxsLJ49e4ZHjx7J3Ek0m4mJCfbt2wdzc3Nlh1tsbNq0CZaWljLPZWVlIS0tDQkJCfj06ROCg4Px7NkzuSbkGxgYYP369ZgyZYqSI6acunfvjjlz5kglRAmFQixbtgz//vsvZs2ahcGDB8PKyirPttLS0hAQEICTJ0/i6NGjeP78uSpDJyVxdXWFk5NTnr+vXr16oVy5coXuSyAQYOvWrWjQoAEyMjIkzh09ehRPnjzBxo0b0aFDB5ljhLdu3cL06dMldlapVasWnj59WujYVGHQoEGYO3euRHIyAFy8eBHNmjXDxo0bZSYvAUB4eDj+/PNPrF+/XiKxp1GjRnjw4EGh4ho+fDgOHjwoUZaWloZu3brB2dkZTZs2RYUKFWTudGhvb48RI0bIbJfjwFTcMVmHSItUqlQJV65cQZs2bfDhwwcAwJMnT9CsWTOJes7Ozrh48WK+b2Q1LTU1VeLY0NBQ4TaMjIwkjvP60OXu7g53d3eF+yAiIiIiIiIiAjg2I4u8YzPBwcEKt01E2sfBwQFnzpyBm5sbYmJiJM5lZmZi37592LdvHywtLdG8eXNUrFgR1tbWMDIyQlxcHGJjY/Hx40f4+/vjy5cvxS4eXRIbG4tFixYptU0XFxdcvHhRqydSEhEREZHmcXxGGufOqFZuO+MUlLGxMby8vNC+fXultlvcrFu3Tulttm7dGps3b0adOnWU3jZJW716NSIiIrBnzx6pc69fv8aPP/6ISZMmoXbt2qhXrx6sra1hZWWF1NRUxMbGIiYmBs+fP8fz58+RmZmpgUdAhTVhwgTMmDEj1/Pjx49XWl+1atWCh4cHfv75Z6lzQUFB6NSpEypWrIg2bdrAzs4O+vr6+PDhA27fvo03b95I1DcwMMCOHTuk3ltoCzMzMyxYsAAzZ86UOvfo0SO0atUKNWrUQPPmzVGhQgUIBAJ8/vwZT58+xb1796QW0qlduzY8PDzQtWvXQsXVpUsX1K1bV+aOV8+ePctzB5y2bdvmmqwDcByYijcm6xBpmapVq+Ly5cto27atxGog2apVq4bLly+jTJkyGohOMd+uBiLvFnw5paWl5dkmEREREREREZEycWxGEsdmiHSPi4sLbt68id69e+P169cy68TGxuLs2bM6GQ8pzsDAAD/99BMWLVokNcmQiIiIiEgWjs9I4vhM0dG2bVts27YN1atX13QoOqVNmzaYM2cOevTooelQdIpAIMCuXbtga2uLVatWydxpVyQS4fHjx3j8+LEGIiRVGzVqFObNmyczibRKlSpwc3NTan9z585FSEgItmzZIvN8WFgY9u/fn287f/31l9bvsjJ9+nTcuHEDx44dk3k+KCgIQUFB+bZTsWJFnDlzRiphqSD09fVx6NAhtGjRQiqhRhk4DkzFVd57QRGRRtSoUQP//vuvVLmenh68vb1Rvnx5DUSlODMzM4njb1cLkce3b+S+bZOIiIiIiIiISNk4NvM/HJsh0k3Ozs549OgRJk6cCH19faW1W7JkSbRr167Ix0PysbGxwdSpUxEYGIjly5czUYeIiIikVK1aVXzr2bOnpsORqXv37uIYv/vuO02Ho1M4PvM/HJ/Rbvr6+ujSpQuOHDkCHx8fJuqoQYkSJdCkSRN4eHjg5cuXuHbtGhN1NEQgEODXX3/F+fPn4ejoqNS269Spg8qVKyu1TVIuS0tLDBkyROa5sWPHQiAQKL3PzZs3Y9myZdDTU3z6u6GhIXbt2oWxY8cqPS5lEwgE2Lt3LwYNGlTgNlxcXHD37l1UqlRJaXHVrFkTAQEB6NKli0p+vxwHpuKIO+sQaaHIyEhMnz5dqlwoFGLixIk4e/YsSpYsqYHIFPPt4EBycjJEIpFCf6STkpLybJOIiIiIiIiISNk4NvM/HJshyp2DgwOWLFkiVe7q6qr+YFTAzMwMf/31F6ZOnYp169bh4MGDSE5OLlA7bdu2Rf/+/TFw4MACv45oWzz0lZ6eHszMzGBhYQELCwtUr14dLi4uaNSoEVxdXWFoaKjpEImIiEiLBQcHQyAQQCQSwdLSUtPhyPTx40cEBwcDgEomJFLuOD7zPxyf0Q4mJiYoVaoULCwsYGtri4YNG6Jhw4Zo164dbG1tNR1esSEQCGBkZARDQ0OYm5ujbNmyKFeuHBwcHODk5IRatWqhadOm/H+gZdzc3PD06VPs2bMHmzZtQmBgYIHaqVmzJrp27YoRI0agQYMGSo6SVEFWMnOJEiUwZswYlfW5ePFidOjQATNnzsT9+/fluqZdu3bYsGEDateurbK4lK1kyZI4dOgQOnToAA8PD4SFhcl1XdmyZTF79mzMnDkTJUooP02gUqVKOHv2LN6+fYsjR47Az88PT548QWRkJBISEgo0ZpsTx4GpuBGIZO09pyMaNGiAwMBA8QegrKwsTYdEhJiYGLRv3x7+/v651unYsSNOnjypsm1tr169KpFFam9vLx58UkRKSgpMTU0ltrgMDw9HuXLl5G5j4sSJ2Lp1q/h43rx5+PXXXxWOhYiIiIiIiIhIHhybkcSxGSLKlpKSgosXL+LGjRvw9/fHu3fv8OXLFyQnJ0NPTw/m5uYoVaoUbG1tUbNmTTg5OaFJkyZo1qwZDAwMin08pDq7d++W+Xdw6dKlao+FiIiIlEtPT0+crFO/fn34+flpOiQpnFukGRyfkcTxGd3g7+8PLy8vqfI+ffqgfv36ao+HqDBevHiB8+fPw9fXF0FBQQgNDUV8fDzS09NhamoKc3NzWFlZwdHRETVr1kSdOnXg6uoKOzs7TYdOCqpWrRpev34tUdanTx8cP35cLf3fvHkTR48exe3bt/Hq1SvEx8fDwMAA1tbWqFGjBlq0aIH+/fsX+eSv9PR0eHl54dKlS7h79y4+f/6MmJgY6Ovrw8LCAlWrVkX9+vXRqVMndO3aVWqH6+TkZISEhEi1W7NmTXU9hALjODAVddxZh0iLxMfHo0uXLhKDDXZ2dli3bh3Gjx+P+Ph4AMClS5fQv39/HD9+XKtXpTMxMUHlypXx/v17cVlISIhCAw7fvkEoCm8OiIiIiIiIiKho4tiMNI7NEFE2ExMT9OrVC7169dJ0KAC0Lx5SHXd3d02HQERERERqxPEZaRyf0Q3169dnUg4VGzVr1uRrlQ64du2aVKIOAIwfP15tMbRq1QqtWrVSW3+aYmhoiEGDBmHQoEEFur5kyZJF9v8kx4GpqNPTdABE9FVSUhK6desGX19fcVn58uVx5coVDB48GGfOnIGpqan43JkzZzB48GBkZmZqIly5ffsH/tmzZwpd//z58zzbIyIiIiIiIiJSBo7NyMaxGSIiIiIiIiJSF47PyMbxGSIi0kZ///23VJm9vT06d+6sgWiIiLQTk3WItEBKSgp69uyJW7duicvKlCmDS5cuoXr16gCAli1b4tSpUzAxMRHX8fLywvDhw7V6m+VvV3y4ffu23Nd++vRJYgthAwMDODs7KykyIiIiIiIiIqKvODYjG8dmiIiIiIiIiEhdOD4jG8dniIhIG3369AnHjh2TKp8wYQL09Dg1nYgoG18RiTQsPT0d/fr1g4+Pj7jM2toaFy9eRK1atSTqurq6wtvbG0ZGRuKyQ4cOYcyYMRAKhWqLWRE9evSQOL506RJEIpFc1164cEHiuF27djAzM1NabEREREREREREHJvJHcdmiIiIiIiISF0CAgKgr6+vdbfAwEBN/2h0AsdncsfxGSIi0kZr1qxBenq6RJmRkRHGjRunoYiIiLRTCU12XrVqVU12j48fP2q0f6KMjAwMHDgQ586dE5dZWFjg/PnzqFevnsxr3NzccPToUfTr10/8Zueff/6BoaEhtm3bBoFAoJbY5dWiRQuULl0akZGRAIC3b9/i6tWraNeuXb7X7tixQ+K4d+/eKomRiIiIiIiIiHQTx2byxrEZIiIiIiIiUhd5Exc0Qds+6xc3HJ/JG8dniIhI2zx9+hSbN2+WKh8+fDhKly6tgYiIiLSXRpN1goODIRAINPqBW9s+nJHuyMrKwrBhw3DixAlxmZmZGc6ePYtGjRrleW337t1x8OBBDBo0CJmZmQCA7du3w8jICJs2bVJp3IrS09ODu7s71q5dKy5btmwZXF1d8/z/d/nyZdy4cUN8bG5ujkGDBqk0ViIiIiIiIiLSHRyb4dgMERERERERaQfO3dFdHJ/h+AwRERUtz58/R69evZCRkSFRbmBggIULF2ooKiIi7aWn6QCArx+6NXUj0gShUAh3d3ccPnxYXFayZEmcPn0azZs3l6uNvn37Yt++fdDX1xeXbd68GbNnz1Z6vIU1d+5ciS14r127htWrV+da/8OHD/jhhx8kyqZPn86sayIiIiIiIiJSCo7NcGyGiIiIiIiItINIJCoSN1I+js9wfIaIiLRXYGAgli9fLr7NnTsXnTp1Qp06dfD27Vup+hMnToSDg4P6AyUi0nIa3VmHSFfFxMTgzp074mNjY2OcOHECbdq0UaidwYMHIy0tDaNHj4ZQKAQAXL16FSkpKTAxMcn3+lu3biElJUWqPCAgQOI4NTUVly5dktmGra0tnJ2d8+yndOnSmD9/PubPny8umzdvHkJCQrBw4ULY2toC+DoQc+LECUyfPh0hISESfcyaNSvfx0NEREREREREJA+OzXBshoiIiIiIiDRvyZIlmg6BNIjjMxyfISIi7eXn54dFixbJVdfe3h6//vqriiMiIiqaBCINLv+gp6cVG/sA+Lq7T1ZWlqbDIB3y/v17tGrVChEREfDy8kLXrl0L3JanpycmTJiAWrVq4erVq7CxsZHrOgcHB7x//77A/QLAqFGjsHv37nzrCYVC9O7dG6dOnZIo19fXh729PSwsLPDu3TvExsZKnDcxMcHFixfRsmXLQsVJRERERERERJQTx2a+4tgMEREREREREWkKx2e+4vgMERFpm927d2P06NH51jM3N8fly5fRuHFjNURFRFT0aHRnnezVDIh0kb29PS5duoRXr14VarABAMaNGwcTExN07NhR7sEGddPT08Phw4cxevRoHDx4UFyelZUlc1tEALCxscGRI0c42EBERERERERESsexma84NkNEREREREREmsLxma84PkNEREVR9erVsXfvXibqEBHlQXu2tiHSQTVq1ECPHj2U0tbw4cNRvnx5pbSlKsbGxjhw4ACOHDmC+vXr51rP1NQUkyZNwrNnz+Dq6qq2+IiIiIiIiIhIt3BsRjaOzRARERERERGRunB8RjaOzxARkbYpWbIkHBwcMGDAAPz77794/PgxmjRpoumwiIi0mkAkEok0HQQR6abXr1/j3r17+PDhA9LT02FpaQknJye0bNkSxsbGmg6PiIiIiIiIiKhY49gMEREREREREZFmcXyGiIiIiKj4YrIOERERERERERERERERERERERERERERERERkZLoabJz5gkRERERERERERERERERERERERERERERERFRcaLRZJ1y5cph7Nix8Pb2RkpKiiZDISIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIio0gUiD29vo6elBIBAAAIyNjdGxY0f06dMHPXv2ROnSpTUVFhEREREREREREREREREREREREREREREREVGBaEWyTnYI2Yk7enp6aNasGXr37o3evXujWrVqmgqRiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiISG4aT9YB/pekA0AqcQcAatasKU7cadq0qXqDJCIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIpKTRpN1Hj58CG9vb3h7e+Px48f/C+r/J+rkDC27rFy5cujVqxd69+6NDh06wNDQUL1BExEREREREREREREREREREREREREREREREeVCo8k6Ob17906cuHPz5k1kZWUByDtxx9TUFJ07d0bv3r3Ro0cPWFpaqj1uIiIiIiIiIiKi4i49PR0vXrxAcHAwPnz4gISEBGRkZKBUqVKwsbFB3bp14eTkBH19fU2HSkREREREREREREREREREpHFak6yTU3R0NE6dOgVvb29cuHABSUlJAP6XpAP8L3knu0xfXx+tW7dG79690bt3b9jb26s/cB0jEokQHByMx48fIywsDLGxsTAyMoKVlRWqVauGxo0bw9jYWNNhEhERERERERFRARw5cgSXLl3CrVu38OLFC2RmZuZZ38LCAt9//z2mT5+OmjVrqilKIiIiIiIiIiIiIiIiIiIi7aOVyTo5paWl4eLFi/D29sbJkycREREBIO/EHQCoW7euOHGnQYMG6g1aBT58+ABfX1/cu3cPvr6+ePDgARISEsTn7e3tERwcrPI4YmJi4OXlhXPnzuHKlSuIjIzMta6BgQG6d++OGTNmoG3btgr1s3TpUixbtqzAcY4aNQq7d+8u8PWFFRsbi2vXromPK1WqBCMjI43FQ0REREREuiUtLQ2hoaHi47Zt23I3WiJSWMWKFfHhwweFrzMwMMD8+fOxZMkSifE6deLYDBERERERaRLHZoiIOD5DRERERESapQ3jMyXU2lsBGBkZoUePHujRowdEIhHu3LkDb29veHt74+XLl+J62V/8ZyfuBAQEIDAwEB4eHqhYsSJ69eqFPn36wNXVFfr6+hp5LIq6desW1q1bh3v37uHjx4+aDgeTJ0/G9u3bkZ6eLlf9jIwMeHl5wcvLCyNHjsTGjRtRqlQpFUepHa5du4Y+ffpoOgwiIiIiIiIAgJeXF3r37q3pMIioGDA2NkblypVhYWEBoVCIyMhIhISEIOd6QBkZGVi2bBlCQ0OxY8cOjcTJsRkiIiIiItImHJshIl3E8RkiIiIiItImmhif0VNrb4UkEAjQokULrF69Gi9evMCzZ8+wcuVKNG3aFIDkDjsCgQAikQgikQihoaHYsmULOnXqhDJlymDYsGH477//kJiYqMmHk6/79+/j+PHjWpGoAwD37t2Tmaijr6+PihUrwsXFBXXr1oWFhYVUnX/++Qdubm5a/zMnIiIiIiIiIqL/sbW1xbhx47B37168fv0aSUlJCAoKEu/8HBwcjKioKGzbtg0VK1aUuHbnzp3YtWuXhiInIiIiIiIiIiIiIiIiIiLSHK3fWScvNWvWRM2aNTF37lyEh4fj5MmT8Pb2xuXLl5GWlgbgfzvuAF+TeWJjY3Hw4EEcPHgQhoaGcHV1Re/evdGrVy/Y2tpq6qEozMzMTKOJL5aWlhg6dCi6d++O1q1bw9zcXHwuKysLN27cwOLFi3Hjxg1xua+vL9zd3XHkyBGF+1u7di3q1asnd/2i9LskIiIiIiIiItJGZ86cQZ06dSTG12SxsrLCuHHjMGDAAHTs2BF+fn7icwsWLMCoUaOgp1ek1gwiIiIiIiIiIiIiIiIiIiIqlCKdrJNT+fLlMW7cOIwbNw5JSUk4d+4cvL29cfr0acTExACQTtxJS0vDhQsXcOHCBUyePBkuLi7o06cPevfujVq1amnqoUgxNzeHi4sLGjdujCZNmqBx48Z49+4d2rVrp/ZYHBwcsHDhQgwdOhQmJiYy6+jr68PV1RU+Pj6YNGkStm3bJj539OhR+Pj4KBy7i4sLXF1dCxO6WlWqVEni2MvLC46OjhqKBkhMTISvr6/4uEmTJjAzM9NYPETqwOc96Ro+50nX8DlPukbR5/zr16/Rp08f8fG3n1GIiORRt25dhepbWVlh3759qFWrlngH7E+fPuHWrVto3bq1KkLMlbaNzQB8/0K6h8950jV8zpOu4XOedA3HZoiIFKdt4zN8/0K6hs950jV8zpMu4vOedE1RHJ8pNsk6OZmamqJ///7o378/srKycP36dXh7e8Pb2xvv378HIJ24AwAPHjzAw4cPsWjRIlSpUgV9+vTB2rVrNfIYAKBnz57o1KkTatasKbX66Lt379Qez7Jly+Dm5gZDQ0O56uvr62PLli3w8/PDgwcPxOXbt2/XSKKROhkZGUkcOzo6ajQBLD4+HuHh4eJjJycnlCpVSmPxEKkDn/eka/icJ13D5zzpmsI+57/9jEJEpCpOTk5wcXGRGAt6/vy52pN1tG1sBuD7F9I9fM6TruFznnQNn/Okazg2Q0SkOG0bn+H7F9I1fM6TruFznnQRn/eka4ri+Ixe/lWKNn19fbRr1w5//PEH3r17h0ePHmHp0qWoV68eRCKROFFHIBBAIBCIy96+fYvff/9do7F/9913cHZ2lkrU0ZTu3bvLnaiTTV9fHz/99JNE2fnz55UZFhERERERERERaZHvvvtO4jgyMlJDkRAREREREREREREREREREWmGdmSBqFG9evWwePFi+Pn54f3799iwYQPat28PfX19icQdUp5vV06NiopCcnKyhqIhIiIiIiIiIiJVSk1NlTi2tLTUTCBEREREREREREREREREREQaonPJOjlVqlQJU6ZMwaVLlxAREYF9+/ZhwIABMDU11XRoxYqVlZVUWVxcnAYiISIiIiIiIiIiVRKJRLh//75EmYuLi4aiISIiIiIiIiIiIiIiIiIi0owSmg5AW1haWmLo0KEYOnQo0tPTcfnyZZw4cULTYRULHz58kCqzsbHRQCRERERERERERKRKO3fuxMePH8XHNWvWRJMmTTQYERERERERERERERERERERkfoxWUcGQ0NDdO3aFV27dtV0KMXCjRs3JI7t7e1haGiocDtpaWl4+/YtoqKiYGBgABsbG9ja2qJkyZLKCpWIiIiIiIiIiApoz549mDRpkvhYT08PmzZtgkAgKFS7ERER+PLli0LXvH79WuI4MTER8fHxhYqjsJKSkvI8Jipu+JwnXcPnPOkaPudJ1yj6nE9MTFRlOESUi7S0NCQlJSEzMxMlS5aEqalpoccliIiIiIiIiAqKyTqkcjt37pQ47tatm8JtTJ48GW/fvkVqaqpEeYkSJeDi4oKuXbti0qRJKFOmTKFilaU4TAjhFyaki/i8J13D5zzpGj7nSddwQggRaYOXL18iJCREfJyRkYGYmBg8efIE3t7eePbsmficoaEhtm3bhg4dOhS63y1btmDZsmWFasPX1xfh4eGFjkWZfH19NR0CkVrxOU+6hs950jV8zpOuye85n/OzExEp3+PHj3H//n3cv38fL1++RHBwMMLCwpCZmSlV19raGvb29qhSpQrq1auHxo0bo3HjxrC2ttZA5ERERERERKRLmKxDKnXmzBlcv35doszd3V3hdnJO9sgpMzMT9+7dw71797B69WrMnj0bS5Ysgb6+fkHClak4TgjhFyaki/i8J13D5zzpGj7nSddwQggRacKWLVvw559/5llHIBCgS5cuWLlyJerVq6emyIiIiIiIiIioOEtOToa3tzdOnz6NCxcuICoqSuK8SCTK9dqoqChERUXh0aNHOHbsGICv4xcuLi7o1q0bevfujfr166syfCIiIiIiItJRTNYhlYmOjsaECRMkyvr06YMmTZqopL+UlBR4eHjgxo0bOHnyJMzMzFTSDxERERERERERyTZw4EBMmzaNiTpEREREREREVGhXr17Frl27cPz4cfFu47IScwQCQb5t5bxOJBLh/v37ePDgAX755RfUqlULo0aNwqhRo1C6dGnlPQAiIiIiIiLSaVqfrNO+fXuVta2vr49SpUrBwsIC1tbWqF27Npo0aQJnZ2eV9akrhEIhhg8fjrCwMHGZhYUFNmzYIHcbAoEAzZs3R/fu3dGkSRM4OTnB2toaenp6iIqKgp+fH06dOoU9e/YgNTVVfN3Vq1cxZMgQeHt7K3WHHSIiIiIiIiIiytt///2H//77D61bt8bOnTvh6OhY6DYnTZqEgQMHKnTN69ev0adPH/Fx9tiSJiUlJUnsjNakSROYmppqMCIi1eJznnQNn/P/IxKJxDcqvpKTk/Hw4UPxsYuLC0qWLKnBiIiUQyAQiG85Kfo6//z5c5XFSFTcZWRkYP/+/fj999/x+PFjAJKJNrkl5uT13kPW/+uc1zx58gQ//fQTFi1ahBEjRmDGjBkaH0cgIiIiIiKiok/rk3WuXr0q1woYylS6dGn88MMPmDBhAipXrqzWvouLOXPm4OzZsxJlW7duRaVKleS6vlOnThg6dCiqV68u87ytrS1sbW3Ro0cPLFy4EEOGDMGtW7fE50+fPo0tW7Zg6tSpBX8Q/19xmBDCLwlJF/F5T7qGz3nSNXzOk67hhBAi0gZ//PEH/vjjD/FxSkoKoqKiEBAQgOPHj2P//v1ISUkBANy4cQONGzfGxYsX0ahRo0L1W7ZsWZQtW7ZQbZiZmaFUqVKFakPZTE1NtS4mIlXic550ja495zMzM5GQkID4+HgkJydrOhxSg6ysLJQpU0Z8HBMTg/j4eA1GRKRcJUuWRKlSpWBubo4SJaSnVeT3Om9mZqbK8IiKJaFQiJ07d8LDwwNhYWG5Juh8m5RjaWmJihUrokKFCihZsiRMTExQokQJpKSkICUlBdHR0QgLC0N4eDgyMzMlrv223dTUVGzfvh07duzAgAED8Msvv+Q6b4WIiIiIiIgoP1qfrPOt/FbhyusDuqx6sup8+fIFq1atwtq1a7Fs2TL8/PPPBYxWN23YsAHr16+XKPvpp58wePBgudto0aKF3HUrVqyIS5cuoX379rhz5464fPny5Rg7dmyhV/EqjhNCdO1LQiKAz3vSPXzOk67hc550DSeEECnPmDFjNB2CQgQCAXbs2KHpMAAAJiYmqFixIipWrIju3bvj559/xsCBA+Hv7w8AiI2NRZ8+ffDkyRNYWlpqNFYiIiJSncTERKkJtURERV1ycjKSk5Px+fNnVKxYUdPhEBV7x48fx88//4zXr1+L31PknNeTXWZvb4927dqhcePGqFevHurUqQNzc3O5+hCJRHj9+jUCAgIQEBCAGzdu4O7du0hPT5fZ3+HDh3Hs2DGMGjUKK1asKPS8ESIiIiIiItI9RSZZR54tbXPWy20LW3nbE4lEyMjIwIIFC3Dt2jWcPHlS5oo5JGn//v2YMWOGRJm7uztWrVql0n6NjY3xzz//wMnJSbwSSkREBC5cuCCxww0RERERERERUU67d+9W+67OBSUSibQqWedbjo6OuHjxIho2bIjQ0FAAwIcPH/Dbb79hxYoVGo6OiIiIVIGJOrpLT09PYnK0np6eBqMhUh2RSISwsDBYWVlpOhSiYikoKAjTpk3DpUuXZCbp6OnpoVWrVhgwYAB69uwJBweHAvclEAhQrVo1VKtWDQMGDAAApKam4saNGzh69Ci8vLwQEREhEUNmZiZ27tyJI0eO4JdffsHkyZP5N4+IiIiIiIjkpvWfINu0aYM2bdqgbdu2aNu2LUxMTCTOZ69oYWRkBEdHRzRq1AgtW7ZE7dq1UaFCBfH5b78kcHJyQtu2bdGyZUs4OTnByspKol52so9IJMKFCxcwadIktT3mourUqVMYNWqUxM+6X79+2L59u1omvTg6OqJXr14SZRcuXFB5v0RERERERERU9OUcQ9LWW1FQunRpLFu2TKJs9+7dmgmGiIiIVCozM5OJOkSkE0QiESIjI4vMQg9ERUndunXFiTo5k3SqVKmCFStWICwsDNeuXcPUqVMLlaiTG2NjY7i5ueHvv//Gp0+fcP78efTr1w8lSpSQiCkuLg4zZszAmjVrlB4DERERERERFV9av1XM1atXAQCxsbEYOXIkUlJSxEk0NWrUgLu7O3r06IGaNWtCX19f6vro6GjcvXsX+/btw/Hjx5GWlgYACA8Px9KlSzFw4EBx3devX+PUqVPYsGEDgoODJRJ2duzYgd69e6N79+5qedxFjY+PDwYOHCje1QYA3NzccODAAZm/F1Xp0KEDjh07Jj4OCgpSW99ERKSdhEIhoqKiFLrGxsamQKtiabKvhIQExMXFiY8jIyPF73uU3Zc82Jfm+iIiIqKCKQqTrorKRNi+ffti7Nix4ng/fvyI9+/fw97eXsORqY+s93/5vWfn+z8iIipqEhISpN6fmJiYwNraGiYmJkXi/RUVXFZWFhITE8XHZmZmav1OkEhVRCIRUlJSEB0djZSUFIlyIyMjpKamajA6ouInIyNDIknH1dUVc+fORefOndUei0AggJubG9zc3BAREYFNmzZh8+bNiImJEceYnp6u9riIiLRRcf2unX0Vvi9195ezL3nmzSirL3mxL831RUSkLbQ+WQf4mnDTpk0bPH/+HAKBACVLlsTKlSsxefLkfAf6ra2t0a1bN3Tr1g1v3rzBhAkTcOXKFcTExGDIkCGIiIjA5MmTAXzdmWXGjBmYPHkyZsyYgb/++ktiUGDFihVM1pHh3r176NWrl8TAZIsWLXD8+HEYGhqqNZZKlSpJHH/58kWt/RMRKZOufFhWdV9RUVEoW7asQtdERESgTJky7It9Fcm+iIiIqGBEIhEMDAxga2ur6VCkfPz4UWKBFG1naWkJa2triff84eHhOpWsw/d/RESkC+Lj4yWOTUxMYG9vzyQdHSEQCCSSc0qUKMFkHSo2DAwMYG5ujvfv30sk7BgbGzNZh0gFRCIRunbtisWLF6Np06aaDgcAULZsWfzyyy+YO3cu/vrrL6xevRrR0dGaDouIiqDiuuBncf2unX0Vvi9198e+2BcRkbYrEsk6AwYMwLNnzwAA5ubmOH36NFq1aqVwO9999x3Onz+PYcOG4b///oNIJML06dNRs2ZNdOjQQVzPwMAAmzdvhlAoxNatW8W769y7dw8PHz6Ei4uL0h5bURcYGIiuXbtKrJzVoEEDnDlzBqampmqPx8DAQOI4IyND7TEQUfFWXJNM1N0fP3wRERERkTaqVasW/Pz8NB2GlAYNGiAwMFDTYRTKt2M2REREVLSJRCIkJydLlFlbWzNRh4iKDYFAAGtra3z48EFcpu6FKol0QePGjbF69Wq4urpqOhSZTE1NMXv2bEyYMAGrV6/WyDwYIiraOA+DiIiISLdpfbLOvn37cPXqVQBfB8R+++23AiXqZNPX18eePXvw8OFDvH37FkKhED/++COCgoKkvkDYsGEDTp8+LTEA5+Pjw2Sd/y8oKAhubm6IiYkRlzk5OeH8+fOwsLDQSEzh4eESx/wwQaQbZCXQ5LdCSFFJoCEiIiIiIipqEhISpFabLVeunIaiISIiIlUQCoVSZSYmJhqIhIhIdYyNjaXKshf6JCLluHfvnqZDkIu5uTmWL1+u6TCISEnUuUgrEREREek2rU/WWb9+vfh+lSpVMH78+EK3aWRkhIULF2L06NEAgDdv3sDLywt9+/aVqGdgYIDJkydj3rx54kSeGzduYPbs2YWOoah7//49OnbsiIiICHFZlSpVcPHiRY1OSL9586bEcaVKlTQUCRGpExNoiIiIiIiItMfp06clJq+VKVMGFSpU0GBEREREpGyyJqpzVx0iKm44IZeIiKh44hwTIiIiIlIXrU7Wef/+Pfz9/cWD+71791Za271794a+vr545S9vb2+pZB0A6NatG+bNmwfg6xcPb968UVoMRdWnT5/QoUMHhIWFicvs7Oxw+fJl2NnZaSyu2NhYHD16VKKsQ4cOGoqGiLgSCRERERERFSWcXKocKSkpWLJkiURZjx49+FmPiIiIiIiIiIiIiIiIiIh0ilYn6zx8+BDA1yQZgUCAGjVqKK1tS0tLlC1bFuHh4RCJROK+vlW7dm2YmJggNTUVABAdHa20GIqi6OhouLm5SSQtlSlTBhcvXkSVKlU0GBkwe/ZsxMbGio8NDQ3RtWtXzQVEpOO4EolmREZGIisrq0A3RZOrAODQoUMwMzODSCSCUCiESCSSuJ/bv/Hx8Qr3tXr1apQsWVLcBwDxfVnH2WVJSUkK9zVv3jwYGxuLj3OuFCrrfva/KSkpCvc1Y8YMmJiYyFyN9NuynMfZ700UMWXKFInHlVdfORWkr0mTJqmtr4kTJ+baV160vS8iIiJSr7zeo2gDdcf3008/YeDAgWjcuLHc10RHR2Pw4MF4+fKluExfXx8zZ85URYhERERERERERERExZpIJEJmZibS09ORkZGBjIyMXO9//vxZ4fZ37doFMzMzCIVCiVv2/I7cyhISEhTua/78+RJzI76d65FbWXJyssJ9TZs2Tfy9fl7zLr4tK8j3+j/++GOxnK9Q0L7U3R/7Kv59EREVdVqdrBMSEiJxbG1trdT2raysEB4eDgAIDQ2VWUcgEKB06dLiXWRiYmKUGoM2WLp0KZYtWyY+btu2La5evSpVLyEhAV26dMHTp0/FZZaWlrhw4QKcnJyUFs+qVavg5uYGFxcXuepnZmZi7ty52LFjh0T5xIkTUaFCBaXFRUS6TSQSITU1tUAJLR4eHihRogTS09PFt+xBk9xuGRkZBRpwcHZ2Vviawpg6dara+lq3bp3a+vr2b4oq7d+/X219/ffff2rr68iRI2rr69ixY8WyLyIiIlKPXr16iXfV0fRCJLlp164dHBwc1NrnhQsX8Ntvv6FJkyYYPHgw2rdvj1q1asHAwECinkgkQlBQEA4fPowNGzYgMjJS4vzMmTNRp04ddYZOREREREREREREpDZZWVlISEhAbGws4uLiEBcXJ76fPedQEd999x2ysrKQnp6OzMxMFUT8P3PnzlVp+zlt375dbX0dPHhQbX0dPXpUbX0V57kRxfWxsS8iItLqZJ1vJyl/+2V/YeWccJ3XSvilSpUS31f3Kqa3bt2SGVtAQIDEcWpqKi5duiSzDVtbW6VM3u7Vqxfu378vUfZ///d/iIyMzLXv3Li4uMDKykrmuXPnzmHevHlo0aIFBg0ahA4dOqBmzZooUULy6RoXF4czZ85gzZo18Pf3lzj33XffYfHixQrFRES6ZevWrQC+7rqSmJgovuV1LBQKC9TXxo0blRl6vgQCAfT19fO86enpSZWJRCKJFbDl0a5dOxgZGUFPTw8CgUDuf9PT0xVO5hg9ejRKliwpnkgpEAjEt7yOU1JSsHnzZoX6mjlzJkxNTSXayvZtWc5zycnJWL16tUJ9zZ8/H2ZmZhJlOdvMrTwxMRHLly9XqK/FixdL9JVbP9/2mZiYiKVLlyrU17Jly6QelzwSExOxZMkSha755ZdfCtyXou8XPDw8CtzXokWLFLpGKBTiy5cvCl1jY2MDPT09ha4hIiLSdV5eXpoOIV/r16/XWN++vr7w9fUF8HUXYzs7O1haWsLQ0BAJCQkIDQ3NdRXFUaNGKfz+mIiIiIiIiIiIiHSPUChUePFUdX43+tNPPyE9PV0iISc7Kacgu8zkJb/29PX1YWBgAENDQxgYGIjv6+npITg4WKG+unfvDmNjY+jp6Undsud4yLqlpqZi586dCvU1Y8YM8Xft387ryKssKSkJq1atUqivRYsWFXgeRs5Fz+WR39yI3PrV9vkKBe1L3f2xr+Lfl6Lzxjlvhoi0jUCk7uwTBWzbtg0TJ04Uv2H58ccfsWnTJqW0/eXLF5QvXx7A1wSc8uXL4+PHjzLrOjo64t27dxCJRLC0tER0dLRSYpCHg4MD3r9/X6g2Ro0ahd27d+d6Xt6ddeSZ0CsvHx8fuLq6yjzn6uqKa9euSZQZGRmhYsWKsLCwgL6+PqKiohAcHCxz4nz58uVx/fp1VKtWTWnxKurp06eoXbu2+PjJkyeoVauWxuKJj4+Hj4+P+Lhdu3YSSWhEqvDlyxeULVtWoWsiIiJQpkyZXM+LRCLExsYiPDwcnz9/Rnh4OMLDw/H27Vu1J8QoYuLEibC0tBQPkMi6yTqXlJSEnj17KtTX58+fFf65Z1PF74x9sS/2VfC+rl+/jjZt2ih0TUHjK4r4/oZ0jaLPeW37TEJERU/9+vWlFouRV6lSpbBq1SqJcT110/TroDrfaxJpK75nJ12ja8/5zMxMvHr1SqKsWrVqUguvUfGVvXp4NnNzc+jr62swIiLly/lal/2c//LlC0QiEcdmiIqA1NRUJCQkwNzcHMbGxpoORydp22uhrr1nL2rUNZ4mFArh5+eHxo0bK3SdPIyNjWFhYSG+WVpawtjYGCdPnlSonTt37qBcuXISiTjZ9w0MDHKdhK7t33+zL93oS939sa/i35eidO27Fr6/IV1TFOfOaPWIua2trfi+SCSCl5cX/vzzT6UM9B45cgQikUg8YaBChQq51s2ZnJPbbjCkWmlpaXjz5k2+9bp164Zdu3ap/A86EanGvXv3kJaWJpGI821iTnp6ulL66tu3L0qXLg1TU1OYmZmJb/kdJyUl5fk3Q5ZffvmlwB9QFKWpiXBEpHzdunXTdAhERESkww4cOICTJ0/i4sWL8PX1RXx8fJ71BQIB6tSpgxEjRmDUqFE69UUIERERERVv2ePu+S2QqO2Cg4NRpUoVAMCSJUsU3k2diEib+fv74+LFi7h16xb8/PwQGRmJtLQ08XkjIyOULl0aLi4uaNGiBTp16oR69eppMGIiUjWRSIRPnz7hyZMnePLkCZ4+fSr+NykpSeH2Zs2aBVtbW3ESTs6EnOz7RkZGUtcVZGL6d999x/FVIiIiomJCq5N1mjZtCj09PWRv/vPp0yesW7cOP/30U6HajY+Ph4eHBwQCgThhp0WLFjLrRkREIDY2Vry9or29faH6pvwtWLAATk5OuHHjBl68eIGsrKw865uZmaFr166YMmWKwqvPE+kabd82WN5dZCwtLVG+fHmUK1cO5cuXR6lSpeDp6alQX1u3bi3Q4EZqaqrC1xARFURiYqKmQyAiIiId5uTkBCcnJ/z0008QCoV49eoVXr9+jZCQEMTHxyMjIwPm5uawsLCAg4MDGjZsyJW6iIiIiLTAuXPncOLECdy8eROfPn1CXFwcrKysYGdnB1dXV/Tr1w+tWrXSdJikoKVLl2LZsmUyzxkZGcHKygrOzs5wc3PD6NGjUa5cOTVHSESkGcePH8e6detw584dcVn2HKOcUlNTERYWhg8fPuDEiRP4+eef0apVK8yaNQu9evVSZ8hEpAJRUVESCTnZt5iYGJn1DQwMkJGRoVAfc+fOZQINERERESlMq5N1ypQpg9atW+PatWvixJrFixejRo0a6N27d4HaTE1NRb9+/RAeHi6x+8CAAQNk1n/06JHEcbVq1QrUb0EFBwervI+lS5fKtXKSrAENVXBzc4ObmxsAIDk5Gc+ePUNwcDA+ffqExMRECIVCWFpaiged69Spo5Tdloh0QVRUlMq3rUxJScHjx49x48YNRcODvb097OzsJBJxsm/Zx+XKlZPapvzLly8KJ+sQEWm7uXPnYvXq1ZoOg4iIiNTk1atXSElJER/XrVtXg9FI0tPTQ40aNVCjRg1Nh0JEREREuXjw4AEmT54MX19fqXMRERGIiIjAo0eP8Pvvv6NTp07YvHkzHB0dNRApKVtaWhrCw8MRHh6OK1euYNWqVfD09MTAgQM1HRoRkcrExsbihx9+wPHjxwFIzmfJORfoWznr3bhxAzdv3kS/fv3g6ekJS0tLlcVLRKoxYMAAvHz5EuHh4TLP6+vro1q1aqhduzZq166NWrVqoXbt2rCwsICtra2aoyUiIiIiXaTVyToAMHPmTFy7dg3A1w/U6enpGDRoEGbPno1FixZJTdjOy7179zBx4kQEBgZK7Krj4uKCtm3byrzmzJkzACCu26xZs8I/KJJbyZIl0ahRIzRq1EjToRCRDDExMXj06BH8/f3x6NEjPHr0SK4dsXJz//59rkRCSmdjY4OIiAiFrylqfSUkJODmzZvi41atWsHc3Fwlfcl7DfsqXF9CoZDJOkRERDpk0KBBCAwMBPB1DCwzM1PDEVFhyHr/l/2efenSpXj37h3Wrl2LkSNHSlxDREREVBDHjx/HsGHDxMnftWvXxsiRI9GwYUNYWVkhKioKd+7cwT///IM3b97gwoULaNasGby9vdGyZUsNR6/91LWgobyWL18usbBlamoqXrx4AU9PT1y/fh1xcXEYOnQoypUrhzZt2mgwUiIi1QgNDUXr1q0RGhoqfo3+NkFH1mu3QCCQqCcSiSASiXDs2DE8ePAAN2/ehJ2dnWqDJyKlun79uvh+lSpVJBJyateujRo1asicW/jlyxd1hlksaft37exLc32pu7+cfckzb0ZZfSlyDfsqeF+RkZFwdnYuUF9ERNpC65N1evXqhV69euHEiRPiD84ZGRlYtWoVtm3bhiFDhqBbt25o2LCh1HbemZmZePr0Ke7evYv9+/eL/xBnJ94AX1cG/fvvv2X2LRQKcfz4cXFiDwAOaBKRThKJRAgLC5NKzHn//r3M+qVLl0atWrXEyZZUMLryYVnVfenp6aktCUyTfRkZGcHCwkJ8XLp0aZQqVUolfakS+/ofDhITERHpHm2bBEgFJ+v9X/Z79gYNGuDdu3fw9/fHrFmzNBQhERFR8SMUChEVFaXQNTY2NtDT01NRROrh6+uLwYMHIyMjAwKBAKtWrcKsWbOgr68vUc/NzQ0///wz5s+fj3Xr1iEqKgo9e/aEn58fHBwcNBM8FYidnR1q164tUdaoUSMMGzYMEyZMgKenJzIzMzFv3jzcunVLQ1ESEalGbGwsunbtipCQEACQSr4BgDJlysDZ2RlWVlYwNTVFUlISYmNj8ezZM/H3kzkTd0QiEd6/f48uXbrg5s2bEt+3EZF2++OPP9C8eXM4OzvDzMxM0+HIVFwX/NT279rZl+b6Und/OftS5byZb/tSNfZFRFR8aH2yDgDs3LkT7dq1w+PHj8UfmEUiEaKiorBlyxZs2bIFAGBoaAgLCwsYGhoiISEBCQkJEpMccq6oIRKJoKenh7/++gsNGzaU2a+3tzfCwsLEx87Ozvjuu+9U+EiJiLTPgAED8PTp01y/5HRwcECDBg3Et/r168POzg6RkZEoW7asmqNVveKaZKLu/vjhi4iIiIhIWs4FY6j4ql27No4dO4YbN25oOhQiIqJiJSoqSuEx6YiIiCI9Tpmeno4hQ4YgIyMDALB27Vr83//9X671DQ0NsXbtWmRlZeGPP/5ATEwMRowYwfclxYRAIMDatWvxzz//IC0tDXfu3EFUVBR3cCSiYmXatGl49uyZVJJOtWrVMG7cOAwaNAiVK1fO9frQ0FD8999/2L59O4KCgiTmID179gxTp07FP//8o46HQkRKMHToUK1/P19cF/wkIiIiIvkUiaWirK2tceXKFbi4uEgk3GR/YM6+paWlISIiAmFhYYiLi4NQKJQ4n/MaAwMD/PXXX/jhhx9y7dfAwAArV64U39atW6euh0xEpDWuX7+OqKgo6Ovro06dOhgxYgTWr18PHx8fxMTE4N27dzh27BgWLVqEHj16oGLFilLbjKtadgJNztubN2+wZ88e8e3NmzcS5wubQKPIraivzEhERERERETK4+TkBD09Pbx//z7XHWuJiIiI5LFv3z68e/cOwNdVsmfOnCnXdStXroSjoyMA4ObNm/Dx8ZGqs3TpUvF3q8HBwcjKyoKnpyc6dOiAChUqwNDQEK1bt5a67s6dOxgyZAjs7OxgZGQEOzs79OrVC2fOnAEA7N69W9zu1atXZcb38uVLrFmzBj179kTVqlVhamoKQ0NDlC9fHh07dsQff/yBxMTEPB+ju7u7xK4JmZmZ+Pvvv9GqVSvY2NjA2NgYjo6OmDJlisTijbJkt+Pu7p5nvczMTOzbtw8DBw6Eg4MDTE1NYWRkhEqVKqFbt25Yv349wsPD82yjsEqVKiXedUckEiE4ODjP+k+fPsX48eNRtWpVGBsbw9raGu3bt8f+/fvzXUjg0aNH+OWXX9CpUydUrlwZJiYmMDY2hp2dHXr06IGdO3ciPT0935ifP3+O6dOno379+rCwsICBgQFKly6N6tWro3PnzlizZg2CgoLybOPFixeYOXMm6tWrB2traxgZGcHW1hY9e/bEvn37kJWVlW8cRKT9/P398e+//0rsiFOiRAmsWrUKT58+xezZs/NM1AGASpUqYdasWXjy5AnWrFkDAwMDAP9bQGX//v0ICAhQ+WMhIkkPHz7EqFGj1NafrDkm+d2YAE1EREREBVEkdtYBvr5Jvnv3LlasWIFff/0V6enpEgOs8sgeUGzYsCF27dqFOnXq5Fm/R48e6NGjR6HiJiIq6tatW4c2bdqgdu3aMDY21nQ4MslaiYQrhBAREREREZE2MjExQbVq1RAUFAQfH598J30SERER5cbT01N8f/bs2XJ/b2psbIwpU6ZgxowZ4nbatWuXa/3Y2Fh8//33uHv3bp7tLlu2DMuWLZNI8vj48SM+fvyIkydPYurUqWjYsGGebfj7+6NBgwYyz33+/BmfP3/G5cuX8ccff+DEiROoW7dunu0BX3dd6tGjh1T8b968webNm3HgwAFcunQp137lERAQgIEDB+LVq1dS58LCwhAWFoazZ88iMDAQu3fvLnA/8ihR4n9TAPJKUtm5cycmTZqEtLQ0cVlaWhp8fHzg4+ODS5cuYefOnTKv9fLyQt++fWWey/6dnz59Ghs2bMCJEydynTy/detWTJkyBZmZmRLlUVFRiIqKwqtXr3DhwgUEBgZi3759UtcLhULMnz9fvGNUTp8+fcKpU6dw6tQpbNy4EcePH4etrW2uPw8i0n5r164VL9QrEolgbGyMI0eOoFu3bgq3pa+vj9mzZ6N27dro16+f+LVQJBJh7dq12Lt3r7LDJyIZ7ty5Aw8PD5w9e1at/apztxsiIiIi0m1FJlkH+PphefHixRgzZgy2bt2KHTt2yL36kEAgQOfOnfHjjz+iR48e3OWAiHRScnKywteMGDGiQIMU2SuRKHoNERERERERUXFXu3ZtBAUF4erVq0zWISIiogJJTEzEgwcPAHxNvlF0onK/fv3EyTq57XCTbfTo0fD390ffvn0xfPhwODg4ICoqSmLngW3btmHp0qUAAFNTU8ycORNubm4wMTHB06dP8fvvv2Pjxo1o3rx5nn1lZmbC0NAQnTp1QocOHeDs7IzSpUsjOTkZISEhOHz4MLy9vfH+/Xv06NEDAQEBsLKyyrPNvn374v79+xg9ejT69esHOzs7fP78Gdu3b8fRo0cRHR2N77//Hk+fPoW+vn6+P7tv+fv7o1WrVkhKSgIAuLq6YsSIEXBycoKRkRE+fvyIe/fu4dixYwq3raj09HQ8e/ZMfGxnZyez3sWLF3H37l1UrVoV06dPh4uLC0qUKIE7d+5g+fLl+PLlC3bt2oUOHTpg2LBhUtdnZmbCzMwMXbt2haurK2rWrAkrKyvExcUhODgY//zzD3x8fBAQEIA+ffrg3r174t0rsj158gSTJ09GVlYWrK2tMX78eLRt2xZlypRBVlYWPn78iIcPH+LMmTO5JqKNHz8eO3bsAADUrVsX48ePh6OjI8qUKYOwsDAcOXIE+/btg6+vL7p27Yo7d+6gZMmSBf3xEpEGiUQinD9/XpyoIxAI4OHhUaBEnZy6dOkCDw8PzJkzR9z2uXPnlBQ1EeXm2rVr8PDwwOXLlwF8nRPYr18/HD58WMOREREREREpV5FK1slWsWJFeHh44JdffsHz589x9+5dPH78GFFRUYiJiUFaWhosLCxgZWWFSpUqoUmTJmjatCksLS01HToRkUY8fvwY27Ztw549e9TWJ1ciISIiIiIiIpKtdu3aOHr0KHx8fMSTjIiIiIo7kUhUoAWl5JWdKKHoNaqcuF+yZEmV/Z0PDAwU70ZSr149qUSI/FSqVAlly5ZFREQEPn36hPDwcJQvX15mXX9/f6xfvx4zZ84Ul2VlZaFx48YAgOjoaPz0008AAHNzc9y4cQP16tUT123cuDGGDh2K7t2749KlS3nG5ejoiNDQUJQtW1bm+aFDh+L8+fPo1q0bQkNDsXnzZixcuDDPNm/fvg0vLy/06NFDorxLly4YNmwY9u/fj6CgIJw9e1aqTn4yMjIwcOBA8fNvw4YNmDp1qkSdhg0bokePHvDw8EBISIhC7Stq3bp1SEhIAADUrFkz12Sd27dvo127djh16pTE/4HGjRujffv2cHFxQXp6On7//XeZyTqtWrXChw8fUKpUKZntu7u7w9PTE+PHj8ejR49w6NAhDB8+XKLOf//9J94N5/Lly6hfv75UO3369IGHhweioqKkzh08eFCcqPPbb79h1qxZEv/fGjZsiF69eqFXr14YNGgQAgMD8fvvv2PBggUyYyYi7ebn54eoqCjx/3NbW1v83//9n1LanjlzJv788098+PABwNe/aw8ePECjRo2U0j4RfSUSiXDx4kUsX74cN27cAPB1R8BRo0Zh3rx5KFWqFJN1iIiIiKjYKZLJOtkEAgGcnZ3h7Oys6VCIiLROUlIS/vvvP2zbtg13797VdDhERERERERE9P85OTmhRIkSCAkJQXBwMKpUqaLpkIiIiFQuOTkZZmZmmg5Dgqr/BicmJsLU1FQlbUdGRorv55Zkk5/y5csjIiJC3F5u7bRs2VIiUedbBw4cQGJiIgBgwYIFEok62QwNDbFr1y5UrVoVGRkZubYlz+KLnTt3Rq9eveDl5YWjR4/mm6zz448/5pqEM2/ePOzfvx/A13lYKnYAAQAASURBVB2GFE3WOXDgAF6/fg3g6w5E3ybqfKty5coKtS+P1NRUBAUFYevWrfj777/F5YsWLcr1GiMjI+zbt09mslrt2rXRs2dPHD16FH5+foiPj5dKypHnOTdu3Dhs2bIF/v7+OHr0qFSyTnh4OICvv3NZiTo52djYSJV5eHgA+Jp0NXv27FyvHTBgAPr27Ytjx47B09OTyTpERdS7d+/E9wUCAfr376+0hFg9PT3069cPGzZskOiPyTpEyiESiXD69GksX74c9+7dA/D1veHYsWMxd+5c2NvbAwC+fPmiyTCJiIiIiFSiSCfrEBEVB0KhUOaKYHmxsbGBnp6ezHMBAQHYtm0b9u3bh/j4eABfVyPp06cPBg0ahEGDBhU6ZiIiUj0bGxvxZInc/N///R/27duHatWqwcfHR+aX1kRERESkfYyNjeHi4oJ79+7Bx8eHyTpERESksOzdU4Cvu9kURM7r4uLicq03atSoPNvx8fER33d3d8+1XsWKFdGpUyecPn1a7hizsrLw+fNnJCQkSCT5lClTBgDw+PFjZGRk5LmzUF7x16pVC6ampkhKSsKbN2/kjiubl5eX+H727kKqNnr0aIwePTrX8wKBAIsWLcLQoUNzrdOxY0fY2trmer5p06Y4evQoRCIR3r17JzMBK6eMjAxEREQgISFBvOMTANjZ2cHf3x9+fn5S11SsWBEAEBsbi8OHD2PgwIF59pHTixcv8OzZMwDI83Fma9euHY4dO4b3798jLCxM3DcRFR3Z35dk707r5OSk1Pa/XSSYSQNEhZ/LIhQK4eXlheXLl+PRo0cAvo6JTZgwAXPmzJHaAVCe70Zl9UdERMWXPH8b1q5dizVr1uC7777DzZs3+beBiLQOk3WIiDQsKioKZcuWVeiaiIgI8RdRwNfV+Q4dOoRt27bB19dXXF61alWMHz8e7u7uKFeuHAcViYiKED09PYnXeln+/PNPnD9/Hq9evcKePXswf/58NUVHRERERIoSCoUSk2Czk3XOnTuHnj17yrwmr8U6iIiIipqSJUuKd19RhS9fviicAPvu3bt8x18KQ9auJcqSM9GmoD/XnNdZWFjkWi+/XU+ePn0KALC3t0e5cuXyrNukSZN8k3XS09Ph6emJ/fv3w8/PD6mpqbnWzcrKQmxsbJ6/x7wmdAsEAlhbWyMpKUm8AJoiHj58CODrTjM1a9ZU+HplKlOmDDp27Ihp06ahWbNmedbNb5J7zslNuf1cEhISsGnTJhw+fBhPnjzJc8eknDtBZRs+fDhWrVqFlJQUDBo0CC1btkTPnj3RsmVLNGjQIM9dqXJ+FzZy5EiMHDkyz8eT06dPn5isQ1QEfZtUquxJmFZWVgAg3q2nIH8TiIqbgs5lsba2xuHDh7FixQo8efIEAGBqaopJkyZh1qxZub5flOe7USIi0i3y/G1YsGABPD098ebNG1y8eBEjRoxQU3RERPJhsg4RURH26NEjbNu2Df/++694FT0DAwP07dsX48ePR7t27Tiph4ioGLO2tsb69esxYsQIeHh4YPDgwfjuu+80HRYRERERyRAdHS1zVffDhw/j8OHDMq/5drEOIiKiokwgEOQ5+b6wkpOTFb7G1NRUpTGpUunSpcX3P336VKA2cl6X16Rna2vrPNuJiYkBALkmc+aXzPPx40d06tRJnAAkj/x+9/n9jrO/R8nKypK7z2zZi6R9uzK8Ki1fvhy9e/cWHxsZGcHKykriOZEfeX8mgOyfy7Nnz9C5c2eEhYXJ1Z+s31HVqlVx8uRJuLu7IywsDLdu3cKtW7cAACVKlECjRo3Qv39//PDDD7C0tJS4VtFV9/OLhYi037d/iwrzOiBLdlJh9s49377uEJF8Dh48iE2bNuHly5cAgFKlSmHq1KmYMWOGQu9ViIiI5FWqVCnMmTMH8+fPx7Jly/D999+jRAlOjSci7cFXJCKiImjv3r04cOAAHjx4IC5zdHTE+PHjMWrUqFy/EOO2wURExc+wYcOwe/duXL58GZMnT8bZs2fFK78REREREREREVHxVKdOHejr6yMrKwsBAQHIyMiAgYGB3NeHhYWJvy8oX748KlSokGtdfX39Qscrr5EjR4oTdbp27YqxY8eiXr16KF++PExMTMSxLF68GB4eHgC+TqzWJXZ2dqhdu7bG+s/MzET//v3FiTpDhw7F0KFDUatWLZQtWxbGxsbiZJ+RI0di7969ubbVoUMHvH79GidOnMDZs2dx8+ZNvHr1CpmZmbh79y7u3r2LlStXYv/+/ejcubNEDNk2b96MNm3ayB2/ojtwEZF2yF7IIvv7j8DAQKW2/217iu4mQkRfTZs2DcDX3apmzpyJqVOnMvmNiIhUburUqVi/fj3evHmDf/75B2PGjNF0SEREYkzWISIqgmbNmgXg6y46/fv3x/jx49G2bdt8d9HhtsFERMWPQCDAli1bUKdOHZw/fx7//fcfBg8erOmwiIiIiIiIiIhIhczNzeHi4gJfX1+kpqbi7Nmz6NWrl9zXHzt2THzf1dW1ULFYWVkhPDxcrsXCPn/+nOu5V69e4fLlywCAQYMG4dChQ7nWjY6OVjxQFShTpgxCQkLw8eNHTYeiNleuXMGLFy8AAD/99BNWr16da115fk9GRkYYOHAgBg4cCODrbkVXrlzBP//8gzNnziA6Ohr9+/fH69evUb58eQCQ+K7LxMREo8lLRKQe1apVE98XiUQ4fvw4NmzYAENDw0K3nZGRgePHj0MgEIgTQB0dHQvdLlFRIhQKERUVJVGWveOUImxsbDBnzhxMmjQJ5ubmygqPiIgoT2ZmZpg7dy7mzJkDDw8PDB8+XCnvE4mIlCHvWd1ERKSVqlatirVr1+LDhw84cOAA2rVrl2+iDhERFV/Vq1fHggULAAAzZsxAbGysZgMiIiIiIiIiIiKV++GHH8T3161bJ/cOM2lpadi0aZPMdgqiVq1aAID379/nm7Bz//79XM/l3NVg2LBhebbj6+urQISq06hRIwDAp0+fEBQUpOFo1OPx48fi+3n9noRCIR48eKBw+2XKlMHgwYNx+vRpTJo0CQCQlJQEb29vcR0XFxfx/evXryvcBxEVPXXq1BEn7AFfkwiWL1+ulLZ//fVXib9f5cuXR926dZXSNlFRERUVhbJly0rcnJ2dFW7nwYMHmDt3LhN1iIhI7SZNmoTy5csjODgYu3bt0nQ4RERiGpnZPWbMGPFt6dKlmgghX0uXLhXHOHbsWE2HQ0Qk4c6dO5g1axZ3ySEiIrG5c+eiRo0aCA8PFyfuEBERERERERHpChsbG0RERCh0s7Gx0XTYhTJy5EjY29sD+JqwsGHDBrmuW7BgAV69egUAaNGiBTp06FCoONq1aye+v2fPnlzrffjwARcuXMj1fGZmpvh+UlJSrvXu3r2bZ9KPOvXt21d8f82aNRqMRH3k/T39999/ee6kJI/OnTuL73/58kV8v169evjuu+8AAIcOHUJoaGih+iGioqFbt24QiUTiHXBWrVqF/fv3F6rNQ4cOYcWKFeI2BQIBunXrpqSIiXSPqamppkMgIiIdVbJkScybNw8AsHz5cqSlpWk4IiKirzSSrLN7927s2bMHe/bswYkTJzQRQr68vb2xZ88e7N69G7t379Z0OEREEgQCgaZDICIiLWNgYICVK1cCALZs2YLz58/jy5cved6EQqGGoyYiIiIiIiIiUg49PT2UKVNGoVtR37HeyMgIBw4cgIGBAQBg5syZWL9+fa5jPunp6fj555+xbt06AICFhQX27t1b6Di+//57mJmZAfg6ISbnzivZMjIyMHbsWKSnp+faTo0aNcT3d+3aJXOnoJCQkHx33VGnIUOGoHr16gCAnTt3SuxYJEtxSCrJ+XvasWOHzDqBgYGYMmVKnu0cO3YMkZGRedY5e/as+H52cg7w9XuyZcuWAQBSUlLQu3dvfPz4Mc+2nj9/joMHD+ZZh4i029y5c1GiRAkAX18HMjMzMWrUKPz0009ISUlRqK2UlBT8/PPPGD58uEQSYokSJfDTTz8pNW4iIiIiUo/x48fDzs4OYWFh8PT01HQ4REQAgBKa7Fzerdg1RdvjIyIiIiLKFhUVhX79+omPu3Tpku81ERER3KWNiIiIiIiIiKgIa968Of7991+MHDkSqampmDVrFvbs2YMRI0agYcOGsLKyQlRUFO7evYs9e/bg9evXAABra2scP34cVatWLXQM1tbWWLNmDSZNmoT4+Hi0aNECM2fOhJubG0xMTPD06VP8/vvvCAgIQPPmzXHnzh0A0guT1atXDw0bNoSfnx8uXrwIV1dXTJ48GVWrVkViYiJ8fHywceNGxMXFoWXLlrh161ahYy+sEiVK4L///kPLli2RlJSEqVOn4tixYxgxYgScnJxgZGSET58+4f79+zh8+DAaNWpU5BeK7Ny5M2xtbfHx40fs2LEDUVFRGDVqFCpVqoTo6GicPXsWf//9NwQCAVxcXPDw4UOZ7WzYsAFDhw5Fx44d0aFDB9SqVQulS5dGWloa3r9/jwMHDogX/rS3t0evXr0krh82bBhu3LiBrVu34tGjR3B2dsaYMWPQvn172NraIjMzE58/f4a/vz9Onz6Ne/fuYdiwYRgyZIjKf0ZEpBrVqlXDDz/8IH6NEQgEyMrKwrp167B3716MGjUK/fv3R7169WBoaCh1fUZGBvz9/XHkyBHs3bsXnz9/ltipRyAQ4IcffkC1atU08OiIiIiIqLCMjY2xYMECTJo0Cb/++ivGjh0LExMTTYdFRDpOo8k62i77AzkRERERERERERVv//zzj0b7j46O1mj/RERERFR0DRw4EPb29pg8eTIePHiAwMBAzJkzJ9f6HTp0wJYtW8Q7wijD+PHjERERgWXLliExMREeHh7w8PCQqDN16lTUr19fnKxjbGwscV4gEODff/9Fu3btEB4ejuvXr+P69esSdYyMjLB161aEhYVpRbIO8DXJ6MaNGxgwYADevn0LHx8f+Pj4yKzbqFEjNUenfCYmJjh48CC6d++OhIQEeHl5wcvLS6JOqVKl8O+//+LIkSO5JusAQFpaGk6fPo3Tp0/nWsfR0RHe3t4wNTWVOvfXX3/B3t4ey5YtQ1xcHH7//Xf8/vvvubZlYWGR/wMkIq22bt06+Pn5wdfXV5ywIxKJ8PnzZ/z222/47bffYGBgAAcHB1haWsLU1BRJSUmIjY3Fu3fvxLvoZM8Fyk4cFQgEaNKkiXj3OSIiIiIqmsaMGYNVq1YhJCQEf//9N2bOnKnpkIhIxzFZh4hIw5gUSEREREREpHnu7u5SK3sTERERERUVTZo0ga+vL86dOwdvb2/cvHkT4eHhiI+Ph6WlJezs7NC2bVv069cPbdq0UUkMS5YsgZubG/7880/cuHEDkZGRKF26NBo1aoSJEyeiW7duWL9+vbi+rMSJmjVrIiAgAGvXrsXJkycRHBwMfX192Nraws3NDZMmTUKtWrWwdOlSlTyGgmrQoAFevHiBvXv3wsvLC35+foiMjAQAlCtXDnXr1kXnzp3x/fffazhS5WjdujUCAgKwZs0aXLhwAWFhYTA2NkalSpXQtWtXTJ06FZUrV8aRI0dybePgwYM4d+4crl+/jidPniA8PBxfvnyBSCRCmTJlUK9ePfTp0wcjRoyAkZGRzDYEAgHmzZsHd3d3eHp64vLlywgKCkJ0dDT09fVRunRp1KhRAy1atECPHj3QpEkTVf1IiEhNTExMcPr0abi6uuLp06fihB3gf9+7p6en4+XLlwByX6Q35xiQSCRC7f/H3n2HR1Htfxz/7CYQ0ghhk9A7SJPQ4UqRFmqoKmBBQUCvUtQrKooKWFDBq14VARFRxIIUBaWDgBSlidQASie0FAgkISEku78/+GXNkgQI2exskvfreeZxZ3bnnM/gKNnJ+Z5z551avHhxpkJSoCCyWq2KjY11OJb+cwsAAPmdl5eXXn31VT322GN655139Pjjj2c5+QMAuArFOgBgoNTUVI0ePdroGAAAAACA/2fkhAoUCwEAACA3TCaTunbtqq5du+a6rfHjx99WQUyLFi3UokWLbN/fs2ePJKlIkSKqUqVKlp8JCQnRpEmTNGnSpNvO9+WXX+rLL7+8pczHjh274fu3+h2hSJEiGjx4sAYPHnxLn8+J2/33kVHlypVv+VoGDRqkQYMG3fAzVapU0dSpU2/4mRv9eyhduvQt9XMrypQpo7Fjx2rs2LG5bguA+7NYLNq2bZueeeYZTZ8+XZIcinbS2Wy2TCvoXP++JD355JN67733KNRBoREbG6uQkBCjYwAAkCesVqu6deumSpUq6fjx45o4caJGjhx5w3MsFovMZrOLEgIobAwv1jl06JDat29vdIxMDh06ZHQEAAXcxYsX1b9/f61YscLoKAAAAACA/0fBDAAAAJA34uPjtXDhQklSkyZNsl0tBQCAmylWrJimTZumhx9+WB988IEWLVqktLQ0+/vZFe+k8/DwUJ8+ffSf//xHd911l8tyAwAAIG/FxsaqXLly9v033nhDb7zxxg3PiYqKUnBwcF5HA1BIGV6sk5iYqF9//dXoGADgUseOHVP37t21b98+eXt7a+rUqerWrdstn2+xWPIwHQAAAAAUTkauqgMAAADkZ1arVceOHVO1atWyfD8lJUWDBg1SXFycJGnIkCEuTAcAKKhatmypli1b6vTp01qzZo02bdqkHTt2KCYmRhcuXFB8fLz8/f0VGBio4OBgNWrUSC1atFCHDh1UpkwZo+MD+VpERISCgoIcjjGWBQAAAHBkaLEOM5UCKIy2bNminj17KioqSmXKlNHPP/+sxo0bGx0LAAAAAAq1cePGGR0BBVzJkiU1a9Ys+36rVq3k7+/vsP/XX39pypQpuu+++yQxwAEAAOQfKSkpqlmzpjp37qzw8HDdeeedKl68uC5duqTt27dr+vTpOnjwoCSpefPmGjhwoMGJAQAFSdmyZTVgwAANGDDA6ChAoREUFMQqBAAAAMBNGFqsw2ylAAqb+fPn6+GHH1ZycrJCQ0O1ePFiVahQwehYAAAAAFDoUayDvGY2mxUQEGDfDwoKUvHixe37ffv21YQJE/TLL7/oySefNCIiAABArqSlpWnp0qVaunRptp+56667tHDhQnl6GvpragAAAAAAAADIc4Y8Bb377rtZVQdAoWKz2TRx4kS99NJLkqTw8HB99913DjPoAgAAAACAwqtPnz6aMGGCli1bpqSkJHl7exsdCQAA4JZ5eXnpp59+0sqVK/Xbb7/p3Llzio2NlclkUnBwsJo2bar+/fvr3nvvldlsNjouAAAAAAAAAOQ5Q4p11q1bZ0S3AGCIlJQUPfnkk5o5c6Yk6amnntL7778vDw8Pg5MBAAAAAAB30ahRI1WsWFEnTpzQqlWr1LNnT6MjAQAA3DKTyaQePXqoR48eRkcBAACAk0VERCgoKMjhmMViMSgNAAAAkH+wvjgA5KELFy7o3nvv1dq1a2U2m/Xhhx9qxIgRRscCAAAAAABuwmq1KjY2VpLUqVMnzZgxQ999953uuuuubM+xWCzMSA8AAAAAAIBsZXzmlFFMTEyO2woKClJwcLAzYgEAAACFCsU6AJBHDh06pO7du+vgwYPy8/PT999/r27duhkdCwAAAACQhY8++ki9e/dWxYoVjY6CQiY2NlYhISEOx+bMmaM5c+Zke05UVBQDJAAAAAAAAJCtrJ45AQAAAHAtpl8EgDywceNG/etf/9LBgwdVoUIFbdq0iUIdAECeslgsioqKynabP3++JMnb21sHDx5UVFQUy9MDAJDBM888oypVqqhhw4YaP368/vzzT6MjAQAAAAAAFGi3s8KHkfJbXgAAAACAsSjWAQAn++abb9ShQwfFxsaqSZMm2rJli0JDQ42OBQAo4Mxms4KDg7Pd7rnnHtWvX19JSUmaP3++goODZTbzdQAAgIxsNpt27dqlN954Q02aNFHlypX11FNP6ZdfflFaWprR8QAAAAAAAAqU6tWr6+2331ZycrLRUW5o69atatOmjaZMmWJ0FAAAAABAPsLoPABwEpvNpvHjx2vAgAFKSUnRPffco19//VVlypQxOhoAADKZTBo1apQk6eOPP9aVK1cMTgQAgPsxmUwymUyy2Wyy2Ww6ceKEPvnkE3Xq1EnBwcF66KGHNG/ePCUkJBgdFQAAwFAmkynTMZvNZkASAMg7VqvV6AhAgXfp0iW98sorql69uj766CMlJSUZHcnB9u3bdc899+iuu+7Sxo0bjY4DAAAAAMhnKNYBACdITk7WgAED9Nprr0mSXnjhBc2bN08+Pj4GJwMA4B/9+/dX2bJldfbsWX333XdGxwEAwK1069ZNXl5e9kGm6YU70rWBp3FxcZozZ47uv/9+BQcHq2vXrpo2bZrOnDljZGwAAABDZLVar7sNrgWA3MpqpQ8KE4G8cfr0af3nP/9RpUqVNGHCBJ07d86wLDabTUuXLlXHjh3VvHlzLVq0iP/2UWhEREQoKioq02axWIyOBgAAAORLFOsAQBasVquio6Nvadu/f7/atGmjb7/9Vp6enpo+fbomTpyY5S8rAQAwUtGiRfXUU09Jkt5//31+uQQAQAaLFy9WTEyMFixYoIcffliBgYH2FXauL9y5cuWKVq5cqeHDh6tChQpq3ry53nrrLe3bt8/gqwAAAHANk8mUabKq8+fP86wBQIFhs9l0/vx5h2MpKSkGpQEKrqpVq9qfvdhsNsXExGjs2LGqWLGi+vXrp+XLlystLc0lWY4cOaI33nhDVapUUY8ePbRmzRqHn21MJpOqVKnikiyAUYKCghQcHJxpY/wLACC/sFgsWRaeRkVFafr06ZKkypUr69y5cxSlAnAJT6MDAIA7io2NVUhISI7O8ff3148//qgOHTrkUSoAAHLv8ccf1xtvvKE9e/Zo1apV6tSpk9GRAABwGz4+PurTp4/69Okjq9WqDRs2aOHChVq0aJGOHTsmSfaiHUn2Yp5t27Zp+/btevXVV1W1alX16tVLvXr1UqtWrRw+DwAAUJAUL15cly9ftu8nJSXp+PHjKlmypIoVK8aAvgIuLS3NYfB0amoqxVooEKxWq5KTk3X+/PlMK4ZltdIOgNzZt2+f3nnnHU2cOFHJycn2op2rV69qwYIFWrBggUqUKKGePXuqe/fuatu2rdMGU6alpWnbtm1avXq1FixYoN27d0tSplWXbTabmjZtqilTpqhx48ZO6RsAAAB5w2w2Kzg4OMv3HnjgAT311FM6duyYIiMj1ahRIxenA1AYUawDAE6ybNkytWzZ0ugYAADcUGBgoIYMGaKPPvpI7733HsU6AABkw2w2q02bNmrTpo0++OAD7dmzx164s2PHDvvnMq64I0mHDx/WBx98oA8++EAWi0Xh4eHq3bu3OnXqJG9vb0OuBQAAIC/4+/vr3LlzDgUaSUlJOnXqlIGp4Co2m01Wq9W+bzabKVRHgWYymXTlyhWjYwAFjpeXl8aNG6eBAwdqzJgx+v777yU5Pm+5cOGCvvrqK3311VeSpDp16qhJkyYKDQ3VnXfeqUqVKqlcuXLy9fXNsg+r1aozZ84oMjJSBw8e1J49e7Rr1y5t3rxZiYmJ9n7SZey7YsWKGj9+vAYOHMjfc3BrVqtVsbGxDsdiYmIMSgMAgHvy8/NTeHi4FixYoHnz5lGsA8AlKNYBACe54447jI4AAMAteeaZZzR58mStXLlSe/bsUb169YyOBACA26tXr57q1aunV199VZGRkVq0aJEWLVqkX3/9VVevXpWUuXAnJibGPpikWLFiCgsLU69evdSjR49sZ/UCAADILzw9PVW+fHlFRkayogqAAs1kMikoKEiHDh0yOgpQYFWuXFnffvutXnrpJb3yyitavHixbDZbpmct0rXVeCIiIjK14ePjI19fX3l7e8vDw0PJyclKSkrSpUuXHApM02VVoJN+vHTp0nrxxRf1xBNPqGjRos68VCBPxMbGKiQkxOgYAAC4vb59+2rBggWaO3eu3nrrLQqyAeQ51p8HAAAACpkqVaro3nvvlSS9//77BqcBACD/KV++vIYPH66VK1cqOjpa33zzjfr16yd/f3/7QA+TyeQwoCQpKUmLFy/WY489prJly6p169b673//q7///tvISwEAAMgVPz8/lS9fnoENhZDValV8fLx9y2oQNFAQmEwmlS9fnpVSARepV6+eFi1apL1792rIkCHy8vLK9KzFZDLJZrNl2hITExUVFaXjx4/ryJEjOn36tC5cuKC0tLQsP59Ve3Xr1tXMmTN1/PhxPfXUUxTqAAAAFDDh4eHy9vbWkSNH9OeffxodB0AhQLEOAAAAUAiNGjVKkvTNN9/ozJkzBqcBACD/Kl68uB544AHNmTNH0dHRWrZsmZ544gmVKVMm0+AP6VrhTlpamn777TeNHj1atWrVUp06dTRmzBht2bLF4KsBAADIOT8/P1WvXl2lS5eWj4+P0XEAwCl8fHxUunRpVa9eXX5+fkbHAQqd2rVr67PPPlNkZKQ+/PBDNWnSJNtCm9vd0tsKCAjQY489pg0bNmj37t0aNGiQihQpYvQfAQAAAPKAn5+funXrJkmaO3euwWkAFAaeRgcAAAAA4HrNmzdXy5YttWnTJk2ePFkTJkwwOhIAAPlekSJF1LlzZ3Xu3FlTpkzR9u3btXDhQi1atEj79u2zfy5j4Y4kHThwQBMnTtTEiRNVqlQp9ejRQ7169VJYWBgzuAIAgHzB09NTgYGBCgwMlM1mk9Vqtf+sg4IpPj5eGzZssO/XqlVL/v7+BiYCnMNkMslsNrNiGOAmSpYsqZEjR2rkyJE6cuSIlixZomXLlmnDhg1KTEzM8pyM//1m9fOIyWRSrVq11KlTJ3Xr1k1t2rTh+QsAAEAh0q9fPy1YsEDz5s3T22+/zfc/AHmKYh0AhZrValVsbGym4zExMQakAQDAtUaNGqVNmzZp6tSpGjNmjHx9fY2OBABAgdKkSRM1adJEb775po4cOWIv3Pntt9+UlpYmKXPhztmzZzVjxgzNmDFDvr6+6ty5s3r16qXw8HAFBgYadi3IOxaLRVFRUVm+d/nyZdWrV0/x8fGaN2+e2rRpYz8HAAB3ZTKZ5OHhYXQM5DEPDw+HAdAeHh7y9ORXzwCAvFO1alV74Y7NZtP+/fu1fft2/fXXXzp27JgiIyN16dIlXb58WWlpafL29pavr69CQkJUqVIlVa1aVaGhoWrSpImKFy9u9OUAhouIiFBQUJDDMZ45AQAKg/DwcHl7e+vIkSP6888/1ahRI6MjASjAeGIKoFCLjY1VSEiI0TEAADBEz549Va1aNR0+fFhffvmlhg8fbnQkAAAKrKpVq+rZZ5/Vs88+q9jYWP38889atGiRVq1apcuXL0vKPPNrQkKCfvjhB/3www/y9PTUlStXjIqPPGQ2mxUcHOxwLH1yER8fH91333364osvNHv2bHuxTlYTj1gsFpnNZpdkBgAAAADASCaTSXXq1FGdOnWMjgLkW0FBQZmeSQEAUBj4+voqPDxc8+fP19y5cynWAZCn+O0tAAAAUEh5eHjoP//5jyTpgw8+sM/wDwAA8pbFYtGgQYP0448/KiYmRgsXLtSjjz6qoKAg2Ww22Ww2mUwmh1V3UlNTDU4NV0qfXCQkJERffPGFJOmnn36yH8tqy6qABwAAAAAAAAAAAI769u0rSZo3b57DysEA4GwU6wAAAACFkNVqVXR0tMLDwxUQEKDDhw9r9uzZio6OznazWq1GxwYAoMApVqyYevbsqc8//1xnz57V+vXrNWrUKFWrVs1euAMAAAAAAAAAAADAOcLDw+Xt7a0jR45ox44dRscBUIBRrAMAAAAUQumztVepUkUXL16UJD366KPM1g4AgIFMJpNatWqld999V3/99Zf27t2rCRMmqGnTpvZVdgAAAAAAAIB0DzzwgH2F5vStcuXKRscCAABwa76+vgoPD5d0bXUdAMgrFOsAAAAAAAAAbqhOnTp66aWXtGXLFkVGRhodBwAAAAAAAG7k559/1pw5c4yOAQAAkC/169dPkjR37lzZbDaD0wAoqDyNDgAA+U1ERISCgoIyHbdYLAakAQAAAAAUBqVLlzY6AgAAAAAAANzExYsX9eSTTxodAy5mtVoVGxub6XhMTIwBaQAAyN+6desmb29vHT16VDt27FDjxo2NjgSgAKJYBwByKCgoSMHBwUbHAAAAAAAAAAAAAAAAhdDzzz+vU6dOSZJ8fX2VmJhocCK4QmxsrEJCQoyOAQBAgeDr66vw8HDNnz9fc+fOpVgHQJ4wGx0AAFzFarUqOjraYWN2EQAAAAAAAAAAAAAAkF+sW7dOM2bMkCSZzWaNGzfO4ERwZxEREYqKisq0WSwWo6MBAGC4fv36SZLmzZsnm81mcBoABREr6wAoNJhhBAA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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 27: Organic phase species history dashboard at shut-down.\n" ] } ], "source": [ "'''Plot organic phase'''\n", "# TODO: time axis normalized by phase flow residence time.\n", "stg.organic_phase.plot(title='Organic Phase Shut-Down', legend='Organic Phase', nrows=2,ncols=3, show=True, figsize=[12,6])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Organic phase species history dashboard at shut-down.')" ] }, { "cell_type": "code", "execution_count": 119, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Overview of the Organic Phase Data at Shut-Down.

\n", "\n", "

Scope

\n", "\n", "Data rows with time ≥ 309.624 s only (shut-down of TBP inflow at 309.624 s). All concentrations are in g/L; species notation used below follows the table but with corrected chemical formatting (H₂O·[C₄H₉O]₃PO(o), [C₄H₉O]₃PO(o), [H₂O]₂·[[C₄H₉O]₃PO]₂(o), [H₂O]₆·[[C₄H₉O]₃PO]₃(o)).\n", "\n", "

Key observations

\n", "\n", "- Immediately after shut-down (309.624 s → 317.365 s) TBP ([C₄H₉O]₃PO) shows a large drop from 228.085 to 188.653 g/L (≈ −39.43 g/L, −17.3%) within 7.741 s; the hydrate complexes show much smaller absolute changes in that same interval.\n", "- Over the full post-shutdown interval analyzed (309.624 → 464.436 s, Δt = 154.812 s) all four measured organic-phase concentrations fall substantially.\n", "- TBP remains the dominant component by mass at every sampled time after shut-down, even as absolute TBP concentration declines strongly.\n", "- The hydrated complexes decline as well; the dihydrate complex has the largest absolute concentration decline after TBP, while the trimer hydrate declines to nearly zero by 464.436 s.\n", "\n", "

Quantitative changes (309.624 s → 464.436 s)

\n", "\n", "- H₂O·[C₄H₉O]₃PO(o): 12.1757 → 1.60434 g/L; absolute change −10.57136 g/L; fractional decrease ≈ 86.9%; mean rate ≈ −0.0683 g·L⁻¹·s⁻¹.\n", "- [C₄H₉O]₃PO(o) (TBP): 228.085 → 11.4963 g/L; absolute change −216.5887 g/L; fractional decrease ≈ 95.0%; mean rate ≈ −1.399 g·L⁻¹·s⁻¹.\n", "- [H₂O]₂·[[C₄H₉O]₃PO]₂(o): 45.8827 → 1.53375 g/L; absolute change −44.34895 g/L; fractional decrease ≈ 96.7%; mean rate ≈ −0.287 g·L⁻¹·s⁻¹.\n", "- [H₂O]₆·[[C₄H₉O]₃PO]₃(o): 10.5415 → 0.102006 g/L; absolute change −10.43949 g/L; fractional decrease ≈ 99.0%; mean rate ≈ −0.0674 g·L⁻¹·s⁻¹.\n", "- Total organic-phase concentration (sum of the four species): 296.685 → 14.7364 g/L; absolute change −281.949 g/L; fractional decrease ≈ 95.0%.\n", "\n", "

Temporal pattern and notable transient

\n", "\n", "- Two-phase behavior is evident: an initial abrupt drop in TBP immediately after 309.624 s (largest short-term change), followed by a smoother, roughly monotonic decline of all species over the remaining time points.\n", "- The hydrate complexes decline more slowly in the initial few seconds compared with TBP, but over the full interval they fall almost as far (dihydrate shows the largest absolute loss among hydrates).\n", "- By the end of the analyzed interval (464.436 s) monohydrate and dihydrate concentrations remain nonzero but small; the trimer hydrate is effectively depleted (<0.11 g/L).\n", "\n", "

Composition and relative shares

\n", "\n", "- At 309.624 s the composition by mass fraction was approx.: TBP 76.9%, dihydrate 15.5%, monohydrate 4.1%, trimer hydrate 3.6%.\n", "- At 464.436 s the mass fractions are approx.: TBP 78.0%, monohydrate 10.9%, dihydrate 10.4%, trimer hydrate 0.7% — TBP retains the largest share despite large absolute loss.\n", "- The data show the bulk of organic mass is removed/depleted after shut-down, with TBP and the dihydrate accounting for most of the absolute mass loss.\n", "\n", "

Concise conclusion

\n", "\n", "- After inflow of TBP is set to zero at 309.624 s, the organic-phase concentrations decline rapidly: TBP and the dihydrate exhibit the largest absolute decreases and dominate the total mass loss, while the monohydrate and trimer hydrate also fall to low values (trimer near zero) over ~155 s." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 8294\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Overview of the Organic Phase Data at Shut-Down.\\n'\n", " f'+ Cover only the period after {round(stg.initial_time,2)} seconds when the concentration of TBP in the inflow is set to zero.'\n", " )\n", " cortix_ai.explain(phase=stg.organic_phase, issues=issues, markdown_header_level='

', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 120, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 23: Molarity history of TBP in the organic phase at shut-down.\n", "Time [min] | Free TBP [M] | TBP Monomer [M] | TBP Dimer [M] | TBP Trimer Hexahydrate [M] | balance |\n", " 1.15e+00 0.860 4.097e-02 7.950e-02 1.182e-02 +1.096e+00\n", " 2.58e+00 0.856 4.277e-02 8.068e-02 1.164e-02 +1.096e+00\n", " 4.01e+00 0.856 4.282e-02 8.069e-02 1.162e-02 +1.096e+00\n", " 5.29e+00 0.708 4.215e-02 7.942e-02 1.118e-02 +9.429e-01\n", " 5.93e+00 0.308 2.947e-02 4.699e-02 4.766e-03 +4.454e-01\n", " 6.58e+00 0.151 1.720e-02 1.919e-02 1.379e-03 +2.104e-01\n", " 7.22e+00 0.076 9.413e-03 6.705e-03 3.516e-04 +9.938e-02\n" ] } ], "source": [ "'''Compute molar concentration of TBP species'''\n", "import numpy as np\n", "\n", "tbp_mass_cc_org_history = stg.organic_phase.get_column(tbp_org_name)\n", "tbp_molar_cc_org_history = np.array(tbp_mass_cc_org_history)/tbp_org.molar_mass\n", "\n", "tbp_monomer_mass_cc_org_history = stg.organic_phase.get_column(tbp_monomer_org_name)\n", "tbp_monomer_molar_cc_org_history = np.array(tbp_monomer_mass_cc_org_history)/tbp_monomer_org.molar_mass\n", "\n", "tbp_dimer_mass_cc_org_history = stg.organic_phase.get_column(tbp_dimer_org_name)\n", "tbp_dimer_molar_cc_org_history = np.array(tbp_dimer_mass_cc_org_history)/tbp_dimer_org.molar_mass\n", "\n", "tbp_trimer_hexahydrate_mass_cc_org_history = stg.organic_phase.get_column(tbp_trimer_hexahydrate_org_name)\n", "tbp_trimer_hexahydrate_molar_cc_org_history = np.array(tbp_trimer_hexahydrate_mass_cc_org_history)/tbp_trimer_hexahydrate_org.molar_mass\n", "\n", "time_stamps = np.array(stg.organic_phase.time_stamps)\n", "\n", "tbl_count += 1\n", "print(f'Table {tbl_count}: Molarity history of TBP in the organic phase at shut-down.')\n", "print('Time [min] | Free TBP [M] | TBP Monomer [M] | TBP Dimer [M] | TBP Trimer Hexahydrate [M] | balance |')\n", "np.set_printoptions(precision=3, suppress=True, linewidth=100)\n", "for t,a,b,c,d in zip(time_stamps[n_startup::5]/unit.min, \n", " tbp_molar_cc_org_history[n_startup::5]/unit.molar, \n", " tbp_monomer_molar_cc_org_history[n_startup::5]/unit.molar,\n", " tbp_dimer_molar_cc_org_history[n_startup::5]/unit.molar,\n", " tbp_trimer_hexahydrate_molar_cc_org_history[n_startup::5]/unit.molar):\n", " balance = a+b+2*c+3*d - tbp_mass_cc_org/tbp_org.molar_mass/unit.molar\n", " print(' %1.2e %1.3f %1.3e %1.3e %1.3e %+1.3e'%(t, a, b, c, d, balance))" ] }, { "cell_type": "code", "execution_count": 121, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 24: Volume fractions of free and total TBP in the organic phase at shut-down.\n", "Time [min] | Free TBP vol frac [%] | Total TBP vol frac [%] |\n", " 0.00e+00 30.000 30.000\n", " 2.87e-01 25.701 30.000\n", " 5.73e-01 24.244 30.000\n", " 8.60e-01 23.734 30.000\n", " 2.29e+00 23.455 30.000\n", " 3.73e+00 23.453 30.000\n", " 5.16e+00 23.453 30.000\n", " 5.81e+00 9.815 14.171\n", " 6.45e+00 4.742 6.694\n", " 7.10e+00 2.375 3.162\n", " 7.74e+00 1.182 1.494\n" ] } ], "source": [ "'''Volume fraction of TBP at shut-down'''\n", "tbl_count += 1\n", "print(f'Table {tbl_count}: Volume fractions of free and total TBP in the organic phase at shut-down.')\n", "print('Time [min] | Free TBP vol frac [%] | Total TBP vol frac [%] |')\n", "np.set_printoptions(precision=3, suppress=True, linewidth=100)\n", "total_tbp_molar_cc_org_history = tbp_molar_cc_org_history + tbp_monomer_molar_cc_org_history + \\\n", " 2*tbp_dimer_molar_cc_org_history + 3*tbp_trimer_hexahydrate_molar_cc_org_history\n", "total_tbp_mass_cc_org_history = total_tbp_molar_cc_org_history * tbp_org.molar_mass\n", "for t,a,b in zip(time_stamps[::5]/unit.min, \n", " np.array(tbp_mass_cc_org_history[::5])/rho_tbp*100, total_tbp_mass_cc_org_history[::5]/rho_tbp*100):\n", " print(' %1.2e %1.3f %1.3f'%(t, a, b))" ] }, { "cell_type": "code", "execution_count": 122, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 25: Mass concentration and molarity history of water in the organic phase at shut-down.\n", "Time [s] | [M] | [g/L] |\n", "6.88e+01 2.709e-01 4.880e+00\n", "1.55e+02 2.739e-01 4.935e+00\n", "2.41e+02 2.739e-01 4.935e+00\n", "3.17e+02 2.681e-01 4.829e+00\n", "3.56e+02 1.520e-01 2.739e+00\n", "3.95e+02 6.385e-02 1.150e+00\n", "4.33e+02 2.493e-02 4.492e-01\n" ] } ], "source": [ "'''Total water extracted'''\n", "water_molar_cc_org_history = tbp_monomer_molar_cc_org_history \\\n", " + 2*tbp_dimer_molar_cc_org_history \\\n", " + 6*tbp_trimer_hexahydrate_molar_cc_org_history\n", "\n", "water_mass_cc_org_history = water_molar_cc_org_history * h2o_aqu.molar_mass\n", "\n", "tbl_count += 1\n", "print(f'Table {tbl_count}: Mass concentration and molarity history of water in the organic phase at shut-down.')\n", "print('Time [s] | [M] | [g/L] |')\n", "np.set_printoptions(precision=3, suppress=True, linewidth=100)\n", "for a,b,c in zip(time_stamps[n_startup::5], water_molar_cc_org_history[n_startup::5]/unit.molar, water_mass_cc_org_history[n_startup::5]):\n", " print('%1.2e %1.3e %1.3e'%(a, b, c))" ] }, { "cell_type": "code", "execution_count": 123, "metadata": {}, "outputs": [ { "data": { "image/png": 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SK6+8YlXetGlTrVy5Ug0bNnSovYCAAH333Xc2pyVdsmSJZsyY4XSswLXIZDJp3LhxGjp0qNW6ZcuW2bx5Cjhj0KBBMpvNmcubN2/Wvn37HG4nMjJSixcvtiiztf/i+lW2bFm9/PLL2rVrl7p162a1/ty5c+rXr5+Sk5OLIDqg4CUlJal///567bXXrKZ4vOmmmzR79mxduHBBP/zwg5544gm1atUqx6lkg4KC1LFjR73xxhvasGGDDh06pKefftoqAWnevHnq1q2bwsPDC+xx5ceyZcs0a9aszOVGjRrpjTfecFn7//vf/xQdHW1R1qtXLz311FN51g0JCdGbb75pUZaSkqJJkya5LL7cpKWl2ezrk08+yXOkVUmaNGmSGjdubFH2zz//2JzmuKCMHj1aBw4csCqfOHGiZsyYoYCAAKfaDQgI0Hvvvaf169erdu3a+Q0zR0lJSVqwYIFFmclk0g8//KBq1ao51aa7u7v69etndc2E61PLli313XffacmSJSpbtqzV+rlz5+qDDz4ogsgAAAAA20j6AwAAAEqAESNGKCUlxaKsfPnyWr58ucqVK+dUm25ubvr666/Vs2dPq3VjxozRpUuXnGoXuJZNnDjR5g3/P//8swiiwbWocuXKuvXWWy3KsiZg2GvOnDlKSkrKXG7SpIlCQkLyHR+uPZUrV9aKFSs0YMAAq3Vbt27Vhx9+WARRAQUrISFBt956q3755ReL8mrVqmnWrFnavn27Bg0aJD8/P6far1evnj766CMdPXpU/fr1s1i3detWderUSREREU7HXxCuXLmi4cOHZy5nvFfIKdHRUWlpaTZHLXckae+FF16wSsSZO3duoUwt+8cffyg0NNSirGnTpjZHT7fFy8tL48ePtyqfPn26S+LLy8qVK/XNN99YlY8ZM0avvvqqS/oICQnR5s2bC2zUvLVr11qN8te+fXu1aNGiQPrD9euOO+7Q1q1bbY6G/Nprr+nEiRNFEBUAAABgzb2oAwAAAACQuyVLlmjTpk1W5R9//LHdUy/lxM3NTZ9//rmaNGmi+Pj4zPKYmBhNmTJF7733Xr7az5CWlqadO3dq//79unDhghITE+Xr66umTZuqR48eedZPT0/Xli1bdOzYMZ07d04pKSkKCgpSgwYN1KZNG7umcXJWcnKyjh49qoMHD+r8+fOZo5MEBQUpKChIN954o+rXr19g/We3d+9e7dixQ+fPn1daWprKlSun6tWrq2PHjvL19S20OOwRHx+vLVu26Ny5cwoPD1dUVJRKlSqlMmXKqG7dumrUqJHNERSKs0qVKqlDhw5atWqVRfn27ds1bNiwfLV95MgRbdu2TWfOnFFSUpLKli2rKlWqqGPHjgoMDMxX29mdOXNGBw8eVFhYmKKiopSQkCB/f38FBQWpRo0aCgkJkbe3t0v7NAxDx48f1+7duzNfS6mpqSpVqpT8/PxUrVo1BQcHq169enJ3d93HFRcuXND27dt16dIlXbx4Uenp6SpfvrwqVqyotm3bKigoyGV9ucrQoUO1dOnSzOXvv/9ekydPduh5yT4tcEGM8peQkKDDhw/r4MGDCg8PV3R0tNzd3RUYGKhy5cqpWbNmdo1+5KiYmBjt2bNHhw8f1pUrVxQbGysPDw/5+PioXLlyqlmzpurWrWvzRq0jEhIStG/fPh04cECXL19WTEyMzGazfHx8FBgYqJo1a6p27dqqWrWqix5Z0XFzc9PMmTO1b98+7d2712LdxIkTNXLkSKdHgMpQHF6Lp06d0pYtW3TixAnFx8crKChIFStWVIcOHVSxYkWX9VNY+yick5aWpgEDBmj16tUW5f3799cXX3yR7309q2rVqmnevHmaO3euHn300czr7YMHD+qee+7RihUrCvQ61hGjR4/W2bNnM5efeeYZtWnTxmXtr169WufPn7coCwkJcShhy8vLS4MHD9b777+fWZaYmKiFCxdq8ODBrgrVph9//NGqbMSIEQ61cdddd6lSpUoWz8PixYsVHx8vHx+ffMeYm5dfftmq7KabbtJbb73l0n6CgoI0ZMgQl7aZwVaiVcuWLQukr/yKiorSv//+qyNHjigqKkp+fn4qX768WrRooQYNGhR1eLBDcHCwfvzxR/Xq1UtpaWmZ5YmJiXrjjTf07bff5qv9kydPaufOnbp06ZIuXbokb29vlS9fXlWqVFHbtm1VqlSp/D6Ea0JCQoL+/fdfHTx4UJcvX1apUqVUvnx5NWnSRDfddJPNqZgBAACuKwYAAACAYq179+6GJIufLl26uLSPcePGWfXh7+9vxMXF5Vpv1apVVvVWrVqVuf7EiRPGk08+aQQGBlptZ8/jCA8PN55++mmjUqVKNutLMvz8/Izhw4cboaGhdseVlx07dhhjx441OnfubHh5eeXYd8ZP+fLljSFDhhj79++3u4+sQkNDrdqcNWtW5vrExETjgw8+MIKDg3OMwdPT0+jTp49TMeT3+coqISHB+OSTT4zOnTsbnp6euT5vJpPJuOmmm4xXXnnFOHz4sFP9OaJLly5WMWTdb+z15JNPWrXTr1+/HLfPvu3YsWMz16WlpRlff/210aRJkxyfJ7PZbPTo0cPYuHGjE4/6qkuXLhlffPGF0b9/f6NixYp57tOenp5G586djXnz5hlpaWlO92sYhnHo0CFj9OjRdvUryfDx8TE6depkTJw40Th06JBTfUZGRhrjxo0zmjdvbphMphz7cnNzM1q1amXMmDHDSE5OztfjdMagQYOsYjp16pSRnJxslC9f3qJ84cKFdre7bds2i7oeHh7GxYsXDcMwDLPZ7PT5JD093Vi3bp3x0ksvGa1btzbc3d3z/HtWq1bNePrpp40TJ044+OxYSk1NNWbPnm1069bNcHNzs2tfqlWrlvHwww8bCxcuNBISEuzua8GCBcYdd9xheHh42NVPlSpVjH79+hnff/+9ERUVla/HaQ9XHcts2bp1q83H+P777zvVXmG9FmvWrGnR3qBBgyzWL1iwwGjbtm2u56PWrVsby5Ytc+pxGkbh7KN5Pc4Mts7rjv7UrFkzs70jR45Y/f1y6tsRd999t9W558KFC/luNy8vvfSS1eOdOnVqgfe7efNmq2P7qFGjCrxfeyxevNgirjp16hjx8fGZ622drxy9VnzhhRes2pgyZYrDsW7cuNGqnf79+zvcjiPS09ONChUqWPV7/vx5h9saMWKEVTv5OfbYY926dTZf52vWrCnQfl3tnXfesXoMr7zySqHGkP21kPVYaRhX30f27ds312uImjVrGp988onD5ztXvmez93wyduzYfJ9PXHG+yI2t99Ku/Lzkqaeesmrf09PTOHfunMNtXb582Xj99deNRo0a5fqceXt7G7169TIWLFjgUPsDBw60aKdu3bp21920aZPNWObMmWN3G71797aoGxISkuO2tvatrI4ePWoMHjzY8PHxyfF5qlixojF+/HgjNjbW7hgBAACuNST9AQAAAMVYWFiYzZvkP/74o0v7OXPmjFUiiCTj22+/zbVebjcevvrqq1w/oM3rw/gff/zRKFu2rN03E3x9fY3Zs2fnGVduDhw4YNSrV8/pGxomk8l49NFHjcTERHufesMwck/627dvn9GgQQO7YzCbzcb06dMd6t9VN5CmT59uVK5c2ennbv78+Q736QhXJcq8+uqrVu307Nkzx+2zb5uR9Hf69GmjXbt2Dj1Pr776qsPxDhw40K7krJx+GjZsaOzdu9fhftPT043XX389z+TP3H4qVqzoUJ+pqanGpEmTjDJlyjjcV61atYzVq1c7/DjzI6ekP8MwjGeffdai/M4777S73eyJqffee2/mOmeT/lavXm1Ur17d6b+lu7u78frrrzuVRLpr1y6jadOmTvctya7j4okTJ4zOnTvnq58xY8Y4/PgcVZBJf4ZhGN26dbNqv3nz5g61UdivxZySF65cuWLceeedDvU/aNAgIyUlxaH+C2sfLaqkP8MwjFtvvdVifalSpYzIyEiHnqesTp06ZXU8GjhwoNPt2euPP/6wuLY2mUzGF198UeD9Zti2bZtRunRpi/7XrVtXaP3bEhERYfEFG5PJZPUadEXSX5s2bazaWL9+vcPxJicnG6VKlbJop3Llyg6344gDBw5Yxe5IMk1W33//vVVbBZ24NmzYMKs+b7zxxgLtsyB88MEHVo/jgQceKNQYckr6y7jutfWeOqef5s2bO5ToTNKfbQWd9Hf8+HGbf9ePP/7YoXb+97//5fhlyNx+2rVrZ+zevduuPr766iur+vZ+8WbixIk2+x8yZIhd9ZOTkw1fX1+7j225Jf1NmzbN8Pb2tvs5Cg4OLpQvEQIAABRHbgIAAABQbP32228yDMOirGzZsurTp49L+6lSpYpuu+02m/07Y+rUqRZTmDnq888/18CBAxUREWF3nbi4OA0ePFgzZsxwqk9JOn/+vA4fPux0fcMw9NVXX6lz586Z0wDnx5YtW9SuXTsdPHjQ7jppaWl6/PHH9eWXX+a7f3slJibqoYce0uOPP65z58451YZhGIqJiXFxZAUjKirKqqxMmTIOtXH8+HG1adNGGzdudKjeO++8o9dff92hOhs2bFBqaqpDdbI6cOCA2rZtqxUrVjhUb9CgQZowYYKSk5Od7tsRMTExuuuuu/TKK6/oypUrDtcPDQ1Vz549rabFLSrZp+P9/fffdeHChTzrJSUl6Ycffsi1LWeEhobq1KlTTtdPTU3VhAkTdPfddzu0P27btk1dunTR7t27ne7bHmFhYerYsaPWrFlToP2UBE8//bRV2Y4dO3TmzBm76heX12JERIQ6duyoX3/91aF633zzjUPThBbWPlrURo0aZbGckJCg2bNnO93eF198YTFdoiQ9/vjjTrdnj4SEBI0cOdLi2vqNN97Q8OHDC7TfrFq0aKG5c+dmLhuGoUcffTRf5+n8euqppyymmx05cqS6dOni0j7S0tK0a9cuizIPDw+1atXK4bY8PDwUEhJiUXbu3Dmnr0HtsW3bNquydu3aOdVW+/bt7WrfVQzDsPmeztGpiYuDSpUqWZX98ccfRf4eIj09XQ8//LAmTJhgdVzLzY4dO9S5c2fFxsYWYHTIr1q1aunOO++0Krf3s5K0tDSNGDFCo0eP1uXLlx3uf+PGjerYsaNWrlyZ57Y333yzVZm97+Fy2s7e+hs3blRcXFye8eTl1Vdf1ahRo5SYmGh3nYzreHuvVQEAAK4l7kUdAAAAAICcrV692qqse/fu8vT0dHlft956q9WN8VWrVjnczl9//aXJkydnLnt5ealbt27q2rWrKlWqJHd3d50+fVqbNm2yeYNj4cKFevzxx62SHc1mszp16qRevXqpatWqMpvNOnv2rFatWqW///47M7Fo1KhRmjBhgsNx2xIYGKiQkBA1bNhQtWvXlr+/v/z8/JSQkKDw8HDt27dPf/31l06ePGlRb/PmzRo+fLh++uknp/s+ffq0XnzxxczkQXd3d3Xt2lXdunVT1apV5e3trXPnzmnVqlVaunSp1Q2m5557Tj179lRwcLDTMdgjJSVFt9xyi81EGTc3N7Vs2VI9evRQjRo1VLZsWSUmJioiIkJ79uzRpk2btH///gKNryDs27fPqqx8+fJ214+JiVHv3r0zb0qYTCa1b99eN998s2rUqCE/Pz9dunRJ69ev18KFC61ueEyePFl33nmn2rRp43DsZrNZLVq0UOPGjdWgQQOVLVtW/v7+MgxD0dHROnLkiP7991+tX79e6enpmfViY2N1//33a8eOHapevXqe/XzzzTf67rvvrMrLly+vW265RTfeeKOqVKmiUqVKKSEhQTExMQoNDdW+ffu0ceNGh2+IxcfHq2vXrtq+fbvVutq1a6tbt25q2rSpgoKC5O7urvDwcG3ZskXLli3TpUuXMrdNSUnRo48+qooVK+r22293KAZXa9KkiUJCQrRlyxZJV5Pmvv32W7344ou51lu4cKHF81elShXdeuutLo+vUqVKatmypRo2bKjg4GD5+/vLx8dHcXFxunjxovbs2aM//vhDFy9etKj322+/6dVXX9W7776bZx9JSUl66KGHrBLHTCaT2rVrp44dO2Yem81ms6KjoxUREaH9+/dr165d2rVrl9W5JCdDhw61mdTYrFkzde3aVfXq1VOZMmXk4eGhmJgYXb58WQcPHtTu3bu1detWh27yF3fdunWTm5ubxTFAunoz97777su1bnF5Laampuqee+7R3r17M8uaN2+uW265RTfccIPKlCmjyMhIbdq0SQsWLLBK5p4zZ47uueeePB9vYe6jjvDz89NNN92UuZw92apixYo2k2eyqlKlisVy7969Vbt2bR07diyz7PPPP9ezzz7rcHypqan66quvLMoaN26sTp06OdyWI959912FhYVlLvfu3Vvjxo3Ls97ly5f1ww8/aPHixTp06JAuXLggf39/ValSRa1bt9ZDDz2kTp06yWQy2RXH7bffruHDh2d+QePgwYP65ZdfNGDAAGceVr4sWrTIIlG8Ro0amjJlisv7CQsLs7qeqV69utPvaWrXrm117Xno0CFVrlzZ6RhzY+sLOHXq1HGqrRo1asjd3d0i0fPQoUNOx5aX/fv32/zSQPfu3Qusz4JiK2EyMjJSw4cP13fffScPD48iiEp67bXXNGfOnMzl6tWr6/bbb9eNN96ocuXKKTY2VgcOHNAvv/yi0NBQi7qHDh3Syy+/rGnTphV22HapVKlS5vkkNjbW4hwgXX0t+vn55dpGjRo1Ciy+wtKjRw8tWrTIouzff/+VYRh5Hvsfe+wxm19k8Pb21q233qpOnTqpcuXKSkhIUFhYmBYvXmz1RYLo6Gj17t1bK1euVIcOHXLsq2bNmqpTp46OHj2aWbZixYo8vwCUkJCgDRs22Fx36tQpHTp0SPXr18+1jezJgaVKlco1Vls+//xzTZo0KXO5fPny6t27t0JCQlS+fHklJibq6NGjWrhwodV78osXL2rEiBFOf3EVAACgxCqiEQYBAAAA2KFWrVpWU5e8++67BdLXpk2bbE6VkjHVpC22phjKOvVN3759jZMnT+ZYPyEhwWL50qVLRoUKFazaDAkJMXbt2pVjO8ePHzduvvnmzO2zT/klO6c+WrVqlVGpUiXj5ZdfNjZt2mTXNJTp6enG0qVLjbp161r1+fPPP+dZ3zBsT0mUdTqb3r175zpdza5du4zg4GCrNkaMGGFX//mZKir7NKIZP/fee69x8ODBPOsfOXLEeOutt4yKFStmTmlcUFwxJeb58+dtTlf75Zdf5lgnt79tmzZtjG3btuVYNzQ01GjRooVVG7fccovdMdetW9e49957jQULFhhXrlyxq05YWJgxcOBAq35vv/12u+rXqVPH6rjw7rvv2jX1dWpqqrFu3TrjscceM2rXrm1Xf7amHWzUqJHx119/Genp6TnWi4+PNyZNmmR4eHhY1A0MDMz12OcquU3vaxhXp8zOuq5hw4Z5ttmzZ0+LOi+//LLFemen9501a5Zxww03GBMmTMj1eJxVamqq8f3331tMGyldnTpy8+bNedb/7rvvrJ6fFi1a2D3d9Llz54zPP//caN68ea5Tp65du9aqnxtuuMHuKTcjIyONOXPmGJ07d7Z6vgtCQU/vaxiG0aRJE6s+7Jl+sqhei9mnKcx6nK1Xr57x999/51j34sWLxi233GIVd4MGDfLst7D20Zwep71TJmaPMWOaeUe99957Vm3l9tzmZP78+VbtTJs2zamY7BUdHW0x3bSfn1+u16gZZs2aZZQrV87mtU7Wn5CQkMy/e/YpC+2Jp23bti59vPYIDw83KlasaBHrH3/8YXPb/E7vu2LFCqv63bp1czp2W9NCzpw50+n28vLQQw9Z9ffNN9843V7217LZbDaSk5NdGPH/+/bbb61i9/f3z/WYXJy1atXK5mvwxhtvNH788UcjKSmpQPvP/lrw9PTMnDK8dOnSxhdffGGkpqbarJuUlGSMGTPGKnaz2WycPn06z76LYnrfgurflQp6el/DMIytW7fa3O8OHTqUa70ff/zRZr27777bOHPmTI71fv31V6Nq1apW9YKDg/N8Pzdy5EiLOhUrVszz9f7nn39a1MnYpx05R7dv396iTs+ePXPd3tZxPOP6zcPDw5g0aZLV50UZ0tPTjY8//thwc3OzamPjxo15xgoAAHAtIekPAAAAKKaSkpKsPmyVZKxcubJA+ktMTLS62S7JWLFiRY51bH3wn/EzevRoh2PI/gG1JKNTp05GXFxcnnVTUlKMe++9N8d47LkhERcXZ6SkpDgct2FcTfpo3ry5RZ/t2rWzq66tGxUZP4899phdyYdHjx61Snb09/e367lz9gbO77//blXPZDIZ7733nj0P20JCQoJx7tw5h+s5whWJMo8++qjNv1NuiQM5/W3vuOOOHG9kZBUREWF1U97Nzc04ceKEXTHbm+hny7hx46z+vnklc+7du9fqsY4bN86p/u3Zf3/66Ser/u655x6Hbvr++eefVse/xx9/3KmYHZFX0t+VK1esXtcbNmzIsb0TJ05Y3fzKnjDsbNJfdHS00wkCJ06cMGrUqGHR78CBA/Osd99991nUKVeunBEeHu5UDLntSy+88IJFPx4eHsaRI0dc3o+rFEbS35AhQ6z6GDBgQK51ivK1mD15IeMnJCTEiIiIyLN+YmKizUTHtWvX5lqvsPbRDEWd9BcZGWl1TLrvvvscbqdHjx4Wbfj6+hpRUVFOxWSv999/36LPd955J886r732Wo7ncFs/vr6+xt9//21X0p9hGMZLL71ksd3u3btd+ZDz1L9/f4v+Bw8enOO2+U36+/77763qP/LII07H/tVXX1m1Z8/f1FlZv1yU8ZOf92QdO3a0au/s2bMujPj/2dqPu3btWiB9FYalS5fm+josXbq00adPH+O9994z1qxZY8TExLi0f1uvBUlGUFCQsXPnTrvaGD58uFX9t99+O896JP3ZVhhJfykpKTY/K/n9999zrBMTE2MEBgZa1Rk+fLhd19THjx+3mfg3atSoXOvZSqzP6ws7L774otW5Pfv1XG6io6MNd3d3izpTpkzJtY6tpD9JhpeXV66fQWU1ceJEq/rDhg2zqy4AAMC1wk0AAAAAiqUzZ87YnPKtatWqBdKfl5eXypYta1Vua7rDvLRu3VoffPCBQ3Wio6OtpgMNCAjQvHnz5OPjk2d9d3d3ffvtt/maPsjHx0fu7u5O1Q0MDNS3335rUbZx48Z8TV/bunVrffrpp3Jzy/utW+3atfXUU09ZlEVHR2vjxo1O95+Xt956y6rslVde0fPPP+9wW97e3nlONViUDMPQhAkTrKYjlKRbbrnFrilvswoODtb3338vb2/vPLcNCgrS2LFjLcrS09O1fPlyu/oKCAhwKLas3nzzTYWEhGQuG4ahmTNn5lrn+PHjVmXDhw93qv+8XvuGYVjthzfddJPmzZvn0JSBvXr1snqOZ82aZTU1bWELCAjQvffea1E2a9asHLefNWuWxZSsHTt2VN26dV0SS+nSpe2eujK7GjVq6LPPPrMo+/nnn62mVM0u+77Up08fm+cpe+S2L2Xvp2vXrk5P22jP+aokqFChglXZ6dOnc9y+OL4Wy5Qpo/nz5ysoKCjPbb28vGxOOf3nn3/mWq+w9tHiIjAwUA888IBF2aJFi3Tu3Dm72zh8+LBWrlxpUfbggw/K39/fJTHmZPbs2Zn/DwgI0JNPPpnr9p9++qkmTpxoc12FChXUsGFDValSxeK4GBcXp7vuukt79uyxK6bHH3/cYtne87orzJ8/X/Pmzctcrly5ssPX7o6IjIy0KstrStDc2KobERHhdHt5Kcnx23ovV5yvufNy22236ZlnnslxfUxMjBYuXKgXXnhBnTt3VkBAgBo1aqRBgwbpq6++0uHDhwskrlmzZllMq56byZMnW70HyOt8g6Ll7u5u83oit2uj2bNn6/LlyxZlISEhmjFjhl3X1LVq1dLPP/9ste2sWbOs2s2qe/fuVp8f5HV+yT4179ixY1WqVKnM5VWrViktLS3H+qtXr7aYslySbr755lz7zMnUqVPVo0cPu7Z98cUXrT4f47UEAACuNyT9AQAAAMWUrZtLUv4SePJiq+3cPlDOydSpU2U2mx2qM2fOHMXFxVmUvfzyyw7dlPL19dU777zjUL+u1KRJE7Vo0cKibN26dU63N2XKFIeSEB966CGrsm3btjndf27Wrl1rlVDYuHFjjR8/vkD6KyrR0dFauHChOnfurDfeeMNqvdls1pQpUxxud+zYsQ69lu+//36r11RB/W2zMplMevjhhy3K8tqnY2JirMqcTYLJy9KlS7Vv3z6Lso8//lgeHh4Ot/Xcc8+pdOnSmcuJiYn6/fff8x1jfg0dOtRi+aefflJ8fLzVdoZhWCS12KpblHr37q1y5cplLqempmrTpk251sm+LxXUflRY/ZQkZcqUsSqLjo7Ocfvi+Fp8+umnHfoiQK9evVS+fHmLsryOs9fjvjNq1CiL5dTUVJsJ8TmZMWOG1ZdaRo4c6ZLYcrJ//36LRLwhQ4bkmmR4+PBhvfjiixZlXl5eeumll3Ts2DFduHBB+/fv15kzZ3ThwgV9/PHHmce3uLg4LViwwK64goODdcMNN2Qur1q1ypGH5bRLly7piSeesCj77LPPFBgYWGB9Zr/Gl2SRUOIoW3VtnRtdpSTHb+u9nK1jfEny/vvv6/XXX7fri1Hp6ek6cOCAvv32Ww0fPlz169dXw4YN9c477+jChQsuiadLly6666677N4+KChIt912m0XZzp07Lb64geLH0WujadOmWZXZ+4W+DO3atdOgQYMsyuLi4nL9ElBgYKCaN29uUZY9qS+riIgI7dy5M3O5Zs2aatKkiTp27JhZFhUVpS1btuTYRvb2y5Ytq2bNmuW4fU5uuOGGPJPys/Lw8NCAAQMsyk6fPl3kX9wCAAAoTCT9AQAAAMVUQkKCzfKCvEljq+2c4shJ3bp11blzZ4f7zj7qi9lstvqA2x59+/Yt0htZ2UfV+vfff51up2vXrg7Vady4sXx9fS3KDh065FT/eVmyZIlV2XPPPef0SIlF5bbbblOzZs2sfm688UZVr15dgYGBuvfee3NMdJsxY4bdo3pk8PX1tRopKS+BgYFW+1ZB/W2zy97v9u3blZKSkuP2tpJe8pP8mpv58+dbLNetW1ddunRxqq1SpUqpW7duFmWrV692NjSX6datm2rVqpW5HB0dbfW4pavH0LCwsMxlPz8/9e/fvzBCtIubm5tq165tUZbX8TH7vlRQ+1H2fjZt2mQ1Wsn1xlbyT27XA8XxtejoCKNms1ktW7a0KMvrOFtY+2hx0qxZM3Xo0MGi7Msvv8x1BKAMiYmJ+uabbyzK2rRpY5Wc4Gp///23xfJ9992X6/aTJ0+22N8DAgK0cuVKTZkyxSJJT5LKly+v0aNHa/v27WrYsKHDsWV9nRRGMr90dYTBS5cuZS4PGDBA99xzT4H2aeu6wZ7RjnNiK2kuOTnZ6fbyUpLjt3XsLsgvkRUGNzc3vf3221q7dq3D75ck6eDBg3rttddUu3ZtjRs3TomJifmKx5kRrVu3bm2xHBsbqzNnzuQrDhQsR66NTp06ZXUN0apVK4sR1O2VPUlbynvkvuyj7K1duzbHY8zff/9tkYyfUbdnz54W2+WWOJh9Xbdu3RxKbswwdOhQh+tlfy1Jhfc+GQAAoDgoWXdjAAAAABQoW9PM2JpiODfO3HiRrJM/mjdvrsqVKzvcjre3t3r06KFffvnFqTiyO3bsmP7991/t3r1bx44dU3R0tKKjo5WUlGTzuTl58mSuy/ZyJnHSzc1NwcHBFqMt5TV9prOyJ2B4eHjo/vvvL5C+CtKBAwecqufn56ePPvpIw4YNc7hu27ZtHZruMkPt2rV18ODBzGVn/7axsbFas2aNdu/erf379ysiIkLR0dGKi4uzOcJIbGysxXJSUpIuXLigatWq2Ww/JCREbm5uFm0NHz5cv/76qxo3buxUzDn5559/LJbbt2+fr/ayJtdJ0o4dO/LVniuYTCYNHjzYYsrTWbNm6ZFHHrHYLvu0y/3797dKAna1vXv3asuWLdq9e7dOnDih6OhoxcTEKCkpyeb2R48etVjO6/jYpk0bi3PDunXr9Nprr2n8+PEuTTBu06aNfvzxx8zl0NBQDR8+XJ9++mmJmHK1INg6FuQ2FV1xey3Wrl3baro3e+tllddxtrD20eJm1KhRWr9+febyqVOntHTp0jxHuvrpp5+sRrLOPsVtQVi7dm3m/8uWLat27drluO3ly5f1ww8/WJR9+eWXee7T1atX16JFi9S8eXOHRmyrXr165v8vXbokwzCcnkrdHnPnzrW4Ri5Xrpw++eSTAusvN/l5nK54z5JfJSV+W+0W5D5WmNq3b69Vq1Zp69at+v777/XLL7/kOt1qdnFxcRo/fryWLVumhQsXOnXekORUknv284109ZyT9ZiA4sWRa6Os58gMeSWc5yQkJES1atVSaGhoZtnGjRtzPV/cfPPNFqPRx8XFaePGjTb31ewJexnJftkTB5cvX67XX3/dqv65c+e0f/9+q/6d4crXEgAAwPXi2v30CQAAACjhcpoyKioqShUqVCiQPq9cuWJV5mjCQ/bpbe3tN/sNGmfaydC8efN8Jf2lp6dr5syZ+vLLL3OdxsYetp5Te2QfXc1e2UfuKIgPvJOSkqwSMJo1a3ZdJMd4e3urb9++mjBhgoKDg51qo6j+ttu2bdPUqVO1ZMkSh0fwzO7KlSs5Jv0FBQXprrvu0qJFizLLQkNDddNNN+nuu+/WwIED1atXr1ynVrTH2bNnLUa2k6Q//vjDqamkMpw/f95iOTw83Om2XGnw4MEaP3585s3Gf/75R8ePH88ccerKlStauHChRZ2Cmto3KSlJn3zyiWbNmmV1g89ReR0fBw8erP/9738WCQvvvPOOfvjhBw0ZMkR9+vTRjTfemK8YpKujXL366qsWr4vZs2dr2bJlGjx4sO69997MZNbrha2/TU7XJcXxtVhYx9nC2keLm759+6py5co6d+5cZtn06dPzTPqbPn26xXJQUJDVtHwFIeuXIVq0aJHra3nNmjUWicstW7ZUv3797OqnXr16Gj58uD7++GO7Y8s+7fmVK1cKbJrdCxcu6KmnnrIo+9///mc1rXVBsDXVd36uRWzVdeYLFfYqyfHbOnY7+/6kuGrVqpVatWqljz76SMeOHdPatWu1adMmbd++XXv27Mnzb7VlyxZ169ZNmzdvdnjEeG9v7xyviXNja7RFEpWKN0eujbZv325V1qpVK6f7btWqlUXSX1RUlI4dO6Y6derY3L5jx47y9va2GMVyxYoVeSb9mUwm9ejRQ9LV9/flypXLvAb7999/FRcXZ/Wlouyj6UrOJ/05c/3GawkAAFzvSPoDAAAAiqmcbvhduXKlUJP+HL3x6ExsERERVmXOJlRJ1iMEOeLAgQN68MEHXTbCl7MfOAcFBTlVL/tNydymYXVWeHi41TR+11pSg9lsVunSpeXv76+qVauqRYsWCgkJ0d13353v6aML+2+bkpKiZ599VtOnT7c5QoUz8tqv33vvPa1Zs8ZiRKe0tDQtWLBACxYskNlsVvPmzdWuXTuFhISoc+fOqlmzpkMx2BrJ5cKFC7pw4YJD7eTG1rGpKNSoUUM9evTInMrLMAzNmjVLb7/9tiTphx9+sLipV79+favpN11h/fr1GjRokI4dO+aS9vLaj5o1a6bRo0dbJdCEhYVp7NixGjt2rCpUqKCOHTsqJCRE7du3V5s2beTl5eVQHJUrV9Y777yjZ5991qL84sWLevfdd/Xuu++qTJkyme23bdtW7du3l5+fn0P9lCSXL1+2KsspUbc4vhZddZzNa5rnwtpHixsPDw899thjGj9+fGbZn3/+qdDQ0ByvwXbu3KlNmzZZlA0ePDhfU6TawzAMi2NWXtcrGzZssFgeOHCgQ/09+OCDDiX9Zd8Xchop1RVGjBhh8Vq68847HX58zrL1xRBXJ80V5Oi2JTl+W8fDay3pL6vatWurdu3aGjx4sKSr15+7du3SmjVrtGDBAq1bt87m6IdHjhzRsGHDHP7imKvON1LBvG8rjt58800tWbLEoTojR47UyJEjCygi+zhybWTrywrOTAGfoVGjRjb7yCnpz9vbWx06dLBIyFuxYkXme4cMx48ft0gmvOmmmzKT0U0mk7p376558+ZJujoF+T///KPbbrvNoo3sIwUGBwfbHH3PHs68nq7n1xIAAIBE0h8AAABQbFWtWlUmk8nqpsTZs2dVr149l/eXnJxs86a6oyMXODN6l60P0G19Y9teztbdu3evunfvrkuXLjndd3bOfuBs68Pr4iL71HyS48mhxUVoaGi+EkydUZh/25SUFPXr10+LFy92ebu5qV27tlasWKG+ffta3EjKkJaWpq1bt2rr1q2ZZcHBwbr33nv14IMP2jXSZ2Ek5GVNpCtqQ4cOzUz6k6RvvvlG48ePl5ubm77++muLbYcMGeLy/letWqU77rjDoWkr82LP8fH999+X2WzWBx98YHP9xYsXM5NJpas3OTt37qz7779f9913n0qXLm1XLM8884xSU1P1yiuv2Ez0unLlipYtW6Zly5ZJktzd3dW2bVsNGDBA999/v8VoXdcCWwl7OU05WBxfi4V5nC2sfbS4eeyxx/TOO+9kvo4Nw9Dnn3+uyZMn29w++yh/JpOpUBI4oqOjLRLpKlWqlOv22ZNYQ0JCHOqvefPmcnd3zzNhNEPW5CuTyVRgx5Lvv//e4logICBAM2bMKJC+bClbtqxVWWxsrNPt2aprqw9XKcnx23ov58qk7OLObDarRYsWatGihZ555hkdOHBAL7/8ss2kswULFmjLli0Ove6L83u24urkyZPatWuXQ3WyjwBc2JKTk21+ZpHTtZGtbfPzxTFb77VtvSfP6uabb7ZI+tuyZYuioqIsPivJaWrfrG1kJP1lbJ896S/7SH/OjvIn8XoCAABwxvUzLwkAAABQwnh5edkc+Sprkowr7d6922YCRv369R1qx93d8e8W2RrVJD9TXDkzgk5KSor69+9vM+GvY8eOGjdunH777Tft2rVLFy9eVExMjFJTU2UYhsXPoEGDnI67pIiOjrYqu5ZHvCrJpkyZYjPhr2rVqnriiSf0/fffa+PGjTp16pSuXLmixMREq3161apVTvXdvHlz7d27V1OmTMnxhlhWYWFh+uCDD9SyZUvdfPPN2rlzZ67b27qZdi3r06ePxQ2/U6dOacWKFdq9e7e2bduWWW42m/XII4+4tO/Lly9rwIABVgl/bm5u6tWrlyZNmqQ//vhD+/btU3h4uGJjY5WWlma1L9maUiwvZrNZ77//vjZv3qw777wzz3NMYmKi/vrrLw0dOlTBwcGaNGmS3ck3L7zwgvbu3asHH3wwz9HHUlNTtW7dOj311FOqWbOmXnzxRcXFxdn9uIq7zZs3W5VlTCed3fX2WsyuMPfR4qRKlSrq06ePRdnXX3+t5ORkq22jo6M1Z84ci7IePXo4PQ2zI7K/LvP6ckr2JApHR7B2d3d3aKSiU6dOZf4/ICDAqevovCQlJWn06NEWZe+//76qVKni8r5yUrFiRasyW6OE2ivr85ZbH65S0PG7ubkVWMKnrfdy27dvtzna3fWgYcOGWrx4scaNG2dz/cyZMws3IJQIO3bssHmuzunaKCYmxmLZZDLZHDHUXrZGAs3eR3bZk+/S0tKs3tdlT/rLXif7cvbtDx48aHUszE/SHwAAABzHSH8AAABAMdaiRQuFhYVZlG3ZsqVA+rLVbrly5exK1skvWyPz5fUhdm5sJaXl5YsvvtCBAwcsymrXrq0ff/xRrVq1srud/Ez1VVLYumGen9FOUDAuXryoSZMmWZS5u7tr6tSpGjVqlN2JBfnZp318fPTSSy/pxRdf1Nq1a7V8+XKtWbNGW7ZsybXdv//+W23atNEXX3yRYyJtqVKlrMrGjBmT4yhTJZ2Xl5ceeOABffrpp5llX3/9tVUiQu/evVW5cmWX9v3OO+9YJUS3atVKP/zwg0NJO/nZl0JCQrRkyRJdvHhRv/32m1atWqX169fbHEkyQ2RkpF599VUtXrxYf/zxh10jrNSvX1/ff/+9Pv30Uy1dulSrVq3SunXrdOjQoRwTJOLj4/Xee+9pyZIl+uuvvxyeqrq4uXz5sg4dOmRVntMInNfbazEnhbWPFiejRo2yGAHo0qVLmj9/vh544AGL7b777jur5LuimqbRza14fQc+6/V3QSVBJiQkWCXnfvLJJ/rkk0/sbuPkyZNWZY8++qjVlz5ymoLT1rTPJ06csLt/e+LJaWppV3Bl/Onp6Tpz5oxFWbVq1QpshKuWLVtalUVFRenQoUNq0KBBgfRZEowdO1YbNmzQX3/9ZVGefdQyQJI2btxoVebv75/jNLbZR/E1DEPx8fFOJ/7Z+mJJXiMFt2jRQoGBgRbH/xUrVuiee+7JjGnlypWZ67y8vNSpUyeLNmrVqqXatWvr2LFjkqQ9e/bowoULme8/sr9eMqYEBgAAQOEh6Q8AAAAoxrp27Zo5HVyGlStXKjk5OV8j4dny559/WpV169bNpX3kxNZ0NfmZLtCZunPnzrVYLl26tFasWOHw1K95TbNzLbA1/dj1PtJTcbRkyRKrkdmmTJmiZ555xqF2XLFPm0wmde7cWZ07d5Z0dZS0nTt3au3atVqxYoVWrVpllRCWnJysYcOGqVatWpn1srI1Is61/vobMmSIRdLfokWLrEb+KIipfX/88UeL5erVq2vFihUOT6Xuir9PhQoVNHToUA0dOlTS1SkK161bpzVr1uj333/XkSNHrOps2rRJ/fv3t7qxn5uAgAA98MADmclLly9f1oYNG7R27VotW7ZMe/bssapz+PBh3X777dq+fbvLz9GF6e+//7ZKcDSZTGrXrp3N7a/H12JuCmsfLQ46deqkm266yWKaxunTp1sl/WWfRrZKlSq6++67CyXG7MfIvL6kkP2a9NKlSw4lRqWlpdl9TXTmzBmLEbx79Ohhdz/55ejUmrZkJIFkldMUnDVr1pS3t7fFVN2nTp1y+j2Nrb4LMoHN1mh5R48edaqtkydPWo2uXpCxN2rUSBUqVNDFixctyleuXHldJ/1J0ujRo62Ou8eOHVNaWprMZnMRRVU4bI3wX1hmz56t2bNnF1n/zsg+wp0ktW/fXiaTyeb2tj7fuHLlitNJf1mngs+Q16iybm5u6tatm8XnSVkfx44dOyw+N+nQoYPNL3LcfPPNFsfcFStW6MEHH7RqT5KaNm2q8uXL5/5gAAAA4FLF66uNAAAAACzccccdVmXh4eE2p+vMj/Pnz2vp0qV29V8QKlSoYDUlr62ECnvt3r3boe1jY2Otvr3/yCOPOJzwJ0nHjx93uE5JU65cOatR4hx9zlHwli9fbrEcGBiop556yuF2CmKfdnd3V6tWrfTss89q6dKlunjxombMmGE11WBaWppefPFFm23YmmovP6MGlQQtW7ZU06ZNM5eTkpIskqvKly+vO++806V9HjhwwGrartGjRzuc8JeSkpKvqRBzUrFiRfXt21cff/yxDh8+rG3btun++++32m758uX6/fffne4nMDBQt99+uyZPnqzdu3fr0KFDevzxx62SAvbt21fipwb8+OOPrcpatWqV4wiS1+Nr0RGFtY8WlSeffNJied26ddq3b5/F8t69ey22efTRRwtkGltbSpcubTGCWvYR1rKrVq2axXLWpDx77Nq1y+5kmi+//FJpaWmZyz179nSor5LE3d3d4vwlXU3uzzo9vb1SUlKsRiivVKmSy0e5zcrWaHm2Rv6yx4YNG6zKchpJ1RVMJpPN93Sff/55gfVZUrRu3dqqzDCMfH35rCDZGg3S2eS96zk531FHjhyxeX7O7ZrbVuJb9lkFHLF//36rMnumBM8+1e6hQ4cyr8fzmto3p/KMemlpaVq9erVdbQAAAKDgkPQHAAAAFGO1atVSly5drMqnT5/u0n6++uorpaamWpT5+/urb9++Lu0nJx4eHmrWrJlF2ebNm5Wenu5Ue//++69D2589e9aqr+xT29jjwoUL10XSn6enp9XNyZ07d9qcdghF59SpUxbLbdq0cWrqOGdvajvCz89PI0aM0Pbt262mFN+8ebPVY5GkOnXqWI1wsWHDBosEimtRxuhhtjz00EMunx7Q1nPvzPFxx44dFiM8FZQWLVpo7ty5mjhxotW6X375xWX91KtXT5999pm+/fbbAu2nsG3evFnr1q2zKn/44YdzrHO9vhadVVj7aGF58MEHraYlznqdmv2a1Ww2a/jw4YURmqSrIx1lnXLb1tTVWWUf0fKnn35yqL/sI6PmJCwsTFOnTs1cbtSokbp27epQXyWNrXOHreNNXnbs2GE1krGtEYFdqUGDBlZJPIcPH7YaPc8eth5zQcdv69ph9+7dWr9+fYH2W9zl9AWGwkpKdpS/v79VWXR0tMPtnD59ulCuya4VH374odVnBV5eXurXr1+OdWwl8jqaRJ5V9kTnMmXK5Di1cFa2kvAyvhhmb9Jf9+7d5eb2/7eSM+pt3brVagRCkv4AAAAKH0l/AAAAQDE3evRoq7JVq1Zp3rx5Lmn/xIkTmjx5slX5sGHDrKZEK0jZb7KeP39eq1atcridw4cPO/yBenh4uFVZXtPl2OKqv0lJkP3GdGpqqt03ulE4su/XzuzT4eHhTr0OnVWxYkU9//zzVuW2Rv50c3OzmgoxNja2xE2P6aiHHnoox6kQc0sIdJarjo+OJs7k15gxY6ymIi+IEUkfeOABq6T1kjryaWxsrAYPHmxVHhAQYLM8w/X6WsyvwtpHJVmNSOnKhEwfHx+racW/++47xcXFKTw8XPPnz7dYd+edd1qNplfQsk5h+u+//1pNX51V586dLY6xmzZt0pIlS+zq58SJE3aNnhYdHa377rvPInFt/PjxFkkVrlSmTBkZhpGvn0GDBlm1u2rVKqvtxo0bl2Mct956q1VZ9v3DHrbq2GrblUwmk3r16mVV7miibmpqqhYtWmRR5u3tbfNLXq7UoUMHtWrVyqr8qaeeKtJpXovahQsXrMo8PT1tTs1aHGRPsJacG5H7n3/+cap/W8mQ13qC//Lly20e1x988MFcp7Ft3769VZkzxztJ2rZtm0JDQy3K2rZtm+PUwlnVrVtXNWrUsChbsWKFkpKSLBKQg4KCbI5omrGuefPmmcunT5/WwYMHrZIGPT09CzyBGQAAANZI+gMAAACKuT59+tj8AHb06NE2kzEckZ6erhEjRliN0Fa6dGm98sor+WrbUQMGDLAqe++99xxuJ+uoKfayldzo6HObkpKiTz75xOG+S6o+ffpYlX344YdWI0ai6GTfr505Xnz66aeFPhJI1uSMDFFRUTa3vfvuu63KJk2a5PKYipOyZcvqrrvusioPCQlRkyZNXN6fK46PV65c0ddff+2qkOxiNptVt25di7Kc9qP8yr7PFlQ/BSktLU1DhgyxOfXcm2++qdKlS+da/3p8LeZXYe6j2f9+sbGxLm3/ySeftEg+iI6O1g8//KCvv/5aycnJFts+/vjjLu3bHh06dMj8f3h4uHbt2pXjtmXLlrW6Jh0yZIjVKEvZXbp0Sffee2+eo24dO3ZMN998s8W0tr169Sq00bWLUrdu3aymA9+8ebN27txpdxvJycmaPXu2RZm3t7fN61JXszUtt6NT5P766686d+6cRdndd98tHx+ffMVmD1tf8tqxY0euiZrOiIyM1KxZs1zaZkFZuXKlVVmtWrXsSqYqClWrVrW6Ltu8ebPD7XzxxRdO9W/rWsDV55Pi5Pjx4xo4cKDVKH8+Pj4aP358rnWrV6+uhg0bWpRt3brVqSnNP/vsM6syW0nIOck++t7ff/+t9evXKyEhIbOsW7duuSae25ri9++//7Yoa9euXaEcywAAAGCJpD8AAACgmDOZTPr888+tvll/4cIF9ezZU5GRkU61axiGHnvsMf35559W66ZMmZLrN9cLQtu2bS2+QS5Jf/zxh77//nu721i5cqVmzpzpcN+VK1e2KnN0hKLx48fryJEjDvddUrVt29bqm/z79u3T2LFjiygiZJd9v96wYYNDUzDv27evSJJ2st8Ml5Tj8WjAgAGqU6eORdnatWv14YcfFkhsxcU333yjc+fOWfxkv/HmKq44Po4aNcpq+q/CkH1fKqjzWmH1U1DOnj2r7t272xyBpm3btnrqqafybON6fS3mV2HtO9lHrXJmZKjc1K5d22qktc8++8wqIapOnTrq2bOnS/u2R/bRiX/44Ydct3/llVfk5eWVuRwZGakuXbro1VdftRpt6cqVK5o5c6ZatGih7du322zPMAzt27dPzz33nG666SaLBMKGDRtq3rx5xTbJyJVymtrZkS8affDBB7p06ZJF2f33329zBDRXu/XWWxUcHGxRtmvXLrtHsk1OTrZ5nVxYibA9evTQI488YlU+adIkp740ZcvmzZvVunVrp0eSy8v27du1du1al7SVnJxs8wtmt99+u0vaLwhubm5W75eXLVvmUML4kiVLtGbNGqf6tzUCoqvPJ8XFr7/+qpCQEEVERFitmzJlil0j1j755JNWZaNGjcp1tNnsNm/ebJXo7OvrazXCbm6yJ+xduHDB6vosr2l5s5+7lyxZog0bNjjUBgAAAAoGSX8AAABACdCyZUtNmDDBqnznzp3q3r27Dh065FB70dHRGjRokM0EubvuuksjR450Otb8eOONN6zKhg0bpgULFuRZd82aNbrnnnsc+hA9Q4UKFVSvXj2Lsjlz5uQ6EkxWs2bNui5HNHrzzTetyiZNmqQPPvjA4baSkpJ0/vx5V4SF/3Tq1MliOTY2Ns9RKTKEhYXprrvuUlJSksP9zp49W7/88otT032lpKRYjWbh5uaW4wh27u7uNh/TSy+95PDoO1lt2LBBDzzwgNP1C5qPj48qVapk8ZPXSGzOat68ufz8/CzKPv74Y50+fdqu+m+99ZbmzJnjcL+xsbF68cUXdfLkSYfrStLixYt14sQJi7KbbrrJ5rbPP/+89u/f71Q/thIQcuqnuAkPD9fkyZPVrFkzmwkA1apV088//ywPD48827oeX4uFuY/m14033mix/M8//ziUBG6PUaNGWSzv3LnTKhnkscceK5LktjZt2qh69eqZy998802uo9g2bNjQ6rouISFBkyZN0g033KBKlSqpcePGqlmzpsqVK6dHH30085jo5+enfv36WdQtX768mjRpog8//NDieW/atKmWLVumgIAAVzzMEmH06NFW56s//vhDn376aZ51t23bZjUqnbu7u15++WW7+x88eLBMJpPFj70j3eXU16hRo6xey7a8+uqr2rNnj0VZp06dCnxq36z+97//WY0+ZhiGXnrpJT355JOKiYlxqt2oqCg9//zz6tChg44dO+aKUG06fPiwOnfurO7du2vlypVOve+Trl5vDh48WHv37rUoN5lMGjhwoCtCLTC9e/e2WI6Pj9frr79uV93du3c7lCyWXfXq1a2OV8uWLXO6veJo69atevjhh3XXXXfZ/HLloEGDrM53ORk0aJCCgoIsyv7991+7vkwhXZ0y/r777rMaaXDYsGEOJTp3797d6tz722+/WSznlZDfoUMHeXt7Zy4vX77c6n1ijx497I4JAAAArkPSHwAAAFBCjBkzxuaH9Lt27VLTpk31xhtv6MKFC7m2kZiYqDlz5qhhw4b67rvvrNa3bNlS33//fZGNNtKnTx/179/foiw5OVl9+/bVgAEDtHbtWqsPvbds2aIRI0aoW7dumTeq2rVr53Df2ftNSUnRrbfeqtWrV+dY58qVK3r66ac1bNiwzLj8/f0d7ruk6tGjh5577jmLMsMw9Pzzz+u+++7T4cOH82wjNDRUEydOVHBwsP7444+CCvW61LdvX6tpmqZOnao33ngj12mY586dq3bt2mUmazi6T+/cuVP33Xef6tSpo9dffz3HkY+yO3HihO666y6rKRRvvvlmVapUKcd6DzzwgNWxMTU1VSNHjlTfvn21e/duu/o/ffq0Pv74Y7Vt21YdOnTQkiVL7Kp3rfPw8NA999xjUXb58mX16NEj1+f27NmzeuCBByxGNXJkX0pNTdV7772nG264QX369NGcOXPsGskmPT1ds2fP1kMPPWS1zlaZJM2cOVONGzdWz5499eWXX+rixYt2xfjbb7+pd+/eVuelnPopaomJidq0aZM++eQT3X///apevbpeeeUVq1GzpKvTG65evdqukWwyXG+vxcLcR/Orffv2FstRUVEaMGCAzemcndW7d2/Vrl07x/VeXl75SjbJD5PJZJE8evHiRX355Ze51nn22Wf1wgsv2Fx34cIF7d+/XydPnrRIcPf19dWSJUvUqFEji+1tjRQ1dOhQ/fvvv1Yjx13rypcvr7feesuq/KmnntLEiRNzvD5ZsmSJunXrZpVk8swzz6h+/foFEqstjz76qFq0aGFRFh4ernbt2mnjxo0268THx+vxxx/X+++/b1Hu7u6uTz75pMBitSUgIEBLly5V1apVrdZ99tlnuuGGG/Thhx8qPDzcrvYOHDigMWPGqGbNmvrggw9yvb50pVWrVqlHjx6qXbu23njjDbsT99PT0/XHH38oJCREc+fOtVo/aNAgtWrVytXhutTgwYNlNpstyqZNm6axY8fm+PynpaXpq6++UseOHRUZGSmTySRPT0+H+zaZTFbvs1esWKFXXnnF7mun4ubSpUtaunSp3nzzTbVt21YhISE5zjQwePBgh2YV8PPz0/Tp063KP/30U/Xr1y/Xz26WLVumjh076tSpUxblwcHBNo+hualYsWKOX6DKaDO387d0dRr1jh075rje399frVu3diguAAAAuIZ73psAAAAAKC6++uorubu7W92oTE5O1oQJE/TOO++oY8eO6tixoypXrqwKFSooOjpa586d0549e/T7778rNjbWZtvt2rXTsmXLCmy0KHtNnz5dBw4csBoJY968eZo3b17mCFdms1nnzp2zejwtWrTQm2++aTUKQvabI9k9++yzmjZtmsUUlOfPn1e3bt3UuXNn3XLLLQoODpbJZNL58+e1ceNGq+ezR48eqlq1qr799lsnH33JM2XKFO3YsUOrVq2yKP/ll1+0cOFCtWrVSj169FDNmjUVFBSkxMRERUZGau/evdqyZYvdoynCcfXq1dNDDz1ktT9OmDBBs2fP1n333aemTZvKz89PkZGROnTokJYsWWIxQouPj4+mTJni1NRzYWFhmjhxoiZOnKjKlSurRYsWatasmapUqaIyZcrI09NTsbGxCgsL04YNG7R69WqlpKRYtOHl5WV1k9yWGTNm6OjRo1Yjri1YsEALFizQTTfdpC5duqhu3boqW7as3NzcdOXKFUVERGjv3r3atm2bjhw54vSIMde6N954Qz/99JPF3+fw4cNq3ry5br31VnXv3l3VqlVTamqqzp07p9WrV2vFihUWyRlDhw7VsWPHHJ7yLy0tTYsWLdKiRYvk4eGhpk2bqnnz5mrQoIECAwMVEBCglJQUXbx4Ufv27dMff/xhc+S1Bx98MM+E8BUrVmjFihUaOXKkGjdurObNm6tRo0YqW7asypQpo7S0NEVGRurAgQNavny5Dh48aNVGp06dNGDAAIceoyvcdtttNm/gJycnKyoqSlFRUXaP7NanTx/NnDnT5jR+ebkeX4uFuY8665FHHtHrr79ukRCydOlSLV26VIGBgapYsaLFdLaSVKVKFYdGcDKZTHr88cdzTJTr16+fypUr59wDcIEnn3xSH3zwQeZxbPz48Ro4cGCuMU2dOlX16tXTyy+/bHPEp6xatmypb775Ro0bN87xOGc2m9W3b1+NGTPGKnHsevL000/rr7/+0u+//55ZZhiGXn/9dc2YMUMPPvig6tatKy8vL4WGhmrRokU2v0CQ00joBclsNmvu3LkKCQlRdHR0Zvm5c+fUvn17de/eXb169VKNGjUUFRWlAwcO6Pvvv7e5/0yePLlIRoatVauW1q1bp1tvvdVqtPjw8HA999xzev7559WiRQt17txZlStXVrly5eTv76/4+HidPXtWBw8e1Lp163T06NFCjz+r0NBQTZgwQRMmTFBQUJDatGmj5s2bq0KFCipbtqy8vb0VGxur8+fPa+/evVq5cqXVtOoZGjZsaHO63+KmSpUqeuqpp/TRRx9ZlGeMrNy3b181bNhQPj4+ioiI0J49e7R06VKL886YMWM0d+5cu0aozG7o0KFWX9SaPHmyJk+erMqVKysoKEju7pa3He+66y6HE9Xya+vWrWrWrJnNdXFxcbpy5YqioqKs3nvY4uvrqylTpticrjcv/fv3159//qmvv/7aonz+/PlaunSpevfurU6dOqlSpUpKTExUaGiolixZop07d1q15eHhoe+//96p0WFvvvlmq89Xsq6zt40VK1bYXNe1a9c8P28BAABAATEAAAAAlDifffaZUapUKUOSS35GjhxpJCYmOhzHqlWrrNpatWpVvh/fpUuXjGbNmjn8OJo0aWKcPXvWWL58udW6nTt35tnv0qVLDbPZ7NRz2KRJEyMyMtIYNGiQRXnNmjXz7Dc0NNSqvVmzZjn13HXp0sWinS5duuRZJ79/x4SEBGPgwIH53g+dfcz2yv7cSDJCQ0MLtE/DMKz6HDt2rFPtOLNvXblyxWjQoIFTfw8PDw9j6dKlDu8fTz/9tEuOS15eXsa8efPsfn4SEhKMoUOHuuy46Ovra3ffzsr+N5VknDp1qkD7zH6Ms+cYYRiGMWPGDKefy+7duxuJiYkOHZ8uX77ssr9l165djaioqBz7CggIcEk/TZo0Mc6cOePgX8Rxto5lrvhp2bKlsWzZsnzHVxSvxZo1a1rUGTRokFOxjx071qr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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 28: Organic phase mass density history at shut-down.\n" ] } ], "source": [ "'''Organic phase mass density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.mass_density_history('organic')\n", "\n", "quant.plot(title='Organic Phase Mass Density @ %2.1f C Shut-Down'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+r'$-\\rho_\\text{diluent}$'\n", " ' ['+quant.unit+']', show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Organic phase mass density history at shut-down.')" ] }, { "cell_type": "code", "execution_count": 124, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 26: Organic phase mass density history at shut-down.\n", "Time [s] Organic Phase Mass Density [g/L]\n", "0.000000 291.75\n", "17.201342 295.06\n", "34.402683 296.14\n", "51.604025 296.51\n", "137.610734 296.69\n", "223.617442 296.68\n", "309.624151 296.68\n", "348.327170 141.00\n", "387.030188 66.48\n", "425.733207 31.29\n", "464.436226 14.74\n", "Name: Organic Phase Mass Density [g/L]; Time History in [s], dtype: float64\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Organic phase mass density history at shut-down.')\n", "print('Time [s] Organic Phase Mass Density [g/L]')\n", "print(quant.value[::5].apply(lambda x: round(x,2)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Aqueous Phase Results" ] }, { "cell_type": "code", "execution_count": 125, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 29: Aqueous phase species history dashboard at shut-down.\n" ] } ], "source": [ "'''Plot aqueous phase'''\n", "# TODO: time axis normalized by phase flow residence time.\n", "stg.aqueous_phase.plot(title='Aqueous Phase Shut-Down', legend='Aqueous Phase', nrows=2,ncols=3, show=True, figsize=[12,6])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Aqueous phase species history dashboard at shut-down.')" ] }, { "cell_type": "code", "execution_count": 126, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "Overview of the Aqueous Phase Data at Shut-Down.\n", "\n", "

Period considered

\n", "\n", "- Analysis restricted to measurements at and after 309.624 s (rows with time ≥ 309.624 s); this is the period after the inflow TBP concentration is set to zero.\n", "\n", "

Key numeric changes (309.624 s -> 464.436 s)

\n", "\n", "- H₂O(a): 986.075 g/L -> 991.744 g/L; absolute change +5.669 g/L; relative change +0.575%; mean rate ≈ 0.0366 g·L⁻¹·s⁻¹.\n", "- N₂(a): 0.00905861 g/L -> 0.00906259 g/L; absolute change +3.98×10⁻⁶ g/L; relative change ≈ +0.0439%; mean rate ≈ 2.57×10⁻⁸ g·L⁻¹·s⁻¹.\n", "- O₂(a): 0.00548158 g/L -> 0.00548215 g/L; absolute change +5.7×10⁻⁷ g/L; relative change ≈ +0.0104%; mean rate ≈ 3.68×10⁻⁹ g·L⁻¹·s⁻¹.\n", "\n", "

Temporal patterns within the period

\n", "\n", "- H₂O(a) shows a clear upward trend beginning immediately after 309.624 s: a relatively faster rise between ~309.6 s and ~340.6 s, then a slower approach toward ~991.7 g/L by 464.4 s (behavior consistent with a transient response toward a new equilibrium).\n", "- N₂(a) and O₂(a) both increase only very slightly and almost linearly over this interval; their absolute and relative changes are negligible compared with the change in H₂O(a).\n", "\n", "

Comparative significance

\n", "\n", "- The H₂O(a) change dominates the aqueous-phase mass balance after shut-down: its absolute increase (~5.67 g/L) is several orders of magnitude larger than the changes in dissolved N₂(a) and O₂(a).\n", "- Changes in dissolved gases (N₂ and O₂) are sub-ppm in magnitude relative to H₂O and are unlikely to be significant for bulk mass unless the system is sensitive to trace gas concentrations.\n", "\n", "

Concise interpretation

\n", "\n", "- After the inflow TBP is set to zero, the aqueous phase exhibits a pronounced increase in H₂O(a) concentration that moves toward a new steady value over ~150 s, while dissolved N₂(a) and O₂(a) remain effectively constant (very small increases). This indicates a dominant water concentration adjustment in the post-shutdown transient." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 6456\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Overview of the Aqueous Phase Data at Shut-Down.\\n'\n", " f'+ Cover only the period after {round(stg.initial_time,2)} seconds when the concentration of TBP in the inflow is set to zero.'\n", " )\n", " cortix_ai.explain(phase=stg.aqueous_phase, issues=issues, markdown_header_level='

', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 127, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 30: Aqueous phase mass density history at shut-down.\n" ] } ], "source": [ "'''Aqueous phase mass density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.mass_density_history('aqueous')\n", "\n", "quant.plot(title='Aqueous Phase Mass Density @ %2.1f C Shut-Down'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Aqueous phase mass density history at shut-down.')" ] }, { "cell_type": "code", "execution_count": 128, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 27: Aqueous phase mass density history at shut-down.\n", "Time [s] Aqueous Phase Mass Density [g/L]\n", "0.000000 992.01\n", "17.201342 988.04\n", "34.402683 986.74\n", "51.604025 986.30\n", "137.610734 986.09\n", "223.617442 986.09\n", "309.624151 986.09\n", "348.327170 988.19\n", "387.030188 990.35\n", "425.733207 991.36\n", "464.436226 991.76\n", "Name: Aqueous Phase Mass Density [g/L]; Time History in [s], dtype: float64\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Aqueous phase mass density history at shut-down.')\n", "print('Time [s] Aqueous Phase Mass Density [g/L]')\n", "print(quant.value[::5].apply(lambda x: round(x,2)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Vapor Phase Results" ] }, { "cell_type": "code", "execution_count": 129, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 31: Vapor phase species history dashboard at shut-down.\n" ] } ], "source": [ "'''Plot vapor phase'''\n", "# TODO: time axis normalized by phase flow residence time.\n", "stg.vapor_phase.plot(title='Vapor Phase Shut-Down', legend='Vapor Phase', nrows=2,ncols=3, show=True, figsize=[12,6])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Vapor phase species history dashboard at shut-down.')" ] }, { "cell_type": "code", "execution_count": 130, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "Overview of the Vapor Phase Data at Shut-Down.\n", "\n", "

Data subset and time window

\n", "\n", "- Data shown: all rows with time ≥ 309.624 s (start at 309.624 s and end at 464.436 s).\n", "- Number of samples in this window: 21 samples spanning Δt = 464.436 − 309.624 = 154.812 s.\n", "\n", "

Column-by-column numerical summary (post 309.624 s)

\n", "\n", "- time [s]\n", " - Range: 309.624 → 464.436 s; evenly sampled points within that interval (21 entries).\n", "- concentration of H₂O(v) [g/L]\n", " - Values: essentially constant at ≈ 0.0276972 g/L (visible digits: 0.0276971–0.0276972).\n", " - Change over window: ≈ +1×10⁻⁷ g/L (negligible).\n", "- concentration of N₂(v) [g/L]\n", " - Values: increase from 0.908398 → 0.908598 g/L.\n", " - Absolute change: +0.000200 g/L.\n", " - Relative change: ≈ +0.022% of the initial value.\n", "- concentration of O₂(v) [g/L]\n", " - Values: increase from 0.257921 → 0.257934 g/L.\n", " - Absolute change: +0.000013 g/L.\n", " - Relative change: ≈ +0.005% of the initial value.\n", "\n", "

Trends and approximate rates

\n", "\n", "- H₂O(v): effectively steady — slope ≈ 6.5×10⁻¹⁰ g·L⁻¹·s⁻¹ (practically zero for the sampling resolution).\n", "- N₂(v): small positive linear trend — slope ≈ 1.29×10⁻⁶ g·L⁻¹·s⁻¹.\n", "- O₂(v): very small positive trend — slope ≈ 8.4×10⁻⁸ g·L⁻¹·s⁻¹.\n", "- All three species show either negligible change or very slow monotonic increases; no oscillations or abrupt shifts are present in this period.\n", "\n", "

Comparison and interpretation of behavior

\n", "\n", "- Magnitude: N₂ is dominant (~0.9086 g/L), O₂ is intermediate (~0.25793 g/L), H₂O is minor (~0.027697 g/L).\n", "- Stability: H₂O exhibits the greatest fractional stability (practically invariant), while N₂ shows the largest absolute and relative incremental change over the period (but still very small: ~0.02%).\n", "- Timescale: over ~155 s after TBP inflow set to zero, the vapor composition is effectively at steady state within the resolution of the recorded values; small residual rises in N₂ and O₂ are observed but are minute.\n", "\n", "

Concise conclusion

\n", "\n", "- After 309.624 s (TBP inflow = 0), the vapor-phase concentrations remain essentially steady for H₂O(v), N₂(v), and O₂(v). The only measurable changes are tiny, monotonic increases in N₂ and O₂ (order 10⁻⁴–10⁻⁵), while H₂O remains fixed to within 10⁻⁷ g/L. Overall the vapor composition is stable on the sampled timescale." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 5886\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Overview of the Vapor Phase Data at Shut-Down.\\n'\n", " f'+ Cover only the period after {round(stg.initial_time,2)} seconds when the concentration of TBP in the inflow is set to zero.'\n", " )\n", " cortix_ai.explain(phase=stg.vapor_phase, issues=issues, markdown_header_level='

', markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "code", "execution_count": 131, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 32: Vapor phase mass density history at shut-down.\n" ] } ], "source": [ "'''Vapor phase mass density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.mass_density_history('vapor')\n", "\n", "quant.plot(title='Vapor Phase Mass Density @ %2.1f C Shut-Down'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Vapor phase mass density history at shut-down.')" ] }, { "cell_type": "code", "execution_count": 132, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 28: Vapor phase mass density history at shut-down.\n", "Time [s] Vapor Phase Mass Density [g/L]\n", "0.000000 1.09\n", "17.201342 1.12\n", "34.402683 1.14\n", "51.604025 1.16\n", "137.610734 1.19\n", "223.617442 1.19\n", "309.624151 1.19\n", "348.327170 1.19\n", "387.030188 1.19\n", "425.733207 1.19\n", "464.436226 1.19\n", "Name: Vapor Phase Mass Density [g/L]; Time History in [s], dtype: float64\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Vapor phase mass density history at shut-down.')\n", "print('Time [s] Vapor Phase Mass Density [g/L]')\n", "print(quant.value[::5].apply(lambda x: round(x,2)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Relative Humidity" ] }, { "cell_type": "code", "execution_count": 133, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 33: Stage relative humidity history at shut-down.\n" ] } ], "source": [ "'''Compute relative humidity in the vapor phase'''\n", "import matplotlib.pyplot as plt\n", "from solvex import air_relative_humidity\n", "from copy import deepcopy\n", "\n", "h2o_vap_pd_series = deepcopy(stg.vapor_phase.df['H2O(v)'])\n", "for idx, rho_h2o in enumerate(h2o_vap_pd_series):\n", " h2o_vap_pd_series.iloc[idx] = air_relative_humidity(stg_temperature, rho_h2o)\n", "rh_pd_series = h2o_vap_pd_series\n", "time_unit = stg.vapor_phase.time_unit\n", "rh_pd_series.name = f'Relative Humidity History [{time_unit}]'\n", " \n", "quant = Quantity(name=rh_pd_series.name, latex_name='RH', unit='%', info=f'Relative Humidity History (Vapor Phase) [{time_unit}]')\n", "quant.value = h2o_vap_pd_series\n", "quant.plot(title='Stage Rel. Humidity @ %2.1f C Shut-Down'%unit.convert_temperature(stg_temperature, 'K','C'),\n", " x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+' ['+quant.unit+']', show=True, \n", " figsize=[10,3])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Stage relative humidity history at shut-down.')" ] }, { "cell_type": "code", "execution_count": 134, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 29: Stage relative humidity history at shut-down.\n", "Time [s] Rel. Humidity [%]\n", "17.201342 44.36\n", "34.402683 49.16\n", "51.604025 51.63\n", "137.610734 54.14\n", "223.617442 54.23\n", "309.624151 54.23\n", "348.327170 54.23\n", "387.030188 54.23\n", "425.733207 54.23\n", "464.436226 54.23\n", "Name: Relative Humidity History [s], dtype: float64\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Stage relative humidity history at shut-down.')\n", "print('Time [s] Rel. Humidity [%]')\n", "print(quant.value.loc[n_startup::5].apply(lambda x: round(x,2)))" ] }, { "cell_type": "code", "execution_count": 135, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "
Overview of the Relative Humidity Data at Shut-Down.
\n", "\n", "
Data considered
\n", "\n", "- Period analysed: all rows with time >= 309.624 s (the moment TBP inflow concentration is set to zero).\n", "- Data points (time [s] → Relative Humidity [%]):\n", " - 309.624 → 54.2303\n", " - 356.068 → 54.2304\n", " - 402.511 → 54.2304\n", " - 448.955 → 54.2304\n", "\n", "
Descriptive statistics (n = 4)
\n", "\n", "- Mean RH = 54.230375% (≈ 54.23038%).\n", "- Minimum = 54.2303%; Maximum = 54.2304%; Range = 0.0001 percentage points.\n", "- Standard deviation (population) ≈ 4.33e-5 %; sample standard deviation ≈ 5.00e-5 %.\n", "- Observed values are identical to four decimal places except the first point (54.2303).\n", "\n", "
Temporal sampling
\n", "\n", "- Sampling intervals are nearly uniform:\n", " - 309.624 → 356.068: Δt = 46.444 s\n", " - 356.068 → 402.511: Δt = 46.443 s\n", " - 402.511 → 448.955: Δt = 46.444 s\n", "- Small RH change between the first and second post-shutdown samples: ΔRH = +0.0001 over 46.444 s → ≈ 2.15e-6 %/s. Subsequent intervals show no measurable change.\n", "\n", "
Interpretation
\n", "\n", "- After TBP inflow is set to zero (t ≥ 309.624 s), the vapor-phase relative humidity is effectively constant at ≈ 54.2304% within the measurement resolution.\n", "- Any transient change immediately after shut-down is vanishingly small (0.0001 percentage points) and the signal is stable for the remainder of the recorded period (up to 448.955 s).\n", "- The data indicate that, for this time window, the system has reached a steady RH value to within ~5e-5 percentage points." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 4607\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Overview of the Relative Humidity Data at Shut-Down.\\n'\n", " f'+ Cover only the period after {round(stg.initial_time,2)} seconds when the concentration of TBP in the inflow is set to zero.'\n", " )\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='
', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Reaction Rate Density\n", "This quantity only makes sense per volume of the mixture." ] }, { "cell_type": "code", "execution_count": 136, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 34: Reaction rate density history at shut-down.\n" ] } ], "source": [ "'''Reaction rate density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.r_vec_history()\n", "quant.plot(title='Reaction Rate Density @ %2.1f C Shut-Down'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', legend=stg.rxn_mech.reactions, show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Reaction rate density history at shut-down.')" ] }, { "cell_type": "code", "execution_count": 137, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "

Overview of Reaction Rates Density at Shut-Down.

\n", "\n", "

Scope

\n", "\n", "This summary covers only the period after 309.624 s (rows at 356.068 s, 402.511 s, 448.955 s), i.e., after the TBP ([C4H9O]3PO) inflow concentration is set to zero.\n", "\n", "

Time window and net rate evolution

\n", "\n", "- Net Rxn Rates Density (sum over columns 0–5) after 309.624 s:\n", " - 309.624 s (reference before shut-down step): 1.35678 mM/s\n", " - 356.068 s: 0.07114 mM/s\n", " - 402.511 s: -0.02583 mM/s\n", " - 448.955 s: -0.00780 mM/s\n", "\n", "- The net rate density falls sharply immediately after shut-down and crosses from net production to slight net consumption between 356 s and 402 s.\n", "\n", "

Per-reaction (column) behavior

\n", "\n", "- Column 0 (reaction 0: [C4H9O]3PO(o) + H2O(a) <-> H2O*[C4H9O]3PO(o)):\n", " - 309.624 s: 0.428226 mM/s\n", " - 356.068 s: 0.104273 mM/s\n", " - 402.511 s: 0.0329107 mM/s\n", " - 448.955 s: 0.0107254 mM/s\n", " - Interpretation: remains positive but declines by ~97.5% from 309.624 s to 448.955 s.\n", "\n", "- Column 1 (reaction 1: 2 [C4H9O]3PO(o) + 2 H2O(a) <-> [H2O]2*[[C4H9O]3PO]2(o)):\n", " - 309.624 s: 0.806856 mM/s\n", " - 356.068 s: -0.0145081 mM/s\n", " - 402.511 s: -0.0558798 mM/s\n", " - 448.955 s: -0.0222075 mM/s\n", " - Interpretation: switches sign after shut-down (positive → negative), indicating the reverse direction (breakdown/dissociation) dominates after inflow stops.\n", "\n", "- Column 2 (reaction 2: 3 [C4H9O]3PO(o) + 6 H2O(a) <-> [H2O]6*[[C4H9O]3PO]3(o)):\n", " - 309.624 s: 0.116219 mM/s\n", " - 356.068 s: -0.0241012 mM/s\n", " - 402.511 s: -0.00833682 mM/s\n", " - 448.955 s: -0.00179809 mM/s\n", " - Interpretation: also flips sign after shut-down, with magnitudes much smaller than column 1 but consistent with de-aggregation of condensed-phase complexes.\n", "\n", "- Column 3 (reaction 3: H2O(a) <-> H2O(v)):\n", " - Values at and after shut-down: ~0.00135593 mM/s (identical across rows 5–8)\n", " - Interpretation: effectively unchanged by the TBP inflow cut; small, steady exchange flux.\n", "\n", "- Column 4 (reaction 4: O2(v) <-> O2(a)):\n", " - Values at and after shut-down: ~0.0014277 mM/s (constant)\n", " - Interpretation: unaffected and steady.\n", "\n", "- Column 5 (reaction 5: N2(v) <-> N2(a)):\n", " - Values at and after shut-down: ~0.00269596 mM/s (constant)\n", " - Interpretation: unaffected and steady.\n", "\n", "

Key quantitative observations

\n", "\n", "- The dominant contributors to the large pre-shutdown net production are columns 0–2 (condensed-phase TBP and water cluster formation). Their combined contribution drops from ~1.35130 mM/s at 309.624 s to ~0.06566 mM/s at 356.068 s.\n", "- After shut-down the system transiently moves to net consumption (negative total rate) at 402.511 s (net -0.02583 mM/s), then partially relaxes toward a smaller negative value by 448.955 s (-0.00780 mM/s).\n", "- Gas-exchange reactions (columns 3–5) remain essentially constant and contribute only ~0.00548 mM/s to the total at all reported times after shut-down.\n", "\n", "

Concise interpretation

\n", "\n", "- Cutting the TBP inflow causes rapid suppression of cluster-formation reaction rates (columns 0–2); two of those reactions reverse sign and drive net breakdown of condensed-phase species.\n", "- The gas–liquid exchange reactions (H2O, O2, N2) remain steady and do not compensate for the loss of condensed-phase production, so the overall system transitions from net production to small net consumption within the reported post-shutdown window." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 5122\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Overview of Reaction Rates Density at Shut-Down.\\n'\n", " f'+ Cover only the period after {round(stg.initial_time,2)} seconds when the concentration of TBP in the inflow is set to zero.'\n", ")\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='

', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Species Generation Rate Density\n", "\n", "This quantity is on the basis of mixing volume so all species generation values can be compared." ] }, { "cell_type": "code", "execution_count": 138, "metadata": {}, "outputs": [ { "data": { "image/png": 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9klSnTh299tpr2rt3r+6++27DsUWLFmny5Ml2Xb+g7rnnHp06dUqrVq3SSy+9pJYtW6pEiRJW4zw8PNSkSRPNnz9f8+bNMxz777//9Nlnn+X52tdWXL3+o2PHjnrggQc0efJkRUVF6e2335bJ9H+vqWVkZGjkyJE5BhlPnTqlXr166cKFC5a+YsWKafbs2frrr7/Ut29fm49NTZs21fTp07Vt2zY1aNDAcGzGjBn64osv8vw15sdjjz2m+Ph4LVu2TKNHj1bTpk1thpq9vLzUpk0bLVu2zGrFvzVr1ui3336z+5ozZsywfF65cuU8b/frCj179jT8Ll1fMwAAAADA+QjqASh0dmQT1KsfHuzSOgAAAAAAeRMaGqq///5bS5cuVbNmzeyaU6lSJS1atMgQ5Dt06JBla76cXAu4mc1mS1/58uW1evVqtWrVyq7rd+vWTX/88YchYJSamqonnnjCantcZxk9erQhoPT2229r9OjRhmBNToKCgmyO9fLy0qJFiyxbSP7666+qU6eOZsyYoczMTJvnWrBggWrVqqX58+dLuhoC+umnnxQaGprXL8slzp8/rwcffNBwr8qUKaPIyEj169fP7u+hdDXAsnPnTru3BM3KbDbr8ccft6yK1qNHD91///35Ope7vfPOO4YQV6NGjfTuu+/mOKdhw4Z67733DH0vvPCCXdf73//+p3379hn6PvroI73yyit2bSddsWJFLVu2zGr75cmTJ2v9+vV21VAQFStWtBkkzMmAAQP00EMPGfoWLlzoyLIkXQ0HjhkzRi+++KKhf9++fTmG0AYNGmR4XPL29tbChQs1ZMgQu36vateurZUrV6pu3bqG/qefflqHDx/O41eRd1WrVrVaaTE348eP15133mnos/eeHDlyxLAC5SOPPGIVUC8MfHx89OCDD1ra33zzjdUW0gAAAAAA5yl8fykCuKklXEhTbMJFm8fqVQx2bTEAAAAAgDwJCwvTXXfdled59evX1z333GPo++OPP3Kd99JLLykuLs7S9vT01OLFi1W1atU8Xb9hw4b66quvDH07d+50yUpDO3bsMKysdccdd1itEFgQTZo00bp16/Ttt9+qcuXKSklJ0ahRo3TnnXdq165dlnExMTG699571a9fP505c0alSpXSBx98oB07dqhTp04Oq8fRJk6caAj9eHh46Oeff1b9+vXzdT4fHx/NnTs311CaLR9++KHWrVsnSSpevLg++OCDfNVQGCxevNjQHjdunNXKlLb0799flSpVsrRXrFih6OjoHOds2LBBs2bNMvSNHDnSsEWnPYoVK6affvrJsHpienq6Hn/8cUOYtzDJugVuVFSU0671wgsvKDg42NCX3fa33333nVWI7+2331bXrl3zdM2QkBD9+uuvhtUFk5OT9dRTT+XpPK70yCOPGNr23pOvv/7aEIAuzCHdnj17Wj6/fPmyUwKiAAAAAADbCOoBKFSyW01PkupXCnZZHQAAAAAA12rZsqWhndsWrWfPnrXaQnHEiBFq1KhRvq7ftWtX9ejRw9D34YcfGrajdYY5c+YY2q+88opTVmF68MEHtW/fPk2ePFmBgYHauHGj4et97LHH9Pvvv8vb21ujRo3SwYMHNWLECLtWM3OXpKQkffLJJ4a+ayHEgspryCY2Ntawetwbb7yhihUrFrgOd9i/f79OnjxpaXt6eqpLly52zfX09FTnzp0NfYsWLcpxTtZQZIUKFfTaa6/ZWa1RYGCgVcB2z549dgV/3aFatWqG9pkzZ5x2rYCAALVt29bQd31Y93pZ70nDhg319NNP5+u6FSpUsNoC+vfff3dqKLEg8ntPvv76a8vnFSpUyPdz0TVpaWlas2aN5s2bp7ffflvTpk3T/PnztX79+mxXRLVXmzZtDKvIXl87AAAAAMC5COoBKFS2ZxPUK1vCV2WDfF1bDAAAAADAZUJCQgztc+fO5Th+zpw5Sk1NtbS9vb31yiuvFKiGiRMnGtrHjh1z6kpDqamphoBE6dKlnbp6na+vr1566SX9999/GjRokGH7SrPZrK5du2r37t167733rFbeKoxmz56tlJQUS9vHx8furVYdbejQoZZamjVrpuHDh7ulDkfIGpKtXr26/P397Z5fr149Qzvr6nzXO3r0qFWQb+zYsXnesvR6PXr0UMOGDQ1906dPz/f5nOnSpUuGtrN/77KuNmorhPbvv/9q48aNhr4JEybYtaJidkaMGKEyZcpY2maz2SUrluZHfu7JkSNHtHv3bks7ayAyL6Kjo/Xoo4+qdOnSatOmjQYNGqRx48bpueeeU//+/XXnnXcqLCxMzzzzTL6DnV5eXmrRooWlvXbtWp0/fz7fNQMAAAAA7EdQD0Chkl1Qr16lIJv9AAAAAIAbw/Vb2EpSqVKlchz/448/GtrdunVT6dKlC1TD7bffbhUyynodR/rnn3+UlJRkabds2dIlK9iZTCZDSO8aDw8Pm/2FVdaAV8+ePQv8M5AfX375pX7//XdJVwOjc+bMccqqiK5y9uxZQ7tkyZJ5mp/1d3f79u3Zjv3ll18Mq1b6+PhYbT2aHwMHDjS0ly9fXiiDSBs2bDC0C7oKW268vb0NbVsrhmZ9zAsLC7NaJTGvvLy8rLb5zW2lRXfJzz3JumJj69at83Xt6dOn69Zbb9VXX32l5OTkbMedOXNG77//vqpVq5bv7+P1Naanp2vFihX5Og8AAAAAIG+K7itGAG44ZrNZO44l2TxWv1KIzX4AAAAAwI1h7dq1hnaNGjWyHZuSkqIdO3YY+nr16uWQOrp162Zo//333w45ry2bNm0ytK8PCR44cEAvvviiGjVqpNDQUPn6+qpSpUpq1aqVXnvtNf333395vt7ly5c1ZcoU1ahRQ5999pnMZrPlmMlk0uLFi1WnTh2NHj061xUN3e3ChQvaunWroS/r1sWucPr0aT377LOW9nPPPafbb7/d5XU4UtaQYUZGRp7mX7lyxdA+f/68VRD3mnXr1hnarVu3zjWka4+sjweZmZlav359gc/rSKmpqVZbzA4YMMCp1zx+/Lihbet7nfWedO/e3SEB4qz3JD4+Pl+PY850+vRpq+3I7bknWZ+/GjdunOdrv/LKK3r22WeVlpZm6A8ODla9evV02223KTAw0HDs/PnzeuCBB/T555/n+XpZA4h//fVXns8BAAAAAMg7579FFwDsFJtwUUkXr9g8xop6AAAAuNmlZ5p1/HJa7gNRIOWL+cjLo+isKHajOHTokNasWWPoy2kFpw0bNlitBOWolajq169vaJ84cULR0dGKiIhwyPmvlzWoV7VqVV25ckUTJkzQW2+9pczMTMPxY8eO6dixY1q7dq0mTZqkwYMHa+rUqXZtE7pw4UKNHTtW0dHRkqSmTZvqpZdesoTbPvvsM3377bf6448/9O6772r+/Pl69dVX9cQTTxRoy0tnWb9+vdXPQH7CMQX11FNPKSEhQdLVLWLHjx/v8hocLesKeqdPn87TfFvjo6KiVKFCBav+rEFYR/0ely9fXmXLltXJkycN1+rYsaNDzl9QcXFxevTRRw1BtTZt2ujBBx902jXNZrNVGCvr41pqaqpVANaRj62enp6G4Offf/+dYyjblfbt26cHH3zQ8vssXQ3pNWvWLNe5W7ZssXzu6empWrVq5enaS5Ys0eTJkw19t912m6ZOnar27dtbHoPT0tL0yy+/aPTo0Tp69Kikq0HaJ598Uo0aNVLdunXtvmbWQPHmzZvzVDMAAAAAIH8I6gEoNLLb9tZkkm6vQFAPAAAAN7fjl9PUdH2Uu8u44W1sVkvhfsXcXYbDHT58ON/b2p04ccLB1Vh74YUXDKu71a5dW02aNMl2/L59+wztgIAAh4U9bAUdoqKinBLUO3jwoKHt7++v7t27W7ZRzUlGRobmzJmjjRs36tdff1W5cuVsjtu6daueffZZS0AnICBAkydP1jPPPKPY2FjLuCpVquj333/XV199pWeffVbx8fEaNmyYPvroI7377rtq3759Ab5Sx8v6MxAYGKjq1au7tIZffvlFP/zwg6U9e/Zs+fr6Ou16ly5dyvfvcdYVKHNStWpVQzsmJkbx8fEKDQ21a76twM+pU6es+i5cuKBjx44Z+ho0aGB3nblp0KCBfvvtN0s7Ksp1z6Hp6emKjIw09KWkpOjYsWNat26dFi9erNTUVMuxZs2aadGiRU7devr7779XTEyMoa9du3aG9uHDh61WRHTUPfH391eNGjUM98GV9yQlJcWwqqLZbFZKSoqio6MVGRmp3377zRD+7d69u2bPnp3reS9fvqz9+/db2pUrV1axYvb/O+LixYt64oknDH0dOnTQkiVLrM7j4+OjPn36qH379mrdurV27dol6WqAb8CAAdq2bZvd1w0NDVXJkiUtwcS8PEYAAAAAAPKPoB6AQiO7oN4tZQJV3NfbtcUAAAAAwA1k/vz5mj9/vrvLsOn77783hJ0k6Y033sgxsHL9ikeSFBYW5rCAS+nSpeXh4WFYzS7r9RwlKSnJ0H7jjTcMq1m1bt1a999/vyIiInT58mXt2bNHCxYs0IEDByxjtm/frp49e2rdunVW21Omp6ere/fulm1H7733Xn388ceqXLlytjX169dP99xzj5599ll99dVX2rVrl7p3764jR47YHdRyhaz3JDQ01Kkhp6zOnTun4cOHW9oDBgywCj052qlTp9ShQwenXkO6GtQrX768YZvU7777Tk899VSuc1NSUrR06VKb/VnZ+r3KLnCaH2XLls31es6SkpJi170KCwvT6NGjNWrUKHl7O++1rw0bNmjo0KGGvhIlSlhtF+2Ke3J9OM+V9+TgwYN23ZOIiAi9+OKLGjx4sF2PKbGxsYbni4oVK+aprq+++soQZC1fvrwWLlyYY9gvJCREixcvVu3atS2Bz+3bt2vlypW6++677b52+fLlLfcgJSVFZ8+edcjW0wAAAACA7Hm4uwAAuGZHNkG9ehWDXVoHAAAAAMA19u/fb7WS0P33328VHskqa7gjKMhxq7CbTCarrWRdFdS7FtLz9fXVwoULFRkZqWeeeUbdunVT7969NWHCBO3Zs0ejR482zNuwYYPeeOMNq/N7eXlp0qRJCg0N1YIFC/Trr7/mGNK7pnTp0po/f77++OMPRURE6H//+1+hCulJ1vckODjYpdcfPXq0JcgWGhqqadOmufT6znbfffcZ2m+++abVz6stU6ZM0fnz56367Q3qOfJ3Oeu5XBkKs0dYWJheeuklPfHEEw4P6ZnNZiUmJmrNmjUaNmyYWrVqpXPnzhnGjBs3zmqb45v9nlSrVk3jx4/XI488Ynfw99oWtNfkNdg4d+5cQ3vSpEkqUaJErvOqVKmikSNHGvrmzJmTp2tnrTXr1wIAAAAAcDyCegAKhSsZmdp93PqFXEmqHx7s2mIAAAAAAE6XkJCgbt26GUI9FStWtCtokJycbGgHBAQ4tLas58t6PUexFV6Srq6A2KtXL5vHvL29NXXqVA0ePNjQP336dF24cMFq/KBBg7Rv3z717ds3z/V17NhRu3fv1osvvpjnuc7m7J+BnKxcuVKffvqppf3uu+/ecKtQPfvss/Lw+L+XjuPi4tSrVy+bP2PXzJ8/X2+99ZbNY9dv83qNrd8rR95HV/0e59epU6f0zDPPKDw8XNOmTTNs/50XgwYNkslkMnx4eHioZMmSatOmjWbNmqW0tDTDnN69e+v555+3OtfNfk8OHTqkQYMGqXLlyvrqq6/smpM1ABkYGGj39VJSUgyrqPr7++uhhx6ye/5jjz1maK9du9buuZJ1rVm/FgAAAACA4xHUA1AoHDh9QWnpmTaPsaIeAAAAABTMhAkTZDab8/UxYMAAh9eTmpqq7t27G7ZwDQgI0KJFi+wKPGVd8S6n8FB+ZD1f1us5iq+vr1Vfp06d1Lt371znvvvuu4ZVlxITE622EJZkCezkl7+/v/z9/fM931mc/TOQnYsXLxpWgezYsaP69evnkmtXrlw537/Hq1evztO1qlevbhXkWrVqlerUqaNZs2YpJiZGaWlpSkxM1MqVK/XAAw+of//+ysjIkMlkslo5zVZ4ydbvlSPvo6t+j20JDg42fP8zMjKUkJCgrVu3aubMmbr99tstY5OTk/Xcc89pwIABhi1UncHLy0sTJ07UN998YwhiXnMj35P69esb7kl6errOnj2rf//9V1OmTFHVqlUtY+Pj4/Xoo4/q5ZdfzvW8Fy9eNLT9/Pzsrmnz5s3KyMiwtJs0aZKnoN8tt9yiSpUqWdonTpzQkSNH7J6f9bHdVY+jAAAAAHAzI6gHoFDYedz2O2iLeXmoZlnXvWgHAAAAAHCu9PR0PfDAA/r7778tfT4+Plq0aJGaNGli1zmyBs8cuQqQ2Wy2WuWpIEG3nNgKZGTdCjg7JUqUsFp5ac2aNQ6pqyhw5s9ATl566SVFR0dLuhpy+fjjj11yXXd49dVX1a1bN0PfkSNHNGzYMEVERKhYsWIqWbKk2rdvbwiJTpo0SdWrVzfMs7U1sa3fK0fex6znctbvsT08PDwUEhKiBg0a6Omnn9aOHTs0depUw/aq8+fPd8oWyt7e3mrYsKHGjx+vw4cPa8KECfLy8rI59ma6J56enipZsqSaNWum559/XlFRUfrf//5nGPP6669r4cKFeTpvXlZGzBqqq1u3bp6uJUn16tUztGNjY+2em99VHAEAAAAA+Wf7L3IAcLHd2QT1bq8QJG9PMsUAAABA+WI+2tislrvLuOGVL+bj7hJuaNdW6Fu6dKmlz9PTUwsWLFDHjh3tPk/WcMfp06dlNpsNoZf8OnPmjNWqVs4M6p0+fdrQ17p1a7vnt27d2rBV8ObNmx1WW2GX9Z7Ex8c7/ZobNmzQzJkzLe0JEyYYVuG60Xh6euqnn37SmDFjNHPmTMPKX7Z4e3tr0qRJeuGFF7RgwQLDMXuDeidPnixQzTmdy52hsKxMJpNGjx6t9PR0w8qFkyZN0uOPP66QkBC7zzVmzBirx08PDw8FBgYqKChIlStXtrl6py3Z3ZPrV20riMJ8T3x8fDRt2jRdvHhRs2bNsvSPHj1aPXv2lKenp815WVelu3Tpkt3XTExMNLRLly6dh4ptz8l6zpxk3ZLalVuIAwAAAMDNiqAegEIhu6BevUrBri0EAAAAKKS8PEwK9yvm7jKAAhk+fLi+/vprS9tkMmnOnDl2bfV6vZo1axraKSkpOnDggGrUqFHgGnfu3GnVV6uWc0KyYWFhOnz4sKUdEhKSp6BG1u9D1tBfbqpUqVJkV1S69dZbDe3k5GQdPHjQaiU3Rxo3bpwlxFmvXj2r1bduRJ6ennr33Xc1ZMgQTZ06Vb/99puOHz9uGBMQEKBevXrp2WefVf369SVJZ8+eNYyxdV8CAgJUoUIFxcXFWfq2bdumPn36OKT2bdu2GdrO+j0uiNGjR2vOnDmWx4ELFy5o4cKFdq+sKUm1a9dW+/btHVJP1apV5e3trStXrlj6tm3bZvdqpzm5ePGi/vvvP0NfYbwnb775phYsWGBZWTU2NlarVq1Shw4dbI7PGkLNuiJrTlJSUgzt/ATlss4pyPWzblkNAAAAAHA8lqkC4Hap6VL02VSbxwjqAQAAAMCNYezYsYZViiTp3Xff1WOPPZbnczVr1sxqdSNHrSa3fft2Q7tcuXKKiIhwyLmzyhpSKVGiRJ7mZx2fl5WUirpmzZpZbd/p7BUFk5KSLJ/v2LFD3t7eMplMOX7Y+tnJOubnn392at2OcOutt2ru3LmKi4vT0aNHtWXLFq1du1YHDx5UQkKCvvjiC0tILz4+XmfOnLHMDQgIyDaQ1aJFC0PbUffw+PHjVqu3NW/e3CHndiQvLy91797d0PfPP/+4qRrJz89PDRs2NPQ58rE166qMhfGeBAUF6e677zb05XRPsq42eOLECbuvlXX78wsXLtg9N7s5xYsXt3tu1tBteHh4nq8PAAAAAMgbgnoA3C72gknZvX+/AUE9AAAAACjyXnvtNb3zzjuGvkmTJmnUqFH5Ol9gYKDq1atn6Pvxxx/zW57BkiVLDG1nBklq165taF++fDlP87NusZh1C8YbWUBAgFWgaPHixW6q5uZSsWJFNWzYUC1atFC1atXk42PcMnzXrl2Gdv369bPdNjTr79eaNWusVuPLj6yPBx4eHmrWrFmBz+sM1apVM7Qduf1vfmS9J4sXL1Z6enqBz5v1noSGhjpkFVRnyMs9qVSpkjw8/u+/WY4dO2b3dbJucZyfn/3rQ7G2zpmT64N6xYsXL1RbEQMAAADAjYqgHgC3i02x3V8ywEcVQ/xcWwwAAAAAwKGmT5+u8ePHG/pGjx5t1ZdXvXr1MrSXLFliFVjIq927d2vHjh2Gvvvvv79A58xJ1qBZQkJCngIxWbe6LVWqlEPqKip69uxpaC9atMghIS8UzLJlywzte++9N9uxPXr0MIT40tLStGDBggLXMG/ePEO7ffv2eV6x0l28vb3dev2sj62nTp3Sr7/+WqBzpqenW93XrL+/hVlO96RYsWKGbchjY2OtQtTZqVy5sqGd9fnHHlnnZD1ndk6fPm1YhbVu3bp5vjYAAAAAIO+8ch8CAM51JNlks79+pWCZTLaPAQAAAAAKv7lz5+p///ufoW/IkCGaOnVqgc89ZMgQvfbaa5ZAxJUrVzR58mRNnz493+ecOHGioV2hQgX16dOnAFXmrGXLlgoJCbGEJdLS0rRr1y41aNDArvlbtmwxtK8Pi9wMhg4dqtdff10pKVffAXj58mW99dZbevvtt51yvdmzZys5OTlPc06dOqV+/foZ+pYvX25oZ10dsijLyMjQDz/8YGl7enpq0KBB2Y4PDw9Xz549tXDhQkvfO++8o8cee8xqW1B7LV68WFu3bjX05Xf1Tlc4cuSIoR0WFuamSq6666671KRJE23atMnSN2nSJHXp0iXblRFz89FHH+nUqVOGvpEjRxaoTmfK6z1p1KiRoqKiJF39Hdi7d69VENuWxo0by9PT07Il8KZNm5SSkmL3z/7Bgwd19OhRS7tcuXJ2b1+bdeXLxo0b2zUPAAAAAFAwrKgHwK3MZulIiu0wXr2Kwa4tBgAAAADgMN9++62GDh0qs9ls6XvkkUf08ccfO+T8pUuXVv/+/Q19H3zwgVV4zV5Lly7Vzz//bOgbMWKEvLyc9z5XLy8vde3a1dCXly18rw9ESVKbNm0cUVaRERISosGDBxv63n33XW3YsKHA57a1gtgdd9yh9u3b5+nD1tbJWceEhoYWuN7CYs6cOYbgUOfOnVW+fPkc52QN8x47dkyvvPJKvq6fkpKiZ555xtBXq1Yt3XPPPfk6n7OZzWYtXbrU0FcYVjZ79tlnDe2tW7fqgw8+yNe54uLirO7nPffcY7X1d2Fx6dIlrVixwtCX2z1p2bKloW3v81BgYKAaNWpkaV+8eFHff/+9nZVKn332maHdunVru+dmrbFVq1Z2zwUAAAAA5B9BPQBulZQmnb+STVCvUpCLqwEAAAAAOMLSpUvVv39/ZWZmWvruu+8+zZs3Tx4ejns56o033lC5cuUs7YyMDPXo0UPR0dF5Os+2bdusVj277bbbXLIK15AhQwztWbNm2bWF72+//abNmzdb2p6enlZbVt4MJk6cqCpVqljaGRkZuu+++6xWi7LXlStX9Nxzz2nEiBEOqvDmcejQIUMgy9vbW2+++Wau8+6880498cQThr7p06drzpw5ebr+5cuX1bNnT8NqaJ6envrkk08K7Y4Nn3/+ufbt22fo6969u5uq+T8PPfSQOnXqZOgbM2aM1bbGuUlMTFTnzp11/vx5S19gYKDef/99h9TpDG+88YaSkpIsbX9/f7Vv3z7HOVm/V3/99Zfd13v88ccN7fHjx1tWCc3JkSNHNGPGDENf1t+jnKxZs8byuZeXl+6++2675wIAAAAA8o+gHgC3ym41Penq1rcAAAAAgKIlMjJSffr00ZUrVyx9HTt21Hf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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 35: Species generation rate density history at shut-down.\n" ] } ], "source": [ "'''Species generation rate density'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.g_vec_history()\n", "quant.plot(title='Species Generation Rate Density @ %2.1f C Shut-Down'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', legend=stg.rxn_mech.species_names, show=True, figsize=[10,3], error_data=False)\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Species generation rate density history at shut-down.')" ] }, { "cell_type": "code", "execution_count": 139, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Table 30: Species generation rate density history at shut-down.\n", "Time [min] g [mM/s]\n", " a0 a1 a2 a3 a4 a5 a6 a7 a8 a9\n", "t [min] \n", "1.15 -2.8201 0.0014 0.4504 0.0027 -0.0027 0.0014 -0.0014 -2.4670 0.8324 0.1172\n", "1.43 -2.7667 0.0014 0.4385 0.0027 -0.0027 0.0014 -0.0014 -2.4178 0.8159 0.1158\n", "1.72 -2.7488 0.0014 0.4331 0.0027 -0.0027 0.0014 -0.0014 -2.4003 0.8100 0.1157\n", "2.01 -2.7429 0.0014 0.4306 0.0027 -0.0027 0.0014 -0.0014 -2.3940 0.8080 0.1158\n", "2.29 -2.7411 0.0014 0.4294 0.0027 -0.0027 0.0014 -0.0014 -2.3918 0.8072 0.1160\n", "2.58 -2.7406 0.0014 0.4288 0.0027 -0.0027 0.0014 -0.0014 -2.3910 0.8070 0.1161\n", "2.87 -2.7405 0.0014 0.4285 0.0027 -0.0027 0.0014 -0.0014 -2.3907 0.8069 0.1161\n", "3.15 -2.7405 0.0014 0.4284 0.0027 -0.0027 0.0014 -0.0014 -2.3906 0.8069 0.1162\n", "3.44 -2.7406 0.0014 0.4283 0.0027 -0.0027 0.0014 -0.0014 -2.3906 0.8069 0.1162\n", "3.73 -2.7406 0.0014 0.4283 0.0027 -0.0027 0.0014 -0.0014 -2.3906 0.8069 0.1162\n", "... ... ... ... ... ... ... ... ... ... ...\n", "6.58 0.1444 0.0014 0.0396 0.0027 -0.0027 0.0014 -0.0014 0.1143 -0.0612 -0.0105\n", "6.71 0.1275 0.0014 0.0329 0.0027 -0.0027 0.0014 -0.0014 0.1039 -0.0559 -0.0083\n", "6.84 0.1101 0.0014 0.0274 0.0027 -0.0027 0.0014 -0.0014 0.0918 -0.0497 -0.0066\n", "6.97 0.0934 0.0014 0.0228 0.0027 -0.0027 0.0014 -0.0014 0.0794 -0.0434 -0.0051\n", "7.10 0.0782 0.0014 0.0189 0.0027 -0.0027 0.0014 -0.0014 0.0677 -0.0373 -0.0040\n", "7.22 0.0648 0.0014 0.0157 0.0027 -0.0027 0.0014 -0.0014 0.0569 -0.0317 -0.0031\n", "7.35 0.0531 0.0014 0.0130 0.0027 -0.0027 0.0014 -0.0014 0.0474 -0.0267 -0.0024\n", "7.48 0.0431 0.0014 0.0107 0.0027 -0.0027 0.0014 -0.0014 0.0391 -0.0222 -0.0018\n", "7.61 0.0347 0.0014 0.0088 0.0027 -0.0027 0.0014 -0.0014 0.0320 -0.0184 -0.0014\n", "7.74 0.0278 0.0014 0.0073 0.0027 -0.0027 0.0014 -0.0014 0.0260 -0.0151 -0.0010\n" ] } ], "source": [ "tbl_count += 1\n", "print(f'Table {tbl_count}: Species generation rate density history at shut-down.')\n", "print('Time [min] g [mM/s]')\n", "import pandas as pd\n", "col_names = [f'a{i}' for i in range(len(stg.rxn_mech.species_names))]\n", "time_name = 't [min]'\n", "df = (quant.value.apply(pd.Series).mul(1)\n", " .rename(index=lambda i: round(i/unit.min,2))\n", " .set_axis(col_names, axis=1).rename_axis(time_name)\n", " .round(4))\n", "print(df.iloc[n_startup:].to_string(max_rows=20, min_rows=20))" ] }, { "cell_type": "code", "execution_count": 140, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "Overview of Species Generation Rates Density at Shut-Down.\n", "\n", "

Context

\n", "\n", "Data shown are generation rates (unit: mM/s) for the period after 309.62 s (rows at times 356.068 s, 402.511 s and 448.955 s) when TBP in the inflow is set to zero. The column ordering maps to the species list: H₂O(a), H₂O(v), H₂O·[C₄H₉O]₃PO(o), N₂(a), N₂(v), O₂(a), O₂(v), [C₄H₉O]₃PO(o), [H₂O]₂·[[C₄H₉O]₃PO]₂(o), [H₂O]₆·[[C₄H₉O]₃PO]₃(o).\n", "\n", "

Key observations

\n", "\n", "- Small, constant fluxes appear for H₂O(v) (0.00135593 mM/s), N₂(a) (0.00269596 mM/s), N₂(v) (−0.00269596 mM/s), O₂(a) (0.0014277 mM/s) and O₂(v) (−0.0014277 mM/s) throughout this period.\n", "- Larger, time-varying rates are present for H₂O(a), H₂O·[C₄H₉O]₃PO(o), [C₄H₉O]₃PO(o) and the two hydrated TBP complexes; those change non-monotonically across the three times.\n", "- Positive values indicate net generation; negative values indicate net consumption.\n", "\n", "

Per-species time history (after 309.62 s)

\n", "\n", "- H₂O(a): 0.0679941 -> 0.127514 -> 0.0431223 (mM/s); net generation with a transient peak at 402.511 s then a drop by 448.955 s.\n", "- H₂O(v): 0.00135593 -> 0.00135593 -> 0.00135593 (mM/s); constant small generation (steady vapor source).\n", "- H₂O·[C₄H₉O]₃PO(o): 0.104273 -> 0.0329107 -> 0.0107254 (mM/s); positive but decreasing generation, approaching smaller production over time.\n", "- N₂(a): 0.00269596 -> 0.00269596 -> 0.00269596 (mM/s); constant small production in the (a) state.\n", "- N₂(v): −0.00269596 -> −0.00269596 -> −0.00269596 (mM/s); constant consumption in the (v) state, equal and opposite to N₂(a).\n", "- O₂(a): 0.0014277 -> 0.0014277 -> 0.0014277 (mM/s); constant small production in the (a) state.\n", "- O₂(v): −0.0014277 -> −0.0014277 -> −0.0014277 (mM/s); constant consumption in the (v) state, equal and opposite to O₂(a).\n", "- [C₄H₉O]₃PO(o): −0.00295346 -> 0.103859 -> 0.0390839 (mM/s); switches from slight consumption to substantial transient generation at 402.511 s, then reduced positive generation by 448.955 s.\n", "- [H₂O]₂·[[C₄H₉O]₃PO]₂(o): −0.0145081 -> −0.0558798 -> −0.0222075 (mM/s); net consumption throughout, with a stronger consumption at 402.511 s then partial recovery (less negative) by 448.955 s.\n", "- [H₂O]₆·[[C₄H₉O]₃PO]₃(o): −0.0241012 -> −0.00833682 -> −0.00179809 (mM/s); net consumption that becomes progressively smaller (moving toward zero) over the three times.\n", "\n", "

Notes on balances and interpretation

\n", "\n", "- The exact-equal, opposite signs for N₂(a)/N₂(v) and O₂(a)/O₂(v) indicate steady transfer between those two states at constant small rates during the post-shutdown interval.\n", "- Complexes of TBP with H₂O show net consumption (negative rates) throughout this period, with the smaller complex ([H₂O]₂·…) showing a transiently larger consumption at 402.511 s and the larger complex ([H₂O]₆·…) decreasing its consumption toward zero by 448.955 s.\n", "- Several species (H₂O(a), H₂O·[C₄H₉O]₃PO(o), [C₄H₉O]₃PO(o)) show transient positive generation around 402.511 s, suggesting a short-lived redistribution/generation event after the inflow TBP is set to zero." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 6565\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Overview of Species Generation Rates Density at Shut-Down.\\n'\n", " f'+ Cover only the period after {round(stg.initial_time,2)} seconds when the concentration of TBP in the inflow is set to zero.'\n", " )\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='

', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Mass Balance Residual\n", "\n", "This is actually the total mass generation rate density (mixing volume) residual; a small number in view of total mass conservation." ] }, { "cell_type": "code", "execution_count": 141, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Figure 36: Total mass generation rate density residual history at steady-state.\n" ] } ], "source": [ "'''Mass balance residuals'''\n", "import matplotlib.pyplot as plt\n", "\n", "quant = stg.mass_balance_residual_history()\n", "quant.plot(title='Total Mass Generation Rate Density @ %2.1f C Steady-State'%unit.convert_temperature(stg_temperature,\n", " 'K','C'), x_scaling=1/stg.flow_residence_time_avg, x_label=r'Time [$\\bar{\\tau}$]', y_label=quant.latex_name+\n", " ' ['+quant.unit+']', markers_only=True, legend=['Residual'], show=True, figsize=[10,3])\n", "\n", "fig_count += 1\n", "print(f'Figure {fig_count}: Total mass generation rate density residual history at steady-state.')" ] }, { "cell_type": "code", "execution_count": 142, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cortix AI assistant: working on explanation...\n", "\n" ] }, { "data": { "text/markdown": [ "Total Mass Generation Rate Density Residual at Shut-Down.\n", "\n", "

Data selection

\n", "\n", "- Steady-state interval used: times ≥ 206.416 s (rows 4–8), i.e., t = 206.416, 309.624, 356.068, 402.511, 448.955 s.\n", "- Analyzed columns: time [s] and Total Mass Generation Rate Density [g/L-s] (residuals in the mixing volume).\n", "\n", "

Quantitative summary (steady-state only)

\n", "\n", "- Sample count: 5.\n", "- Mean residual (bias): −3.88e−18 g/L-s.\n", "- Standard deviation: 1.57e−17 g/L-s.\n", "- Root-mean-square (RMS): 1.62e−17 g/L-s.\n", "- Median residual: −2.03e−19 g/L-s.\n", "- Maximum absolute residual: 2.84061e−17 g/L-s at t = 309.624 s.\n", "- Range (max − min): 4.7278e−17 g/L-s.\n", "\n", "

Interpretation

\n", "\n", "- Residuals in the chosen steady-state window oscillate about zero with magnitude on the order of 10⁻¹⁷ g/L-s.\n", "- The small mean bias (≈ −3.9e−18 g/L-s) and the RMS/std values indicate that the mass-generation residuals are effectively negligible compared to typical macroscopic rates (they are at numerical-noise scale)." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ Total # of tokens = 5199\n" ] } ], "source": [ "if cortix_ai:\n", " issues = ('+ Title your reponse as: Total Mass Generation Rate Density Residual at Shut-Down.\\n'\n", " '+ Do not explain the start-up process; cover the steady-state only.'\n", " )\n", " cortix_ai.explain(quant=quant, issues=issues, markdown_header_level='

', markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## AI Reports\n", "\n", "The Stage AI Report agent builds a *Knowledge Base* from the simulation up to this point, and uses it as a retrieval augmented\n", "generation (RAG) AI to analyze the results and provide a report." ] }, { "cell_type": "code", "execution_count": 143, "metadata": {}, "outputs": [], "source": [ "'''Create and Configure a StageAI Object for a particular stg'''\n", "if stage_ai:\n", " from stage_ai import StageAI\n", " stage_ai = StageAI(stg, llm_model='gpt-5-mini', llm_cleverness=0.8)\n", " stage_ai.n_chunks = 8\n", " stage_ai.markdown_header_level = '

'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Aqueous Phase\n", "\n", "Request a report from the LLM." ] }, { "cell_type": "code", "execution_count": 144, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Stage AI assistant: working on report...\n", "\n" ] }, { "data": { "text/markdown": [ "

Aqueous Phase Analysis

\n", "\n", "

Introduction

\n", "\n", "The following report analyzes the aqueous phase in the provided Stage Knowledge Base (source: stg.aqueous_phase). The system is a three-phase (aqueous–organic–vapor) mixing system. The analysis emphasizes time-dependent aqueous-phase concentrations, species characteristics, the reaction mechanism that involves the aqueous phase, and the role of stage performance (\"stage\" module) up to 309.62 s when assessing approach to chemical equilibrium. Mass-balance residuals provided in the knowledge base are summarized and used to check numerical conservation.\n", "\n", "

Data provenance

\n", "\n", "- The data source is the Stage Knowledge Base entry with source key \"stg.aqueous_phase\"; header indicates a prototype for TBP (tributyl phosphate) extraction and an author timestamp vfda solvex-ustc Thu Feb 13 11:25:00 AM EST 2025.\n", "\n", "

Species characteristics (aqueous-phase species)

\n", "\n", "Table: Commercial chemical names and basic properties for aqueous-phase species (molar mass units as provided: kg/mol).\n", "\n", "| Commercial name | Chemical formula | Phase | Molar mass (kg/mol) | Number of atoms |\n", "|---|---:|---:|---:|---:|\n", "| Water | H₂O(a) | (a) aqueous phase | 0.018015 kg/mol | 3.0000 |\n", "| Nitrogen | N₂(a) | (a) aqueous phase | 0.028013 kg/mol | 2.0000 |\n", "| Oxygen | O₂(a) | (a) aqueous phase | 0.031999 kg/mol | 2.0000 |\n", "\n", "

Time-dependent aqueous-phase concentrations

\n", "\n", "Table: Time history of mass concentrations in the aqueous phase; time in seconds (s); concentrations in grams per liter (g/L).\n", "\n", "| Time (s) | H₂O(a) [g/L] | N₂(a) [g/L] | O₂(a) [g/L] |\n", "|---:|---:|---:|---:|\n", "| 0 | 992.00 | 0.0081544 | 0.0053437 |\n", "| 20.640 | 987.64 | 0.0082590 | 0.0053606 |\n", "| 41.280 | 986.49 | 0.0084418 | 0.0053894 |\n", "| 103.21 | 986.08 | 0.0088442 | 0.0054504 |\n", "| 206.42 | 986.08 | 0.0090319 | 0.0054778 |\n", "| 309.62 | 986.08 | 0.0090586 | 0.0054816 |\n", "| 356.07 | 988.71 | 0.0090611 | 0.0054819 |\n", "| 402.51 | 990.85 | 0.0090621 | 0.0054821 |\n", "| 448.96 | 991.63 | 0.0090625 | 0.0054821 |\n", "\n", "Notes: All time points and concentrations are taken directly from the Stage Knowledge Base and rounded to five significant digits.\n", "\n", "

Stage performance (efficiency) up to 309.62 s

\n", "\n", "Table: Stage overall efficiency (mean ± std) in percent [%]; time in seconds (s). Only entries with time ≤ 309.62 s are shown because the instructions request consideration of stage efficiency up to 309.62 s.\n", "\n", "| Time (s) | Stage efficiency mean [%] | Stage efficiency std [%] |\n", "|---:|---:|---:|\n", "| 0 | 22.500 | 23.050 |\n", "| 20.640 | 39.590 | 8.5900 |\n", "| 41.280 | 46.870 | 3.0500 |\n", "| 103.21 | 50.460 | 1.5600 |\n", "| 206.42 | 50.690 | 1.5800 |\n", "| 309.62 | 50.700 | 1.5800 |\n", "\n", "Comment: The stage efficiency at 309.62 s is ≈ 50.700% ± 1.5800% (mean ± std). Because stage efficiency is substantially less than ~100%, the system should not be treated as at thermodynamic (chemical) equilibrium; observed concentrations are therefore kinetically limited.\n", "\n", "

Mass-balance residuals (numerical mass conservation)

\n", "\n", "- The Stage Knowledge Base provides a stage mass-balance residual time history labeled \"Total Mass Generation Rate Density [g/L-s]\"; values are effectively -0.0 or 0.0 at all recorded times. This indicates numerical mass conservation within machine precision; therefore, no gross mass non-conservation artifacts are evident in the provided residuals.\n", "\n", "

Reaction mechanism involving the aqueous phase

\n", "\n", "Table: Reactions in the mechanism that involve the aqueous phase and the available information content from the Stage Knowledge Base.\n", "\n", "| Reaction (mechanism entry) | Description (KB) |\n", "|---|---|\n", "| [C4H9O]3PO(o) + H2O(a) <-> H2O*[C4H9O]3PO(o) | complexation of one H2O molecule |\n", "| 2 [C4H9O]3PO(o) + 2 H2O(a) <-> [H2O]2*[[C4H9O]3PO]2(o) | complexation of two H2O molecules |\n", "| 3 [C4H9O]3PO(o) + 6 H2O(a) <-> [H2O]6*[[C4H9O]3PO]3(o) | complexation of six H2O molecules |\n", "| H2O(a) <-> H2O(v) | H2O vaporization in air |\n", "| O2(v) <-> O2(a) | O2 aeration of aqueous phase |\n", "| N2(v) <-> N2(a) | N2 aeration of aqueous phase |\n", "\n", "Notes: Reactions and descriptions are verbatim from the Stage Knowledge Base. Reactions marked with (a), (o), (v) indicate aqueous, organic, and vapor phases, respectively. The organic species [C4H9O]3PO is the commercial reagent tributyl phosphate (TBP); its use is indicated in the KB header.\n", "\n", "

Itemized reaction list and additional mechanism commentary

\n", "\n", "- Reaction: [C4H9O]3PO(o) + H2O(a) <-> H2O*[C4H9O]3PO(o)\n", "\n", " - KB information content: Reaction string and description \"complexation of one H2O molecule\" are provided.\n", "\n", " - Additional commentary: This is the 1:1 complexation (extraction) of one aqueous water molecule into the organic phase via formation of a TBP·H₂O adduct (notation in KB uses H2O* prefix). Phase involved: aqueous phase (H₂O(a)) and organic phase (TBP (o)). This reaction is reversible and represents an interphase extraction equilibrium limited by kinetics and organic-aqueous interfacial mass transfer.\n", "\n", "- Reaction: 2 [C4H9O]3PO(o) + 2 H2O(a) <-> [H2O]2*[[C4H9O]3PO]2(o)\n", "\n", " - KB information content: Reaction string and description \"complexation of two H2O molecules\" are provided.\n", "\n", " - Additional commentary: This is the 2:2 complexation of water with TBP in the organic phase. It describes stoichiometric clustering in the organic phase; again reversible and mass-transfer-limited by interphase transport and organic-phase complex formation kinetics.\n", "\n", "- Reaction: 3 [C4H9O]3PO(o) + 6 H2O(a) <-> [H2O]6*[[C4H9O]3PO]3(o)\n", "\n", " - KB information content: Reaction string and description \"complexation of six H2O molecules\" are provided.\n", "\n", " - Additional commentary: This higher-order complexation implies multi-molecule aggregation of water and TBP in the organic phase. Such oligomeric extraction species can significantly alter water partitioning and reduce free aqueous water activity locally; they are reversible and will slow equilibration of water between phases because of complex formation and dissociation kinetics.\n", "\n", "- Reaction: H2O(a) <-> H2O(v)\n", "\n", " - KB information content: Reaction string and description \"H2O vaporization in air\" are provided.\n", "\n", " - Additional commentary: This is the volatility (evaporation/aerosol) exchange of water between aqueous and vapor phases. It couples the aqueous-phase water concentration to vapor-phase humidity and is controlled by vapor-liquid mass transfer coefficients and the vapor-phase partial pressure of H₂O.\n", "\n", "- Reaction: O2(v) <-> O2(a)\n", "\n", " - KB information content: Reaction string and description \"O2 aeration of aqueous phase\" are provided.\n", "\n", " - Additional commentary: This mass-transfer step represents dissolution of oxygen from the vapor/gas phase into the aqueous phase (and the reverse). Aeration kinetics (mass transfer coefficient kL a, interfacial area, and gas-phase partial pressure of O₂) govern the rate. No O₂ consumption reactions are specified in the KB; therefore, observed aqueous O₂ concentrations arise from the balance of gas–liquid transfer and initial conditions.\n", "\n", "- Reaction: N2(v) <-> N2(a)\n", "\n", " - KB information content: Reaction string and description \"N2 aeration of aqueous phase\" are provided.\n", "\n", " - Additional commentary: Analogous to O₂ aeration, this is the gas–liquid exchange for nitrogen. Kinetics and gas-phase partial pressure of N₂ control the dissolved N₂ concentration.\n", "\n", "Double-check for missing aqueous-phase reactions: The KB lists the interphase complexation for water with TBP, vaporization of H₂O, and aeration of O₂ and N₂. There are no additional aqueous-phase chemical reactions (e.g., redox or microbial consumption) present in the KB; therefore, no further aqueous-phase reactions are missing from the provided mechanism.\n", "\n", "

Why simulated steady-state O₂(a) is lower than N₂(a) despite higher O₂ solubility

\n", "\n", "- Observed data (at t = 309.62 s): N₂(a) = 0.0090586 g/L and O₂(a) = 0.0054816 g/L (mass concentrations). Converting to molar concentrations using the KB molar masses yields approximately:\n", "\n", " - N₂(a): 0.0090586 g/L ÷ 28.013486 g/mol = 0.00032356 mol/L (3.2356e-4 mol·L⁻1)\n", "\n", " - O₂(a): 0.0054816 g/L ÷ 31.998810 g/mol = 0.00017130 mol/L (1.7130e-4 mol·L⁻1)\n", "\n", "- Explanatory points (all consistent with the Stage Knowledge Base):\n", "\n", " - Initial and boundary conditions: The KB time-zero concentrations show N₂(a) > O₂(a) already at t = 0; an initially larger dissolved N₂ reservoir will persist unless strong driving forces change it. Initial conditions in the KB therefore bias the steady-state toward higher dissolved N₂.\n", "\n", " - Gas-phase partial pressures and Henry’s-law product (C = H·p): Solubility alone (Henry’s constant H) is not the sole determinant of dissolved concentration: the product of H and the gas-phase partial pressure p_gas sets the equilibrium concentration. If the gas-phase composition (air) supplies a substantially higher partial pressure of N₂ than O₂ (air is ~78% N₂ vs ~21% O₂) then p_N₂ may be sufficiently larger that p_N₂·H_N₂ ≥ p_O₂·H_O₂, producing higher dissolved N₂ despite the higher intrinsic solubility of O₂.\n", "\n", " - Kinetic (mass-transfer) limitations: The stage efficiency at 309.62 s is ≈ 50.7% (see stage table). Because the stage is far from 100% efficient, interphase transfer is kinetically limited; the system is not at thermodynamic equilibrium. Different mass-transfer coefficients and diffusivities for O₂ and N₂, gas–liquid transfer resistances, and interfacial area will set different approach rates for each gas. If N₂ transfer kinetics (or gas-phase supply) are favorable relative to O₂ under the simulated conditions, dissolved N₂ can exceed dissolved O₂.\n", "\n", " - Unit/measurement effects (mass vs mol basis): If one only compares mass concentrations (g/L), heavier species will appear proportionally different for equal molar concentrations. However, in this case the molar concentrations also show N₂ > O₂, so unit bias is not the primary reason here.\n", "\n", " - Absence of O₂ consumption reactions in KB: The KB does not list O₂-consuming reactions within the aqueous phase; therefore, the lower O₂ is not explained by chemical consumption in the provided mechanism. The principal causes are therefore initial conditions, gas-phase partial pressures, and kinetic/mass-transfer limitations.\n", "\n", "- Conclusion of this diagnostic: Given the KB information (initial concentrations, aeration reactions, and stage efficiencies), the most plausible explanation is that the combination of initial conditions and gas-phase supply (air composition and partial pressures) plus kinetic limitations (stage efficiency ~50.7% at 309.62 s) yields higher dissolved N₂ than O₂ even though O₂ has a higher intrinsic solubility (Henry constant) in pure water.\n", "\n", "

Assessment of thermodynamic equilibrium

\n", "\n", "- Because stage efficiency is ≪ 100% (≈ 50.7% at 309.62 s), the aqueous phase is not at chemical equilibrium with the vapor phase by the time index requested. Observed concentrations represent kinetically-limited steady or quasi-steady states rather than thermodynamic equilibrium.\n", "\n", "- If claiming equilibrium were necessary, evidence would require stage efficiencies near 100% across the relevant time history and/or explicit calculation showing equality of C_i and H_i·p_i for each gas species; neither is supported by the KB at the examined times.\n", "\n", "

Recommendations (succinct)

\n", "\n", "- To approach thermodynamic equilibrium (if desired), increase stage performance or residence time so that stage efficiency approaches ~100% (monitor the \"stage\" efficiency metric in the process model).\n", "\n", "- Measure or specify gas-phase partial pressures (or gas composition) and gas–liquid mass-transfer coefficients (kL a) for O₂ and N₂ to quantify whether p_gas·H explains the observed dissolved concentrations.\n", "\n", "- If controlling dissolved O₂ is important, consider increasing O₂ partial pressure in the gas phase (enriched air), increasing interfacial area/aeration intensity, or modifying mass-transfer conditions.\n", "\n", "

Conclusion

\n", "\n", "- The system described in the Stage Knowledge Base is a heterogeneous three-phase mixture (aqueous–organic–vapor) and the aqueous phase is not at chemical equilibrium at the evaluated times because the measured stage efficiency at 309.62 s is substantially less than 100%.\n", "\n", "- The aqueous-phase time-series shows H₂O mass concentrations near 986–992 g/L and dissolved gas mass concentrations of the order 10⁻³–10⁻² g/L (N₂ larger than O₂). The combination of initial conditions, gas-phase partial pressures (air composition), and kinetic/mass-transfer limitations (stage efficiency) explains why dissolved O₂(a) is lower than dissolved N₂(a) in the simulated steady state even though O₂ has a higher intrinsic solubility.\n", "\n", "- Stage module information is required for further mechanistic or process design conclusions; therefore the word \"stage\" was explicitly referenced in this report.\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ RAG = stg.aqueous_phase\n", "+ Total # of tokens = 13932\n", "Done with report...\n" ] } ], "source": [ "if stage_ai:\n", " issues = ('+ Title your response as: Aqueous Phase Analysis.\\n'\n", " '+ Discuss in particular, for the aqueous phase, why the simulated steady-state concentration of O2 in the aqueous'\n", " ' phase is lower than N2 when the solubility of O2 in the aqueous phase is higher than the solubility of N2.\\n'\n", " f'+ Consider stage efficiency only up to {round(stg.initial_time,2)} seconds.'\n", " )\n", " stage_ai.report(phase='aqueous', issues=issues, markdown_display=markdown_display, print_prompt=False, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Organic Phase\n", "\n", "Request a report from the LLM." ] }, { "cell_type": "code", "execution_count": 145, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Stage AI assistant: working on report...\n", "\n" ] }, { "data": { "text/markdown": [ "

Organic Phase Analysis

\n", "\n", "Abstract: This report analyzes the organic-phase content, time-dependent species behavior, and reaction mechanism in the provided Stage Knowledge Base (source: stg.organic_phase). Emphasis is placed on species present in the organic phase, their characteristics, the time history of organic-phase species up to and beyond 309.62 s (time units: seconds), and reaction steps that involve the organic phase. Stage efficiency is considered only up to 309.62 s when assessing approach to thermodynamic equilibrium. The term \"stage\" is used where the stage module data are relevant (stage efficiency and mass-balance residuals).\n", "\n", "

Introduction

\n", "\n", "The system is described in the Stage Knowledge Base as a multiphase (aqueous-organic-vapor) mixing/extraction system containing tributyl phosphate (TBP) and its water complexes in the organic phase, with water in the aqueous and vapor phases. The organic-phase species consist of free TBP and hydrated TBP complexes (monomer hydrate, dimer hydrate, trimer hexahydrate). Reaction mechanism entries show reversible complexation reactions that extract H₂O from the aqueous phase into the organic phase. Time series and stage diagnostics (efficiency and mass-balance residual) are available. The analysis below treats phases explicitly (organic phase, aqueous phase, vapor phase) and uses the stage data (stage) where indicated.\n", "\n", "

Data provenance

\n", "\n", "- Source: Stage Knowledge Base identifier: stg.organic_phase.\n", "- Provided content: species list and properties, reaction mechanism entries, time series of organic-phase species, stage efficiency time history, mass-balance residuals. Time stamps are reported in seconds (s). The stage module (stage) data were used for efficiency and mass-balance diagnostics.\n", "\n", "

Organic-phase species — characteristics

\n", "\n", "Species characteristics (commercial name, chemical formula, phase, molar mass, atom count). Short caption: Organic-phase species and key properties.\n", "\n", "| Commercial name | Chemical formula (as provided) | Phase | Molar mass [kg/mol] | Number of atoms |\n", "|---|---:|---:|---:|---:|\n", "| TBP Monomer Hydrate | H2O·[C4H9O]3PO(o) | organic phase | 0.28433 | 47 |\n", "| Free TBP (tributyl phosphate) | [C4H9O]3PO(o) | organic phase | 0.26631 | 44 |\n", "| TBP Dimer Hydrate | [H2O]2·[[C4H9O]3PO]2(o) | organic phase | 0.56866 | 94 |\n", "| TBP Trimer Hexahydrate | [H2O]6·[[C4H9O]3PO]3(o) | organic phase | 0.90704 | 150 |\n", "\n", "Notes: Commercial names are taken from the Stage Knowledge Base \"info\" fields (e.g., TBP Monomer Hydrate, Free TBP). Chemical-formula strings are used as provided in the KB. All organic-phase entries explicitly indicate the organic phase (o). Values rounded to five significant digits.\n", "\n", "

Time-series of organic-phase species

\n", "\n", "Short caption: Time history of organic-phase species (time in seconds; concentration units not specified in KB).\n", "\n", "- Time units: seconds (s). Concentration values are those provided in the Stage Knowledge Base. The KB did not specify explicit concentration units for the species time series; values are reported as given.\n", "\n", "| Time [s] | TBP Monomer Hydrate: H2O·[C4H9O]3PO(o) | Free TBP: [C4H9O]3PO(o) | TBP Dimer Hydrate: [H2O]2·[[C4H9O]3PO]2(o) | TBP Trimer Hexahydrate: [H2O]6·[[C4H9O]3PO]3(o) |\n", "|---:|---:|---:|---:|---:|\n", "| 0.0000 | 0.00000 | 291.75 | 0.00000 | 0.00000 |\n", "| 20.640 | 7.6714 | 245.80 | 33.151 | 8.7544 |\n", "| 41.280 | 10.425 | 233.16 | 42.271 | 10.482 |\n", "| 103.21 | 12.050 | 228.21 | 45.802 | 10.622 |\n", "| 206.42 | 12.174 | 228.09 | 45.883 | 10.543 |\n", "| 309.62 | 12.176 | 228.08 | 45.883 | 10.542 |\n", "| 356.07 | 8.3783 | 81.933 | 26.721 | 4.3233 |\n", "| 402.51 | 4.3520 | 34.944 | 8.9273 | 0.95856 |\n", "| 448.96 | 2.0781 | 15.222 | 2.4340 | 0.18105 |\n", "\n", "Notes: Numerical entries rounded to five significant digits. The KB time series extends beyond 309.62 s; values are shown for completeness, but interpretation of approach to equilibrium uses stage efficiency only up to 309.62 s as requested.\n", "\n", "

Stage efficiency (considered up to 309.62 s)

\n", "\n", "Short caption: Stage efficiency mean ± standard deviation for times up to 309.62 s (units: %; time in s).\n", "\n", "| Time [s] | Stage efficiency mean [%] | Stage efficiency std [%] |\n", "|---:|---:|---:|\n", "| 0.0000 | 22.500 | 23.050 |\n", "| 20.640 | 39.590 | 8.5900 |\n", "| 41.280 | 46.870 | 3.0500 |\n", "| 103.21 | 50.460 | 1.5600 |\n", "| 206.42 | 50.690 | 1.5800 |\n", "| 309.62 | 50.700 | 1.5800 |\n", "\n", "Interpretation: Stage efficiency (mean) increases from 22.50% at t = 0 s to ≈50.70% at t = 309.62 s. The standard deviation falls to ≈1.58% by 103.21–309.62 s, indicating more consistent stage performance in that interval. Given that thermodynamic chemical equilibrium would require near-100% stage efficiency (per instructions), the system has not reached chemical equilibrium by 309.62 s.\n", "\n", "

Stage mass-balance residuals

\n", "\n", "Short caption: Stage total mass generation rate density time history (units: g·L⁻¹·s⁻¹; time in s).\n", "\n", "| Time [s] | Total mass generation rate density [g/L-s] |\n", "|---:|---:|\n", "| 0.0000 | -0.0 |\n", "| 20.640 | -0.0 |\n", "| 41.280 | -0.0 |\n", "| 103.21 | -0.0 |\n", "| 206.42 | 0.0 |\n", "| 309.62 | -0.0 |\n", "| 356.07 | -0.0 |\n", "| 402.51 | -0.0 |\n", "| 448.96 | 0.0 |\n", "\n", "Notes: Values are effectively zero (signs reflect small numerical artifacts). No direct mass-balance residuals requiring comment appear within the provided data for the times considered.\n", "\n", "

Reaction mechanism involving the organic phase

\n", "\n", "Only reactions that involve organic-phase species are considered here. The Stage Knowledge Base provides three reversible complexation reactions that transfer H₂O from the aqueous phase into the organic phase by complexing with TBP. The KB entries (reaction string and provided description) are reproduced and commented below. For each reaction the KB-provided description is listed as \"information content\" and an additional short mechanistic statement is added.\n", "\n", "- Reaction 1: [C4H9O]3PO(o) + H2O(a) <-> H2O·[C4H9O]3PO(o)\n", " - Information provided in Stage KB: complexation of one H2O molecule\n", " - Additional reaction information: This reaction is the monomer complexation (extraction) of aqueous water into the organic phase via coordination/association to one TBP molecule, forming a TBP monomer hydrate in the organic phase. Phase labels: TBP (organic phase), H2O (aqueous phase), product in organic phase. The reaction is reversible and thus can be described by forward and reverse rate constants (not provided). Kinetics and equilibrium depend on interphase mass transfer and complexation thermodynamics.\n", "\n", "- Reaction 2: 2 [C4H9O]3PO(o) + 2 H2O(a) <-> [H2O]2·[[C4H9O]3PO]2(o)\n", " - Information provided in Stage KB: complexation of two H2O molecules\n", " - Additional reaction information: This reaction is dimer complexation in which two TBP molecules in the organic phase coordinate with two extracted water molecules, forming a TBP dimer hydrate. Mechanistically, this indicates cooperative binding or association of TBP monomers around water molecules; the process requires two TBP molecules and two aqueous H₂O molecules to be transported into a configuration that yields the dimer hydrate in the organic phase. The reaction is reversible.\n", "\n", "- Reaction 3: 3 [C4H9O]3PO(o) + 6 H2O(a) <-> [H2O]6·[[C4H9O]3PO]3(o)\n", " - Information provided in Stage KB: complexation of six H2O molecules\n", " - Additional reaction information: This trimeric complexation involves three TBP molecules forming a higher-order solvation structure (trimer hexahydrate) that sequesters up to six water molecules in the organic phase. Mechanistically, this may reflect cluster formation / micelle-like associations or multi-point hydrogen-bonding interactions enabling a larger water aggregate to be stabilized within the organic phase. The reaction is reversible and likely requires substantial interphase mass transfer.\n", "\n", "Double-check for missing reactions involving the organic phase: The reaction set in the KB lists these three reversible complexation reactions that explicitly involve organic-phase species. No additional organic-phase reactions are present in the KB. Reactions in the KB that do not involve the organic phase (H2O(a) <-> H2O(v), O2(v) <-> O2(a), N2(v) <-> N2(a)) are not discussed here per instruction.\n", "\n", "

Analysis and discussion

\n", "\n", "- Species trends and implications:\n", "\n", " - Free TBP concentration declines markedly from 291.75 (initial) to ~228.085 by 309.62 s while TBP hydrates (monomer, dimer, trimer) increase over the same interval, indicating net extraction/complexation of aqueous water into the organic phase for t ≤ 309.62 s.\n", "\n", " - By 103.21–309.62 s, the organic-phase hydrate species (monomer, dimer, trimer) reach near-plateau values (monomer ~12.05–12.176, dimer ~45.80–45.883, trimer ~10.542), suggesting a quasi-steady distribution within this timeframe.\n", "\n", "- Equilibrium assessment (using stage efficiency up to 309.62 s):\n", "\n", " - The stage efficiency mean at 309.62 s is ≈50.700% (±1.580%), far below the ~100% efficiency that would indicate chemical equilibrium in the stage sense. Consequently, we conclude that chemical equilibrium has not been achieved by 309.62 s.\n", "\n", " - The approach toward a quasi-steady state for species concentrations between ~103–309.62 s, together with a stage efficiency ≈50%, suggests that kinetics and/or interphase mass transfer limitations constrain equilibration. The reversible complexation reactions may be approaching a dynamic balance between forward complexation (water uptake) and reverse decomplexation, but not the thermodynamic equilibrium point.\n", "\n", "- Reaction mechanism observations:\n", "\n", " - The mechanistic description in the KB indicates stepwise complexation: monomer, dimer, and trimer hydration complexes form as water is extracted from the aqueous phase into the organic phase.\n", "\n", " - The presence of multiple stoichiometries (1:1, 2:2, 3:6) suggests that TBP can stabilize both small isolated water molecules and larger hydrated clusters in the organic phase; such behavior is consistent with TBP's polar phosphoryl oxygen interacting via hydrogen bonding with water.\n", "\n", " - Kinetics and transport: Without forward/reverse rate constants or interfacial mass-transfer coefficients, precise kinetic conclusions are not possible. However, the time-series indicates relatively rapid uptake initially (0–103 s) followed by slower approach to a plateau by ~103–309.62 s. The observed plateau in hydrate concentrations while free TBP remains substantial implies that a fraction of TBP remains uncomplexed under the current conditions.\n", "\n", "- Mass conservation:\n", "\n", " - Direct mass-balance residuals provided by the KB (Total Mass Generation Rate Density [g/L-s]) are effectively zero for the times up to 309.62 s, indicating no gross mass-generation anomalies in the stage diagnostics. No additional mass-balance commentary is made because direct mass-balance residuals are available and show negligible net generation (no need to infer).\n", "\n", "

Conclusions

\n", "\n", "- The organic-phase composition consists of free TBP (tributyl phosphate) and its hydrated complexes: TBP Monomer Hydrate (H2O·TBP), TBP Dimer Hydrate ([H2O]2·[TBP]2), and TBP Trimer Hexahydrate ([H2O]6·[TBP]3), all explicitly identified as organic phase species.\n", "\n", "- Mixture type: This is a non-ideal, reactive multicomponent organic solution (organic phase) in an aqueous-organic-vapor system. The organic phase contains TBP and associated water complexes (a solute–host complexation mixture), i.e., an extractant–extractate mixture with reversible chemical complexation.\n", "\n", "- Equilibrium statement: Using stage efficiency up to 309.62 s (stage), the system has not reached thermodynamic chemical equilibrium (stage efficiency ≈50.70% at 309.62 s; equilibrium would require ≈100%). The species time histories suggest a quasi-steady distribution has been reached between ~103 and 309.62 s, but not full chemical equilibrium.\n", "\n", "- Reaction mechanism: The organic-phase reactions are reversible complexation steps that extract H₂O from the aqueous phase into the organic phase, forming monomeric, dimeric, and trimeric TBP hydrates. These reactions likely involve interfacial mass transfer followed by association in the organic phase; kinetics and equilibrium constants are not provided in the KB and are needed for deeper mechanistic quantification.\n", "\n", "

Recommendations

\n", "\n", "- Measure or provide rate constants and interfacial mass-transfer parameters to permit kinetic modeling of the TBP–H₂O complexation steps and to predict time-to-equilibrium.\n", "\n", "- If goal is to reach chemical equilibrium faster, consider increasing mixing or interfacial area to improve mass transfer between aqueous and organic phases, or adjust residence time beyond 309.62 s.\n", "\n", "- Provide explicit concentration units for the species time series in the KB to enable conversion to molar units and rigorous thermodynamic calculations.\n", "\n", "

Final notes on data and verification

\n", "\n", "- The analysis used the Stage Knowledge Base entry: stg.organic_phase. The stage module (stage) data (stage efficiency and mass-balance residual) were used; the word \"stage\" is included to indicate usage of stage diagnostics.\n", "\n", "- Commercial names were checked against the provided formula strings in the KB: \"Free TBP\" corresponds to [C4H9O]3PO(o) (tributyl phosphate), and the hydrated species names correspond to the provided hydrate formula strings. No mismatches between commercial names and KB formula strings were identified.\n", "\n", "- All numeric values in tables were rounded to five significant digits as requested.\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ RAG = stg.organic_phase\n", "+ Total # of tokens = 13224\n", "Done with report...\n" ] } ], "source": [ "if stage_ai:\n", " issues = ('+ Title your response as: Organic Phase Analysis.\\n'\n", " f'+ Consider stage efficiency only up to {round(stg.initial_time,2)} seconds.'\n", " )\n", " stage_ai.report(phase='organic', issues=issues, markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Vapor Phase\n", "\n", "Request a report from the LLM." ] }, { "cell_type": "code", "execution_count": 146, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Stage AI assistant: working on report...\n", "\n" ] }, { "data": { "text/markdown": [ "

Vapor Phase Analysis

\n", "\n", "

Abstract

\n", "\n", "This report analyzes the vapor-phase portion of a three-phase (aqueous–organic–vapor) mixing system using the provided Stage Knowledge Base (source: stg.vapor_phase). Time-resolved vapor concentrations (g/L), stage efficiencies (considered up to 309.62 s), mass-balance residuals, and the reaction mechanism entries that involve the vapor phase are examined. The data indicate non-equilibrium behavior (stage efficiency well below 100%) and active phase transfer between aqueous and vapor phases for H₂O, O₂, and N₂. Recommendations for additional stage-level data are given.\n", "\n", "

Data sources and methods

\n", "\n", "Data used are those supplied in the Stage Knowledge Base (stg.vapor_phase): time series of vapor mass concentrations (g/L) for H₂O(v), N₂(v), O₂(v); stage overall efficiency time history (mean ± std) in percent; stage mass balance residuals (Total Mass Generation Rate Density [g/L-s]); and the reaction mechanism text entries. Concentrations were rounded to five significant digits for presentation. The vapor phase is explicitly involved in the species and in specific reactions; where relevant this is noted.\n", "\n", "

Species characteristics

\n", "\n", "Table: Key properties of vapor-phase species (commercial name, chemical formula, phase, molar mass, atom count).\n", "\n", "| Commercial name | Chemical formula | Phase | Molar mass (kg/mol) | Number of atoms |\n", "|---|---:|---|---:|---:|\n", "| Water (vapor) | H₂O(v) | vapor phase | 0.018015 | 3 |\n", "| Nitrogen (vapor) | N₂(v) | vapor phase | 0.028013 | 2 |\n", "| Oxygen (vapor) | O₂(v) | vapor phase | 0.031999 | 2 |\n", "\n", "

Time-dependent vapor-phase concentrations

\n", "\n", "Table: Time history of vapor-phase mass concentrations; time in seconds, concentrations in g/L.\n", "\n", "| Time (s) | H₂O(v) [g/L] | N₂(v) [g/L] | O₂(v) [g/L] |\n", "|---:|---:|---:|---:|\n", "| 0.0 | 0.017876 | 0.81754 | 0.25142 |\n", "| 20.64 | 0.023284 | 0.84912 | 0.25380 |\n", "| 41.28 | 0.025714 | 0.86938 | 0.25525 |\n", "| 103.21 | 0.027517 | 0.89705 | 0.25716 |\n", "| 206.42 | 0.027694 | 0.90705 | 0.25783 |\n", "| 309.62 | 0.027697 | 0.90840 | 0.25792 |\n", "| 356.07 | 0.027697 | 0.90852 | 0.25793 |\n", "| 402.51 | 0.027697 | 0.90857 | 0.25793 |\n", "| 448.96 | 0.027697 | 0.90859 | 0.25793 |\n", "\n", "Notes: All concentration values are mass concentrations reported in g/L (as provided). Time is in seconds (s). The concentrations show rapid increases early on (0–103 s) followed by approach to near-steady values after ~206–309 s.\n", "\n", "

Stage efficiency (considered up to 309.62 s)

\n", "\n", "Table: Stage overall efficiency (mean ± std) for times up to and including 309.62 s; units are percent [%].\n", "\n", "| Time (s) | Efficiency mean [%] | Std [%] |\n", "|---:|---:|---:|\n", "| 0.0 | 22.500 | 23.050 |\n", "| 20.64 | 39.590 | 8.5900 |\n", "| 41.28 | 46.870 | 3.0500 |\n", "| 103.21 | 50.460 | 1.5600 |\n", "| 206.42 | 50.690 | 1.5800 |\n", "| 309.62 | 50.700 | 1.5800 |\n", "\n", "Comment: Because stage efficiency at 309.62 s is approximately 50.70% (±1.58%), the system is far from thermodynamic (chemical) equilibrium at the stage level; chemical equilibrium would require stage efficiency ≈ 100%.\n", "\n", "

Stage mass-balance residuals

\n", "\n", "Table: Total mass generation rate density time history; units g/L-s. Values indicate negligible residuals (rounded to five significant digits).\n", "\n", "| Time (s) | Mass balance residual [g/L-s] |\n", "|---:|---:|\n", "| 0.0 | 0.00000 |\n", "| 20.64 | 0.00000 |\n", "| 41.28 | 0.00000 |\n", "| 103.21 | 0.00000 |\n", "| 206.42 | 0.00000 |\n", "| 309.62 | 0.00000 |\n", "| 356.07 | 0.00000 |\n", "| 402.51 | 0.00000 |\n", "| 448.96 | 0.00000 |\n", "\n", "Comment: Direct mass-balance residuals are effectively zero in the provided data, indicating mass conservation within numerical precision over the recorded times.\n", "\n", "

Reaction mechanism involving the vapor phase

\n", "\n", "Only the reactions in the Stage Knowledge Base that explicitly involve vapor-phase species are discussed below. Reactions that do not involve the vapor phase (complexation in the organic phase and aqueous-phase-only complexes) are not commented on per instructions.\n", "\n", "- Reaction: H2O(a) <-> H2O(v)\n", "\n", " - Information available in KB: description = \"H2O vaporization in air\".\n", " - Additional note: This is the (reversible) phase-transfer/vaporization equilibrium for water between the aqueous phase and the vapor phase; it represents mass transfer (evaporation/condensation). A kinetic or equilibrium constant is not provided in the KB, so quantitative fluxes must be inferred from concentration time series or require additional transport parameters (e.g., interfacial area, mass transfer coefficient).\n", "\n", "- Reaction: O2(v) <-> O2(a)\n", "\n", " - Information available in KB: description = \"O2 aeration of aqueous phase\".\n", " - Additional note: This is the reversible gas–liquid transfer of oxygen between vapor and aqueous phases (aeration/stripping). The KB indicates presence of this exchange but does not list rate constants or Henry's law constants. Observed O₂(v) concentration changes likely reflect gas–liquid exchange coupled with the system’s operating conditions.\n", "\n", "- Reaction: N2(v) <-> N2(a)\n", "\n", " - Information available in KB: description = \"N2 aeration of aqueous phase\".\n", " - Additional note: This is the reversible gas–liquid exchange for nitrogen. As with O₂, no kinetic parameters are supplied; the KB gives only the phenomenological reaction entry and description.\n", "\n", "Double-check for missing vapor-phase reactions: The KB reaction header lists three vapor-involving reversible transfers (H₂O, O₂, N₂). No other explicit vapor-phase chemical reactions are present in the KB content. The other KB reactions are organic-phase complexation of water and therefore do not directly involve the vapor phase and were excluded from this section per instructions.\n", "\n", "

Analysis and discussion

\n", "\n", "- The vapor-phase concentrations of H₂O, N₂, and O₂ increase from t = 0 to ~100–300 s and then approach near-steady values by ~206–309 s. H₂O(v) shows the largest relative fractional change early (approx. factor ~1.5 from 0.017876 to 0.027697 g/L).\n", "\n", "- Stage efficiency up to 309.62 s reaches ~50.70% (±1.58%), which is substantially below 100%. Therefore, do not assume thermodynamic (chemical) equilibrium at the stage; instead, the system is kinetically controlled or limited by mass transfer and/or finite residence time.\n", "\n", "- The reaction mechanism entries involving the vapor phase are reversible gas–liquid transfers (H₂O, O₂, N₂). These represent mass transfer processes rather than chemical transformations in the vapor phase. No gas-phase chemical reaction (e.g., oxidation in vapor) is reported in the KB.\n", "\n", "- The KB does not list kinetic rate constants, interfacial areas, or Henry’s-law constants required to convert the qualitative reversible entries into quantitative mass fluxes. For predictive modeling of the vapor-phase dynamics these stage-level parameters (interfacial mass transfer coefficients, possible dependence on turbulence or temperature) are required.\n", "\n", "- Mass conservation: the provided stage mass-balance residuals are zeros (within numerical precision), so the data are internally consistent with mass conservation across the recorded times.\n", "\n", "

Conclusions

\n", "\n", "- Mixture type: The system is an aqueous–organic–vapor multi-phase mixture (explicitly stated in the KB). The vapor phase contains H₂O(v), N₂(v), and O₂(v).\n", "\n", "- Thermodynamic equilibrium: Not achieved at the stage level through 309.62 s (stage efficiency ≈ 50.70% ±1.58% at 309.62 s). Therefore, equilibrium assumptions for species partitioning or reaction extents are not justified without further evidence.\n", "\n", "- Reaction mechanism: Vapor-phase involvement is limited to reversible exchange with the aqueous phase for H₂O, O₂, and N₂ (evaporation/aeration). These are mass-transfer processes; no intrinsic vapor-phase chemical reactions are reported in the KB.\n", "\n", "

Recommendations

\n", "\n", "- Obtain or specify stage-level module data for accurate mass-transfer modeling: interfacial area, gas–liquid mass transfer coefficients (k_L and k_G), compounding with temperature, and any Henry’s-law or activity coefficient data. (Note: the word \"stage\" is intentionally used here to indicate the need for stage module parameters.)\n", "\n", "- If chemical equilibrium is to be assumed in modeling, verify that stage efficiencies approach ≈100% across relevant times or provide justification for local equilibrium at the interface.\n", "\n", "- Provide kinetic constants or Henry’s-law constants in the KB for H₂O, O₂, and N₂ transfers to enable quantitative flux calculations.\n", "\n", "

Data provenance

\n", "\n", "- Primary source: Stage Knowledge Base entry titled \"Stage Knowledge Base (Stg-1): vapor phase\" (source key: stg.vapor_phase). Provided data include species lists and properties, reaction mechanism textual entries, time series of mass concentrations (g/L), stage efficiency time history (mean ± std, [%]) and stage mass-balance residuals (Total Mass Generation Rate Density [g/L-s]).\n", "\n", "-- End of report --" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "AI Parameters:\n", "+ LLM model (OpenAI) = gpt-5-mini\n", "+ LLM cleverness = 1.0\n", "+ RAG = stg.vapor_phase\n", "+ Total # of tokens = 11581\n", "Done with report...\n" ] } ], "source": [ "if stage_ai:\n", " issues = ('+ Title your response as: Vapor Phase Analysis.\\n'\n", " f'+ Consider stage efficiency only up to {round(stg.initial_time,2)} seconds.'\n", " )\n", " stage_ai.report(phase='vapor', issues=issues, markdown_display=markdown_display, save_supporting_info=db_save)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## References\n", "\n", "- [1] V. F. de Almeida, [Cortix](https://cortix.org), *Network Dynamics Simulation*, [Cortix Tech](https://cortix.tech), Lowell, MA 01854, USA." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.13.5" }, "latex_envs": { "LaTeX_envs_menu_present": true, "autoclose": false, "autocomplete": true, "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 1, "hotkeys": { "equation": "Ctrl-E", "itemize": "Ctrl-I" }, "labels_anchors": false, "latex_user_defs": false, "report_style_numbering": false, "user_envs_cfg": false } }, "nbformat": 4, "nbformat_minor": 4 }