From ef5b334cb18ea4af0b7962374003194d65f0455e Mon Sep 17 00:00:00 2001
From: wadealexc <pragma-services@proton.me>
Date: Fri, 20 Jun 2025 14:36:01 +0000
Subject: [PATCH 1/2] test: scratch space for rounding analysis

---
 foundry.toml                                  |    3 +
 params.toml                                   |    0
 .../integration/dsf_percent_deltas_plot3.png  |  Bin 0 -> 133531 bytes
 .../integration/dsf_percent_deltas_plot4.png  |  Bin 0 -> 108666 bytes
 src/test/integration/iterations.json          | 1103 ++++++++++++
 src/test/integration/iterations2.json         | 1014 +++++++++++
 src/test/integration/output.json              | 1521 +++++++++++++++++
 src/test/integration/params.toml              |   12 +
 src/test/integration/plot.py                  |   60 +
 src/test/integration/plot2.py                 |  102 ++
 .../tests/RoundingDeallocation.t.sol          |  609 +++++++
 11 files changed, 4424 insertions(+)
 create mode 100644 params.toml
 create mode 100644 src/test/integration/dsf_percent_deltas_plot3.png
 create mode 100644 src/test/integration/dsf_percent_deltas_plot4.png
 create mode 100644 src/test/integration/iterations.json
 create mode 100644 src/test/integration/iterations2.json
 create mode 100644 src/test/integration/output.json
 create mode 100644 src/test/integration/params.toml
 create mode 100644 src/test/integration/plot.py
 create mode 100644 src/test/integration/plot2.py
 create mode 100644 src/test/integration/tests/RoundingDeallocation.t.sol

diff --git a/foundry.toml b/foundry.toml
index 86113eb783..62bce3cf12 100644
--- a/foundry.toml
+++ b/foundry.toml
@@ -80,6 +80,9 @@
     no_match_path = "script/releases/**/*.sol"
     fs_permissions = [{ access = "read-write", path = "./"}]
 
+    gas_limit = "18446744073709551615" # 2^64-1
+    memory_limit = 1073741824
+
 [profile.default.fmt]
     # Single-line vs multi-line statement blocks
     single_line_statement_blocks = "preserve"  # Options: "single", "multi", "preserve"
diff --git a/params.toml b/params.toml
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/src/test/integration/dsf_percent_deltas_plot3.png b/src/test/integration/dsf_percent_deltas_plot3.png
new file mode 100644
index 0000000000000000000000000000000000000000..311e14efac808ecfaad2470d1d75d4edd998794c
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literal 0
HcmV?d00001

diff --git a/src/test/integration/iterations.json b/src/test/integration/iterations.json
new file mode 100644
index 0000000000..05817a2aab
--- /dev/null
+++ b/src/test/integration/iterations.json
@@ -0,0 +1,1103 @@
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\ No newline at end of file
diff --git a/src/test/integration/iterations2.json b/src/test/integration/iterations2.json
new file mode 100644
index 0000000000..6f8dc10e71
--- /dev/null
+++ b/src/test/integration/iterations2.json
@@ -0,0 +1,1014 @@
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\ No newline at end of file
diff --git a/src/test/integration/output.json b/src/test/integration/output.json
new file mode 100644
index 0000000000..2ddb6c640b
--- /dev/null
+++ b/src/test/integration/output.json
@@ -0,0 +1,1521 @@
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+      498753117206982,
+      498504486540378,
+      498256103637269
+    ]
+  }
+}
\ No newline at end of file
diff --git a/src/test/integration/params.toml b/src/test/integration/params.toml
new file mode 100644
index 0000000000..5f4b9310c9
--- /dev/null
+++ b/src/test/integration/params.toml
@@ -0,0 +1,12 @@
+printLast = 5
+printEvery = 1
+writeJSON = 0
+
+prevDepositShares = 496
+iterations = 0
+
+startDSF = 1000000000000000000
+startShares = 1
+startSharesToAdd = 2
+maxMagDecrease = 0
+contIterations = 3
\ No newline at end of file
diff --git a/src/test/integration/plot.py b/src/test/integration/plot.py
new file mode 100644
index 0000000000..990aa36a54
--- /dev/null
+++ b/src/test/integration/plot.py
@@ -0,0 +1,60 @@
+import json
+import matplotlib.pyplot as plt
+import matplotlib.ticker as ticker
+
+# Load data from JSON file
+with open('iterations.json', 'r') as f:
+    data = json.load(f)
+
+# Compute percent decreases
+percent_drops = [(data[i - 1] - data[i]) / data[i - 1] * 100 for i in range(1, len(data))]
+x_values = list(range(1, len(data)))
+
+# Plotting
+plt.figure(figsize=(10, 6))
+plt.plot(x_values, percent_drops, marker='o', linestyle='-', markersize=1)
+
+# Labels and title
+plt.xlabel('iterations')
+plt.ylabel('% decrease in DSF')
+plt.title('Percent Decrease in DSF per Iteration')
+plt.grid(True)
+
+cliff_index = 1000  # replace with actual index where plateau begins
+dsf_value = data[cliff_index]
+
+# Format DSF in scientific notation
+dsf_label = f'{dsf_value:.2e}'
+
+plt.axvline(x=cliff_index, color='red', linestyle='--', label=f'Cliff @ {cliff_index}')
+
+# Add vertical red text along the line
+plt.text(
+    x=cliff_index + 2,     # slight offset to avoid overlapping the line
+    y=max(percent_drops) * 0.9,  # place vertically near the top
+    s=dsf_label,
+    color='red',
+    rotation=-90,
+    va='center',
+    ha='left',
+    fontsize=10,
+    bbox=dict(facecolor='white', edgecolor='red', boxstyle='round,pad=0.3')
+)
+
+# Annotate iteration number at bottom
+plt.text(
+    x=cliff_index,
+    y=-0.005,  # a bit below the X-axis; tweak if needed
+    s=f'i = {cliff_index}',
+    color='red',
+    rotation=0,
+    va='top',
+    ha='center',
+    fontsize=7,
+    fontweight='bold',
+    transform=plt.gca().get_xaxis_transform()
+)
+
+# Save the plot
+plt.tight_layout()
+plt.savefig('dsf_percent_deltas_plot4.png', dpi=300)
diff --git a/src/test/integration/plot2.py b/src/test/integration/plot2.py
new file mode 100644
index 0000000000..44ec98a4b3
--- /dev/null
+++ b/src/test/integration/plot2.py
@@ -0,0 +1,102 @@
+import json
+import matplotlib.pyplot as plt
+import matplotlib.ticker as ticker
+
+# Load data
+with open('iterations2.json', 'r') as f:
+    data = json.load(f)
+
+x_values = []
+percent_drops = []
+
+# Set up the figure before we draw vertical lines
+plt.figure(figsize=(10, 6))
+
+# Collect percent drops (skip increases) and draw red lines for increases
+for i in range(1, len(data)):
+    if data[i] <= data[i - 1]:
+        drop = (data[i - 1] - data[i]) / data[i - 1] * 100
+        percent_drops.append(drop)
+        x_values.append(i)
+    else:
+        # DSF increased — draw vertical red line and annotate
+        plt.axvline(x=i, color='red', linestyle='--', linewidth=2)
+
+        prev_dsf = f'{data[i - 1]:.2e}'
+        new_dsf = f'{data[i]:.2e}'
+        label = f'{prev_dsf} → {new_dsf}'
+
+        plt.text(
+            x=i + 2,
+            y=50*0.75,  # temporary value, updated after max_drop is known
+            s=label,
+            color='red',
+            rotation=-90,
+            va='center',
+            ha='left',
+            fontsize=8,
+            bbox=dict(facecolor='white', edgecolor='red', boxstyle='round,pad=0.3'),
+        )
+
+        # Annotate iteration number at bottom
+        plt.text(
+            x=i,
+            y=-0.005,  # a bit below the X-axis; tweak if needed
+            s=f'i = {i}',
+            color='red',
+            rotation=0,
+            va='top',
+            ha='center',
+            fontsize=7,
+            fontweight='bold',
+            transform=plt.gca().get_xaxis_transform()
+        )
+
+# Plot the valid percent drops
+plt.plot(x_values, percent_drops, marker='o', linestyle='-', markersize=1)
+
+# Axis labels and title
+plt.xlabel('iterations')
+plt.ylabel('% decrease in DSF')
+plt.title('Percent Decrease in DSF per Iteration')
+plt.grid(True)
+
+# Set Y-axis limit to max % decrease
+max_drop = max(percent_drops)
+plt.ylim(0, max_drop * 1.05)  # 5% padding
+
+# Optional: highlight a known cliff
+cliff_index = 1003
+dsf_value = data[cliff_index]
+dsf_label = f'{dsf_value:.2e}'
+
+plt.axvline(x=cliff_index, color='red', linestyle='--', label=f'Cliff @ {cliff_index}')
+plt.text(
+    x=cliff_index + 2,
+    y=max_drop * 0.75,
+    s=dsf_label,
+    color='red',
+    rotation=-90,
+    va='center',
+    ha='left',
+    fontsize=10,
+    bbox=dict(facecolor='white', edgecolor='red', boxstyle='round,pad=0.3')
+)
+
+# Annotate iteration number at bottom
+plt.text(
+    x=i,
+    y=-0.005,  # a bit below the X-axis; tweak if needed
+    s=f'i = {cliff_index}',
+    color='red',
+    rotation=0,
+    va='top',
+    ha='center',
+    fontsize=7,
+    fontweight='bold',
+    transform=plt.gca().get_xaxis_transform()
+)
+
+# Save plot
+plt.tight_layout()
+plt.savefig('dsf_percent_deltas_plot3.png', dpi=300)
diff --git a/src/test/integration/tests/RoundingDeallocation.t.sol b/src/test/integration/tests/RoundingDeallocation.t.sol
new file mode 100644
index 0000000000..074a78349b
--- /dev/null
+++ b/src/test/integration/tests/RoundingDeallocation.t.sol
@@ -0,0 +1,609 @@
+// SPDX-License-Identifier: BUSL-1.1
+pragma solidity ^0.8.27;
+
+import "@openzeppelin/contracts/utils/math/Math.sol";
+import "@openzeppelin/contracts/utils/Strings.sol";
+import "src/test/integration/IntegrationChecks.t.sol";
+
+/// Not sure this test is actually useful, mostly used this to play around with the numbers.
+/// The conclusion is self-evident from the replicated math...
+contract Integration_Rounding_Deallocation is IntegrationCheckUtils {
+
+    using ArrayLib for *;
+    using StdStyle for *;
+    using Strings for *;
+    using Math for *;
+
+    struct Magnitude {
+        uint64 max;
+        uint64 cur;
+        uint64 available;
+        uint64 pendDealloc;
+    }
+
+    enum ValueMod {
+        SUB,
+        NONE,
+        ADD
+    }
+
+    struct Slash {
+        uint8 mantissa;
+        uint8 exponent;
+        ValueMod vMod;
+    }
+
+    Magnitude mag;
+    Slash slash;
+
+    using SlashingLib for *;
+
+    DepositScalingFactor dsf;
+
+    function test_DSF_Manip(uint scalingFactor, uint prevDepositShares, uint addedShares, uint slashingFactor) public rand(0) {
+        scalingFactor = bound(scalingFactor, 1, WAD);
+        prevDepositShares = bound(prevDepositShares, 0, uint(type(uint8).max));
+        addedShares = bound(addedShares, 0, uint(type(uint8).max));
+        slashingFactor = bound(slashingFactor, 1, 1e18);
+
+        dsf._scalingFactor = scalingFactor;
+        // prevDepositShares = 2;
+        // addedShares = 2;
+        // slashingFactor = 628157962353078290;
+
+        console.log("WAD:               ", uint(1e18));
+        console.log("PrevDepositShares: ", prevDepositShares);
+        console.log("AddedShares:       ", addedShares);
+        console.log("slashingFactor:    ", slashingFactor);
+        console.log("scalingFactor:     ", dsf._scalingFactor);
+
+        dsf.update(prevDepositShares, addedShares, slashingFactor);
+
+        console.log("newScalingFactor:  ", dsf._scalingFactor);
+
+        assertTrue(dsf._scalingFactor >= scalingFactor, "scalingFactor decreased!");
+        assertTrue(dsf._scalingFactor != 0, "scalingFactor hit 0!");
+    }
+
+    struct DSFState {
+        DepositScalingFactor dsf;
+        uint prevScalingFactor;
+        uint operatorMaxMag;
+        uint prevDepositShares;
+        uint addedShares;
+    }
+
+    DSFState state;
+    DepositScalingFactor dummy;
+
+    bool writeJSON = false;
+
+    function _init() internal override {
+        string memory tomlRAW = cheats.readFile("src/test/integration/params.toml");
+
+        printLast = cheats.parseTomlUint(tomlRAW, ".printLast");
+        printEvery = cheats.parseTomlUint(tomlRAW, ".printEvery");
+        writeJSON = cheats.parseTomlUint(tomlRAW, ".writeJSON") == 1;
+        console.log("Printing final %d inputs", printLast);
+        console.log("Printing other inputs every %d iterations", printEvery);
+        console.log("Writing to file: %s", writeJSON ? "true" : "false");
+    }
+
+    uint[] DSFs;
+
+    function test_DSF_DownToZero() public rand(0) {
+        (uint prevDepositShares, uint iterations) = _readTOML();
+        finalIteration = iterations;
+
+        console.log("Start Balance: %s (%d)", _pretty(prevDepositShares), prevDepositShares);
+        console.log("Iterations: %d", iterations);
+
+        state.dsf._scalingFactor = WAD;
+        state.prevScalingFactor = state.dsf._scalingFactor;
+        state.operatorMaxMag = WAD-1;
+        state.addedShares = 1;
+        state.prevDepositShares = prevDepositShares;
+
+        for (uint i = 0; i < iterations; i++) {
+            _print(i);
+
+            state.prevScalingFactor = state.dsf._scalingFactor;
+
+            state.dsf.update({
+                prevDepositShares: state.prevDepositShares,
+                addedShares: state.addedShares,
+                slashingFactor: state.operatorMaxMag
+            });
+
+            DSFs.push(state.dsf._scalingFactor);
+
+            state.prevDepositShares += state.addedShares;
+        }
+
+        _print(iterations);
+        _writeJSON(".DTZ");
+
+        revert();
+    }
+
+    function test_DSF_FindOptimalIterations() public rand(0) {
+        (
+            uint startDSF,
+            uint startShares, 
+            uint startIteration,
+            uint contIterations
+        ) = _readFindContinuationTOML();
+        finalIteration = startIteration + contIterations;
+        // printInputs = true;
+
+        console.log("Start Balance: %s (%d)", _pretty(startShares), startShares);
+        // console.log("Iterations: %d", iterations);
+
+        state.dsf._scalingFactor = startDSF;
+        state.prevScalingFactor = startDSF;
+        state.operatorMaxMag = WAD-1;
+        state.addedShares = 1;
+        state.prevDepositShares = startShares;
+
+        for (uint i = startIteration; i < finalIteration; i++) {
+            _print(i);
+
+            state.prevScalingFactor = state.dsf._scalingFactor;
+
+            state.dsf.update({
+                prevDepositShares: state.prevDepositShares,
+                addedShares: state.addedShares,
+                slashingFactor: state.operatorMaxMag
+            });
+
+            // if (i + 1 == 104) printInputs = true;
+
+            // Iterate until decrease is around 50%
+            uint scaledDecrease = 1e5 - ((1e5 * state.dsf._scalingFactor) / state.prevScalingFactor);
+            if (scaledDecrease >= 49e3) {
+                console.log("Peak found at %d iterations!".green().bold(), i+1);
+                printInputs = true;
+                finalIteration = i + printLast;
+            }
+
+            state.prevDepositShares += state.addedShares;
+        }
+
+        _print(finalIteration);
+
+        revert();
+    }
+
+    function test_DSF_ContinueIteration() public rand(0) {
+        (
+            uint startDSF,
+            uint startShares,
+            uint startSharesToAdd,
+            uint maxMagDecrease,
+            uint startIteration,
+            uint contIterations
+        ) = _readContinueTOML();
+
+        {
+            state.dsf._scalingFactor = startDSF;
+            state.prevScalingFactor = startDSF;
+            state.operatorMaxMag = WAD - 1;
+
+            // console.log("operatorMaxMag: %s (%d)", _pretty(state.operatorMaxMag), state.operatorMaxMag);
+
+            state.prevDepositShares = startShares;
+            state.addedShares = startSharesToAdd;
+            console.log("prevDepositShares: %d", state.prevDepositShares);
+        
+            printInputs = true;
+            finalIteration = startIteration + contIterations;
+        }
+
+        state.dsf.update({
+            prevDepositShares: state.prevDepositShares,
+            addedShares: state.addedShares,
+            slashingFactor: state.operatorMaxMag
+        });
+
+        DSFs.push(state.dsf._scalingFactor);
+
+        console.log("prevDepositShares: %d", state.prevDepositShares);
+        state.prevDepositShares += state.addedShares;
+        state.operatorMaxMag -= maxMagDecrease;
+
+        bool peakFound;
+        for (uint i = startIteration; i < startIteration+contIterations; i++) {
+            _print(i);
+            if (peakFound) printInputs = false;
+
+            state.addedShares = 1;
+            state.prevScalingFactor = state.dsf._scalingFactor;
+
+            console.log("prevDepositShares: %d", state.prevDepositShares);
+
+            state.dsf.update({
+                prevDepositShares: state.prevDepositShares,
+                addedShares: state.addedShares,
+                slashingFactor: state.operatorMaxMag
+            });
+
+            DSFs.push(state.dsf._scalingFactor);
+
+            // Print inputs until peak is found, then stop printing inputs
+            uint scaledDecrease = 1e5 - ((1e5 * state.dsf._scalingFactor) / state.prevScalingFactor);
+            if (scaledDecrease >= 49e3) {
+                console.log("Peak found at %d iterations".green().dim(), i+1);
+                peakFound = true;
+            }
+
+            state.prevDepositShares += state.addedShares;
+        }
+
+        _print(startIteration+contIterations);
+        _writeJSON(".continued");
+        revert();
+    }
+
+    function _readTOML() internal returns (uint, uint) {
+        string memory tomlRAW = cheats.readFile("src/test/integration/params.toml");
+
+        return (
+            cheats.parseTomlUint(tomlRAW, ".prevDepositShares"),
+            cheats.parseTomlUint(tomlRAW, ".iterations")
+        );
+    }
+
+    function _readFindContinuationTOML() internal returns (uint, uint, uint, uint) {
+        string memory tomlRAW = cheats.readFile("src/test/integration/params.toml");
+
+        return (
+            cheats.parseTomlUint(tomlRAW, ".startDSF"),
+            cheats.parseTomlUint(tomlRAW, ".startShares"),
+            cheats.parseTomlUint(tomlRAW, ".iterations") + 1,
+            cheats.parseTomlUint(tomlRAW, ".contIterations")
+        );
+    }
+
+    function _readContinueTOML() internal returns (uint, uint, uint, uint, uint, uint) {
+        string memory tomlRAW = cheats.readFile("src/test/integration/params.toml");
+
+        return (
+            cheats.parseTomlUint(tomlRAW, ".startDSF"),
+            cheats.parseTomlUint(tomlRAW, ".startShares"),
+            cheats.parseTomlUint(tomlRAW, ".startSharesToAdd"),
+            cheats.parseTomlUint(tomlRAW, ".maxMagDecrease"),
+            cheats.parseTomlUint(tomlRAW, ".iterations") + 1,
+            cheats.parseTomlUint(tomlRAW, ".contIterations")
+        );
+    }
+
+    function _writeJSON(string memory arrKey) internal {
+        if (!writeJSON) return;
+
+        string memory outputJSON = cheats.serializeUint("", "", DSFs);
+
+        cheats.writeJson(outputJSON, "src/test/integration/output.json", arrKey);
+    }
+
+    /// Minimum:
+    ///
+    /// DSF:            999000999000999
+    /// operatorMaxMag: 999999999999999999
+    /// depositShares:  1001
+
+    /// Deposit-only method:
+    ///
+    /// numDeposits:      1000
+    /// - optimalStart:   993
+    /// - final DSF:      5.01e14 (501756146512794)
+    ///
+    /// numDeposits:      2000
+    /// - optimalStart:   1993
+    /// - final DSF:      2.50e14 (250438266967192)
+    ///
+    /// numDeposits:      3000
+    /// - optimalStart:   2989
+    /// - final DSF:      1.67e14 (166944908180300)
+    ///
+    /// numDeposits:      4000
+    /// - optimalStart:   3989
+    /// - final DSF:      1.25e14 (125172111653523)
+
+    function test_DSF_SpecificUpdate() public rand(0) {
+        dummy._scalingFactor = 1;
+        dummy.update({
+            prevDepositShares: WAD,
+            addedShares: 1,
+            slashingFactor: 1e18 - 1
+        });
+
+        console.log("finalDSF:                %s (%d)", _pretty(dummy._scalingFactor), dummy._scalingFactor);
+        assertTrue(dummy._scalingFactor != 0, "found 0");
+    }
+
+    uint finalIteration = type(uint).max;
+    uint printLast = 3;
+    uint printEvery = 100;
+    bool printInputs = false;
+
+    function _print(uint iter) internal {
+        // print every 100 iterations, but also print the final 20 iterations
+        if (!printInputs && iter % printEvery != 0) {
+            if (printLast <= finalIteration && iter < finalIteration - printLast) {
+                return;
+            }
+        }
+
+        // if (!printInputs && iter % 10000000 != 0 && iter < finalIteration - printLast) return; 
+        
+        console.log("(%d)".dim(), iter);
+
+        // if (printInputs || iter > finalIteration - printLast) {
+        if (true) {
+            console.log("==Inputs==".yellow());
+            // console.log(" - prevDepositShares:     %d".dim(), state.prevDepositShares - state.addedShares);
+            console.log(" - prevDepositShares:     %d".dim(), state.prevDepositShares);
+            console.log(" - addedShares:           %d".dim(), state.addedShares);
+            console.log(" - prevDSF:               %s (%d)".dim(), _pretty(state.prevScalingFactor), state.prevScalingFactor);
+
+            {
+                console.log("=currentShares=".yellow().dim());
+
+                // uint pDS = state.prevDepositShares - state.addedShares;
+                uint pDS = state.prevDepositShares;
+                uint pDSMulDSF = pDS * state.prevScalingFactor;
+                uint numerator = pDS.mulWad(state.prevScalingFactor) * state.operatorMaxMag;
+                uint currentShares = pDS.mulWad(state.prevScalingFactor).mulWad(state.operatorMaxMag);
+
+                console.log(" - prevDepositShares*DSF: %s (%d)".dim(), _pretty(pDSMulDSF), pDSMulDSF);
+                console.log(" - numerator:             %s (%d)".dim(), _pretty(numerator), numerator);
+                console.log(" - currentShares:         %d".dim(), currentShares);
+            }
+
+            console.log("=newDSF=".yellow().dim());
+        } 
+        
+        // uint totalDepositShares = state.prevDepositShares + state.addedShares;
+        // uint totalWithdrawable = state.dsf.calcWithdrawable(totalDepositShares, state.operatorMaxMag);
+        // console.log(" - totalDepositShares:     %d", totalDepositShares);
+        // console.log(" - totalWithdrawable:      %d", totalWithdrawable);
+        
+        // console.log(" - operatorMaxMag:     %s (%d)", _pretty(state.operatorMaxMag), state.operatorMaxMag);
+        if (state.dsf._scalingFactor < 1e15) {
+            console.log(
+                " - DSF:                   %s (%d)".yellow(),
+                _pretty(state.dsf._scalingFactor), 
+                state.dsf._scalingFactor
+            );
+        } else if (state.dsf._scalingFactor < 1e12) {
+            console.log(
+                " - DSF:                   %s (%d)".red(),
+                _pretty(state.dsf._scalingFactor), 
+                state.dsf._scalingFactor
+            );
+        } else {
+            console.log(
+                " - DSF:                   %s (%d)".green(),
+                _pretty(state.dsf._scalingFactor), 
+                state.dsf._scalingFactor
+            );
+        }
+
+        if (state.prevScalingFactor < state.dsf._scalingFactor) {
+            uint increase = state.dsf._scalingFactor - state.prevScalingFactor;
+
+            console.log(
+                " -- increase: %s (%s)".green().dim(),
+                _prettyPerc({_old: state.dsf._scalingFactor, _new: state.prevScalingFactor}),
+                _pretty(increase)
+            );
+        } else if (state.prevScalingFactor == state.dsf._scalingFactor) {
+            console.log(" -- no change".yellow().dim());
+        } else {
+            uint decrease = state.prevScalingFactor - state.dsf._scalingFactor;
+            
+            console.log(
+                " -- decrease: %s (%s)".red().dim(), 
+                _prettyPerc({_new: state.dsf._scalingFactor, _old: state.prevScalingFactor}),
+                _pretty(decrease)
+            );
+        }
+
+        // console.log(" - 1 WAD:              %s (%d)".dim(), _pretty(WAD), WAD);
+    }
+
+    /// Expresses a % decrease with 3 decimals; e.g: 99.999%
+    function _prettyPerc(uint _new, uint _old) internal view returns (string memory) {
+        // Scale by 1e5 so we can extract 3 decimals (e.g. 99999 = 99.999%)
+        uint scaled = 1e5 - ((1e5 * _new) / _old);
+
+        uint whole = scaled / 1000;          // 99
+        uint decimal = scaled % 1000;        // 999
+
+        // Pad decimal to 3 digits
+        string memory paddedDecimal;
+        if (decimal < 10) {
+            paddedDecimal = string(abi.encodePacked("00", decimal.toString()));
+        } else if (decimal < 100) {
+            paddedDecimal = string(abi.encodePacked("0", decimal.toString()));
+        } else {
+            paddedDecimal = decimal.toString();
+        }
+
+        return string(
+            abi.encodePacked(
+                whole.toString(), ".", 
+                paddedDecimal, "%"
+            )
+        );
+    }
+
+    // pretty print a wad-based value, e.g. "4.23e17"
+    function _pretty(uint value) internal view returns (string memory) {
+        if (value == 0) {
+            return "0.00e0";
+        }
+
+        uint temp = value;
+        uint digits = 0;
+        while (temp >= 10) {
+            temp /= 10;
+            digits++;
+        }
+
+        // Extract first 5 significant digits (rounded down)
+        uint divisor = 10 ** (digits > 4 ? digits - 4 : 0);
+        uint leading = value / divisor; // e.g. 56789 for 56789112
+
+        // Format: x.yyyy
+        uint first = leading / 10000;            // x
+        uint second = (leading / 1000) % 10;     // y
+        uint third = (leading / 100) % 10;       // y
+        uint fourth = (leading / 10) % 10;       // y
+        uint fifth = leading % 10;               // y
+
+        return string(
+            abi.encodePacked(
+                first.toString(), ".", 
+                second.toString(), 
+                third.toString(), 
+                fourth.toString(), 
+                fifth.toString(),
+                "e", 
+                digits.toString()
+            )
+        );
+    }
+
+    /// @dev Mocks out math performed in AllocationManager.slashOperator. This examines precision drift
+    /// caused by slashing applied when the operator has a pending deallocation, as slashOperator applies
+    /// slashes equally to two differently sized values:
+    ///
+    /// uint64 slashedMagnitude = uint64(uint256(allocation.currentMagnitude).mulWadRoundUp(params.wadsToSlash[i]));
+    /// 
+    /// vs
+    /// 
+    /// uint64 slashedPending =
+    ///             uint64(uint256(uint128(-allocation.pendingDiff)).mulWadRoundUp(params.wadsToSlash[i]));
+    ///
+    /// The goal was to determine how precision drift impacts an operator's max magnitude over time. In conclusion,
+    /// any precision drift/rounding that occurs causes the operator to have _less_ max magnitude than they should,
+    /// reducing the ability of an attacker to leverage magnitude for an attack. We can rule out pending deallocations 
+    /// when considering slash/redistro attacks.
+    function test_deallocMath(
+        uint64 maxMag,
+        uint64 curMag, 
+        uint64 pendDealloc, 
+        uint8 slashMantissa, 
+        uint8 slashExponent,
+        uint8 vMod
+    ) public rand(0) {
+        maxMag = uint64(bound(maxMag, 2, 1e18));
+        curMag = uint64(bound(curMag, 1, maxMag));
+        pendDealloc = uint64(bound(pendDealloc, 1, curMag));
+
+        // Slashes are XeY +/- 1
+        slashMantissa = uint8(bound(slashMantissa, 1, 9));
+        slashExponent = uint8(bound(slashExponent, 0, 17));
+        vMod = uint8(bound(vMod, uint(type(ValueMod).min), uint(type(ValueMod).max)));
+
+        mag = Magnitude({
+            max: maxMag,
+            cur: curMag,
+            available: maxMag - curMag,
+            pendDealloc: pendDealloc
+        });
+
+        slash = Slash({
+           mantissa: slashMantissa,
+           exponent: slashExponent,
+           vMod: ValueMod(vMod)
+        });
+
+        _printMagInfo();
+
+        for (uint i = slashExponent; i > 0; i--) {
+            _doSlash();
+            _printMagInfo();
+
+            slash.exponent--;
+        }
+
+        revert();
+    }
+
+    function _doSlash() internal {
+        console.log("");
+        console.log("===Slash Info===".magenta());
+
+        uint wadsToSlash = uint(slash.mantissa) * 10 ** uint(slash.exponent);
+        if (slash.vMod == ValueMod.SUB && wadsToSlash > 1) {
+            wadsToSlash--;
+            console.log(" - wadsToSlash: %de%d-1 (%d)", slash.mantissa, slash.exponent, wadsToSlash);
+        } else if (slash.vMod == ValueMod.ADD && wadsToSlash < uint(WAD)) {
+            wadsToSlash++;
+            console.log(" - wadsToSlash: %de%d+1 (%d)", slash.mantissa, slash.exponent, wadsToSlash);
+        } else {
+            console.log(" - wadsToSlash: %de%d (%d)", slash.mantissa, slash.exponent, wadsToSlash);
+        }
+
+        // Apply the same slashing to current allocation and pending deallocation
+        uint64 slashedMagnitude = uint64(SlashingLib.mulWadRoundUp(mag.cur, wadsToSlash));
+        uint64 slashedPending = uint64(SlashingLib.mulWadRoundUp(mag.pendDealloc, wadsToSlash));
+
+        // Check to see if rounding occurred
+        bool sMRounding = SlashingLib.mulWad(mag.cur, wadsToSlash) != slashedMagnitude;
+        bool sPRounding = SlashingLib.mulWad(mag.pendDealloc, wadsToSlash) != slashedPending;
+        console.log(" - slashedMagnitude: %d (rounding: %s)", slashedMagnitude, sMRounding ? "true".magenta() : "false");
+        console.log(" - slashedPending:   %d (rounding: %s)", slashedPending, sPRounding ? "true".magenta() : "false");
+
+        // Update magnitude info according to slash
+        mag.max -= slashedMagnitude;
+        mag.cur -= slashedMagnitude;
+        mag.available = mag.max - mag.cur;
+        mag.pendDealloc -= slashedPending;
+
+        // Simulate applying deallocation and guage how much magnitude the operator is now able to allocate
+        // uint64 newAvailable = mag.available + mag.pendDealloc;
+        // uint64 newCurMag = mag.cur - mag.pendDealloc;
+        // uint64 newMaxMag = newAvailable + newCurMag;
+        uint64 newCurMag = mag.cur - mag.pendDealloc;
+        uint64 newAvailable = mag.max - newCurMag;
+        uint64 effectiveMaxMag = newAvailable + newCurMag;
+
+        console.log(" - after deallocation:".yellow());
+        console.log(" -- new cur mag:     ", newCurMag);
+        console.log(" -- new available:   ", newAvailable);
+
+        if (mag.max == effectiveMaxMag) {
+            console.log(" -- max mag loss: %s", "none".green());
+        } else if (mag.max > effectiveMaxMag) {
+            console.log(
+                " -- max mag loss: %s (%d)", 
+                "lost magnitude".yellow(),
+                mag.max - effectiveMaxMag
+            );
+
+            revert("lossy");
+        } else {
+            console.log(
+                " -- max mag loss: %s (%d)", 
+                "gained magnitude".red(),
+                effectiveMaxMag - mag.max
+            );
+
+            revert("gain");
+        }
+    }
+
+    function _printMagInfo() internal {
+        console.log("");    
+        console.log("===Magnitude Info===".cyan());
+
+        console.log(" - initial max mag:  ", WAD);
+        console.log(" - max magnitude:    ", mag.max);
+        console.log(" -- available:       ", mag.available);
+        console.log(" -- allocated:       ", mag.cur);
+        console.log(" -- pending dealloc: ", mag.pendDealloc);
+    }
+}
\ No newline at end of file

From 4b3d165ff4fe7247fd210ec42579e934dda57836 Mon Sep 17 00:00:00 2001
From: wadealexc <pragma-services@proton.me>
Date: Wed, 25 Jun 2025 15:16:31 +0000
Subject: [PATCH 2/2] test(wip): scratch space for rounding analysis and plots

---
 foundry.toml                                  |    2 +-
 src/test/integration/iterations.json          | 1103 ----------
 src/test/integration/iterations2.json         | 1014 ---------
 src/test/integration/output-example.json      |   21 +
 src/test/integration/output.json              | 1936 ++++-------------
 src/test/integration/params.toml              |  112 +-
 .../tests/RoundingDeallocation.t.sol          | 1189 +++++++---
 7 files changed, 1468 insertions(+), 3909 deletions(-)
 delete mode 100644 src/test/integration/iterations.json
 delete mode 100644 src/test/integration/iterations2.json
 create mode 100644 src/test/integration/output-example.json

diff --git a/foundry.toml b/foundry.toml
index 62bce3cf12..ec7fffe2d1 100644
--- a/foundry.toml
+++ b/foundry.toml
@@ -81,7 +81,7 @@
     fs_permissions = [{ access = "read-write", path = "./"}]
 
     gas_limit = "18446744073709551615" # 2^64-1
-    memory_limit = 1073741824
+    memory_limit = 9223372036854775807 # 2^63-1
 
 [profile.default.fmt]
     # Single-line vs multi-line statement blocks
diff --git a/src/test/integration/iterations.json b/src/test/integration/iterations.json
deleted file mode 100644
index 05817a2aab..0000000000
--- a/src/test/integration/iterations.json
+++ /dev/null
@@ -1,1103 +0,0 @@
-[
-    998993963782696177,
-      996984924623115577,
-      994979919678714859,
-      992978936810431293,
-      990981963927855711,
-      988988988988988988,
-      987000000000000000,
-      986013986013986013,
-      984031936127744510,
-      982053838484546360,
-      980079681274900398,
-      978109452736318407,
-      976143141153081510,
-      974180734856007944,
-      972222222222222222,
-      970267591674925668,
-      968316831683168316,
-      966369930761622156,
-      964426877470355731,
-      962487660414610069,
-      960552268244575936,
-      958620689655172413,
-      956692913385826771,
-      954768928220255653,
-      952848722986247544,
-      950932286555446516,
-      949019607843137254,
-      947110675808031341,
-      945205479452054794,
-      943304007820136852,
-      941406250000000000,
-      940487804878048780,
-      938596491228070175,
-      936708860759493670,
-      934824902723735408,
-      932944606413994169,
-      931067961165048543,
-      929194956353055286,
-      927325581395348837,
-      925459825750242013,
-      923597678916827852,
-      921739130434782608,
-      919884169884169884,
-      918032786885245901,
-      916184971098265895,
-      914340712223291626,
-      912500000000000000,
-      911623439000960614,
-      909788867562380038,
-      907957813998082454,
-      906130268199233716,
-      904306220095693779,
-      902485659655831739,
-      900668576886341929,
-      898854961832061068,
-      897044804575786463,
-      895238095238095238,
-      893434823977164605,
-      891634980988593155,
-      889838556505223171,
-      888045540796963946,
-      886255924170616113,
-      884469696969696969,
-      882686849574266792,
-      880907372400756143,
-      879131255901794145,
-      877358490566037735,
-      875589066918001885,
-      873822975517890772,
-      872060206961429915,
-      870300751879699248,
-      868544600938967136,
-      866791744840525328,
-      865042174320524835,
-      863295880149812734,
-      861552853133769878,
-      859813084112149532,
-      858076563958916900,
-      856343283582089552,
-      854613233923578751,
-      852886405959031657,
-      851162790697674418,
-      849442379182156133,
-      847725162488393686,
-      846011131725417439,
-      844300278035217794,
-      842592592592592592,
-      840888066604995374,
-      839186691312384473,
-      837488457987072945,
-      835793357933579335,
-      834101382488479262,
-      832412523020257826,
-      830726770929162833,
-      829044117647058823,
-      827364554637281910,
-      825688073394495412,
-      824014665444546287,
-      822344322344322344,
-      820677035681610247,
-      819012797074954296,
-      817351598173515981,
-      815693430656934306,
-      814038286235186873,
-      812386156648451730,
-      810737033666969972,
-      809090909090909090,
-      807447774750227066,
-      805807622504537205,
-      804170444242973708,
-      802536231884057971,
-      800904977375565610,
-      799276672694394213,
-      797651309846431797,
-      796028880866425992,
-      794409377817853922,
-      792792792792792792,
-      791179117911791179,
-      789568345323741007,
-      787960467205750224,
-      786355475763016157,
-      784753363228699551,
-      783154121863799283,
-      781557743957027752,
-      779964221824686940,
-      778373547810545129,
-      776785714285714285,
-      775200713648528099,
-      773618538324420677,
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\ No newline at end of file
diff --git a/src/test/integration/iterations2.json b/src/test/integration/iterations2.json
deleted file mode 100644
index 6f8dc10e71..0000000000
--- a/src/test/integration/iterations2.json
+++ /dev/null
@@ -1,1014 +0,0 @@
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\ No newline at end of file
diff --git a/src/test/integration/output-example.json b/src/test/integration/output-example.json
new file mode 100644
index 0000000000..5149609cc4
--- /dev/null
+++ b/src/test/integration/output-example.json
@@ -0,0 +1,21 @@
+{
+  "1e3_max_mag": {
+    "0%_in_withdrawal_queue": {
+
+    },
+    "00_001%_in_withdrawal_queue": {
+
+    },
+    "10%_in_withdrawal_queue": {
+
+    },
+    "50%_in_withdrawal_queue": {
+
+    },
+    "90%_in_withdrawal_queue": {
+
+    },
+    "99_999%_in_withdrawal_queue": {},
+    "100%_in_withdrawal_queue": {}
+  }
+}
\ No newline at end of file
diff --git a/src/test/integration/output.json b/src/test/integration/output.json
index 2ddb6c640b..742fa38a35 100644
--- a/src/test/integration/output.json
+++ b/src/test/integration/output.json
@@ -1,1521 +1,421 @@
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+    "10%_in_withdrawal_queue": {},
+    "50%_in_withdrawal_queue": {},
+    "90%_in_withdrawal_queue": {},
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+    }
   }
 }
\ No newline at end of file
diff --git a/src/test/integration/params.toml b/src/test/integration/params.toml
index 5f4b9310c9..7351a6cf0e 100644
--- a/src/test/integration/params.toml
+++ b/src/test/integration/params.toml
@@ -1,12 +1,110 @@
-printLast = 5
-printEvery = 1
-writeJSON = 0
+# 1e18 = 1000000000000000000
 
-prevDepositShares = 496
+## max extract
+# operatorShares = 10000000000000000000000000 # 1e18
+operatorSharesExp = 32
+# wadsToSlash = 1000000000000000000 # 1e18
+# wadsToSlash = 950000000000000000
+# wadsToSlash = 1000000000 # 1e9
+wadsToSlash = 500000000000000000
+
+
+## scratch
+numIterations = 100000
+# 0: _randomS
+# 1: _randomD
+# 2: _contrivedS
+# 3: _contrivedD
+genMethod = 3
+contrivedShares = 1000000000000000000 # 1e18
+contrivedDiff = 900000000000000000 # 9e17
+
+prevDepositShares = 10
 iterations = 0
 
 startDSF = 1000000000000000000
-startShares = 1
-startSharesToAdd = 2
+startShares = 100
+startSharesToAdd = 1
 maxMagDecrease = 0
-contIterations = 3
\ No newline at end of file
+contIterations = 1000
+
+fuzzRuns = 100000
+sequenceLength = 106
+
+seqStartDSF = 1000000000000000000
+seqStartShares = 1000000
+
+# Operations:
+# 0 -> deposit `amount` shares
+# 1 -> queue withdrawal `amount` shares
+# 2 -> continue previous operation `amount` times
+# 3 -> continue previous two operations `amount` times
+## Original
+[[sequence]]
+amount = 1
+operation = 0
+
+[[sequence]]
+amount = 1000011
+operation = 2
+
+[[sequence]]
+amount = 1
+operation = 0
+
+[[sequence]]
+amount = 1
+operation = 0
+
+[[sequence]]
+amount = 1
+operation = 0
+
+[[sequence]]
+amount = 1
+operation = 0
+
+[[sequence]]
+amount = 1
+operation = 0
+
+# output instructions for all tests
+[init]
+printEvery = 3
+printLast = 4
+writeJSON = true
+writeLocation = "src/test/integration/output.json"
+
+# prefaced a_, b_, because foundry's TOML -> struct conversion depends on alphabetical order
+
+[generate]
+a_totalShares = 100
+b_wadsInWithdrawalQueue = 1000000000000000000
+# b_wadsInWithdrawalQueue = 0
+c_maxMagnitudeExp = 18
+d_numDataPoints = 100
+
+# Plot/Line/Labels
+m_plotName = "1e3_max_mag"
+n_lineLabel = "100%_in_withdrawal_queue"
+
+# File IO
+t_writeToFile = true
+u_writeLocationBase = "src/test/integration/"
+v_fileName = "output.json"
+
+# 00_001 run
+# [generate]
+# a_totalShares = 1000000000000000000 # 1e18
+# b_wadsInWithdrawalQueue = 1000
+# c_maxMagnitudeExp = 3
+# d_numDataPoints = 10
+
+# # Plot/Line/Labels
+# m_plotName = "1e3_max_mag"
+# n_lineLabel = "00_001%_in_withdrawal_queue"
+
+# # File IO
+# t_writeToFile = true
+# u_writeLocationBase = "src/test/integration/"
+# v_fileName = "output.json"
\ No newline at end of file
diff --git a/src/test/integration/tests/RoundingDeallocation.t.sol b/src/test/integration/tests/RoundingDeallocation.t.sol
index 074a78349b..337843971f 100644
--- a/src/test/integration/tests/RoundingDeallocation.t.sol
+++ b/src/test/integration/tests/RoundingDeallocation.t.sol
@@ -13,83 +13,621 @@ contract Integration_Rounding_Deallocation is IntegrationCheckUtils {
     using StdStyle for *;
     using Strings for *;
     using Math for *;
+    using SlashingLib for *;
+
+    uint printLast = 3;
+    uint printEvery = 100;
+    bool writeJSON = false;
+    string writeLocation = "src/test/integration/output.json";
 
-    struct Magnitude {
-        uint64 max;
-        uint64 cur;
-        uint64 available;
-        uint64 pendDealloc;
+    struct InitTOML {
+        uint printEvery;
+        uint printLast;
+        bool writeJSON;
+        string writeLocation;
     }
 
-    enum ValueMod {
-        SUB,
-        NONE,
-        ADD
+    function _init() internal override {
+        string memory tomlRAW = cheats.readFile("src/test/integration/params.toml");
+        bytes memory data = vm.parseToml(tomlRAW, ".init");
+        InitTOML memory it = abi.decode(data, (InitTOML));
+
+        printLast = it.printLast;
+        printEvery = it.printEvery;
+        writeJSON = it.writeJSON;
+        writeLocation = it.writeLocation;
+
+        console.log("");
+        console.log("==Init==".magenta());
+
+        // console.log(" - printing final %d inputs", printLast);
+        // console.log(" - printing other inputs every %d iterations", printEvery);
+        if (writeJSON) {
+            console.log(" - writing to file: %s".green(), writeLocation);
+        } else {
+            console.log(" - writing to file: false");
+        }
     }
 
-    struct Slash {
-        uint8 mantissa;
-        uint8 exponent;
-        ValueMod vMod;
+    struct GenerateSettings {
+        // Initial run params
+        uint totalShares;
+        uint wadsInWithdrawalQueue;
+        uint64 maxMagnitude;
+        uint numDataPoints;
+
+        // Derived params
+        uint depositSharesToWithdraw;
+        uint operatorShares;
+        uint scaledShares;
+
+        // Plot/Line/Labels
+        string plotName;
+        string lineLabel;
+
+        // File IO
+        bool writeToFile;
+        string writeLocation;
     }
 
-    Magnitude mag;
-    Slash slash;
+    struct GenerateOutput {
+        uint[] x;
+        uint[] y;
+    }
 
-    using SlashingLib for *;
+    function test_Generate() public rand(0) {
+        GenerateSettings memory settings = _readGenerateTOML();
+
+        GenerateOutput memory data = GenerateOutput({
+            x: new uint[](settings.numDataPoints),
+            y: new uint[](settings.numDataPoints)
+        });
+
+        for (uint i = 0; i < settings.numDataPoints; i++) {
+            /// 3. Calc how much to slash, proportional to the number of 
+            uint wadsToSlash = (i + 1).mulDiv(WAD, settings.numDataPoints + 1);
+
+            /// 4. Commit offense and get slashed
+            uint64 slashedMagnitude = uint64(uint(settings.maxMagnitude).mulWadRoundUp(wadsToSlash));
+            uint64 newMaxMag = settings.maxMagnitude - slashedMagnitude;
+
+            /// 5. How much gets redistributed?
+            // From operator shares...
+            uint amountOpShares = settings.operatorShares.calcSlashedAmount({
+                prevMaxMagnitude: settings.maxMagnitude,
+                newMaxMagnitude: newMaxMag
+            });
+            // From withdrawal queue...
+            uint amountWQShares = settings.scaledShares.scaleForBurning({
+                prevMaxMagnitude: settings.maxMagnitude,
+                newMaxMagnitude: newMaxMag
+            });
+            // Total:
+            uint totalRedistributed = amountOpShares + amountWQShares;
+            if (totalRedistributed > settings.totalShares) {
+                revert("minted shares!!".red().bold());
+            }
+
+            // 6. Add points to data
+            data.x[i] = uint(slashedMagnitude);
+            data.y[i] = totalRedistributed;
+        }
+
+        _writeGenerateJSON(settings, data);
+
+        revert("finished".green().bold());
+    }
+
+    struct GenerateTOML {
+        uint totalShares;
+        uint wadsInWithdrawalQueue;
+        uint maxMagnitudeExp;
+        uint numDataPoints;
+        string plotName;
+        string lineLabel;
+        bool writeToFile;
+        string writeLocationBase;
+        string fileName;
+    }
+
+    function _readGenerateTOML() internal returns (GenerateSettings memory settings) {
+        string memory tomlRAW = cheats.readFile("src/test/integration/params.toml");
+        bytes memory data = vm.parseToml(tomlRAW, ".generate");
+        GenerateTOML memory gt = abi.decode(data, (GenerateTOML));
+        
+        settings = GenerateSettings({
+            totalShares: gt.totalShares,
+            wadsInWithdrawalQueue: gt.wadsInWithdrawalQueue,
+            maxMagnitude: uint64(10 ** gt.maxMagnitudeExp),
+            numDataPoints: gt.numDataPoints,
+            depositSharesToWithdraw: 0,
+            operatorShares: 0,
+            scaledShares: 0,
+            plotName: gt.plotName,
+            lineLabel: gt.lineLabel,
+            writeToFile: gt.writeToFile,
+            writeLocation: string.concat(gt.writeLocationBase, gt.fileName)
+        });
+
+        // Adjust/calculate
+        if (settings.numDataPoints > uint(settings.maxMagnitude)) {
+            settings.numDataPoints = uint(settings.maxMagnitude);
+        }
+
+        console.log("");
+        console.log("==Generate Settings==".magenta());
+
+        console.log(" plot: '%s'".yellow(), settings.plotName);
+        console.log(" line: '%s'".yellow(), settings.lineLabel);
+        if (settings.writeToFile) {
+            console.log(" - writing to file: %s".green(), settings.writeLocation);
+        } else {
+            console.log(" - writing to file: false".green().dim());
+        }
+
+        console.log("");
+        console.log("==Run Info==".magenta());
+
+        /// 1. depositIntoStrategy: Simulate a deposit of totalShares into operator with given magnitude
+        scratchDSF.reset();
+        scratchDSF.update({
+            prevDepositShares: 0,
+            addedShares: settings.totalShares,
+            slashingFactor: settings.maxMagnitude
+        });
+
+        /// 2. queueWithdrawal: Queue a proportion of deposit shares for withdrawal
+        // Amount of deposit shares to withdraw
+        settings.depositSharesToWithdraw = settings.totalShares.mulWad(settings.wadsInWithdrawalQueue);
+        // Amount to reduce operator's shares by
+        uint withdrawable_Mid = scratchDSF.calcWithdrawable(settings.depositSharesToWithdraw, settings.maxMagnitude);
+        settings.operatorShares = settings.totalShares - withdrawable_Mid;
+        // Scaled shares added to the withdrawal queue
+        settings.scaledShares = scratchDSF.scaleForQueueWithdrawal(settings.depositSharesToWithdraw);
+
+        
+        // console.log(" -- depositSh. to queue:   %s (%d)".dim().yellow().italic(), _pretty(settings.depositSharesToWithdraw), settings.depositSharesToWithdraw);
+        console.log(" - numDataPoints:          %d".dim().yellow(), settings.numDataPoints);
+        console.log(" - maxMagnitude:           %s (%d)".dim().yellow(), _pretty(settings.maxMagnitude), settings.maxMagnitude);
+        console.log(" - totalShares:            %s (%d)".dim().yellow(), _pretty(settings.totalShares), settings.totalShares);
+        console.log(" -- % in withdrawal queue: %s (raw wads: %d)".dim().yellow(), _prettyPerc(gt.wadsInWithdrawalQueue, 1e18), gt.wadsInWithdrawalQueue);
+        console.log(" -- operatorShares:        %s (%d)".dim().yellow(), _pretty(settings.operatorShares), settings.operatorShares);
+        console.log(" -- queuedShares (scaled): %s (%d)".dim().yellow(), _pretty(settings.scaledShares), settings.scaledShares);
+
+        console.log("");
+
+        return settings;
+    }
+
+    function _writeGenerateJSON(
+        GenerateSettings memory settings, 
+        GenerateOutput memory output
+    ) internal {
+        require(output.x.length == output.y.length, "length err");
+
+        if (!settings.writeToFile) return;
+
+        console.log("");
+        console.log(" writing output to file: %s...".green().dim(), settings.writeLocation);
+
+        // Serialize x and y points
+        string memory data = cheats.serializeUint(settings.lineLabel, "dataX", output.x);
+        data = cheats.serializeUint(settings.lineLabel, "dataY", output.y);
+
+        // Get key for which data will be replaced
+        string memory valueKey = string.concat(".", settings.plotName, ".", settings.lineLabel);
+        console.log(" overwriting existing value for key: %s".green().dim(), valueKey);
+
+        // Write to file
+        cheats.writeJson(data, settings.writeLocation, valueKey);
+        console.log(" done!\n".green());
+    }
+
+    function test_WTF(uint8 sharesExp, uint64 diff) public rand(0) {
+        // prevMM = uint64(bound(prevMM, 1, WAD));
+        // newMM = prevMM == 1 ? 0 : uint64(bound(newMM, 0, prevMM-1));
+        diff = uint64(bound(diff, 1, WAD));
+        // uint shares = uint(WAD / diff);
+        // shares > 2 ? shares-- : shares;
+        sharesExp = uint8(bound(sharesExp, 1, 32));
+        // uint shares = bound(shares, 10, 1e18);
+        uint shares = 10 ** sharesExp;
+
+        uint64 prevMM = WAD;
+        uint64 newMM = prevMM - uint64(diff);
+
+        console.log(" - shares:      %s (%d)", _pretty(shares), shares);
+        console.log(" - prevMM:      %s (%d)", _pretty(prevMM), prevMM);
+        console.log(" - newMM:       %s (%d)", _pretty(newMM), newMM);
+
+        uint opShares = shares.calcSlashedAmount(prevMM, newMM);
+        uint wqShares = shares.scaleForBurning(prevMM, newMM);
+
+        console.log(" - opShares:  %s (%d)", _pretty(opShares), opShares);
+        console.log(" - wqShares:  %s (%d)", _pretty(wqShares), wqShares);
+
+        assertEq(opShares, wqShares, "fail".green().bold());
+    }
+
+    uint OPERATOR_SHARES;
+    uint WADS_TO_SLASH;
+
+    struct Params {
+        // Random:
+        uint64 prevMM;
+        uint wadsInWQ;
+        // Derived:
+        uint64 newMM;
+        uint depositSharesToWithdraw;
+        uint operatorShares;
+        uint scaledShares;
+
+        // Derived - withdrawable:
+        uint dsf;
+        uint withdrawableStart;
+
+        // Results:
+        uint expectedRedistribution;
+        uint amountRedistributed;
+        uint completeWithdrawal;
+        uint withdrawRemaining;
+        uint completeExit;
+        uint totalWithdrawn;
+        uint totalMissing;
+        uint abs_Error;
+    }
+
+    DepositScalingFactor scratchDSF;
+    Params[] points;
+
+    uint min_Amt = type(uint).max;
+    uint max_Amt = 0;
+
+    function test_MaxExtract() public rand(0) {
+        _readExtractTOML();
+
+        // 3 different strategies to explore:
+        //
+        // 1. Minimize the amount the AVS can redistribute
+        // 2. Maximize the amount the operator can recover via queued withdrawals
+        // 3. Minimize the amount the operator can recover via queued withdrawals
+        // -- this last one is to simulate "operator griefing stakers"
+        //
+        // The idea is that "the operator expects a 10% slash", and sets up:
+        // - prevMM (their allocation)
+        // -- Might want to parameterize this somewhat, assuming AVSs don't accept
+        //    allocations below some size (MINIMUM_MAGNITUDE_ACCEPTED)
+        // - the amount of their assets in the withdrawal queue vs out (operatorShares vs queuedShares)
+        // - their DSF !? 
+        // -- we can lower this pretty easily... (but this would apply to 2, not 3)
+        // -- what if this starts with intentionally slashing themselves and depositing to get a positive DSF?
+
+        Params memory params;
+
+        for (uint i = 0; i < NUM_ITERATIONS; i++) {
+            scratchDSF.reset();
+
+            // Generate random params:
+            params.prevMM = uint64(cheats.randomUint(1, WAD));
+            params.wadsInWQ = cheats.randomUint(1, WAD);
+
+            {
+                /// Calc derived params:
+
+                /// 1. Deposit OPERATOR_SHARES into operator with max mag == prevMM
+                scratchDSF.update({
+                    prevDepositShares: 0,
+                    addedShares: OPERATOR_SHARES,
+                    slashingFactor: params.prevMM
+                });
+                params.dsf = scratchDSF._scalingFactor;
+                params.withdrawableStart = scratchDSF.calcWithdrawable(OPERATOR_SHARES, params.prevMM);
+
+                /// 2. Queue a proportion of the shares for withdrawal
+                params.depositSharesToWithdraw = OPERATOR_SHARES.mulWad(params.wadsInWQ);
+                // Amount to reduce operator's shares by
+                uint withdrawable_Mid = scratchDSF.calcWithdrawable(params.depositSharesToWithdraw, params.prevMM);
+                params.operatorShares = OPERATOR_SHARES - withdrawable_Mid;
+                // Amount we add to withdrawal queue (and withdrawal object)
+                params.scaledShares = scratchDSF.scaleForQueueWithdrawal(params.depositSharesToWithdraw);
+
+                /// 3. Commit offense and get slashed
+                uint64 slashedMagnitude = uint64(uint(params.prevMM).mulWadRoundUp(WADS_TO_SLASH));
+                params.newMM = params.prevMM - slashedMagnitude;           
+                params.expectedRedistribution = OPERATOR_SHARES.calcSlashedAmount(params.prevMM, params.newMM);
+            }
+
+            {
+                // How much actually gets redistributed?
+                uint amountOpShares = params.operatorShares.calcSlashedAmount(params.prevMM, params.newMM);
+                uint amountWQShares = params.scaledShares.scaleForBurning(params.prevMM, params.newMM);
+
+                params.amountRedistributed = amountOpShares + amountWQShares;
+            }
 
-    DepositScalingFactor dsf;
+            {
+                // How much can the operator withdraw by completing their existing withdrawal
+                params.completeWithdrawal = params.scaledShares.scaleForCompleteWithdrawal(params.newMM);
+            }
 
-    function test_DSF_Manip(uint scalingFactor, uint prevDepositShares, uint addedShares, uint slashingFactor) public rand(0) {
-        scalingFactor = bound(scalingFactor, 1, WAD);
-        prevDepositShares = bound(prevDepositShares, 0, uint(type(uint8).max));
-        addedShares = bound(addedShares, 0, uint(type(uint8).max));
-        slashingFactor = bound(slashingFactor, 1, 1e18);
+            {
+                // How much can the operator withdraw by withdrawing the remainder of their deposit shares?
+                uint remainingDepositShares = OPERATOR_SHARES - params.depositSharesToWithdraw;
+                uint scaleQWD = scratchDSF.scaleForQueueWithdrawal(remainingDepositShares);
 
-        dsf._scalingFactor = scalingFactor;
-        // prevDepositShares = 2;
-        // addedShares = 2;
-        // slashingFactor = 628157962353078290;
+                params.withdrawRemaining = scaleQWD.scaleForCompleteWithdrawal(params.newMM);
+            }
 
-        console.log("WAD:               ", uint(1e18));
-        console.log("PrevDepositShares: ", prevDepositShares);
-        console.log("AddedShares:       ", addedShares);
-        console.log("slashingFactor:    ", slashingFactor);
-        console.log("scalingFactor:     ", dsf._scalingFactor);
+            {
+                /// Calculate totals
+                // 1. Amount exited by the operator
+                params.completeExit = params.completeWithdrawal + params.withdrawRemaining;
+                // 2. Amount withdrawn (redistribution + operator exit)
+                params.totalWithdrawn = params.amountRedistributed + params.completeExit;
+                require(params.totalWithdrawn <= OPERATOR_SHARES, "end > start");
+                // 3. Amount missing after all's said and done
+                params.totalMissing = OPERATOR_SHARES - params.totalWithdrawn;
+            }
 
-        dsf.update(prevDepositShares, addedShares, slashingFactor);
+            // Error in amountRedistributed
+            if (params.amountRedistributed < params.expectedRedistribution) {
+                params.abs_Error = params.expectedRedistribution - params.amountRedistributed;
+            } else {
+                params.abs_Error = params.amountRedistributed - params.expectedRedistribution;
+            }
 
-        console.log("newScalingFactor:  ", dsf._scalingFactor);
+            // Check results - if we have a new local min/max, push to results list
+            // if (params.abs_Error > max_Amt) {
+            //     max_Amt = params.abs_Error;
+            //     points.push(params);
+            // }
+
+            // if (params.amountRedistributed > max_Amt) {
+            //     max_Amt = params.amountRedistributed;
+            //     points.push(params);
+            // } 
+
+            if (params.amountRedistributed < min_Amt) {
+                min_Amt = params.amountRedistributed;
+                points.push(params);
+            } 
+        }
 
-        assertTrue(dsf._scalingFactor >= scalingFactor, "scalingFactor decreased!");
-        assertTrue(dsf._scalingFactor != 0, "scalingFactor hit 0!");
+        // Print results:
+        for (uint i = 0; i < points.length; i++) {
+            params = points[i];
+
+            console.log("");
+            console.log("(point %d)".dim().italic(), i);
+            
+            console.log(" - prevMM => newMM                   %s => %s".dim(), _pretty(params.prevMM), _pretty(params.newMM));
+            console.log(" - prev | new                        %d | %d".dim(), params.prevMM, params.newMM);
+            console.log(" - % in withdrawal queue:     %s".dim(), _prettyPerc(WAD - params.wadsInWQ, WAD));
+
+            // Deposit info
+            console.log(" - Deposit Shares: ".dim().yellow());
+            uint remainingDepositShares = OPERATOR_SHARES - params.depositSharesToWithdraw;
+            console.log(" -- queued deposit shares:    %s (%d)".dim().italic(), _pretty(params.depositSharesToWithdraw), params.depositSharesToWithdraw);
+            console.log(" -- remaining deposit shares: %s (%d)".dim().italic(), _pretty(remainingDepositShares), remainingDepositShares);
+            
+            // Operator/Queue info
+            console.log(" - Operator/Queue Shares: ".dim().yellow());
+            console.log(" -- new operator shares:      %s (%d)".dim().italic(), _pretty(params.operatorShares), params.operatorShares);
+            console.log(" -- scaledShares (queued):    %s (%d)".dim().italic(), _pretty(params.scaledShares), params.scaledShares);
+
+            // Results:
+            console.log(" - Results: ".dim().magenta());
+            console.log(" -- expected redistribution:  %s (%d)".green(), _pretty(params.expectedRedistribution), params.expectedRedistribution); 
+            console.log(" -- redistributed (avs):      %s (%d)".yellow(), _pretty(params.amountRedistributed), params.amountRedistributed);
+            console.log(" -- withdrawn (operator):     %s (%d)".yellow(), _pretty(params.completeExit), params.completeExit);
+            console.log(" -- total assets (end):       %s (%d)".yellow(), _pretty(params.totalWithdrawn), params.totalWithdrawn);
+            // Where'd the rounding error go?
+            int excessRedistribution = int(params.amountRedistributed) - int(params.expectedRedistribution);
+            if (excessRedistribution > 0) {
+                console.log(" -- avs gets extra:           %s (%d)".magenta(), _pretty(uint(excessRedistribution)), uint(excessRedistribution));
+            } else {
+                console.log(" -- dust lost:                %s (%d)".cyan(), _pretty(uint(-excessRedistribution)), uint(-excessRedistribution));
+            }
+            console.log(" -- missing assets:           %s (%d)".red(), _pretty(params.totalMissing), params.totalMissing);
+            console.log(" -- absolute error:           %s (%d)".red(), _pretty(params.abs_Error), params.abs_Error);
+        }
+
+        console.log("");
+        console.log("==Setup==".green());
+        console.log(" - NUM_ITERATIONS:          %d", NUM_ITERATIONS);
+        console.log(" - START ASSETS:            %s (%d)", _pretty(OPERATOR_SHARES), OPERATOR_SHARES);
+        console.log(" - SLASH PERCENT:           %s", _prettyPerc(WAD - WADS_TO_SLASH, WAD));
+        
+        // console.log(" - EXPECTED REDISTRIBUTION: %s (%d)".green(), _pretty(expectedRedistribution), expectedRedistribution);
+
+        revert("finished".green());
+    }
+
+    uint NUM_ITERATIONS = 0;
+    uint GENERATE_METHOD = 0;
+    uint C_NUM_SHARES = 0;
+    uint C_MAG_DIFF = 0;
+
+    struct MaxInput {        
+        uint slashedFromOpShares;
+
+        uint shares;
+        uint64 prevMM;
+        uint64 newMM;
+    }
+
+    function _randomS() internal returns (uint shares, uint diff) {
+        shares = cheats.randomUint(1, WAD);
+
+        diff = uint(WAD) / shares;
+        require(shares * diff < uint(WAD), "condition not met");
+    }
+
+    function _randomD() internal returns (uint shares, uint diff) {
+        diff = cheats.randomUint(1, WAD);
+
+        shares = uint(WAD) / diff;
+        require(shares * diff < uint(WAD), "condition not met");
+    }
+
+    function _contrivedS() internal returns (uint shares, uint diff) {
+        shares = C_NUM_SHARES;
+
+        diff = uint(WAD) / shares;
+        require(shares * diff < uint(WAD), "condition not met");
+    }
+
+    function _contrivedD() internal returns (uint shares, uint diff) {
+        diff = C_MAG_DIFF;
+
+        shares = uint(WAD) / diff;
+        if (shares * diff == uint(WAD)) shares--;
+
+        require(shares * diff < uint(WAD), "condition not met");
+    }
+
+    function _genInputs() internal returns (uint, uint) {
+        return
+            GENERATE_METHOD == 0 ? _randomS() :
+            GENERATE_METHOD == 1 ? _randomD() :
+            GENERATE_METHOD == 2 ? _contrivedS() :
+            GENERATE_METHOD == 3 ? _contrivedD() :
+            (0, 0);
+    }
+
+    function test_Temp() public rand(0) {
+        uint operatorShares = 3;
+        uint withdrawalQueueShares = 7;
+
+        uint64 prevMaxMag = 3;
+        uint64 newMaxMag = 2;
+
+        uint slashFromOpShares = operatorShares.calcSlashedAmount(prevMaxMag, newMaxMag);
+        uint slashFromWQ = withdrawalQueueShares.scaleForBurning(prevMaxMag, newMaxMag);
+
+        console.log("slashFromOP: %d", slashFromOpShares);
+        console.log("slashFromWQ: %d", slashFromWQ);
+
+        revert();
+    }
+
+    function test_Scratch() public rand(0) {
+        _readScratchTOML();
+
+        uint idx;
+        MaxInput[] memory max = new MaxInput[](NUM_ITERATIONS);
+        
+        // Generate shares, prevMM, and newMM s.t.
+        //
+        // shares * (prevMM - newMM) < WAD
+        //
+        // Given scaleForBurning, this should guarantee that shares slashed from withdrawal queue 
+        // are zero.
+        //
+        // ... then we check how much is slashed from the operator's shares in the same scenario.
+        // The maximum slashed from the operator's shares is the maximum amount we can "avoid"
+        // slashing by queueing a withdrawal.
+        for (uint i = 0; i < NUM_ITERATIONS; i++) {
+            (uint shares, uint diff) = _genInputs();
+
+            // uint64 prevMM = WAD;
+            // uint64 newMM = WAD - uint64(diff);
+
+            uint64 prevMM = diff == WAD ? uint64(diff) : uint64(cheats.randomUint(diff, WAD));
+            uint64 newMM = prevMM - uint64(diff);
+
+            // uint64 prevMM = diff == 1 ? 1 : uint64(cheats.randomUint(1, diff));
+            // uint64 newMM = prevMM == 1 ? 0 : uint64(cheats.randomUint(0, prevMM-1));
+
+            uint slashedFromOpShares = shares.calcSlashedAmount(prevMM, newMM);
+            uint slashedFromWQueue = shares.scaleForBurning(prevMM, newMM);
+            require(slashedFromWQueue == 0, "slashed nonzero amt from wq");
+
+            if (slashedFromOpShares > max[idx].slashedFromOpShares) {
+                idx++;
+                max[idx].slashedFromOpShares = slashedFromOpShares;
+                max[idx].shares = shares;
+                max[idx].prevMM = prevMM;
+                max[idx].newMM = newMM;
+            }
+        }
+
+        // Manually correct length before printing max inputs
+        assembly { mstore(max, add(1, idx)) }
+
+        for (uint i = 0; i < max.length; i++) {
+            MaxInput memory m = max[i];
+            uint64 diff = m.prevMM - m.newMM;
+
+            console.log("");
+            console.log("(# %d)".dim().italic(), i);
+            console.log("Max slashed from op shares:  %s (%d)".yellow(), _pretty(m.slashedFromOpShares), m.slashedFromOpShares);
+            console.log(" - input shares:             %s (%d)".dim(), _pretty(m.shares), m.shares);
+            console.log(" - magnitude diff:           %s (%d)".dim(), _pretty(diff), diff);
+            console.log(" -- prevMM:                  %s (%d)".dim().italic(), _pretty(m.prevMM), m.prevMM);
+            console.log(" -- newMM:                   %s (%d)".dim().italic(), _pretty(m.newMM), m.newMM);
+        }
+
+        revert("finished".green().bold());
+    }
+
+    function _readExtractTOML() internal {
+        string memory tomlRAW = cheats.readFile("src/test/integration/params.toml");
+
+        NUM_ITERATIONS = cheats.parseTomlUint(tomlRAW, ".numIterations");
+        // OPERATOR_SHARES = cheats.parseTomlUint(tomlRAW, ".operatorShares");
+        OPERATOR_SHARES = (10 ** cheats.parseTomlUint(tomlRAW, ".operatorSharesExp"));
+        WADS_TO_SLASH = cheats.parseTomlUint(tomlRAW, ".wadsToSlash");
+    }
+
+    function _readScratchTOML() internal {
+        string memory tomlRAW = cheats.readFile("src/test/integration/params.toml");
+
+        NUM_ITERATIONS = cheats.parseTomlUint(tomlRAW, ".numIterations");
+        GENERATE_METHOD = cheats.parseTomlUint(tomlRAW, ".genMethod");
+        C_NUM_SHARES = cheats.parseTomlUint(tomlRAW, ".contrivedShares");
+        C_MAG_DIFF = cheats.parseTomlUint(tomlRAW, ".contrivedDiff");
+
+        console.log("");
+        console.log("==Setup==".green());
+        console.log(" - NUM_ITERATIONS: %d", NUM_ITERATIONS);
+        console.log(" - GENERATE_METHOD: %d", GENERATE_METHOD);
+
+        if (GENERATE_METHOD == 2) {
+            console.log(" -- CONTRIVED_SHARES:    %s (%d)", _pretty(C_NUM_SHARES), C_NUM_SHARES);
+        } else if (GENERATE_METHOD == 3) {
+            console.log(" -- CONTRIVED_DIFF:      %s (%d)", _pretty(C_MAG_DIFF), C_MAG_DIFF);
+        }
     }
 
     struct DSFState {
         DepositScalingFactor dsf;
-        uint prevScalingFactor;
+        uint depositShares;
         uint operatorMaxMag;
+
+        uint prevScalingFactor;
         uint prevDepositShares;
         uint addedShares;
     }
 
     DSFState state;
-    DepositScalingFactor dummy;
 
-    bool writeJSON = false;
+    uint[] DSFs;
 
-    function _init() internal override {
-        string memory tomlRAW = cheats.readFile("src/test/integration/params.toml");
+    enum Operation {
+        DEPOSIT,
+        WITHDRAW,
+        REPEAT_PREV,
+        REPEAT_PREV2
+    }
 
-        printLast = cheats.parseTomlUint(tomlRAW, ".printLast");
-        printEvery = cheats.parseTomlUint(tomlRAW, ".printEvery");
-        writeJSON = cheats.parseTomlUint(tomlRAW, ".writeJSON") == 1;
-        console.log("Printing final %d inputs", printLast);
-        console.log("Printing other inputs every %d iterations", printEvery);
-        console.log("Writing to file: %s", writeJSON ? "true" : "false");
+    struct Action {
+        uint amount;
+        Operation op;
     }
 
-    uint[] DSFs;
+    Action prev;
+    Action prevprev;
 
     function test_DSF_DownToZero() public rand(0) {
         (uint prevDepositShares, uint iterations) = _readTOML();
@@ -127,36 +665,18 @@ contract Integration_Rounding_Deallocation is IntegrationCheckUtils {
     }
 
     function test_DSF_FindOptimalIterations() public rand(0) {
-        (
-            uint startDSF,
-            uint startShares, 
-            uint startIteration,
-            uint contIterations
-        ) = _readFindContinuationTOML();
-        finalIteration = startIteration + contIterations;
-        // printInputs = true;
-
-        console.log("Start Balance: %s (%d)", _pretty(startShares), startShares);
-        // console.log("Iterations: %d", iterations);
+        uint contIterations = _readFindOptimalTOML();
 
-        state.dsf._scalingFactor = startDSF;
-        state.prevScalingFactor = startDSF;
-        state.operatorMaxMag = WAD-1;
-        state.addedShares = 1;
-        state.prevDepositShares = startShares;
-
-        for (uint i = startIteration; i < finalIteration; i++) {
-            _print(i);
-
-            state.prevScalingFactor = state.dsf._scalingFactor;
-
-            state.dsf.update({
-                prevDepositShares: state.prevDepositShares,
-                addedShares: state.addedShares,
-                slashingFactor: state.operatorMaxMag
+        for (uint i = 0; i < finalIteration; i++) {
+            Action memory action = Action({
+                op: Operation.DEPOSIT,
+                amount: 1                
             });
+            
+            state.prevScalingFactor = state.dsf._scalingFactor;
+            state.prevDepositShares = state.depositShares;
 
-            // if (i + 1 == 104) printInputs = true;
+            _applyAction(action);
 
             // Iterate until decrease is around 50%
             uint scaledDecrease = 1e5 - ((1e5 * state.dsf._scalingFactor) / state.prevScalingFactor);
@@ -166,14 +686,133 @@ contract Integration_Rounding_Deallocation is IntegrationCheckUtils {
                 finalIteration = i + printLast;
             }
 
-            state.prevDepositShares += state.addedShares;
+            _print(action, i+1);
         }
 
-        _print(finalIteration);
-
         revert();
     }
 
+    function test_DSF_FuzzOptimalSequence() public rand(0) {
+        (
+            DSFState memory startState,
+            uint fuzzRuns,
+            uint sequenceLength
+        ) = _readFuzzSequenceTOML();
+
+        uint minDSF_Overall = WAD;
+        Action[] memory best = new Action[](sequenceLength);
+
+        Action[] memory actions = new Action[](sequenceLength);
+        uint finalActionIdx;
+
+        for (uint i = 0; i < fuzzRuns; i++) {
+            // One full run:
+            
+            // Reset start state
+            state.dsf._scalingFactor = startState.dsf._scalingFactor;
+            state.depositShares = startState.depositShares;
+            state.operatorMaxMag = startState.operatorMaxMag;
+
+            state.prevScalingFactor = startState.prevScalingFactor;
+            state.prevDepositShares = startState.prevDepositShares;
+
+            // Track lowest DSF within a given run, in case the final iterations kill a good run
+            uint minDSF_WithinRun = state.dsf._scalingFactor;
+            uint minDSF_Location = 0;
+
+            for (uint j = 0; j < actions.length; j++) {
+                state.prevScalingFactor = state.dsf._scalingFactor;
+                state.prevDepositShares = state.depositShares;
+
+                // Select [DEPOSIT,WITHDRAW]
+                // - Start with a deposit
+                // - Never withdraw twice in a row (pointless expansion of search space)
+                // - Only withdraw up to the amount previously deposited - 1
+                //
+                // TODO - consider making withdraw a 1:4?
+                // I have no idea what ratio would be good... maybe we do exhaustive rather than fuzzing?
+                actions[j].op = Operation.DEPOSIT;
+                // if (j == 0 || prev.amount >= 2 || prev.op == Operation.WITHDRAW) {
+                //     actions[j].op = Operation.DEPOSIT;
+                // } else {
+                //     actions[j].op = cheats.randomBool() ? Operation.DEPOSIT : Operation.WITHDRAW;
+                // }
+
+                // Select AMOUNT
+                // - deposit amounts less than sequence length
+                // - withdraw amounts less than total balance
+                actions[j].amount = cheats.randomUint(1, 2);
+                // if (actions[j].op == Operation.DEPOSIT) {
+                //     actions[j].amount = sequenceLength == 1 ? 1 : cheats.randomUint(1, sequenceLength-j);
+                // } else {
+                //     actions[j].amount = prev.amount == 1 ? 1 : cheats.randomUint(1, prev.amount-1);
+                // }
+
+                // Apply selected action, updating DSF
+                _applyAction(actions[j]);
+
+                if (state.dsf._scalingFactor < minDSF_WithinRun) {
+                    minDSF_WithinRun = state.dsf._scalingFactor;
+                    minDSF_Location = j;
+                }
+
+                prev = actions[j];
+            }
+
+            // If we found a new low, update
+            if (minDSF_WithinRun < minDSF_Overall) {
+                minDSF_Overall = minDSF_WithinRun;
+                console.log("Found new minimum DSF: %s (%d)".dim(), _pretty(minDSF_Overall), minDSF_Overall);
+                console.log("- Iterations: %d".dim().italic(), minDSF_Location+1);
+                _copySeq({ from: actions, to: best, finalActionIdx: minDSF_Location });
+                finalActionIdx = minDSF_Location;
+                // _printSeq(best, minDSF_Location, minDSF_WithinRun);
+            } else if (minDSF_WithinRun == minDSF_Overall && minDSF_Location < finalActionIdx) {
+                minDSF_Overall = minDSF_WithinRun;
+                console.log("Found faster DSF drop for DSF: %s (%d)".dim(), _pretty(minDSF_Overall), minDSF_Overall);
+                console.log("- (%d => %d)".dim().italic(), finalActionIdx+1, minDSF_Location+1);
+                _copySeq({ from: actions, to: best, finalActionIdx: minDSF_Location });
+                finalActionIdx = minDSF_Location;
+                // _printSeq(best, minDSF_Location, minDSF_WithinRun);
+            }
+        }
+
+        _printSeq(best, finalActionIdx, minDSF_Overall);
+
+        revert("finished");
+    }
+
+    function _printSeq(Action[] memory actions, uint finalActionIdx, uint minDSF) internal {
+        console.log("==Best Sequence==".yellow());
+        console.log("- iterations: %d".dim(), finalActionIdx+1);
+        console.log("- DSF:               %s (%d)", _pretty(minDSF), minDSF);
+        for (uint i = 0; i <= finalActionIdx; i++) {
+            _logDepositOrWithdraw(actions[i]);
+        }
+    }
+
+    function _copySeq(Action[] memory from, Action[] memory to, uint finalActionIdx) internal pure {
+        require(from.length == to.length && finalActionIdx < from.length);
+        for (uint i = 0; i <= finalActionIdx; i++) {
+            to[i].amount = from[i].amount;
+            to[i].op = from[i].op;
+        }
+    }
+
+    function _applyAction(Action memory action) internal {
+        if (action.op == Operation.DEPOSIT) {
+            state.dsf.update({
+                prevDepositShares: state.depositShares,
+                addedShares: action.amount,
+                slashingFactor: state.operatorMaxMag
+            });
+
+            state.depositShares += action.amount;
+        } else if (action.op == Operation.WITHDRAW) {
+            state.depositShares -= action.amount;
+        }
+    }
+
     function test_DSF_ContinueIteration() public rand(0) {
         (
             uint startDSF,
@@ -207,7 +846,7 @@ contract Integration_Rounding_Deallocation is IntegrationCheckUtils {
 
         DSFs.push(state.dsf._scalingFactor);
 
-        console.log("prevDepositShares: %d", state.prevDepositShares);
+        // console.log("prevDepositShares: %d", state.prevDepositShares);
         state.prevDepositShares += state.addedShares;
         state.operatorMaxMag -= maxMagDecrease;
 
@@ -219,7 +858,7 @@ contract Integration_Rounding_Deallocation is IntegrationCheckUtils {
             state.addedShares = 1;
             state.prevScalingFactor = state.dsf._scalingFactor;
 
-            console.log("prevDepositShares: %d", state.prevDepositShares);
+            // console.log("prevDepositShares: %d", state.prevDepositShares);
 
             state.dsf.update({
                 prevDepositShares: state.prevDepositShares,
@@ -244,6 +883,71 @@ contract Integration_Rounding_Deallocation is IntegrationCheckUtils {
         revert();
     }
 
+    function test_DSF_Sequence() public rand(0) {
+        Action[] memory actions = _readSequenceTOML();
+
+        uint iterations = 0;
+        for (uint i = 0; i < actions.length; i++) {
+            Action memory mainAction = actions[i];
+            if (i == 0) {
+                require(mainAction.op != Operation.REPEAT_PREV && mainAction.op != Operation.REPEAT_PREV2);
+            } else if (i == 1) {
+                require(mainAction.op != Operation.REPEAT_PREV2);
+            }
+
+            // number of times to apply action
+            uint applyTimes = 
+                mainAction.op == Operation.REPEAT_PREV ? mainAction.amount :
+                mainAction.op == Operation.REPEAT_PREV2 ? 2 * mainAction.amount :
+                1;
+
+            state.prevScalingFactor = state.dsf._scalingFactor;
+            state.prevDepositShares = state.depositShares;
+
+            for (uint j = 0; j < applyTimes; j++) {
+                // Cursed switch syntax determines if we're doing the main action or repeating a prev
+                Action memory action =
+                    mainAction.op == Operation.REPEAT_PREV ? prev :
+                    mainAction.op == Operation.REPEAT_PREV2 ? 
+                        (j % 2 == 0 ? prevprev : prev) :
+                    mainAction;
+                
+                _applyAction(action);
+
+                
+            }
+
+            iterations += applyTimes;
+            _print(mainAction, iterations);
+
+            prevprev = prev;
+            prev = mainAction;
+        }
+
+        revert();
+    }
+
+    function _readSequenceTOML() internal returns (Action[] memory actions) {
+        string memory tomlRAW = cheats.readFile("src/test/integration/params.toml");
+        bytes memory data = vm.parseToml(tomlRAW, ".sequence");
+        actions = abi.decode(data, (Action[]));
+
+        // Also setup start state
+        state.dsf._scalingFactor = cheats.parseTomlUint(tomlRAW, ".seqStartDSF");
+        state.depositShares = cheats.parseTomlUint(tomlRAW, ".seqStartShares");
+        state.operatorMaxMag = WAD - 1;
+
+        state.prevScalingFactor = state.dsf._scalingFactor;
+        state.prevDepositShares = state.depositShares;
+
+        printInputs = true;
+        finalIteration = actions.length;
+
+        _printStartState();
+
+        return actions;
+    }
+
     function _readTOML() internal returns (uint, uint) {
         string memory tomlRAW = cheats.readFile("src/test/integration/params.toml");
 
@@ -253,14 +957,56 @@ contract Integration_Rounding_Deallocation is IntegrationCheckUtils {
         );
     }
 
-    function _readFindContinuationTOML() internal returns (uint, uint, uint, uint) {
+    function _readFindOptimalTOML() internal returns (uint) {
         string memory tomlRAW = cheats.readFile("src/test/integration/params.toml");
 
+        // Setup start state
+        state.dsf._scalingFactor = cheats.parseTomlUint(tomlRAW, ".startDSF");
+        state.depositShares = cheats.parseTomlUint(tomlRAW, ".startShares");
+        state.operatorMaxMag = WAD - 1;
+
+        state.prevScalingFactor = state.dsf._scalingFactor;
+        state.prevDepositShares = state.depositShares;
+
+        printInputs = true;
+        finalIteration = cheats.parseTomlUint(tomlRAW, ".contIterations");
+
+        _printStartState();
+
         return (
-            cheats.parseTomlUint(tomlRAW, ".startDSF"),
-            cheats.parseTomlUint(tomlRAW, ".startShares"),
-            cheats.parseTomlUint(tomlRAW, ".iterations") + 1,
-            cheats.parseTomlUint(tomlRAW, ".contIterations")
+            finalIteration
+        );
+    }
+
+    function _readFuzzSequenceTOML() internal returns (DSFState memory startState, uint, uint) {
+        string memory tomlRAW = cheats.readFile("src/test/integration/params.toml");
+
+        // Setup start state
+        startState.dsf._scalingFactor = cheats.parseTomlUint(tomlRAW, ".seqStartDSF");
+        startState.depositShares = cheats.parseTomlUint(tomlRAW, ".seqStartShares");
+        startState.operatorMaxMag = WAD - 1;
+
+        startState.prevScalingFactor = startState.dsf._scalingFactor;
+        startState.prevDepositShares = startState.depositShares;
+
+        // Reset start state
+        state.dsf._scalingFactor = startState.dsf._scalingFactor;
+        state.depositShares = startState.depositShares;
+        state.operatorMaxMag = startState.operatorMaxMag;
+
+        state.prevScalingFactor = startState.prevScalingFactor;
+        state.prevDepositShares = startState.prevDepositShares;
+
+        _printStartState();
+
+        // printInputs = true;
+        // finalIteration = cheats.parseTomlUint(tomlRAW, ".contIterations");
+        // _printStartState();
+
+        return (
+            startState,
+            cheats.parseTomlUint(tomlRAW, ".fuzzRuns"),
+            cheats.parseTomlUint(tomlRAW, ".sequenceLength")
         );
     }
 
@@ -285,46 +1031,91 @@ contract Integration_Rounding_Deallocation is IntegrationCheckUtils {
         cheats.writeJson(outputJSON, "src/test/integration/output.json", arrKey);
     }
 
-    /// Minimum:
-    ///
-    /// DSF:            999000999000999
-    /// operatorMaxMag: 999999999999999999
-    /// depositShares:  1001
-
-    /// Deposit-only method:
-    ///
-    /// numDeposits:      1000
-    /// - optimalStart:   993
-    /// - final DSF:      5.01e14 (501756146512794)
-    ///
-    /// numDeposits:      2000
-    /// - optimalStart:   1993
-    /// - final DSF:      2.50e14 (250438266967192)
-    ///
-    /// numDeposits:      3000
-    /// - optimalStart:   2989
-    /// - final DSF:      1.67e14 (166944908180300)
-    ///
-    /// numDeposits:      4000
-    /// - optimalStart:   3989
-    /// - final DSF:      1.25e14 (125172111653523)
-
-    function test_DSF_SpecificUpdate() public rand(0) {
-        dummy._scalingFactor = 1;
-        dummy.update({
-            prevDepositShares: WAD,
-            addedShares: 1,
-            slashingFactor: 1e18 - 1
-        });
+    uint finalIteration = type(uint).max;
+    bool printInputs = false;
+
+    function _printStartState() internal {
+        console.log("");
+        console.log("==StartState==".yellow());
+
+        console.log(" - startDSF:              %s (%d)".dim(), _pretty(state.dsf._scalingFactor), state.dsf._scalingFactor);
+        console.log(" - startDepositShares:    %d".dim(), state.prevDepositShares);
+        console.log(" - startOpMaxMag:         %s (%d)".dim(), _pretty(state.operatorMaxMag), state.operatorMaxMag);
 
-        console.log("finalDSF:                %s (%d)", _pretty(dummy._scalingFactor), dummy._scalingFactor);
-        assertTrue(dummy._scalingFactor != 0, "found 0");
+        console.log("");
     }
 
-    uint finalIteration = type(uint).max;
-    uint printLast = 3;
-    uint printEvery = 100;
-    bool printInputs = false;
+    function _print(Action memory action, uint iter) internal {
+        _printIteration(action, iter);  
+        
+        if (action.op == Operation.DEPOSIT) {
+            if (printInputs) {
+                console.log("==Inputs==".yellow());
+
+                console.log(" - prevDepositShares:     %s (%d)".dim(), _pretty(state.prevDepositShares), state.prevDepositShares);
+                console.log(" - addedShares:           %d".dim(), action.amount);
+                console.log(" - prevDSF:               %s (%d)".dim(), _pretty(state.prevScalingFactor), state.prevScalingFactor);
+
+                console.log("=currentShares=".yellow().dim());
+
+                uint pDS = state.prevDepositShares;
+                uint pDSMulDSF = pDS * state.prevScalingFactor;
+                uint numerator = pDS.mulWad(state.prevScalingFactor) * state.operatorMaxMag;
+                uint currentShares = pDS.mulWad(state.prevScalingFactor).mulWad(state.operatorMaxMag);
+
+                console.log(" - prevDepositShares*DSF: %s (%d)".dim(), _pretty(pDSMulDSF), pDSMulDSF);
+                console.log(" - numerator:             %s (%d)".dim(), _pretty(numerator), numerator);
+                console.log(" - currentShares:         %d".dim(), currentShares);
+            }
+
+            _prettyDSFDelta();
+        } else if (action.op == Operation.WITHDRAW) {
+            
+        } else {
+            _prettyDSFDelta();
+        }
+
+        console.log("=newDepositShares=".yellow().dim());
+        console.log(" - depositShares:         %s (%d)".dim(), _pretty(state.depositShares), state.depositShares);
+
+        console.log("");
+    }
+
+    // Ex:
+    // [iter: 5] 
+    // - deposited shares:   0e01 (1)
+    function _printIteration(Action memory action, uint iter) internal {
+        console.log("[iter: %d]".dim(), iter);
+
+        if (action.op == Operation.DEPOSIT) {
+            _logDepositOrWithdraw(action);
+        } else if (action.op == Operation.WITHDRAW) {
+            _logDepositOrWithdraw(action);
+        } else if (action.op == Operation.REPEAT_PREV) {
+            console.log("Repeated last action %d times:".dim(), action.amount);
+            _logDepositOrWithdraw(prev);
+        } else if (action.op == Operation.REPEAT_PREV2) {
+            console.log("Repeated last two actions %d times:".dim(), action.amount);
+            _logDepositOrWithdraw(prevprev);
+            _logDepositOrWithdraw(prev);
+        }
+    }
+
+    function _logDepositOrWithdraw(Action memory action) internal {
+        if (action.op == Operation.DEPOSIT) {
+            console.log(
+                "-- deposited shares:       %s (%d)".dim().italic(),
+                _pretty(action.amount), 
+                action.amount
+            );
+        } else if (action.op == Operation.WITHDRAW) {
+            console.log(
+                "-- withdrew shares:       %s (%d)".dim().italic(),
+                _pretty(action.amount), 
+                action.amount
+            );
+        }
+    }
 
     function _print(uint iter) internal {
         // print every 100 iterations, but also print the final 20 iterations
@@ -341,16 +1132,16 @@ contract Integration_Rounding_Deallocation is IntegrationCheckUtils {
         // if (printInputs || iter > finalIteration - printLast) {
         if (true) {
             console.log("==Inputs==".yellow());
-            // console.log(" - prevDepositShares:     %d".dim(), state.prevDepositShares - state.addedShares);
-            console.log(" - prevDepositShares:     %d".dim(), state.prevDepositShares);
+            console.log(" - prevDepositShares:     %d".dim(), state.prevDepositShares - state.addedShares);
+            // console.log(" - prevDepositShares:     %d".dim(), state.prevDepositShares);
             console.log(" - addedShares:           %d".dim(), state.addedShares);
             console.log(" - prevDSF:               %s (%d)".dim(), _pretty(state.prevScalingFactor), state.prevScalingFactor);
 
             {
                 console.log("=currentShares=".yellow().dim());
 
-                // uint pDS = state.prevDepositShares - state.addedShares;
-                uint pDS = state.prevDepositShares;
+                uint pDS = state.prevDepositShares - state.addedShares;
+                // uint pDS = state.prevDepositShares;
                 uint pDSMulDSF = pDS * state.prevScalingFactor;
                 uint numerator = pDS.mulWad(state.prevScalingFactor) * state.operatorMaxMag;
                 uint currentShares = pDS.mulWad(state.prevScalingFactor).mulWad(state.operatorMaxMag);
@@ -359,16 +1150,16 @@ contract Integration_Rounding_Deallocation is IntegrationCheckUtils {
                 console.log(" - numerator:             %s (%d)".dim(), _pretty(numerator), numerator);
                 console.log(" - currentShares:         %d".dim(), currentShares);
             }
-
-            console.log("=newDSF=".yellow().dim());
         } 
         
-        // uint totalDepositShares = state.prevDepositShares + state.addedShares;
-        // uint totalWithdrawable = state.dsf.calcWithdrawable(totalDepositShares, state.operatorMaxMag);
-        // console.log(" - totalDepositShares:     %d", totalDepositShares);
-        // console.log(" - totalWithdrawable:      %d", totalWithdrawable);
+        _prettyDSFDelta();
+    }
+
+    // Print DSF as red under 1e12, yellow under 1e15, green otherwise
+    // Print decrease/increase/no change with %
+    function _prettyDSFDelta() internal {
+        console.log("=newDSF=".yellow().dim());
         
-        // console.log(" - operatorMaxMag:     %s (%d)", _pretty(state.operatorMaxMag), state.operatorMaxMag);
         if (state.dsf._scalingFactor < 1e15) {
             console.log(
                 " - DSF:                   %s (%d)".yellow(),
@@ -408,8 +1199,6 @@ contract Integration_Rounding_Deallocation is IntegrationCheckUtils {
                 _pretty(decrease)
             );
         }
-
-        // console.log(" - 1 WAD:              %s (%d)".dim(), _pretty(WAD), WAD);
     }
 
     /// Expresses a % decrease with 3 decimals; e.g: 99.999%
@@ -474,136 +1263,4 @@ contract Integration_Rounding_Deallocation is IntegrationCheckUtils {
             )
         );
     }
-
-    /// @dev Mocks out math performed in AllocationManager.slashOperator. This examines precision drift
-    /// caused by slashing applied when the operator has a pending deallocation, as slashOperator applies
-    /// slashes equally to two differently sized values:
-    ///
-    /// uint64 slashedMagnitude = uint64(uint256(allocation.currentMagnitude).mulWadRoundUp(params.wadsToSlash[i]));
-    /// 
-    /// vs
-    /// 
-    /// uint64 slashedPending =
-    ///             uint64(uint256(uint128(-allocation.pendingDiff)).mulWadRoundUp(params.wadsToSlash[i]));
-    ///
-    /// The goal was to determine how precision drift impacts an operator's max magnitude over time. In conclusion,
-    /// any precision drift/rounding that occurs causes the operator to have _less_ max magnitude than they should,
-    /// reducing the ability of an attacker to leverage magnitude for an attack. We can rule out pending deallocations 
-    /// when considering slash/redistro attacks.
-    function test_deallocMath(
-        uint64 maxMag,
-        uint64 curMag, 
-        uint64 pendDealloc, 
-        uint8 slashMantissa, 
-        uint8 slashExponent,
-        uint8 vMod
-    ) public rand(0) {
-        maxMag = uint64(bound(maxMag, 2, 1e18));
-        curMag = uint64(bound(curMag, 1, maxMag));
-        pendDealloc = uint64(bound(pendDealloc, 1, curMag));
-
-        // Slashes are XeY +/- 1
-        slashMantissa = uint8(bound(slashMantissa, 1, 9));
-        slashExponent = uint8(bound(slashExponent, 0, 17));
-        vMod = uint8(bound(vMod, uint(type(ValueMod).min), uint(type(ValueMod).max)));
-
-        mag = Magnitude({
-            max: maxMag,
-            cur: curMag,
-            available: maxMag - curMag,
-            pendDealloc: pendDealloc
-        });
-
-        slash = Slash({
-           mantissa: slashMantissa,
-           exponent: slashExponent,
-           vMod: ValueMod(vMod)
-        });
-
-        _printMagInfo();
-
-        for (uint i = slashExponent; i > 0; i--) {
-            _doSlash();
-            _printMagInfo();
-
-            slash.exponent--;
-        }
-
-        revert();
-    }
-
-    function _doSlash() internal {
-        console.log("");
-        console.log("===Slash Info===".magenta());
-
-        uint wadsToSlash = uint(slash.mantissa) * 10 ** uint(slash.exponent);
-        if (slash.vMod == ValueMod.SUB && wadsToSlash > 1) {
-            wadsToSlash--;
-            console.log(" - wadsToSlash: %de%d-1 (%d)", slash.mantissa, slash.exponent, wadsToSlash);
-        } else if (slash.vMod == ValueMod.ADD && wadsToSlash < uint(WAD)) {
-            wadsToSlash++;
-            console.log(" - wadsToSlash: %de%d+1 (%d)", slash.mantissa, slash.exponent, wadsToSlash);
-        } else {
-            console.log(" - wadsToSlash: %de%d (%d)", slash.mantissa, slash.exponent, wadsToSlash);
-        }
-
-        // Apply the same slashing to current allocation and pending deallocation
-        uint64 slashedMagnitude = uint64(SlashingLib.mulWadRoundUp(mag.cur, wadsToSlash));
-        uint64 slashedPending = uint64(SlashingLib.mulWadRoundUp(mag.pendDealloc, wadsToSlash));
-
-        // Check to see if rounding occurred
-        bool sMRounding = SlashingLib.mulWad(mag.cur, wadsToSlash) != slashedMagnitude;
-        bool sPRounding = SlashingLib.mulWad(mag.pendDealloc, wadsToSlash) != slashedPending;
-        console.log(" - slashedMagnitude: %d (rounding: %s)", slashedMagnitude, sMRounding ? "true".magenta() : "false");
-        console.log(" - slashedPending:   %d (rounding: %s)", slashedPending, sPRounding ? "true".magenta() : "false");
-
-        // Update magnitude info according to slash
-        mag.max -= slashedMagnitude;
-        mag.cur -= slashedMagnitude;
-        mag.available = mag.max - mag.cur;
-        mag.pendDealloc -= slashedPending;
-
-        // Simulate applying deallocation and guage how much magnitude the operator is now able to allocate
-        // uint64 newAvailable = mag.available + mag.pendDealloc;
-        // uint64 newCurMag = mag.cur - mag.pendDealloc;
-        // uint64 newMaxMag = newAvailable + newCurMag;
-        uint64 newCurMag = mag.cur - mag.pendDealloc;
-        uint64 newAvailable = mag.max - newCurMag;
-        uint64 effectiveMaxMag = newAvailable + newCurMag;
-
-        console.log(" - after deallocation:".yellow());
-        console.log(" -- new cur mag:     ", newCurMag);
-        console.log(" -- new available:   ", newAvailable);
-
-        if (mag.max == effectiveMaxMag) {
-            console.log(" -- max mag loss: %s", "none".green());
-        } else if (mag.max > effectiveMaxMag) {
-            console.log(
-                " -- max mag loss: %s (%d)", 
-                "lost magnitude".yellow(),
-                mag.max - effectiveMaxMag
-            );
-
-            revert("lossy");
-        } else {
-            console.log(
-                " -- max mag loss: %s (%d)", 
-                "gained magnitude".red(),
-                effectiveMaxMag - mag.max
-            );
-
-            revert("gain");
-        }
-    }
-
-    function _printMagInfo() internal {
-        console.log("");    
-        console.log("===Magnitude Info===".cyan());
-
-        console.log(" - initial max mag:  ", WAD);
-        console.log(" - max magnitude:    ", mag.max);
-        console.log(" -- available:       ", mag.available);
-        console.log(" -- allocated:       ", mag.cur);
-        console.log(" -- pending dealloc: ", mag.pendDealloc);
-    }
 }
\ No newline at end of file