From 0a41206e1f2f6649fca2d7a14a214e959e699175 Mon Sep 17 00:00:00 2001
From: tzhouam <tzhouam@connect.ust.hk>
Date: Wed, 23 Sep 2026 23:01:22 +0800
Subject: [PATCH] Add Omni MiniCPM-o GGUF whole-session CPU and Radeon paths

---
 .../experiments/probe_omni_minicpmo_cpp.py    | 158 ++++++
 .../results/e2e_expansion_20260923/README.md  |   4 +-
 .../evidence/minicpmo_omni_cpp/README.md      |  64 +++
 .../evidence/minicpmo_omni_cpp/cpu_output.wav | Bin 0 -> 107564 bytes
 .../minicpmo_omni_cpp/cpu_report.json         | 153 ++++++
 .../llama_cpp_omni_bounded.patch              | 156 ++++++
 ...pmo-1-478e965280734397918e5b3687e11006.log | 469 +++++++++++++++++
 ...pmo-2-7fa1ace55f734e678e7e76f56d6bdf9d.log |  19 +
 ...pmo-1-fec5accd5f8b463f8e62252d7a31c927.log | 479 +++++++++++++++++
 ...pmo-2-53637554493b4b38af27b722dc48ad51.log |   1 +
 .../minicpmo_omni_cpp/low_budget_report.json  |  45 ++
 .../minicpmo_omni_cpp/radeon_output.wav       | Bin 0 -> 124844 bytes
 .../minicpmo_omni_cpp/radeon_report.json      | 153 ++++++
 .../evidence/summary/README.md                |  10 +-
 vllm_omni/config/pipeline_registry.py         |   6 +-
 vllm_omni/engine/backends/__init__.py         |   4 +
 vllm_omni/engine/backends/minicpmo_cpp.py     | 496 ++++++++++++++++++
 .../models/minicpmo_4_5/pipeline.py           |  18 +
 18 files changed, 2228 insertions(+), 7 deletions(-)
 create mode 100644 benchmarks/edge_harness/experiments/probe_omni_minicpmo_cpp.py
 create mode 100644 benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/README.md
 create mode 100644 benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/cpu_output.wav
 create mode 100644 benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/cpu_report.json
 create mode 100644 benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/llama_cpp_omni_bounded.patch
 create mode 100755 benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_cpu/minicpmo-1-478e965280734397918e5b3687e11006.log
 create mode 100755 benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_cpu/minicpmo-2-7fa1ace55f734e678e7e76f56d6bdf9d.log
 create mode 100755 benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_radeon/minicpmo-1-fec5accd5f8b463f8e62252d7a31c927.log
 create mode 100755 benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_radeon/minicpmo-2-53637554493b4b38af27b722dc48ad51.log
 create mode 100644 benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/low_budget_report.json
 create mode 100644 benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/radeon_output.wav
 create mode 100644 benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/radeon_report.json
 create mode 100644 vllm_omni/engine/backends/minicpmo_cpp.py

diff --git a/benchmarks/edge_harness/experiments/probe_omni_minicpmo_cpp.py b/benchmarks/edge_harness/experiments/probe_omni_minicpmo_cpp.py
new file mode 100644
index 000000000..2df3f1acb
--- /dev/null
+++ b/benchmarks/edge_harness/experiments/probe_omni_minicpmo_cpp.py
@@ -0,0 +1,158 @@
+#!/usr/bin/env python3
+"""Run a pinned audio+image→text+speech MiniCPM-o GGUF request through Omni.
+
+The single C++ process owns the whole session. This probe records complete
+request latency; it does not claim incremental speech streaming.
+"""
+
+from __future__ import annotations
+
+import argparse
+import asyncio
+import hashlib
+import json
+import time
+import wave
+from pathlib import Path
+from types import SimpleNamespace
+
+
+async def main() -> None:
+    parser = argparse.ArgumentParser(description=__doc__)
+    for name in ("model-dir", "cli-bin", "reference-wav", "audio-wav", "image-jpeg",
+                 "artifact-report", "work-root", "log-root", "output-report", "output-wav"):
+        parser.add_argument(f"--{name}", type=Path, required=True)
+    parser.add_argument("--cli-sha256", required=True)
+    parser.add_argument("--placement", choices=("cpu", "radeon-hybrid"), required=True)
+    parser.add_argument("--reserve-gib", type=int, default=24)
+    parser.add_argument("--capacity-gib", type=int, default=30)
+    parser.add_argument("--abort-check", action="store_true")
+    parser.add_argument("--expect-admission-refusal", action="store_true")
+    args = parser.parse_args()
+
+    from vllm_omni.config.stage_config import DeployConfig, StageDeployConfig, merge_pipeline_deploy
+    from vllm_omni.engine.stage_runtime import StageRuntime
+    from vllm_omni.model_executor.models.minicpmo_4_5.pipeline import MINICPMO_4_5_GGUF_WHOLE_PIPELINE
+
+    source = json.loads(args.artifact_report.read_text(encoding="utf-8"))
+    reference_hash = hashlib.sha256(args.reference_wav.read_bytes()).hexdigest()
+    inputs = {"audio_wav": args.audio_wav.read_bytes(), "image_jpeg": args.image_jpeg.read_bytes()}
+    backend = {
+        "name": "external.minicpmo.gguf.v1",
+        "placement": args.placement,
+        "ggml_vk_visible_devices": "1" if args.placement == "radeon-hybrid" else None,
+        "expected_gpu_name": "AMD Radeon(TM) 890M Graphics" if args.placement == "radeon-hybrid" else None,
+        "model_dir": str(args.model_dir),
+        "model_revision": source["model_revision"],
+        "artifact_sha256": {name: data["sha256"] for name, data in source["artifacts"].items()},
+        "cli_bin": str(args.cli_bin), "cli_sha256": args.cli_sha256,
+        "reference_wav": str(args.reference_wav), "reference_sha256": reference_hash,
+        "work_root": str(args.work_root), "log_root": str(args.log_root),
+        "memory_overhead_bytes": 12 << 30,
+        "context_tokens": 2048, "max_new_tokens": 96,
+        "max_input_bytes": 2 << 20, "max_wav_bytes": 2 << 20,
+        "max_text_bytes": 16 << 10, "max_work_bytes": 64 << 20,
+        "max_input_audio_s": 10, "max_output_audio_s": 20,
+        "request_timeout_s": 240, "t2w_wait_seconds": 180,
+    }
+    budget = {"capacities": {"host_ram": args.capacity_gib << 30},
+              "demands": {"host_ram": args.reserve_gib << 30}}
+    deploy = DeployConfig(async_chunk=False, stages=[StageDeployConfig(
+        stage_id=0, backend=backend, resource_budget=budget,
+    )])
+    configs = [item.to_omegaconf() for item in merge_pipeline_deploy(
+        MINICPMO_4_5_GGUF_WHOLE_PIPELINE, deploy,
+    )]
+    runtime = StageRuntime(configs, "local-minicpmo-gguf", "", stage_init_timeout=180,
+                           async_chunk=False)
+    report = {"scope": "MiniCPM-o GGUF complete audio+image→text+speech through Omni StageRuntime/StagePool",
+              "placement": args.placement, "model_revision": source["model_revision"],
+              "artifact_sha256": backend["artifact_sha256"],
+              "cli_sha256": args.cli_sha256, "reference_sha256": reference_hash,
+              "input_sha256": {key: hashlib.sha256(value).hexdigest() for key, value in inputs.items()},
+              "memory_budget": budget, "profile_count": 1, "warmup_count": 0}
+    try:
+        started = time.perf_counter()
+        if args.expect_admission_refusal:
+            try:
+                runtime.initialize()
+            except Exception as exc:
+                if "exceed reservation" not in str(exc):
+                    raise
+                report["admission_refusal"] = f"{type(exc).__name__}: {exc}"
+                report["status"] = "passed"
+                return
+            raise AssertionError("MiniCPM-o accepted an insufficient memory reservation")
+        runtime.initialize()
+        report["startup_s"] = time.perf_counter() - started
+        pool = runtime.stage_pools[0]
+        report["execution_plan_at_start"] = dict(pool.stage_client.execution_plan)
+        state = SimpleNamespace(sampling_params_list=[None])
+
+        async def request_one(request_id: str):
+            started = time.perf_counter()
+            await pool.submit_initial(request_id, state, inputs)
+            deadline = time.monotonic() + 250
+            while True:
+                output = pool.poll_graph_output(0)
+                if output is not None:
+                    break
+                if time.monotonic() >= deadline:
+                    raise TimeoutError("MiniCPM-o Omni output timed out")
+                await asyncio.sleep(0.01)
+            try:
+                if output.error:
+                    raise RuntimeError(output.error)
+                completion = output.outputs[0]
+                metadata = output.custom_output["audio_metadata"]
+                pcm = (completion.multimodal_output["audio"].numpy() * 32768).astype("<i2").tobytes()
+                assert completion.multimodal_output["sr"] == 24000
+                assert len(pcm) // 2 == metadata["pcm_frames"]
+                assert hashlib.sha256(pcm).hexdigest() == metadata["pcm_sha256"]
+                assert "red" in completion.text.lower(), completion.text
+                assert output.custom_output["stage_event"]["terminal"] is True
+                return {"text": completion.text, "wall_s": time.perf_counter() - started,
+                        "audio_metadata": metadata, "stage_event": output.custom_output["stage_event"],
+                        "metrics": output.metrics, "pcm": pcm}
+            finally:
+                output.release_stage_buffers()
+                await asyncio.sleep(0)
+
+        result = await request_one("minicpmo-1")
+        pcm = result.pop("pcm")
+        args.output_wav.parent.mkdir(parents=True, exist_ok=True)
+        with wave.open(str(args.output_wav), "wb") as out:
+            out.setnchannels(1)
+            out.setsampwidth(2)
+            out.setframerate(24000)
+            out.writeframes(pcm)
+        report["complete_request"] = result
+        report["output_wav"] = str(args.output_wav)
+        report["execution_plan_after_request"] = dict(pool.stage_client.execution_plan)
+        if args.abort_check:
+            await pool.submit_initial("minicpmo-abort", state, inputs)
+            await asyncio.sleep(0.05)
+            await pool.abort_requests(["minicpmo-abort"])
+            await asyncio.sleep(0.1)
+            report["abort_check"] = {
+                "stale_output": pool.poll_graph_output(0) is not None,
+                "ledger": runtime.resource_ledger.snapshot(),
+            }
+            assert not report["abort_check"]["stale_output"]
+        report["status"] = "passed"
+    except BaseException as exc:
+        report["status"] = "failed"
+        report["error"] = f"{type(exc).__name__}: {exc}"
+        raise
+    finally:
+        runtime.shutdown()
+        if runtime.resource_ledger is not None:
+            report["ledger_after_shutdown"] = runtime.resource_ledger.snapshot()
+        args.output_report.parent.mkdir(parents=True, exist_ok=True)
+        args.output_report.write_text(json.dumps(report, indent=2, default=str) + "\n", encoding="utf-8")
+        print(json.dumps({key: value for key, value in report.items() if key != "artifact_sha256"},
+                         indent=2, default=str))
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/README.md b/benchmarks/edge_harness/results/e2e_expansion_20260923/README.md
index ca87e7f6b..436e8ec10 100644
--- a/benchmarks/edge_harness/results/e2e_expansion_20260923/README.md
+++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/README.md
@@ -1,9 +1,11 @@
 # 2026-09-23 WSL CPU and native Windows expansion
 
-This extends the [60-cell device × model matrix](../e2e_profiling_20260922/evidence/summary/README.md) with previously unrun WSL CPU and native Windows paths. The September 22 timing tables remain historical. MiniCPM-o now has separate 20-request serial text-to-speech timing runs on WSL CPU and native Windows GPU, plus one synthetic image and one synthetic audio input on each platform. A separate pinned GGUF route ran combined image+audio to text+speech requests on WSL CPU, native Windows CPU and native Windows Radeon 890M+CPU. The two Windows routes answered one spoken red-square question correctly with matching language token IDs; these C++ runs remain standalone, with broader input-grounded quality unqualified. Each InternVLA timing remains one observation. Spark has a 20-request Omni output-head component profile on the HX370 AMD NPU and separate 20-request **complete text** profiles through standalone llama.cpp on native Windows CPU and Radeon 890M. The latter now also run as bounded whole-session Omni stages, with public AsyncOmni requests checked separately. Qwen3-TTS has separate 20-request standalone and bounded Omni whole-session text-to-WAV profiles on native Windows CPU; the CPU+Radeon 890M hybrid route likewise has standalone and Omni profiles. None is a sustained or full-modality profile. The [checkpoint manifests](../e2e_recovery_20260923/README.md) pin the earlier real weights; the [Spark NPU component record](evidence/spark_amd_npu_output_head/README.md), [standalone CPU/Radeon whole-model record](evidence/spark_radeon890m_llamacpp/README.md), [Omni CPU/Radeon whole-session record](evidence/spark_omni_llamacpp/README.md), [standalone CPU Qwen TTS record](evidence/qwen_tts_native_cpu/README.md), [Omni CPU Qwen TTS record](evidence/qwen_tts_omni_cpu/README.md), [standalone joint CPU+Radeon TTS record](evidence/qwen_tts_radeon890m_joint/README.md), and [Omni joint TTS record](evidence/qwen_tts_omni_hybrid/README.md) pin their respective artifacts. No model, precision or context was silently substituted.
+This extends the [60-cell device × model matrix](../e2e_profiling_20260922/evidence/summary/README.md) with previously unrun WSL CPU and native Windows paths. The September 22 timing tables remain historical. MiniCPM-o now has separate 20-request serial text-to-speech timing runs on WSL CPU and native Windows GPU, plus one synthetic image and one synthetic audio input on each platform. A separate pinned GGUF route ran combined image+audio to text+speech requests on WSL CPU, native Windows CPU and native Windows Radeon 890M+CPU. The two Windows routes answered one spoken red-square question correctly with matching language token IDs; those C++ routes now also pass a bounded complete request through [Omni whole-session stages](evidence/minicpmo_omni_cpp/README.md), with broader input-grounded quality unqualified. Each InternVLA timing remains one observation. Spark has a 20-request Omni output-head component profile on the HX370 AMD NPU and separate 20-request **complete text** profiles through standalone llama.cpp on native Windows CPU and Radeon 890M. The latter now also run as bounded whole-session Omni stages, with public AsyncOmni requests checked separately. Qwen3-TTS has separate 20-request standalone and bounded Omni whole-session text-to-WAV profiles on native Windows CPU; the CPU+Radeon 890M hybrid route likewise has standalone and Omni profiles. None is a sustained or full-modality profile. The [checkpoint manifests](../e2e_recovery_20260923/README.md) pin the earlier real weights; the [Spark NPU component record](evidence/spark_amd_npu_output_head/README.md), [standalone CPU/Radeon whole-model record](evidence/spark_radeon890m_llamacpp/README.md), [Omni CPU/Radeon whole-session record](evidence/spark_omni_llamacpp/README.md), [standalone CPU Qwen TTS record](evidence/qwen_tts_native_cpu/README.md), [Omni CPU Qwen TTS record](evidence/qwen_tts_omni_cpu/README.md), [standalone joint CPU+Radeon TTS record](evidence/qwen_tts_radeon890m_joint/README.md), and [Omni joint TTS record](evidence/qwen_tts_omni_hybrid/README.md) pin their respective artifacts. No model, precision or context was silently substituted.
 
 | Device / model | Verified depth | Observed output and time | Remaining gate |
 |---|---|---|---|
+| Native Windows HX370 CPU / MiniCPM-o 4.5 Q4_K_M/F16 GGUF | Scoped complete-request Omni C++ whole-session graph stage (P for one synthetic combined audio+image input) | Correct red-square answer, 2.24 s 24 kHz WAV; one cold request 24.34 s, sampled RSS 13.11 GB. 24 GiB admission, 8 GiB refusal and in-flight cancellation with zero remaining reservation passed. | Real multimodal suites, playable streaming, repeated latency, loading peak, post-cancel restart and sustained power; [raw evidence](evidence/minicpmo_omni_cpp/README.md). |
+| Native Windows HX370 CPU+Radeon 890M / same MiniCPM-o GGUF | Scoped complete-request Omni hybrid graph stage (P for one synthetic combined audio+image input) | Correct red-square answer, 2.60 s 24 kHz WAV; one cold request 18.27 s, sampled RSS 15.57 GB. Log verifies Radeon language+vision and CPU TTS/Token2Wav; cancellation drained without stale output or reservation. | Real multimodal suites, playable streaming, repeated/concurrent latency, loading peak and sustained power; [raw evidence](evidence/minicpmo_omni_cpp/README.md). |
 | Native Windows HX370 CPU+Radeon 890M / Qwen3-TTS 0.6B CustomVoice Q8_0 GGUF plus F16 codec | Scoped complete standalone CrispASR text-to-WAV path with Vulkan talker/codec and CPU FP32 code predictor (P for two named sentences; outside Omni; **not** all-Radeon or NPU) | Two 24 kHz WAVs of 2.56 s and 3.20 s; independently pinned Whisper tiny.en ASR WER 0 on both. One warmup + 20 serial measured resident-server requests for the first prompt had client wall p50/p95 3.310/3.345 s, all PCM hashes identical; RTF 1.29/1.31. The default Vulkan setting fell back to CPU, while all-Vulkan talker+predictor hit a 360-frame runaway cap. | Explicit Omni hybrid stage binding, quality and playback gates, loading-peak admission, cancellation, broader prompts, concurrency and sustained power/thermal behavior; [joint raw evidence](evidence/qwen_tts_radeon890m_joint/README.md), [failed DirectML attempt](evidence/qwen_tts_radeon890m_directml/README.md). |
 | Native Windows HX370 CPU+Radeon 890M / same Qwen3-TTS 0.6B CustomVoice GGUFs | Scoped complete-request Omni CrispASR hybrid stage (P for two named sentences; **not** all-Radeon or NPU) | Both 24 kHz PCM outputs exactly match the earlier standalone hashes. One warmup + 20 serial Omni requests for 2.56 s of audio had 20/20 identical PCM, nearest-rank wall p50/p95 3.298/3.336 s (RTF 1.29/1.30). Public AsyncOmni audio passed; cancellation drained the worker and ledger. | Playable streaming, post-cancel restart, broad speech quality, loading/iGPU peak, concurrency and sustained real-time/thermal gates; [Omni raw evidence](evidence/qwen_tts_omni_hybrid/README.md). |
 | Native Windows HX370 CPU / Qwen3-TTS 0.6B CustomVoice, revision `85e237c12c027371202489a0ec509ded67b5e4b5` | Scoped complete standalone PyTorch text-to-WAV path (P for two named sentences; outside Omni) | Nonzero 24 kHz WAVs of 4.56 s and 3.44 s. For the first prompt, 1 warmup + 20 serial measured complete generations p50/p95 13.94/14.68 s; Whisper tiny.en ASR WER 0.20 on the first and 0.00 on the second sentence. | See the subsequent Omni CPU binding below; playable streaming, speech quality, memory loading peak and sustained behavior remain open; [standalone raw evidence](evidence/qwen_tts_native_cpu/README.md). |
diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/README.md b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/README.md
new file mode 100644
index 000000000..80d36b406
--- /dev/null
+++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/README.md
@@ -0,0 +1,64 @@
+# MiniCPM-o GGUF through an Omni whole-session stage
+
+These are two scoped, complete **audio+image → text+speech** requests through
+`StageRuntime`/`StagePool` and `external.minicpmo.gguf.v1`, on the native
+Windows 11 build 26200 HX370 laptop. They are not incremental audio streams or
+full vLLM model execution. The C++ worker owns the model session and speech
+state for each request; Omni verifies artifacts and placement, reserves shared
+RAM, controls the request and cancellation, and emits a terminal audio event.
+
+The Q4_K_M language plus nine F16 GGUF companions are the exact ten files and
+revision `db25077c33951fe163b42986fba0132e279872a2` pinned in the
+[CPU](cpu_report.json) and [Radeon](radeon_report.json) reports. The external
+C++ source is `tc-mb/llama.cpp-omni` at
+`5202b7b2f4d11f50b9f996161e7a2f8b8571b890`, with the
+[recorded patch](llama_cpp_omni_bounded.patch) adding portable Windows
+completion and a 96-token generation bound. Rebuild the CPU and Vulkan CLI
+with the [recorded cross-build configuration](../minicpmo_cpp_radeon890m/README.md);
+these new binary SHA256 values are pinned in the JSON reports. Native Windows Python used the
+installed vLLM 0.29 environment with this Omni checkout. The input is the
+[same 16 kHz spoken question and 448×448 red-square JPEG](../minicpmo_cpp_radeon890m_prompted/README.md)
+used by the standalone parity run; the source speech was independently
+transcribed as “What color is the square in the image?”.
+
+| Placement | Complete-request wall time | Output | Sampled worker RSS peak | Raw report |
+|---|---:|---|---:|---|
+| Native Windows CPU only | 24.34 s | “The square in the image is red.”; [2.24 s WAV](cpu_output.wav) | 13.11 GB | [JSON](cpu_report.json) |
+| Radeon 890M Vulkan0 language+vision, CPU TTS/Token2Wav/vocoder | 18.27 s | Same text; [2.60 s WAV](radeon_output.wav) | 15.57 GB | [JSON](radeon_report.json) |
+
+Each has **one cold request, zero warmups, concurrency one**. The C++ CLI uses
+2,048 context tokens, `--max-new-tokens 96`, 180 s bounded Token2Wav wait,
+and a 240 s complete-request timeout. The stage reserves 24 GiB from a
+declared 30 GiB shared-RAM capacity, including 8.87 GB weights, 12 GiB
+headroom/state/workspace allowance, and 64 MiB bounded temporary output.
+It checks mono PCM16 16 kHz input, 448×448 JPEG, output text and complete
+24 kHz nonzero WAV chunks. Both logs show index-1 audio and vision prefill and
+`Audio generation completed.` The [CPU logs](logs_cpu/) show zero GPU layers,
+CPU vision and CPU Token2Wav. The [Radeon logs](logs_radeon/) show Radeon 890M
+selected by `GGML_VK_VISIBLE_DEVICES=1`, 37/37 language layers and vision on
+Vulkan0, 0/21 TTS layers on GPU, and CPU vocoder. Thus the Radeon route is
+CPU+iGPU joint execution, not all-GPU or NPU execution.
+
+Each run emitted one terminal audio event, reported output/input hashes, then
+cancelled a new in-flight request: no stale output appeared, and the resource
+ledger returned to zero. An intentionally insufficient 8 GiB CPU reservation
+was [refused before worker launch](low_budget_report.json), with no remaining
+ledger owner. The worker logs, reports, generated WAVs and full C++ patch are
+retained here. The upstream optional WAV merger is not used; the stage verifies
+and assembles contiguous output chunks after the completion marker.
+
+The standalone outputs for this fixture were independently transcribed with
+Whisper tiny.en at WER 0, an intelligibility proxy; these new Omni WAVs were
+checked for nonzero complete PCM but not independently ASR-scored. One case
+does not establish quality across real images or speech, loading peak,
+repeatability, playable streaming, cancellation restart, concurrent admission,
+or sustained power and thermals. No power condition was controlled.
+
+Reproduce with
+[`probe_omni_minicpmo_cpp.py`](../../../../experiments/probe_omni_minicpmo_cpp.py)
+using `--placement cpu` or `--placement radeon-hybrid`, the paths and hashes in
+the JSON reports, the referenced model revision and the named audio/JPEG
+fixture. Add `--abort-check` for cancellation and
+`--reserve-gib 8 --expect-admission-refusal` for the budget refusal. The
+Windows Python process needs `PYTHONUTF8=1` and `PYTHONPATH` pointing to this
+Omni checkout.
diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/cpu_output.wav b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/cpu_output.wav
new file mode 100644
index 0000000000000000000000000000000000000000..3afe15f3d0a36f9183495826a31f9fbabb98ccb8
GIT binary patch
literal 107564
zcmYg(2b>he6K+r3a5-`0bYzgA_%~ocL4pATk`xpH#e^t|pqNlV1VIGFoDnl3U_?a`
z6#>aP9T&LB<;@fNecz6}_t@X=&h~UyS66peeO1+S+%$a1kWQ-<G3JWVSKT%3k@lHF
z2nDa-CJ6D&Mj=#@DW=@<$Q=T8gm7gPFH<xV9Yuj?A+m%abi6Z!U&N&%I*1EJKhYY$
zQ-n_h@otbu<VhKqX`&_Sx5T|>pmJK4fKCv!1E|wNTrRE?7l~BSC}W`FNL!MoBTvbr
zG9lZDwjwO|gHAeX4HZ4XRj#;QJTA@?wXzQUWQpdWoSvlB1yq}4sVtJm(RX38pJt++
z_@5XdZWB|)7;%Z{0UA9;p0H&E{l&mfDf)@Za#;ahU6~^CF|OnCj64r5#-iop;xq9C
zdLS3O<XX8^`thp?H7^BEEkUabB$5wKQbY*-?vo)|fN>2LSL5AN<X}9R!i22af$N^4
z6~4QmRTMooNC_@%^iLUPicXN?ATb;*F9*#aD7F!uMSEQLM@fIQ^rN;Vb$km@2+2lC
zIao3kvh0KzxEK`9$LBzd^<2>#ug>Vp2g!#p##4}fm8`^775a`!0q(kpKH?m_`h&Y}
zkY#h!&qKd$L^gWS&|e5O6Ecjx;%H%DwsMoNeAMoM_Px-$8)m9G+H}M_Gs$@xK269{
z!^;2%TrYl%C<Qa0ihi3zW?U^f;5<j9p*QxMhjQNG%;$hY5Vcj2K;PAnR}FZvA^8@N
zVp~Y1O_D+e=#jdP)oX*tCe%HRS1q^}D2d<|mt0%q-=E}51yypT;(h|<4Vdv7yelA`
z2CPK~Gs7{*Aln#vji9xSQjr`FN5UD1fv-l?uS1WNXdJI5{Axm7756RBa3H-1sJOT$
zKPpzYlf29Mv(OLQG=NSMUbUc8jn^4a3Ca58cOy8f#C04cXHZ804++#{y>hI|gL1Dt
zfX~D77=9IFMW2>sxEDfy<ggC?$I!9}<!4Y{hF0at9me|HE63%D<kd;6k21U}P>UR~
z|H`CHD4hz>F2w5;>K;R@qiDs}Y=0_QdI~*MqJ1&wb6wUZKkJfoO40Hp>h6`h<sN+Q
z!i#)+JXfHn`u}7=36_CgA?P1Y*4&Lxw%7w*a8MpXsn>hyf2*0ZRsr5U?#K(<9>QMS
zgWmR{73D)d$uIdXgfvRgrUIOnqGbs_i^1PfwA!ESYp2|a9`}Jij+d<tC;Rs9AHc6e
z$$O_jjpHo?O^^OT)Z34K*?v!QtlsAVP&tM=oTD;uT!V3*LC@@SpWGq;lAGn9a+}<a
z>wnRXeR#Z{0=JYs`#gm5v*S8|YfAGF>K#PszGSceqTih;J&4ky=##AuqUL_wC(R@H
zO<8#N4x;8R^tWC9jn_6@??vsyc(MMW<e11a=bG!}7|ITz%^uwKYH>C>X0|$+lxER?
zGr;-aS~-UA!eq;{tMquX{?TOFezao`d~tPAqFfbRiySq_UX(0jeQ(Wi1e_VpB4x?d
zR*i4YLuqm@i_r1}YH((`?zs=R!zpvly0_12QReM?t^)21w&wb;0Zq<OBeX#HzrD!a
z!(O=FxJRjz_)Q9Yu|8k5Sj*HI5$yd?^2NQ~gi_vPZR(4fq~@TuAbsu??zzTfD^IU9
z;X0h86Ho4CPm@_mT|})#&BC_qD-K;k9p^|FT84UtdY5`p!!L<a39Z8t{$>d^AN7(%
zeOi9%720%9O9%07fC{ZYsgVw^NtM>jhx-A%bd-@6d-v#QxaUKiKvLJAtxH<uNl$)z
z+L}GG2OaeT(90RH0@<*n-e(&0dMar6lYP+^&?3?zu$<TYPJ=b3h0TP$XogoFzO$0Q
zGf_?}6aWQUArs$hm65EOhhB1$7KgP+Asuh8?>x{U71ALEub1>>3$|$n`^O%=8f=@J
zv|GeEw4AMBp~we&$O47bByDn<g__M!w`CF$wS`4*i&s0?`1WYmB6*K(*)t_U+m@Dm
zrJ|%6D7S;nEr6}>f)}wtt0b)!u$j64jVA|Jyw1X#SG1<Y5S`JY6I!=V_Syz5TY(-w
z&tA1gO_sGyj-fTIc_+L(B>C%rZ(={M@9v_z==y)@vD~Xg+TNJjqc+>}yCC@{&t3m(
z)d}2mPL{Jp8;pT7N9#`+wn7Pc@Thf6j+FH~gAVCa!Y%)kxL2P%^A5{7rWSa4Wu(M$
zwZ}J+C~3EZOo$svzxDrpv0sk<tc1O>c0{fA7)L>pjwd0HI{P77Ar|rIkOOb@<lf_w
zeQ{l~4X-%LT)fFQf9EG(9`?z@HR}-pdGpCx%t)?IZ(nd;xvKb!>z*r+zqnd>kJtRg
zwdU;}?jP<&?gQ@1U~)C3|5t-+o-3bg%=_eO<xb;XNlWfGZ?|zb6W5ahug>m@v%8e^
zxzo7cJ)J|n@&Etx^bxfOU!+8g#D7XsCwQOK5}vlAMxt(EIln#aW<k?X0}@RUUr{qs
z`^159Si)<5JO6!q_%4oe)*wRjbSX=`cBH{OUQL#gHfx=2;b~cZQj4F}xzx-tyoti8
zgFT(y04-mi)aKOmv?HE{@jg9U;n@p*dbWU8g}9uygoul;s-%_jkd60AABAt;BVAe|
zUa=-o8&M4XD_Xqr<dug6iG|Bi*W;xUzgU}|PYEn5f1QRMrQIz`wq>bzuQ*xi*-)0U
z4r%h5eVxWPuV^z_=GlGPd=F33{(7j0lu4hq+{0%?p2R1#`p581WaQcR6Uo*dEmHT|
z@Hg9&I?)7s@Ngax0Wk&<8c_kM9!-`VM?DWs5W9GFh+KI^+)4yQtVaCAb}aJ{n%4ty
zBKaihIE#STJ4Zk)#Fxjr*Q1A{$s6$u`SrNv7)imSahBHE-=~t2V~-wYA${VWlX!cd
zq{OkZU-H8jxg}rh%X{-KUz`)x_W0mEPrAHfUEU!r%9S;_2F}j6H;bG}uZCC0TUo5b
zmBSUl6-C@tm0W4WO)TS!YxMuEQm#)ABYA7QD!IaW?cu9x?3A;J$-`p&Bz`*kt3J6$
zJWqmqi|?~Lt>M4j*n|?#hibt6ChSF`B5$t}gK@`lr!t1Y{m<P_&n}KKPY=YCHDdqO
z@H7Ll6wws%(ODeCE9xSC^F`g|T@zva|M<qkUY;)0|F6#T{8S<l`o_dU)Ri7qJBy5n
zl!%C^A*m<n*J^0t!zatVmc(ghvMuZIo`>z|pQj~tJ$+R6$GgO9L^5Y}I7^A&h_Co!
z4N_#=AS?l`0$&~_A}yAlMM|_iDY!@LLmQC|8`v^w)o4FG?39ic#8qd}oM*{A{F9rs
zQnXX4;DMHhebIiAANES>9)4rrv@x_$#CTqxlz|WJJTyj}!>9uzPiN~9-_ZsVQ}UWL
zXd^u<Nvld^#CAkv<b}NDB)@5`o8uR)GW(-lCY~d5<M&x?_5bei>Z~R9a3T96-s5Pz
z5z>xlpv)T`W$E$CIvh7!cy{$Ht|dis<RJjc-@}BIS9X$?hkbdU-19|5!f}v$Pg)*d
z9u_@|CMa+6LWy|Df}h@94^5x_<sk+3!}@%Ay%9C=+T)LXa8+=gI1=7VNv>4lfwOzV
zv;5wA<?7>_=6WX9@J8<8@Ux>L)lAUgJ=SJ@UUS7#y56^kIY^t{3-?+8Z?0z#?XZ0c
zYLjEO_WT-b+vLvW{`KD8e&kN)&i2s9+1>8p4-Z+`|LFvx6zT^Lkq~q6K4UJ#1w;?T
z5MCMe4Yi65Z9*jCAq?svuRf85r`@Q@JS@TZ3u7l<9EDoZ^Bz5{K#btUFQ{$3n2qP3
z(hKzv2$9Iys0yijx|Mz=ePQZg`odm3h}xaFfiKTDrmm*Gr8f5bS87qu>!c@24NHB?
z8tj=Uf_8&37RDSHr`VT_A~06KXasF5BapSwwvMDuOT!FvtrG8gUR4k?$k=8b##ajK
z<V6M;-(cKlm)s(M$7{WOU#^sk<P14VUM$<o6q#@%Zq%)I|8&>6Kf1rU8{I>0mh3Nw
z$k}ogTI~nFSBbfZjb0@_R~MW6d|Qpq`VZP~>NMq5rL}4(|Dw**a*xx-o^QQiy=cw0
zmRck2L(T>0ZI8T2EEQ|S4a$@1ByEm1NK4Z`P!r0%O0Kd)j23I9kjvdU?ijbydDgkt
zneD7_63#-m!MzDoJ7DDv5SsFtvO>92S*Pq&u2K#QLuo|Bc7<Fbr^yrUOYZmXAMP^u
zdG{B$$hF)N==B7oaE@3Y){1Y%J}lEl@uiq2UP4T|JL2L3@#fFuBze2MLw1)TH(d^u
zBk@{{C=ji8D*7BMZWS+!b>d^O0<VSQZp5U!VmH)6k{jg5@-6v-oQ2m?xf=a#Mvq)&
zDq^~qA%1*;7>OA8#nA2n5y8Ekh<<O9YvkLIJzp=&*W?!{*^b$%O-7};`!X<>^l0<Z
zk11Tt_a0E*D8H9K;PXfMHQM}uh|^K5g{aJePuB(U<6d~tKkW=(s|D6Y0%O=Jf0f^$
zpXV^sl+*L*@dNoKIA@;+fLxj&1+JoIus>epI33nGj1|k+XbD!_4)pySR?N@xJNXM*
z?Z@j7#zHJsh&5ZA!~hPwjI*|uG2;fbCJHXYie?OQ4_a~z-^p+B`4_m~i&ajH$5>u9
z@CPF)Dzs8IWJNvXg0dG=+=r;z-x$ju82h(L3L7x~KSA?ovVA#PC!iM$$SVUQp~u=B
z+RA{;%OKf*FxsEd@(aun$NoK}vJImz#Qv4YrDS1#C_zTUeb_r;v^tD6z>#mjY<+{z
z_2~OA@O%^_ZUm<$RwQLcf1lQmc^nBzFydPb+B-1bZIIee=zA-E?F1i%7*923Ov4B{
z$DW@}f4Vt-bEX?Xow3sW$=D|)&Dh{!NV*8}Y=q`h!69`q^*n8E5SrG4v`a82<ai7E
z`yG65!WjPql|$$=l$>KmKRnO4Wzxs?q9i6X1*7AP7kdbvUI3%S^eoDfZMh<I@n(F9
zzPD!?gV68^^jw7=IL~Jz&>?6zH#wJ_4O%qX4?pJAi;r<_G(rkoV-aXE>TkyL6^!4T
zf8q^#@th4>A;z{mB&I>evE(a)c9bK%YR{f}Q6<lY^ON?JzB?_fi502fnpTK@H}i4C
zYP8?PHq9`L%~79dh;PmeBLR$o<R!=8VGGu$9MY3_7~d&C+cf;@j5SAEjEH2T-&9b`
zNb-HwqH~1^v}F{7bLT~exK~>zqdJUcFdLQ*-dp3H3d+1o*)tl_7HhP7GKRyrQCF;2
z?si@=GSePyIARZBarESqS*?z^!?nivSUc1{2RSrmn_456cRsEeGxH)=XQNylzz6BD
zb`SK?7BraQA~#$+1!&&^eP!cbH*lAZ``tl<xkARV3eXo3Uk_+!UUfo0eQ?ztCB4w1
z+kZTFMs|(uTBD>d%GxF6$p{cf$oeer3m(rw4)T1Ay&bO42bB)E(+}5-r7^<R5j@fY
z7T{hxe76M!#`ZekZdcUnjdut1!(3Ze$e|5BdBvy`W!Mh$O({|G9Wjnza%`O;gB+AF
z&elHJqBClrljN1LsqVOHi_y16S$oWN9=^MPN=Nk94s)D`mfavT=2#gE%fp;dM&yLr
zmYGaOyBHJmWM6>m7AWfq8r%Vl7;=7imn{mwbpd$F!DkP&&qC{-=!J2)vk^TnKF8fa
zTEyO*P10xuUeoa11#j*!uHLq|laD(sFyiLuuNih*Hp+9cR#U-AGwe$r?$d(lC?ySk
zcS4IG_+XaNhc~6p)y7P20Kd700+0ctf7DfsVp3ajgw1iyOldCabA5BgXJDWE(OWZo
zk^?W2%SdA`-tCh$xK7%kb`IKiL<@4*8g+>YiGk?BQ8&@AYJn@xT^n4df~Pk46~Hz3
z6|?7QXf2XGr(irB0rws~q!t(xcRy)xH#0NM8ElE#)cX18k)9H@5=TZH&Uxj&rY7ou
zmDvHk<YCQsLoF#e6FRU4<(7)<r9cbj0@zm?t|;%0s88v(Lr?URIBxD{YL_f<-x8Gh
zn_7gLoH~YgXaT5~8RyPK+dSOQ0N*XpqaS>9OzJ?6pJV3!O-qip4d`=~)A9sS%2iLE
zxk_jyn2YA>pijbi%L32oxK9t$^UJ7Hs2y|Af{|hRN35BP9$14ol(ONx(vzf5PM?Xs
zI%UgslmQA{HyQX%nR}iZy+(S}oM~qM>HTmHGaySVnZ2eI)nw0{M+LRnALpMw4)ZVc
zdT1Y-V_d`~-1}*0pAHG<;f{$<N`S42ell@SO72;<^Wir=UV1c?En^I{4hHJeLncMq
z2L-m5@d7`t*gI`A=av+7@JQMLWVtO^opiKKpmqS?E^L>H`#iP4C@wSP0&SV87ibgw
zZ<R1F&r==58y>!h;68KijI{9F1+Ab8oYMsEb<ky=o{?VqO|0p_#u6JP@XfqdG>Kk#
zD#1Iyz#KfY>*R$V7PIwHd^77#OU{;z|IpteA6}n~{IE_Fumd@AVa?A*cG;e}b>izd
zzAHdc;x4@wO5$ujo%u#afNN2M*}f`ZAD&NW0G23Aa!21PgkBnfPa4p76Moku`D7cO
zrr;f7N7AZCzcpxCi#GK0Lg<bD73C1doko0H=%o_nv1D(x$(Hors!=n9I?O0C5>5Y(
zacZI)qLe!DM#?onVf6MYlE2xKu{`oX?n{9E8gR{cFDX?536`Ub82B`5@MI0I=plMh
zUq%2Kv1Sy|i|Ki|n{>+HxfLZTGlofgMemYX^24A{2{YD6y7coHV=Y7pW7)@nKTjt4
zVeFSNWO7rE@*^na_=pyZFtQrlJ%JXKAIHTQcsc6UqaGudRgh2_S{*~pdel6MUo}aZ
z<@jdiy$Ev{!Y3*7gai5UKATYY7~T!|&B&~m?PaXI68$l6UjfO6l08w%Rj5;ldyTmA
zxF9{A*Qf?3EGH#KP`MgvP*#M`T5xp$G{UGw#CirLjI0yWo<t2sGfQ#BHr2Q)#T~BZ
z5a?7VR|2Ka+4r*BUW|ZeEqIsyLoq1w^bAK{2kB7uO`yj)4&$1mP_feK2Wi-EJa?i%
zn=lW-9mO@&fO~cL<~nE0fboq=%u5}1MhrB0)`YQCu4K}&lDm(wR@RK6pBPpz^+X-Y
z4D`a0Q@>c?g*t%!lCA?vJbS`;EYE~--?N5`Yp!qRdML>-`d}%2jz(~yffDyU5wf?}
zz26G770VgNVMd6%o^@z**}LakNYLPEDC(amdZI5zFESw+onj=1HkQ#>`nR+IEGJDf
zsZGg?7d>L^$Onx|%_mTsT9z8s2mQ-fC*xCW=jGYy!N;Ln)4*FJ#y|`0olx?0Ezh-4
z>+!^yr+0(U@B#3xz@FrTQcMP5dvcS#F~Z9}cs`4EgP*O?Ke0R!5Ur6HkEFflnJaoW
zi~y#gJ*_9BxkOyFV?+c*e8gO|*v)apT14_Zy_XFu-5Rw$6xABFyyz=q!7acs(LxK9
z3DnL<Edw>YShE*xrmdoF%E4XQQl53A4?_Nl4~R<ga7~|zIEJwVFLTcvD)9m>cXLps
zOlaYC&>_-bKVD{(GNK<t%T9#NzK9Npj#$npCCA1)lu>(J6P<NI{Va@*2!f>?X&cn?
zGU?6HV*oYj@er>uhRjb|Zem{A=@fjoK|P*VB)TWg%0vkfDfuBnq1TcFUU_nlxHJP4
zTc8&0InM%+9`SuPMxKd#tjpQq9JT^)#JU+k&#aM_<d(BduZw7rku@S4N|#Xydg=7w
zID^^A71$On1K9aN)M|zj6MfJN^P=X>P)d57J$g*7(K-Vj!nr7C|6P+@b6t=#VmFSL
zClNbh%-ruC!J7{ySr|2=GTa07X*vI#OX8B0WRKJYJkRHcrSqX(N8FF%iffjqR(M8`
z67-|J=NVEC^p1%&c^WPSeY6C<Fpvh(Bcrl;Xip5pSOvX2`r7%BPOBsb%`wZZQAUi_
z5>hdfw0LHb^OFYJ%nUHb%-_UXj3)CW3D;RBa1D_I@hh<$Q8+aSeP(8xi1@s^JZ-~q
za*r`$tmBTi-?@kLz<UEm%DJJwBNFuD1=JAS&72oco0y<N48Yzf*9gYi9QR`Ajp#lE
zy~St_@e>iOp1dNrLGV_O+IeVS1)WD9h3JAPi<(eE>(wW9Dv=zuD>W-mBQmzZ5)Vo7
zoDp%9jeAWfBc9^Pr4X*D(;Lx;5VVZcShcWQVdy6zn6r*2bu?`e`y~1yUL>|iptb|+
z!t=1imrby{<tR%L)v)so@IU;5Q6+jJ2Fj|@7o$y#U~>+L5yKb(t&EFWJTI9*4I4Iv
zW29{)=ZvJ2+fsa6_;nn%k*B-LV1tX3b%_-UQKJ#O5Rue@dKj^!LujYsL~|itb>O}>
zSr!4e<h24L({Pt`X<3ME7&oWwr+s5Qy$QdFZ)jDSbtMX@MtyQ~0{1xvo(m+_B?6-?
zcpXMPVlZYjt0Ai@&`+T3RFWoJmt)j%d>=wd9Cr=@JrIqa1Z|e@#F%&zlz6NRJre5?
zLlvP0S8OHvrxmO~%_4j^B_n-A1{_%g6p4cB@n*J}nc(B-gBY#`J?%uyt`fCQAX-?2
zQL=UsJ{gZAw?tycz<(?$QO4t#C*U~;4>>YBUy_^!MthGWM|S{Jt3dNKdg3Wbo)4fT
z%Yl#>@#Q%>o?_tnUdo5)koc9WfvBwnpF-4Q948<_4eOBSQ%NC=Z$=cE(cn5diM&K<
zaupv%M7IL1V&J+E)F@$6Br;{hv=*gDP!@(vi_z+IQc`=+svcKd4@bdAEoyM>CZNxF
zLbn#<Ax*AAMwN*!h|S|zO%7;r)e@&LOT*j{Ba7Tg{3cG}s^A*oiEqZy%Rq;oDCK8B
z7b;kFO}Izh!jrzl{0ejscS#k>1A?c1iLZ!HiKRGd=9RptH*+`4KoRRVqCQWTa}?fg
zK7)R_heFuH8uUgbY7!yw%rfQPgz^-umvYp~g+?L9Ci-C{lxvcjHvozj`lntaV)F9N
zo>xe%Pb@?{rQn<XrwiJ&fb;;VrRc9x$1&EC1^$RTGC?y0o$2L#>ASjk${;)Gtx@~?
zv6dSp{dvxTKWVQhN7A4b;Y{$PKkZ}~+~>fi<wJYAl2IGpWfUYI_rlPpJ<)=CsU^lh
zl-CSYsLN=xsUi79goe7r9;wi{q|4|9Z2@B{#9#F5dFtQ9yeP?N8_|4goVX8yR{=Yj
zmyEA4n#dJP8%*Du@d*{9Ylb%YkZ(lxz%vI#RkU8+lTkrNDj6qa-o%epkc+xmq8y{)
zlK@fdhI~XHbFdOzNmR(F7PBiZ>?5r`V?hDXAoe0UWo(!cInG2I(4?>3EE$(f!ToHE
zgRzh1=#hx41@2^`*8q6wgYw$s__`)nBcqrmWX0%O2Iz3^7^!BYhR-^50v|#2bq;=$
zZz2o&<sP>2vb!xnqdEG`LqBbkyrhBx^CL!bHh7Mbww0Kb@%L6hDw%@5L=Li7T~Stt
zIcuNfmWZE`ZQ4d6XU=I0&{5Go2eRW%VB~~&kbGw#TA2@8uH>mnt}-GcFQV_^e`19I
z$`y=*Sl&ecso;zJ5~VZ4>Bl;4jaJm$9l$v~CL(3x;Z)2|4AN}_>fAew5HYU7d^j~(
z40c>%2J7&hinUV+%EUIzr4V5|7@H3?m`^2M=Gx|djAG8)0EZlaP9rv@mrAdWUKMpp
z4JZ?@)2F6Y6}Y19A|4<O?rqLkA#_~|+S67#kSNE<-Ot_4Y*7_nQPj*3rLY5W*%fl+
zNg&38xC0DGS_idCV9eH#Gc6fU5WA2CTi0MbS>XRTMxBBg*^dztV--W!@_7eZ7}`PF
zwPKWT1oVxGKaOLZoVO~BGK$^qqRnYYmiVIzy@a5V8?nX(p4=$|?~2$8ZB414LQaab
z>Og~jGObB5_~AbP3zm%@&rxKe>d?wTo1N${h*sN@Qm=rnKLa_^3P!Ou3c+;^t{88i
zmZ7}}qXvC`&$^dGRtEO@Kd=t;2#S-ICIRbo0`0htPoS4_td=Hlwh!DgRzlC69<~bk
z97INJKl(}m&wqeN8}nN(KSwDs;VxtoOF^d+93I7Jn6ad!4<g4~3P}|r`*;Xav>~DG
zN%=9R5(jN&+v+jyQ^+aq1=mHOP>7nP$ieNviix7dPH<BWN_#N65c>WHbX2U2gOElX
zcPg+VLilwMwKa@#2d)@lVBCo3>}b*IK(QFSokUv~Bjj39#9r`y93${!_52JT83R0l
zerPwhf;SawrU;|lhB|3LiaXJ=7_w#*gD3qM^<qSYc8~aDFUD4f-}})MBNCMu3!e|D
zLMhvnf+r#c#-n)6xD4Y=oc)8~gfSt;NqDM_){apvVj1pHMq{|{DAjW8H6i$f0wXMp
zV$qH=3R0PzKgLrIBICLrV|2jt7Vt`pT#j#IBHHF+NQUdhLFrylYC<o}STn}KxK9|e
zs6s~cIQo>RNh@yQ*Fm(g!96h@ZSrpLOaF&Y0hNQAjuo;OBcujl?mLDZ&<M$uVy{T_
zS%GyDhI}efvk~_XV5g+xijrkyq6VD!u**(?J~Il8Z}N#e?l?v<s5><1NDC6@u1?1Y
z8IK|2(XoDy<38;RF|~x}XMxgb-1C9264WxVFDo%R8=uAKyAAG~0_UmF=n;G~(#$>V
zot>fY!<;E2AR4%AMEf+*tj8*1jDq;KE~()x^vjVDCozuWJp)1Cku6Dq5o>xU^q;(E
z7KllRB&e-Z(Yu6w%t46)jh%veCb-LlPKZmMp0^;0Y*;H|q-OXXguV)3h0+T01Y9Qg
z_RtOO3$YGu3H?J_6yl(CSnPI5-rB*MrK7zL3)B+z7=>r<fmXy1ZZbiMaUJrPi6`?q
zLb5T*oFTDKDy&E=TrsP|-hHrA%~79u8PCsUEP<Xa^H5%_gWf2uE;GQ41TZ3S4)T1&
zG%bKBIwxCq1&4g<kH~=M;5oXM=(RWK^4U*jM0u7aJL#h{2E&ms&q!p&XBFwOGaJ(Z
zHkVmYo<(D}vKuTgb3oa+!{`c;0MP|4q8F*6jb?O&Q6sizmYLSSbFz$?AZC=>gG1)b
z*c+cU^qw4~?7XZrvp&o#a^&9A6?|HN(Uy+LcJ>0TOwha(W9PZUbMcg9YmBTlkkUE0
z$CwXgz`PN2gv1<-88PR{OecF`<f8y>4P2dzaWR|H8rY{ZWSNFK#7<{V`7@u$*av66
zKT2)vEoP6I70SnVdr)U|f>}mp<yu10ol!dtt(XbsINE>@=BJoH<(RtS&E4Gvy|)4v
z%u{zny=+{uUq-kXDe|I8jAOJz@5JXEQD@v|KCW|8DvX72wH5%qaSt$4$(iSzFgn%&
zeY64B#AH3d72^ub=<-A#SG6CjIXyXVME#r-t^~#uTi}}5m!}GOnt{<a#$$M{C4jn&
zx-i1U*bbv^UPOoyHl9M@J+@;0kh93R5%b(Z@RARnh`58`s2}PIyf47)5mj`8lu6ag
zcIGG73br+HY&Xy)dgVSL9y}MVh}U|8F7rYiaYgTgCm@)6<5>pA5Sdvwp+9m!p$%FJ
zly^rTD(Dn|BSvI$@y%zOwdCy3EAyjO2lT*EF^Aj<eTN~t-k?rf(GDEvV^6DS*$q?^
z&?ue39W%$=8$9RA3?3t?+_^22Jy5$dO2)VeW2D5<I^@6^r4C}Gk6du{q{--ETkuJ}
zz^r;&vK^n<&Brx8Chv(U#^Hh(DRZqB=94m^P07PmK1u|7%7YB(7v-TY&z?}L5^-wK
z!8%H*mxx=L4P}go$c%DhevtWbp0;5gl`XteGK}mRXve6s7rFLMv@kQBinmBg!$kkg
zyHe}YqhijINS3>unHw)2&b%r$C-)+41~acbeZz4vc1Qn}QSel>rZuBXOq7$Fja5Kj
zgSJ}3J?1%SWBC*cBWaB88Ngt5xbmSkGkEk&X~&471GuUKNA%d}M<+1P3hZbDYMDUJ
zWsnQclG09+2G`#i*hJ!Kda9>z#b@uC#bOJ3hV&5Bq`f1CW_E#|hJ$jhd&UQ7{|wZi
z_a8tBktn@m;%crF`T>jw(np|Q&KM+fm~l{MNdqXEC@DuRW``LUV@`!00#A?fNonsH
zW5)T20_t#wSIqa(R`S$V9r_L9n^%l@QEseD{<z}LfES)~AR6P$Fjqy%*TZhpFQi9M
z2UMGax*l)D?TkM1n|U4DYtFp)>^4^$X){aBScWG<a>RXRg9gV%drDN#wMQQ!iWy`a
zkI^nh9%8u1=rZ}J#yz4L#y?n#ks+S`WfqUPkNHYUzY*V+=+8n4<2yRq@Huh%LX;fi
zBHptE{7VUZ%G8UJQjV-aY|Bg_v&zg_ok1<;pV*cjC7<o)S|iG1jynM^B+95GxNjNR
zWNv~vHlhs&EjgDQ1LIwu*G6xFtB{dLX2G}y7)PSixGwmtIdkshfnL?wr_w2JM#sEU
z%WUO6*~InbokHe4Mvdw~iFxF+XNQ@qV-}q`aPLV~KEKL&<BB5J3Ec5cM>76ItjMRO
z_)U3{KJ#<*VHuU>YWF0}I4bk$-brchG4enT8C@dQ=BZ=)NqmZmc}=2uMjwgn`Lq%9
z&-4Kf0E_ZjdOjV^SS8VZ1$eY@bp*c|Pop=%y-ifk*d)D%3eY=+>nfBIAJ<~n@;Pcg
z+s-qRr_eTxGWuAI^YU31%9b&72Q$KR4vf_s_~sQgxrK3X&oY|K6-Ixb=PD^_MuOQd
zv$uS9hfh<}6XfYh`Z;_S+&f=Qz7B%}p0VZ$OFn(XC&76p^$1F~0rB%{FAzR`>O#~!
zh_>`+j)Efp$^fJEoD1p#%9t9|dw!26N@=CjVKrz483CZ(q&A^-_x^>@p0i(z8DO@Z
zvgdQ*`@!W&aCZ>D8AIpO=JcH!(L1Hd^~ZA!Jj+6zsiKdrurT~v9y|@m6EQqjlMY$&
zikTMX9K3h~qm!JSLX3kw97B%>@Vg}G5%Ro(m-%OGo#*4}cQK#g<$V><rUl@+OrkYv
zf984UgL9^sGvF1YGdw@Sb<DUvqtTpSo(!P>dG<s+qpds#!?P)D%h;Xwv;%z&_U7g7
zcowKVWJu&p6v?b1ks5m@&Sx~sh25a8Bu7E~BG-&>bEVS<X~deN92t@4$!X3R{XqT|
z6#9x~;E>)Z{~7>W(6VrbDF<pwo++YrBR+2rN%z2C3b_)eya(Vfiwwe<_~H0VEZ5?F
zlekd~LCH{D56ArrfQ@@6(Trz5xo5qz6MO=VD{MDr-~b{7Tzx$2TMIc5Ef5V8RrCY3
zt3h?N7$qj)H5z}3<u-heKtIFK1J6OyZy^3^!U%RE#_=sqw!b4^!HMt3amN2)yzj+p
zhI~RkE9c2&@;&(#PBj06{`hxWh@1<6!3X2C`(5H*@hDEZFBeO2Vt=LhNURcX;rlJT
zUPakLu?X+SP;VSKxegvcKgfcf9<xxiW!}jTJ}bw+jKE#TCmFnF8A~8dPybQhQ5O*%
zcu#`yY!TNPbrmC!+!LpgyMuq3f=}Vmv**iu_Kq<c&Kos3JyzOno&{homFEq4ezZSg
zw--Zx*FsvHo6#8IWbi%(@B49@e<CC~3GY$KdGqG$T#Sb(ou}5gD!E6Q<=G3#{)-6C
zM#Lt*!C$iZTz(2Ee}Ol@*B}P;3r@;!!@lBqoqA{l?_^|8tQ5}Rb?ALE`n*p(C}xV;
zkn&@AKPaX{;*-F^b(qU;m`4Hha~%Dw!&&{6@(nyKun<ovOpwoDHXp>Z4zFSEKEU%E
z8^IH?WdW!^fhQEc5}QOw6e#B@1C$$-dz9JA3}p(Qmzajn>y;~%3zarXz1Stb6K{(-
zSVQ!N>oKO)SP|3YE%H*?QD#b0#@z}$K~aiVkz3-HyOr)4H}3jmmTWCM%k$+`a*VuR
zK85Eb-a!P)J7dnXFVqCBAUWo(dD6EBv{5g33jOiA5M#Sc48#f>hS$}Q_DFFv*7VKd
z7R<#I{7s_U#8k-UcDx=GGsJk*xL-VkyVpQw(;%OlvEFV?-XEL1o`?}#hxb&}o{kz1
zV@#Ch!{T{7sqr$_>c<%Aw_?56BKC*_;;<+cXGE2#!K+N17L}qH&xC9ff1%a~VwreK
z+=KZU0;w>fz<A_#oT2|3J7oo)@pu9fnk;XXqvg$bjltCvc^~%E9QmSr6SKb&dx>_E
z>y>!17MipeyK5VE*%zSk66AF+p0yc_Cu-WubR@FFkn&0QgnQK8<!;0KpnD8*)?~J9
zDf>Xix1rBBv5$9Q{k4M39uRMW*BX(pT&X;vtW}OFrrJjxr9P>?t8P&LR1c};YL!~1
zma50pt?D=G3U#`AmD)@#SH8gt=!oZK7GfTXFqZ!Er2CxP-QD5Lbh<c4?YHa+c00S)
z`qx@-t+GC_KC#wWyR4X1V2`rjuut0s&YjMBC+LoI-^H5fEvL&5u@`)p(_0|%6=F4>
zs`(o4Pq40D!YtecISxa#ARGIdyO~;_=jUj<c#g6&bmBG8U$ez4crs@jW+g-Equh+u
z`kL~cvQMd3f@()~fI32*q|Q?3t1qkXs9&hxsXwZ}t6MO(UFt#gfO;6OJ?cLw`$b)&
zzM(Eqr>WPfU7$+#DeqzRcUKC<Ygl1Id?>GzmiwW5rCa7Ka{4-l?C0!$_9^RKYpT`P
zN+fn9)+gRd%u76-SeSSv@j+r^q9~DOU1&|Q-m>;v8TM87^Y$(~!@0_t@9c8Y-J$Mc
zcdHweS73&|g{C?e`}YHJNMtEPl!uhn${|Hl`>JEq7r|Rx?Wx_Ny{i4GHE136k@|D`
z=lTKN(({cAjBAbCjR%ZJjoJ8|XxwaEVRSI!`fmMgeViWDf7B*ub?T$4qs+l`OZSRH
z@^bmH8*m?XPT1GlTdX10zlpJlQ2d?v_3@PW{@D81%GkWv+}QHi7qP9erdWsg#P~<?
zGw}-&ixWo^-K|;H-&VFg)_&VA#EedG-gFK*+3wZulkPWemD>qxdI?s%id{NK{4C;P
zpt4ZersS*ls+-kj+C$oQt&KiI-=;S=?lQhLq;a|VxcR+VW#;(?_{RC}^*!Kw$T!n>
zr|){-1->lbG4oCHb~DfX&bZ3ht>38sqP5cQP`^|h*u`h%udeD|?JTf&TLsqKL{)rz
z{6OrMSYz~+=*7`kWM|}q$dbs4$Y+s_kt2~{^s4CG=z(b8*uq#z?27m&aXm3U@nfR7
z^`N!g>Tb`skJ^2l=bhtDUv~la(D~Srr{!Srq3|nr<4Lgr>gQ@pZIR|^59ufMYm6U^
z0`ny^X5Qjk=hOT*`d9jQ_#J=uz}10U15*OG1x5!3208>n{y+RL`LFgnzBRs4zBA@5
zGh|FL{?uFO6SY^>P0DFtkO6YMJKtGjAGI>95s4M?ve>n;KcfSqTO!jVog;<eufog1
z&xaR<SB8HKSA=^;?uo34xRH_3FQa<w*4QtxHt|Q}yW-sw3lhf?eXRM`QLCpt&pv|D
zyy#Rq!`)BaG(1^WEXRs}#USN3Wstg49j%?v?$_h`vqp-!#7y_SfH6GoFZYiKd>W8}
ztAlfc-v*Ba>w|VM5o`(;27d@X7aSOj2Hpw`2psfJ@mKjK__msT%omKkSYsDyqt$zr
z>0*|A+Fj(lWq)S<o+yiF#IKAkj21<PM}80A5N-;65_&jvW9VYMt_j^2dOLJ7)GNFo
zTpGS6@@=F;ba_;X&4`_d4T-Oh=OrFZ97y!D7F)&Eh4u=&+8&5?*5F+0e&uG!nb3|S
z#Ab0JG*UlxoqD16t2RvErH?dD7!%Et=4ju)zDxb9{lUO}fxiQ}!BN2#!Og*Pj3qrK
zJw*m9gIj{jgEt2=g1-cA2_*c>{4M>j`*M9tF*hTP5A{l|K)YUjP+2L~$t~``&T-qd
zT3eST?ux$=I}z;_og1kQ&kP5`UxcQF`h-$Lk)~*q87c_f99kMW5jrQlFkBnHIkG9z
zGrB6;CiZeH5Pve>6rY&blehvpvAO+}U2G3>Ry%(8UU!ds8MJ;2ASA!CK=G@K)J$!K
zmWRFD-gwVwVZLmtzNx<bzRUa{_+9^~zz2bfK=<IJ;7h>`!5x^PBf)*a--7Q2?+>0A
ztPi{wxF*o(f5qR{|Guxl_p0d_V~ij5JpE?v9ko~~P;SDWS?88JdCm}fj<q47B}T<J
z#9GD{MT60|BmE;s!|#Nrgf9uV4V&SVaC*3V`0DWV@R#9};a-s$ksXn)(dVM&(Lu4b
zv8?zL@sjx9#FvQ_XoO?dV0*pY!FkECotbWpI|H`nQQ?Xwm2~wbwYB!4R-k{WcQoEL
za?Pb?!kp~;!`IF~)4$1Y28IRZ2Yw2i!m4W)Y#Zzt%n3FI4hB{S9t{i%qy~;)_w@Id
z`xg4z_&zf)Hg_09jo<WZ^z~YAZJ8>S>B^tL2QR@6-s}G8baLj{71kxz`xx1bxC<@T
zGPWT)HmXNAMCL|@MG7MM5r0IBq(!<#u82&Dyc^jQX&xPio#aGE$F{{f$6t)s$L~n&
zO!T)tw>sNP;V{l{YMnb^VQ+-3x)AoMx3W?()F;%CdXu(EJ4b(BFV_1TFB<!d_U66j
z$7YS$0efSq?+4#8pX<x?cl7u2_wcv(=llKs2+DT&KK4Bd?bh5^Xs$LVnEB?v(A`~(
z?fT7nOnXV|p?wN_dq#Om2`aAxJ$@p4$#303?yt^JXNNru8oR&sSK{VGU3_W0f4nO8
zMr=eZHFh|<Cb~HKNc7(5-O>A_&qUvh{vNH0wvOEtdo5NN>lvRHKNug7Seb|>rda=2
z7uoOI+0N5WjdQ2F*S!v?qcbdSMBJ==4Ky%H{aCftA=>L&xz<a+Utg<-^{!Y+ON{S~
zLxyX#GS4@Mg7dr0`^|ZH%{N~(7n{q?MYwv}yw4nB_Apb-ea4%{1f#ieM*mcQQXj0_
z+E>~L&CuRg&sX;=4=8EM=Rnhi@)4lLjqWh_u=B8EI4kTP_8-<{OR<(G`X=h*uf}hR
zcZyrF?XlId_hL`Q=HUHu?3389v5HuJd~|$eyeQr;@hmLu<-i=OJ=y-p?&K`MoDGJh
z*5pK>rl`CLe#c(XL7A$2s1z&h)p6<z>JMrO4!m^JuGa3+=4-399a_DXuXofh*KY&A
zpXxv9d-Xy+)o5e*j6TMAW2$j6Z0-4m-^etAMw7l(|5<-kpQaDj_i2UNGT0?oJ)<sE
zI{<U6Q7(sO{{rYG0z7xAtadlJx4G5Ma%Y;OI`7(3?R5Je>nrPC%T2`bdLwZcY|-q*
zq{P6)sKlN4H7)UK;+Mq1M6Pv}HPL$0Dzmx(U9GYm`$}hq^SxuZ1KfMu^=`~P2RQ0`
z_)4Adgz!S~6J{|VsC}XGxw1o1)&A;@>fJy-zo>hG>TIBhLE0_A5v#P{w0&B!c2N6E
ztHi59E7Q_-pI)SG)Q)KDwWqYX+Wp!z?INw2=BR6do1OtG%2(@wN=7I>fCKCC1oZ9j
zT2IR5@=DoO?sDIAA9XKr+qx&5ubsKh6vyw>+lTCr><8^h(0Nw?{|vJS*j<4UJ7Si*
z+k@=8>^b&K`&D}zw8u_6YG3AD4=nkSv%{%#;?Cvnb)dJ^ZAY)j9VD;A2?ECAg32QC
zoRA_Wg31JC5b)k6JUM=+GF1Ik8=<yT*J_z~Cj3uz4Q4k_o26Z@shFMl+IrxR5g5%?
z+7D{J_BXKYXX>TuRP{UMeATDktvse~2I6~5nXI%^20)H{y5U8{QQnuQ-Okc+3uKXd
z-2KUYOnw4wGtZsx=D4>wk7M25=;+RF+jPb`jdr=c2k&?71@>I~XM2Yov+M1CSlOMO
zHO>ppCg%u{Uxm{_-l%i~ial4<A^*NhjzXsTenbPtVa52B=0LQs0IAQ1k5?sX#W~8O
z@Vf3+zE|GH8vYcx_O!B9xknw3z1mi7uU-!1dLLfrYx{uK-&9}GH1%zDs5V|*hWY<o
zeM8x!JgoLpj*8Lh`AQ4XU%639Ah%y4w~99KL2d%}T<1RO^cR1-SGm_a+uTg~uCv>D
z&^2VPyV$<TdDk7~EVmvNZJbt4g)`WmD)%IsoWt(3c6)i$Y3*F+9&}CtZM1O50t3X|
z?LfDdqRHVnDK$>^!e|x)&3BfcYZoYYI#*~Dl|RHr`Mz=i#@bq`RYt3)!~pdRjI*UO
zPsz|`VeM9H%YYl_is|}f#jkvzj>p4MpQ|<Mr9j6m)m7>l`JM8&*sm-W+m#YAM`mmH
zE3?IZ_lWwGGRDQ<W)y4OTip_Sm3-K}!Px-+^ATC-Y_})Lr|qF`4d&r5d8?D<wsUUA
zUkJF(dDz}!KP1cDhwNtV4Dk`iEguojyGv}IkxF&PIwyglX1k}|4a$0FqTDEk$ctnZ
ze8Owx4~P|%iYpMmc}Tervi?bQkV}kzlnJ6le5QY+E<nU1OJAVAB3f(DE3c@TO1(T!
z@2AdpN2<FuTaK3}^eeSnVV}<c1AOCND_SUX#8>WkdA_nso^Su{zNlXB1nkE}srt6F
z$;Ok9%Ek6{`+Kolu1ajPKExr#Y1V8p#J$@|!EA-x)Ao6?)ZJq5apuZXZcnGuEs>+#
z-R>;$hcnA<fmFy&XPtOME|4#Zhg}2FrCRZ$I9FYz+zsEgqq4)j5PxOigz^vKQr~IU
zs#!8!`&iu!fA>kXw-!+T(caUxh=gdaZxsjJ_tdc(V`t0t5$eZIsTiYG%OBlI%EMZw
z+;6Ya?pB_)$H-Krmsn=?be~a9I;l<<x38>q!`4P8?p|a!SOf5P6RvkQI7{UNayUGs
zf87t<=JI>{T{%bG<GkiPAt$;m+yZy6On3h$A5^-yweCi7M6?E-jmiPh2J7x}HACDj
zv(@*MDf(S<i8zDZU4k9`q_PBlRJQt@I!)Y;zZ)@Et&wku<(jSz6sxpB2L9@Sd!?~c
zb?v|9IPD&>!?{MxRIW$7<a4E!T;^8TuK;xpbslhfLD#mi=Q{U^+puO{cgDDy)6$;l
zzKB(nCI`CjJ7eAP&Sd8@_(NAY*>*p7g7Ss?m3=!b>{HHW`xduc&ci&sEi#otc=Ml#
z-{8mK*<q!HqCkK5R{N>%tGmUs%9l!>@`V1PvR)acsYa9bhceR`VLYfcDl3fN%?WBp
zBdlx2B<zwq^xoz>>K5fQbBs1#^jBwUPpOr5n);1?v3%2BDyAt_P9%};?w13dQPy47
z{q~uJk;sQXw+HsKHqkB-jm?XXN&Feliw%#rvI>E8x5wvN-4X*5^ApX0?{?Zb&R%PU
zy%@gH66X=Duj}Q%ZZ~<kn4zo_>y=sRJ@Bx{ss>QQ1zN6tLO;*A)QsqxjfLi6J*3Yu
z*7+VcyPLoGclrnVuk_vI``mAsmhUP2`J-&VW!~@a?O$uwno%QS?$#%06V->*zFNK<
z;dTS6d(HmW9&i7a=p3ILD~@)FJRiCz90g9jApC21NBCgV=%!bjW`$mBT-2zCUWuHJ
zw2C|uZ5#VNRuj7;7KxeGK`YO`9eaF~cmnZ(6Ur#{G1&i&N`-o--puG`ya2gAr618-
z>jAB=_KUVqi^2}J(r?kFme5ydKdUck*XkAe5d8<e*8IbqX0|jx^7RS4=xZN%Ft|4m
zOtDj1rJtKRI_2ZkacRd>76w-OZ}Yuir0O?nEwoytR-We`vO8J3;+MqdMVp8Hp_NVT
znhG24Xo%FeuP>=RR`YbtFEtx#bL-q%e|>%Z%ME#r8BOa#<HO4$FGRnNZ?j&qZ*sqo
z%@swxMEgVkSYKxRWjtqQ`!4p)_kZd8*7v$E1qs{5<`i>`F<(Eb)dSmnqt>g}1CPu`
zEJM>atKVT>uGEJbZOts-%f3<mO8?h^cZ0oC9#6SG_0!Zh(;iI!E&Z$XxoJgdebQH^
zwhwGEj_42T=W9iXoMnoQ&g$5d$ZMe=n!ad!q5iwNskL9#F00*KbEJA`wQ(j^wV>i~
z#S_&zwFhe+uKl6@QXCTcyQyoqW8}fuZHawWiF2_sQOh=(nH$XQzQ_HK20jja9jr<j
znYujn#?&FHzSN_^-GP4o|M~7T=Nn(^-)VKgWw)p!lvRi)kCpe}T<T}yBIPHwojy-@
z^drV<v%<W>x5d9bcwcIpv|H0#W!{uokU2G@UB=q<Z`0SLO$l6V?luOQ)6|u2tsEx@
zS^L6QhL4A<8}`=hKl514_Udhw8>^;O_pZ96;<k$B6@AJMlzmirp!$vKn`=V#e>Qe)
z`Ym*4v_6)IPqTgE3-v4gD&I?i)4^L(TBm-Sx+twAtupP;^jkAN&3GqcOvY8|$5M>o
zQ2!<7Dj?k-wa3&I${R{E<rz5^@uD`a=2kh|-7*nUi?kJb$mrvn;oIi3{94MslmTgx
zjOwhPv*MZWXWf`JCo?;}I=H~M-pDd4@Yir|ROX5-`>)6);WwJj)O~iQU-j_nQI(%m
z?5n)9$}L|~_F7q&(`!n?rI%LBs+>^uPtBJ4TN-|Dyg1S~_F(Lp#3Ru03$=V->!6h~
zHmzCu)b!`mFUWW<V@<{lnTInwW-ZA4Gvo90w^Q#3uJ%2MW5>O;UFzRTHR434<!<*0
z=PUcT-4mGXRrgh~NNu5C4=*QVR{0wJX96;%A$@yhc~*y<^K!4xl{xQcH_M!q8uFXI
zUyQEC#oB4)vp;dZiYcLA8>csHICH9EWkq`B=5k;8@QOv{Ij7$$xv=D;;yuL$r}vZ(
zt30>*ms+P`anp&=<<XntPU2>#xzft`&YzXiF72Q6uQFz3UY&JC)}+jHGp#Hqdv*42
zSzl#UW&D_WZ{TTPoguY1)f0#qm%>|`=?bUZ+GgDc<XmkXaCXZ~<%Fsj>&*4OXZ>3P
z|4Rv_j?b8%m68+9?cQugv!2a{=iQk7M%v`SH~xA4gN9!lsg72{c0u&c&|8hEb;qi1
zt{752u&nTO@3Ld3XO+$>nO^+esc7MIMg2-=l?|>~Ro$s>NyGn|UI>qfZHgCIx$Zma
z9ljI6tn`M=KH1H)^RjNudOG{{oNsbI%^8#XNACWd>a4jLyHl412AHd%%||Mq07n~g
zx6{|&kyspmD;A2GiN6z-R>Bz}+Nv*V)%rnmh(A5BD&^+%QJEL!q&3TL{%8Jk`5!dz
zkbiBqlUAQPF?GGa+URUPqF*eow6wSzHXAOh8Bsm9a_i}e(wwqkr)!G)6un)v=G2yx
znT2hNYKl*mjxK+^>dTr(>iajn8D1A%ny9cZ6~F46{2fyNN$;3-Yxa}bf9Kqp_hH_y
z+$VB}<vo!%FL!lLG+W7hDE0Tig+4?e)e}lYJm%&*zuUX4zKM8jWPEMhil<mpoX_M6
z<%sr_vDG~6TN%hq{X2DedfV)*+-vf}&H6Q8o<F2nVa`h#1u66WV*(fX7Hf+7nml8#
zjWvX-8`jlCt6Em{I{jivV@Yx8Cnc{G^*MFHsphA)6_%X3wYZ_QvV3b*R?U_5n?q&M
zN8+W4H{46qdi_=3j+BQowq@03Ka(5Ht<3G0_gmhCyqj_t<vyF+ko`_(AmjG5?BJW`
z1pPC0z373z^fbq9<s7%JwEkzcO>Bw3k;t}3Ij7t$$|8M-xyP3pSd{W|+9&D%%jlQ&
zLe7TVJ$bJ;yCuIvv#B{*>3U$PZ>Kq3pQIGJce}H#HPNd>|7*yv{jqXJS!v0jlG{tx
zl{{aPQ#_++NKt-~UNpIAbxGH<DHVTJ@2{(BYKmy_2NJ*7JLD{_(F_EuQ%7g~nRRZ?
z-??w+&CL5Nw=!pc&dA(>xl3|JW)IGMKkdGh-~E~9+gcy>h{%_H;MaC?8{s9-wSKn7
zTQjUj9h@sxuGL<{Zh0-3k&=}fNdGnCvy6u_KgxM7Z&=<1xo_p3pZ!kCDMTQDG(T5H
zyC2F`&X7dU$cFGWO<iivtvXV^|Mcr6gG>G_?OobX+^S?kNqWf*#Y0M}OTQ`mu%f>D
z^7`!1Rngz$FWO7pwc=ytMg1xN(`h-G^_knVhUfmCmzUQkw`Xp%+_l-Gvp>k%mL)Sg
zXZ)11+y92S2pD&q7$)1hBb-~Dsqlb*wtLwhAaZ=Y`!ujsJN-t}?=SX0lk!&DtLb;9
zA53qN)iL{q>?zrI<#fu9rp*j2^mX%1)>|r*<g?B|Yh>(9WJ#z;!%elXRClhJar#W@
zuG4p%-deJ?<nhumrH4x<m;P`%TsEqrXVv*N;~JdMUC{^POYF~puU=CJn<D~!Q&*?;
z$XJneajwiQ%$b<$<i3;hLDulBRawQELo$w}jt-^=hWJhMb@(H?_{rVx400zR_p%02
zvnTO)%p7@>@{KxD&oK}Bz7E`yayZpVdpFHV>yj}bqafp!jEB>g1yA_?LfraiAknqr
z0e5zyBswJaMPy3j^14$sN2}kdTv_oz#XseH%hJmhpKf#dt<%%WjPl>h>tH=k*4$p7
z*%S%?5nGwCY@B!0mKiI31;O1&l7E(dCPU3?2HjVbduL8&_K>WPvkEe!X?La$NI4K#
z?@#sJW{lHQ^yTV<;v+c*xvXXKG32n1h;&323sp;BWn5{#@2m6s110`zf)i4!QZGrh
zQeI766+B@s&=dL+eS;Y9PII4i?zXDp;aHo<hNiiV-_-4@?p>|dEIJdam|x+qzP>uM
z;+FE~D_2)Jl}oEGthu26>BhWp+h|S9uvR-le6F0UU23fM-5a<u<?6I8=~FVk$}nJ=
zXJl^7?2~C^q@<sp_D9Nj!E*v1`15@$jgR#&wdU$5WtpNV4$hslRc0w$L_is*PS&2*
ze$fAbwV8kzT2`Po@P6=_;H|;Z;HAN=z=hzshw-bvMLFq?L{9NH``P$i@rU9!Mm}pi
zw_!lTvvp3*Pc`4w%s%s7)j!oO&%9kVyK-@Li<-hSIkju*KWiEhS`cm#I~|{BwQ~ND
zvz0~aB7L*@iGN8TGv)cz=4qFvZAmLl%T4Q>wl3{h>h_dTDWg+X2Oka`@?C0nHb&`V
zHNQF;nWKI{R$bKy@Z>hNTK!eKNbjp_W((ir$Ynh2UlS<xHJbVU-hm2Vx!LHu-0Y?H
z5{KZwe(Zc=^>Z>DH9j@^Qv9M=UDM)*{H6yRX4k$~_iz27+JDbnUbnK&uIXAkzOGAs
zT3xLEvZhg?aglRkzs55YtL=U66LOijL;XabWDGV}`kDo<3Qh>F4!#`JQsxC8hm_U@
z-tkxaa{M2euNY7JCi#{cE%kc6rSYcfSD)2J;;-(F*2d~n%#RISztgzV7cf87Z#6sm
zGkrmGp#M4lGP9Mht?!ueyf#&PKwBjOuHPLF-({0+Tdk07cp`oz(l<0SG(B9<xT3yO
z<Ks<{h9~Q`){kx+SD#Y1tv=j%VMAKui=j~D<H(rk!-@BiYq{GV<F>^aif!tH+6es{
zBgI$g`^bFVSB%U<YyVrmC?0~!50v=g=DWU!{9*HU{X)ITn5y57IL_0?aihYVWTxoN
zu_|seCnD<qq0i^vqdshI@*_fQq?`Bo4#CUbq%Sv)>UV2{wKuhQ#V_!3bLHdKxOfkH
zpEWfRh&D#s$Ja()4*l6w*I3%Hs=iCZT@B?8cQyJ$Q$tTTHg9^cX+r4YCMB#!cf|I^
zudv^Ch1~Btvb9n!zE_rMf9t!AVl(U;=Kt6Cp?{NUna}t>HU2Q-W|e=Guh>}PKjf=7
z3XK05lgv6qq81y6w08PN&2L_%|Dm+?tNtb0ZDOP^=D${{75jX@`5#k17JL1R&9_xk
zEzuX~Bb;$!h`L$6hKN~%uoLe^jri~J&hcK6uYd$MHQg7vCY;yQGjyt{OK5##K~rA1
zsmX1c6rK<{6NyB&#DBKBSxS7cJy2FUZ#x$%)700Mm((@-IYyQKqPfX8%=}TGYA*7n
z`==RSBd;*Q*VTN_oD~?WzoYIpy6ZQX)78(6^L?*rZS{MV7tI&7!%ACypfOZ^-<_*}
zuFcnVqr38$R;K@I9+&6HtMv<wPk_97ARanE_IJNhR>~slOM9sEs5LX**{ZOcCmx6o
zPyCr^6-kY>jMqe)LeGcH_}JL^a7xsl=$&{iGAnjEF)%hR_CNa}drrc#KEvP3Q)Q#O
zS%j6lloaJ0B~J@$T}&IZdK2;iFX-p#>x@pu26cjFnX~oX%6YyD-{<;l?F)U5ud~rf
zG$^kbDcWZ7xAwY`ZcGxD`n&!TZG!caxWhk08DQ<v1{${eiP)i?QPVNQ-?%2CLl?_u
z+_>FN9ut>2Wr@kLbH#h&t8i+hOs=-?i2fX#?xw^GBM-V)S@%Y-j5XR{CN7Rmv^(2>
z+fO*<&I9&#>t*S>*I5njV5Oz}(0x{U+IUKdIOElU`W8ffu2i}qcJheUUYo34rk^wy
zt3K^|Jyq;ACIg+^jgtt&eS?h`L<3?3Eq#5ps`!(#%zsbdJL^Jmm;ZBhowLPR?;oRG
zA2HOrK#9^Z{GPfg_4C+o;qm6m;Ebj_<I4hXX+<F|-aTcg{4i`d1xhRNW^8DrNEswd
zD-!FW3~^^hyW(8Wd&vF%Bigxl!dJ*K{qj_Jzr4#lVfBwj)!X%%iCIoqTdO|d1jHKP
z`D^VGrAWWsnJ1<hS86HtOznhmSUxVMDxL9|d_d`@Ty0%zp4M-5PFq)KPx*dy#>)-H
z7_DXWB4={u4%q{?_`Te1>R<KWDUCUqwp#ya%B$(GHx)!a$_Se+nqIff^kr_3&<XWj
zpBisWT;rQ5I)vwHQg3Bl5<7$pa=XNMtBcH60(J}ex_g6C7@H;+n0H(CkxP}MDRbQS
zn!@UW;H{ybBR~6B>%TO;Wj`KFH}*%5yXOR+QuZab$nIKS@w)s{*{K)Vv($IBt<FyM
zU(w9jqaF}-+7q!U&gX%D-39St*ECbLnnbM|^k>NS)-uKKdr9`PE>Q0Fb#`m4?!H0N
za1Qx8CVD7^+H1&o$K8mY>9&{Gsda8==K^P}aYF8QZnsA1zlan!C@yrbkpGB)bG4G~
z?6Ge(o)?BaN4#!_l>^FjwKTCWo{=V<7ebxYNZK1#eR!?;ma*H(i!U_ys(Y>e?r-`h
zVwBrY`9l5HdCK`wxk|e;K3Kf0w{wQN&!eYo6aUMVEKW3+&-*_U-J0%GKM#EEHd^y>
z%>PvMPdU#lus_9LM}5$!&>nCmTf@w9eY)K}@qS>h)7tt)ZdBh9%VVdtNygU1L(W)v
zhk1)!5^W}~Npamr;>Y64(+6v6_)_cqlxhB>jXyU9GuQZMN7L$G&pP7U6S+ISG_b~~
zw3<2ht3C8;d7jlu*{rRVN6_a<qnq2&nu<TcFi*WBdbd1R|55+C@kOPD`HkvCe~tc{
z{<r&rwbZ#>9p`^6_Ow{4&J%l;&z;Gd>r~srv@_Zk`Bd~4{XTPmS`>X!xz*R&t+rfu
zwlQ2hVYO1P#j||2wcOpL_i<a=o7Kl~ro>F#Wn{``uI22}hKh}`Q~DtFBB#B)RV~r}
zw(nO)iZ&|#7arlahZ&dY*TkagbiI`uwO1oE@N@i>`nFaktXQu9K6hXAk-#w7#nKXQ
z29_#wBAvyJfsd^N)*sp*;#Jw!`rde0lqyd+cPjg&qKyX!Q;aX&VfJjTLBy4m#3ti?
zF%RcH&NpW2KSuA9$9!+OPg~E4_1Yo(UfImiMNBD1RC$^;LsS???E9=6mHB$YIT+n<
z>`;cgM`G9cdZ<0)YxQF7`oyo|N$o!6eg}UQ!(1n_61~+WMh_(#yHhJRr#qYDJGDjn
z9BWQuxmls~j?Wa&89SV**6m`6Z<$?a^>QsUPuU(BD8`%P)w@Dx^xF(PpPKkxZD!7}
z9<w)Tx&C$0AMHH<P;HoXWqe2A0r_fdv)Wx><6agG_%96<H4Ju_`?njv)V(YA1gjIf
zBY&#D`}api*b#k{Q5YH_KTO#ay)NeS<r<UY^Aml2mF5lMiDIg;O1l~X%jSXmt?y&c
z2XD}pNA|db(_)ET(WlLrZ%}k)d_wvR^}G5u%BJ*}@n>7#(syP28$YMvF8!MHA0rDR
z1^#*F4!cWedSH&eDcW1x=Poz1;x8yStN*$SaiYl;N3DsXmGXl+JbDlE-aD<f&U?b|
zE3kfx{^a{r?`3@yKAN&q9TEH4?Vz;~Lu^C)ROywdLgaUa5(%x<O*3K@$9ot%mBSWx
zmNFJ+wGiEOyC{$2sP<}Aan~ZZw%U1CeazWlx{1B^gZgT1hW&HwCUdB7V`Qkk*gq1v
z;#7B_k%(O*o-z>MPjpu5wWDff^fNa#_^DVLd04CrAnV`siT;5(QoW(>2LERN0}&yg
zRo~Pn#53Fhz60@dwY~NNb(9$F%uwemkHm+ouNqH9PwJ=RLxWeve@N{0?UKXYwux6E
z^Q%K2>aKBJ!g4!_j{e_c7u!Yp6#d6oPg$YH)D2dXHPQG$J}p`%E)b4yWn#4W!Cjz5
z#YTG{o;(<*cgDk@8A?R^-qGz})en_tl$)cM>SO$WCPv!%>cYUh$PnwIV72HPyV>2C
zvOfBZvsi@8?U8rg5rNASA3MX8J@NwOd8=HtMNy(sT(A8kHzcy<-{urq5X;u57&{Yq
zO3{7HP!mDrC1ZKG!FX1?%&kj2>rVGi5i`S6@leV-x!zhGADB|?R>dZXLHh4vZnVFy
z`G1aXOdK{p^>q*b6JP58KJaSj>*%E^Z|N7sm&85^UZp-~<vY63Pr2XTW2|ydTBqIb
zQ)kB}CnoB9&9-(Ty2iNM=xTSh;^IQR*xBzMv@g;px+(4znAa!83}=Kk-F^o6KjQRJ
zq+Rd6q-wCc*~**FeX_H0j<eN%L_J5{rA&?83;m0~_iWk9quP1yuhu60H@U${75%k&
zVnkw<QmzleDX&FZL|qbJ<YxN~dsDoJ-e7!~80cJV6sjYv@%B$f57mzh$X&*Gb#UU0
zn5|C|zr(IS=YKv?=e(%gWAu0Kix1RynYUZh;+N>E@A|}v`1SfQvn%Z3t)?Q6IF8#_
zynr*JlaV#-<VKWUPIEa`D|32^xz;znKkVV|bXlU*X_v=Z>i^)x!a4Rd5jN_rZ=Dk5
z4dYb&BIh~%XY~T>8mF7NRxV03iCOCZl+B6lI4Rjf9V@F6?X~^x3H1}VkG)!-C6>b4
zW+>liPq;<md^@83qr7d6P~Xvdi!Sl@#=F}2c*J6~exG_c-d?<Hu8_#cBLdph8sSzU
zkMW*$hb+d*$c_h~@85R%#(NnzYV(|p(c8?!+W#TxD!`+-y7uVK?AS`2gkZtl-Gdej
zUfiu{(c<pKy*MSfyA}!V4sp-AWqn8fv)|u5ls?Vw%$0M`J@?%AeUDLm7l_0!QwzoU
zz9*1xo+4lK)>e%p?@RN2I+CPvLM4F}#7Ara@-Vm+8B3gl8&)suw^Hb}Sb=DU<pn#*
zr-{Xw*FQ`-L2OYH;f$V*`IX-CW92;Nm%70n%13!UaZvn%X36)_-|&;c6Q~^<t3)WN
zQXDZ^xh`))W#tAEspMgT)Bt&mCMmN3FSP+~zV3?;kSge7*h3=G6r>BR{;M(vPwfI;
zCR$#H{4PbRMunVGB36O;7+NH^z((Mcr1w$>xG_%(-NP=(PcS941{pz2k|X85QY85r
z{Ty5-{YJG$S_a3-k0`A?G*lj~O3YUBAxeKCEyqs7E!Ysa3*HawFw6gqTtwsrUP~wO
zy~Lhiw7eU3&R2oM@)cqSdSCVg|G}Ps#k`f8h+kEml^fC+r2r!pxO*p(<Ys73aUDJ$
z_XRT~hFk}hQzHFE6ibh#m3S?*op?*CLOeiw%Uh+EL|vprERTFcTOgODUvd<_5&IPK
zNs~zd|II&7X+dsATLdGJk7!qHzNki*Ay3hY@)_g-njkkoX8<mI6t)54z-Z|r#1Q4B
zy7EiHiZlzl&=uq~c|%|>xsB`_S|6%I3?~kRX2_NBL&$is8QdBTL{g<pWTrfbTq1Hx
zOX9TBN^FmfL)Rb&#S_R{{6*+DbdEd&JEa_yryv)U!B_?H5xPW<#vUV;gRk*-D6n!u
zPP7{FO6o5CtJK7GXlw{<5j9Ay5DHMB$HbNB29!irLH2zjtZSou5&0zFKz~R5%7Ks>
z%fV@BHGH;&m>>zFM&*|)%3qM{aA$W_x{n@0e}kLv#Y9bIrMv)U|0&)<Tnu-wC(skh
zi%@@6jB*p%BY#DD1IBw1-dPe9Nt#Zv;$TH3`pApu*1##akNgLxut(ky7Q%aCtph`X
z7^g>4d|een)fMX;^obnR0>*HI)K?isoKu#HaBr@9Bn}1SLpNeKQd4Y+CMZ2sKg6xl
zOLQj!_kO|cQhodYxhXhUY=PPEEcu{ZU;KoBRg4%K)FTH0@$pWwh=1e#l}6YeDMh)4
zzDIsTe~1sz*62FG8>gbL#QN9*v^g?M`de8<J`HU~2g|W|eK8&1BdO(n#6Fo*NU<N;
z2(9BCMh;VX1G9r?h{>w`!N>k?ssZ@V(8o|aJb-@^<HRn+f9R`FB~+1(gxi0S42o6o
zmO)&_VhPe|@o#JuF<l%Xok9Y{Rpnn_5};_N$c#S<jbru&QUlG1_SA2o1OBb*O6cFA
zL7{FcHLeOa6St@<O6QP!J~tU8M+J(NA<_eqM<*j&1H+YS)FJeUUxy~c?dMFnMyMK6
zNH$fb_)}3QwNbfUT9u5VEK<C?34dKV?{_L{`jLV;FRM?hQbMxFM((7qgnsu8!{<>y
z<ne*K$`tG&`H%RQv=rDuXRylhTe*LzgIX_%a*osoiy@W-Zeod|mx>JSRStznY6)uh
z&4V-Jd%_>uD-S|d=rO_{xQ@J0_LKD_Umyi5!IN;cZ#=|X+X>2Nk`Iv;u!hRKU~M>s
zK1FWHR{t#3G4wpx!5Ct`Dj*&VIF)`tiz^B)6Pr*?6pdV7z9g4W{eyRv)sh2UiG5cZ
zNX^8}M22dkf10<RDn{K&?C#A%moRPQ{r=5p5k_KDLmTl#`I+(!$;El4u3tmEM`ojQ
zL<Dz>vz1b!tr8pBha4yL$l2gA<pb`5d)#HxV{9c-E3gD_ggKGCzyiD?)<BMzPXXp6
zM%G}9(09^Ru`<@5_$67Shms53L?lV=L+8<v<Y=^EsEN2+xvxrq15ne@etb23N?hX|
zhgPHn<Xdp5@<{Hb!j<W8CqNUG@QK0c{)X&3;&1;C&sQ#*PW0V$dDuSmXkTRT1A2%Z
zC3XzlLQBcD!N+on>aS3JdAqog5yg~Xw786ZLZ<lUh=s74PANOZ3UW5~hb$mxl+WlK
zWVMnd-9iE3s%)2l{Yli5tAj6TM$E(q_;cXAcSj|AyGuO1UWt`Wq0RVstUzfYR+Am*
z4*Zn7GB`zc(<U_86OC8JI$*1U6R@9h6F8B~ApQQE@-FNi@fY&lvjtBe0gdDTDNkfR
z24{#vk)QZ|H0WJGL}L+zFZ9-*N9}}XZkLh*h2$=@15w^jgfw&jU4@Fi6l6KJg^Ge|
z7M0~5bQ`przXR%#Hqv{PIzfwHRM#V)$sg=zsXNp(WkFzvDANnjCZXj)4e3CZ%gw|Y
z=mWG5CI&^h0KKP5mgBse5RBQ2M|xDDy3~3)$JbaouIh^P5AHzUV*R95fmuX9Rh`h^
z%0!eVR|j89eF%(P@6S}0sLr5sd@rRE^(E!EU_FHe%%MYa%Qr#~$OFK@$PBeas{rDr
zmDFA7hHL<@o`?DZ-;`2h27OWvy5poPTsva2zqe-$U>mDTyMw7x46#Q!i*+X5f%E=9
z@d&aGHa^r)ip7><>+uR9uTO@S1+j(_jy4XCLq4dxDA)aqf>-D-#97Y}`2{wO@}S54
zH-nc+y~-+Oq630{Y%|h4aGrdLu+pL6f6^dE!P7l+03+K7dl=fKyd}$u(V=}1A+N#~
z`1dMDsr`VMZ0j|mL&;^zSG1fwOGd!Q)y3CJPbCZFl{0}+ksxJ2Tv8V8s+<GN)C4I)
zelMMZ$f7hfN3!B-JQ=tY#mX5(Lykm-D3sU*sf*o`KS>z27gz_ELK*0GtO+(r*@j!u
zt)VGOXFN(W23Mjk@&|grzZXkF8Ypw1vdJ1LE#MOylLP4w{-%KyqF-ep7h#+I?|f_U
zD=dWzfU&TlLF6l<q9`feGgIlq6soTI`UmG=6;vm%AHk3mk2S=TMGRe!Y?iBs^kgzc
zNd3jJQVB6c<WUSwlNtdUehPT^)pAoY4ZSOG!cq`Uv?Gs$UnmS;j8dU)!TLlp`4uO<
zH>4Njc``4=i#3$?L`V57VD;K7?UdQ5N0qMpAwLsaVLOz7q=of05V$Mfl}jilFB0#d
z*O23AgWxRW72Sf!^`8{~Ms;LmIRn`(Js0N#l{kRK1zQ1s>LvyZZ}Jy<IMiC4i8Gj2
zJmcA_j3Il$XwOAo5NQYo`wb_*K?)=qIf<>8Qm|_BF>wdZlSgE=2+=#lCZzaCzJ*pm
zo+&b%(r2PjM*@(6>GEnoK-@=?0QWsztcUy2i@=UKqcj2im4o0Pf61f7ctA515koKn
z&b;67Qy8YC26rmcQB0W`9IA|l`}pTdNW8AhlcCx<o~+Cg*I)^d4I3p7hr0yOmJp3-
zQ`KUmmg13~qLgwIPIGsWdeWcDFYF6K0A8>OaU6F8Dz~G2U3#Km*j4dCphP@`3{a|}
z%dvk@J!%QHMlINLbg$wM-V;soSm3mbRAQ88p|WTh@+NT>`3pY#Re3AlLiWqvV5>kG
zIE5$>gNLxb#9m@LGDLo_3=><1JmME|t>lus0^=$qae!O0VTT~{pNDn?@3v0a3kX-U
z)Il65N8=%6nVf{K$97}Ml3V!?eWY{;{A7FVmy#?wfM4YWgx9e!?@rE_y8}1luF?Q>
zVYUPJsYFQyBq^@^f&2sbwme|E<s;3NJBUFBH3PtmKT*!h9nsFn8M(i_19^$OmCq|%
z5FYET^a5mUDk96#z;bfH6O({TdJTG)tBinZIW1&K9*xw1Ov_>AlH3$f1qARx#v{{F
zz{CQE^Sp8dY6Q8IEVKc{)_(!XQ;lwhIUfgzsC>W+J_e@X1mz9zPuBtxuD_fO{HtT~
z1Sw4!kL&>?*<+;%+8xlSR%HgTgvNr-&Sqffj0ME+PtcJ_2LyUpALVa&PA_0CeStf6
z(D{b`euL^lo1ynLWm#DYETVeAbt{F8(KK`)nhI!g0{Bf?z++*MZosu#0TuvUQnUur
zL|GY*c(LcmAHa2xptY3%@kYaKtX&2Mrd$p1P-l_n=s4sG(iSk{<I%q8cjPFr`oap9
zNy-p;5}<T10IGBg(i)9LNwgcf3($2>V8nj_4zCGdp_c-ev?(YRZ9#4U52`&pzZv)k
zJGAM6(hzw26M>O?8rXGEW95JB#N|pyz`~XXzXWQMz@n-OEiVVmwVKEh;P!<pdYF{M
zz)qBa1NK?j1x(WUz}ifQHS-AAe`!h&Kw(Z-dIMW<x3WgrjXZ*<_68=Y0({I9z#5DL
zeBo5360o0kDif8F$Xj@_PdSP>0d3q7&WjevA$#B)8U-h>amrBSh9b&dr6sZ%xNoWO
z6CU$d%4}dwR#cwK*J1S?g&Ie{1LN|zG6lGyVV&US(9>vWCkDPd8PKpPV69>9{#vNA
z^A4B<VQ#bqIG)SkJ~Le5{tZ;5aX<~JyP)Av4tWhM$tTde%fR702y0`VG9H+?sqp#Z
zFw4o%vkX8D_X1{Lm=T{2%+Qm-g9~eeegORILg1FwgYo+W-$?;3nH!Ksbs;Mv0oN`K
zu&d!JAz?KI1hi^e!E8K(_AsDe_6RVo-=T(35%`-?FgA<9YX1T4h+V)R?E>skC-6A`
zf__v2R_a~&mIkoyZD6iD!B1aUeM6uHSKwYb65f19Ii(y1m8bvLJqU9b$HFJhz~>lX
z28WqvVSc#@G{TCY9X((VD+8Zc2q;Y%aJ!?S)!~0);ZFk62S(5V{NG2g23x|YJ_ALs
z3SdWJeaI1D;|aiYJOI|x0p_kZ{Owg*z*`=I&BTCq3k`Zv^?_B{7+C_nstWUx@;~-!
zSXE{sU{w8p8D0!*fefV{e5O3`^r``Wx+mb=hXeBF9r%;M@W~Uv(Tf76auZ|)%zs(H
z675G0LvL09tFj&RycYbsB3Mo`u=hH^`l|uI>j<9<Yb3HThF@TI!@2<Fp+()`_hEgZ
zFh`t(v3dtg@AoiQV5PuQT?P!!rNEt839~x{-dz@YI2;rve!;5g3963Gpx^D_Gc}=~
z2;^?c!~8x0PHb4Arab7hv9QuB!-$Q6Ss`FN`vT^=3-o(5ymKgwT6q}LW-!V>L6NE%
zFnDobU{8nNhO4K9^*+MNBNQOupFzu;LJKqDEiJ$%6(teco&uIN3}&Puj72r*Nm$!5
z9Y(G#w8sL^O8%b~h84!XEwrL8yrBu;jK6`sR|33U5oo{NhZ)ZWMYiu?E3aYf!_^_e
ziXuLkweZ-qhdwoendk$5D_~0!*d_uf^00yz4ztn;d}l8B^hMArFJLuCL9fCZ-W6b8
znu0}#fT>px`W;pxr~)$?)(#-S&I@3T-i9Zj;6*P&pG0WGA^40N*2G1yLn#~?fJHiB
zCE?K0ieR&YVIMIl?cl9lpeGKcJIqc8V7D~^j&c;tT@hGq8F;c4_|6|;bq0X3{s1gL
z%<FsyYw`v>`#$*YqwxIG(A%&EbJ!z91FN?mj9*0<zc}ct4eVM4b>0eKl#-xjHn8tn
z@W!y#t``1F1a5N{^eP%T2D}IlsC9e-?-ABGfKw5SAPp_?K@T#(ijrZpE<lfKz<8Vo
zer_qOT^u<AjOnmyYXCeh1#NExd)5e;vj*^KHCU+^+J6w%?n8Kw8G5lAJf|Ppvlm7w
zTn%g`^gsshat->}2%caD8wqPlR)n+VOXy)(;m`oH8Rp}LmA&e~JAOec20)v`+QJsF
z{V?D4H25?>v^Wh`Tv(C#C-@-)v^x*Jn+;>10o;VJ4qaGN@&|aBAbiRLYNp{j9$^Kt
zu=0Hk`1t@&48gm8K?`%hGCn9Lz(0ij|0!tAWB6S$*g;sKHLP$Fu7PQSH5gVgcnTH!
z!WzR5pzhm3c(xf<{|;DPVLjedcxqTfA*>l$2Hq9ceF|&48enw88Vx=ei?Aj{23XQ3
z_^ut^coF`8SmXLVjE@$qEv()a)=aMjmY4}+Zh&V$gw|b#(Y*`SkOtrW3D#kRUisl!
zVYSlw;G@DiGl}rMFYw&3KF3%1^g)<~)iC#S;QqFovI6|~A-F&O3RWB*`D$R5{egkd
z7FryxeB^{Ny$x0OmI4cVIP4gcA?wx*cq|>DhF@QJ&P8~eN2v}x^s2~wVDg-Tc;+8q
zf&T)3(-vAW5Ij)09@{^#%glv*$~a{(@YutZ;m*Mt4=ahGFssdBTpTc$xzP7{@QE%;
zTevGP4`_t4zyMzY``a7nqZZbF4Y1qVz%@UDEC<ha1mrO;fR7&nUMvW;_J%98VgaUB
zwhZhBh^qR-D3yRsPeqO*K8Qr(Q3bI3CWt$_gTCJ{SVIS(7cG^pz%3pOJn*)_G4BAZ
z`&rP>1F%Exhwq1#1;4{;411~~*rRQr6JdZBork$jh0)vypSuK~3G4l~1kZgDv;l?!
zBW1(?Ja||g=>_=Gi_rJ+z+S%(Hu)BM-T-`&0DiOzu;44ft(*&1!7zmfejcKnme<RF
zLG*c7ZU!-h3D(*wh^v~RH-L3B0hoNJ(XJ5PYrrpk1#1iI1e8-M!JjJdgk{jDu&sx+
zkHWf?VLjkfSg|L;>s?d&z{viDRTkD)@xYqv472Tr`F#MEau?#3agb5{3^RTKdaVa<
zzZKp*2l}%Y*u7ybjQZd`!}X>f!iu=|KMR}#7PJc9I}3hxgCDsE(MeVCL?>XBO%TO0
zXahKX{eUM-fbqZ~CRqWz=cDj5AJ)h*SU<mDRnTAu?f(~bcZFT!D#Sw@V9s{J&Ts%m
zv<iIhCCtDrh<KVq+|&}PN3y`%?*~tL2P;1oEN&abNNEtkK8AL711}T-tN0SM@+ic)
zV}XM|4aR;2%vQJ_qys$RVDP`;-Fp>y-{J7izTo4+T0Zw-rZ$3Y_fx6?lc_R{DV*!!
zo7Z5))`PLw3vs;)V$xP<O|%8{ts<}w?O<K=!O}hOzE(;dn2}467rP7^117mHjLHWX
z>oTw&!s-YnBpopT2mda7CmHq^0d|8+$|OMJwt;A`4RHKA!Mgqqz4F4z@;tC&N`S%D
z0UZDu6N3QRQ3y7FA6i@y{PAJ<<VdhrR;dB=wgFBVyJ3}-g&6X0K-A^JO<w}E&H;?R
zgRu8c221z>EB#+sVXHtHVF9e(8{icJ5dSZLw`3taC|Ps|mRN0ww_|~s=Z9H52%}jA
z-ZcZ(N1WmV<i{0IPxu10N`K19V0|~hm$rg^b04tWjzRx!Kn&9z#<nKx=HI~Tj)UJk
z0={r8tfjC|3v1!s1x<`ffbQ4?-2Ln5bKqPpMn}UN8^g)xABY4-0h?<otdFq%$~I_2
z0jO*!NPXbtc0q^1Cu^Y+C`#Og-!*`JU<34LIGifh%VXrRaywZs!@>tPcV~GVoK{!E
zDtZda4@IE&@ExkH5}?KKMb3rWk1h~*UWU1$kVD`bs=$3^A({;Qzwg*cxRnv{e#9Z-
z6>*C&5+dOwE)ko6ciJ5I=y&m<!1jy5QG6}dA8QIVRX?I9fnBFYmq5gDU#X|;mo3s5
z>AhG-JQVT<CkKlHbAg+=-QV5c!mstm`Wb&1z4O2y^p6TW4RFB?!Q9})(ECsXu=^TH
z&!k!~wy%|)$RJ?a^}!z!dr6O~Dcx4Rj9JOv=I-#bgyEXUnwi>%+Fb1`?Gx>2?N-f2
zA&c+MUu8QpFX)|A6yRevV#(+l#UXVU4*?(KwQrgi^BgKY?mFn4;5cE=ur;x5utr*s
zS&m!&wOq42v{bbQfLXD_zRvO8*|7A9yN}oGI}w-!AoB0>RK$+1#(xs6RQ;$?^f2`l
zW)Qoa8^SLXHft6G8sDvN5;-f%8^y-#i0KrY71K9nZuF6;>5-@OaauROk*%y=t=fn8
zK(7F2taY%Ff48@v=T+%V*8^ug=OJj#8oSZvwWZkX);rdH)>GEy)&o|Lb&xH`_Qd{=
z<Fhl{HP~(P?DRzi-URQ6V`MclA94UQi5cX4NC|DG3Me;KNWGv|QbPgnR1XvqW>GwS
zo6b|WV{dXp1+Dg$Zf3;U$SF~Gqa0D~qUT2yL>P5_wW|c0s{w7Jh%;!Sk}C#-Qv)A;
z^Sx6%^W5J{b6uNUglo4m&rxLWV}EArZCh;pWoZI(UD1}BmOYjZ)|$3y_Cm)4*FyIn
z-aUSE&?5$A4E=`fBRpgRWu-3BYBj5VN6(`p>6MhIS_F*X-&LnnG?h)&Qr}{FapQ#p
zT91BX<j<&Y(a&O<#4@qvV|GTZh#+;Fg$-;^+CvyoozhOc5xDLf?QP>3>^@o=UutnZ
zab0%ZbPaO_ozc!ZjurM-ws+Q@mKWv@X0^G<)WrPG{I8{g?VP>8vrXv>PgnnrASF#y
zp1|!js`^M(RySr|F;&=BY$AJu`L6yze*g`Mr>eE86{>5hKGX)f9#e*^Bb?Am`npj&
zqW_CI6x%iK@3<|o|3x>7%++<)<gjy~Z4=SEk|wyu$9WP<n>%A1o9rdF8ul{wH2Xlu
zUihILyn}X3vTw1?w_dP(H7A=j=KAK%=6FjR>p|NV$7WY6Plj(vu&i`QnTq{ITvAP@
zGu0oN2zEN#o2|iaXZ}-HQLms;`YolVU(zSk0p=`sLU^a08SzJSMr_qGXUlYoZ<X*{
zLP43TvCX2|=(U<wY%Pk$qm)*m^S%e}1Xnr737cr0WM!>aEjnwy^@=Ul{>V1g=CWp3
z2U!PMlFidiCgUH*X~uWPy(W)2&6;K}bgppk@GT4eBh5otKvgxMD!}UN#eQJZ*}qtV
zoeP-J5ae_FP!1JI?WU^G&D4(=6W3Xjt(zFxGbR-GDt>*!$Aso(W6FMtkBPe-)m(o;
zILn+-wZhiR`ruga_|lHfh4%T@nHJWPW=1UM%)2ewmOa*^)>x~?y2P^Ia?0G!JlMpW
z(u{3QPE$q8B&)^Nz&WRMh<C4lO{ko_5BUc>LG)C$r^l<CGW(dzfM=b`%wSHaYpc7^
z52-iQX{ru=2iCw5_7gu)o1xzx^&<9Zyrpd4#8!!XVui$S32d2XQFC;Ic~1SEuqd}e
zO?@j$=Qy;sWtKSeJJVIuE0ft2YyM$&Sn{llt&8=JWx1uf<&!yJnq%r|8fr>0r&wy(
zILB;P(EYpbb6|>CS($^@!e<kA$d#(IR7W~iT}kbui|Bvg&u02hI-aKJ3sfo<O{b_&
zF!3PfnxgF;ksN&~?m)t>#CqkD%9Sn0l#48TG44&|2rbGrp@L|pxZB^zo#JS19c7L)
z4L6n;Ccs?PGo3W;Gy5%ftt+kHE&VL>ESoJAEnCc^%=zZEmV4G3cFx(SRPxmJcM7f$
zBO#M^3#$X@yFFwpRdrAos6<z%Thndm{q$>k2i=w~ri!Rf)CI7!2XreYpY`)EwCc!<
zG4taMiQOwG6_P8Ime-X}NxTpzN0bp7(x)-A*wKHX)NhkbmkbX}c9(Q7*=%TLJZ>V)
z56$@&mo?hn-`2|7-x4&xGTY2?mO~canr6G|h%e3bZ1Fb;q0(i@m{mtRV=^cTZ3Di4
zU*I4Q#(^zQ_EmAfR@+Y(0G_dn+7H?ebt#J4MwL^?vs3w&+76M$vGIvLD)y?}v5KYg
z{mM6!5-S$PuZ^t48&$25=s>FLo%LU1uj0Oil?!VZ^)DV_sBU^~o^1JMxdBkU+V(dv
zmZ<5SQDxd?iZl<mbhJe}H@WZoWVrhng(QO(#XP(^UW#47tPnF-g)`+<#Dspvr;~3~
zU#W|*2OLq4QMabwsQQr2h;@K4&Lex%H`$rm^r+eKD=WOIGN(qZn!{>bs<ybwkcwB!
z4AJeU<I#Tuvt2hV1%@+4Z-LWvypSrHYJ6&*ZT(_<VJorDwyv{^mP+QUhO;GY4Bw2L
zWr6LeGs8W~?+)4Ig=jmRA~xX>*lxrlJEcC-JK)9d5)<UVkTv*Z)g^i~(}V5D?qWKr
zT~v@fj!!^$LU!^3(vKLYuBl0mS{iSwm{UEw&g;69>Kv<ivKpTBdjg?Pr#>nh{c~M;
zmg~kZ#m|b8inWH<#xzrrS+dNt9=FsnjWtv^EH!L4R4wUWa?BWI?d&|}p634?8Xzx4
zR-hh;T1G2(Bu}Vy@Rr}>JK`S@G>a>g1gsfZgRabGa|8HE+<2w|y_+;+OOUPdD@h|i
zR4U?=sKtCr<huB76~9zHQtLw9)AfGVaaI4b(v`AZVtkq-s>Skrf1^^By{F}esk||x
z<YaMn@xbCIMRkg<6q*We6y_9^DOys}%Dmr}<*4s&<vSI;B8^o%kj1?L8ID78OX+1O
zI;0N$3k=r1!6R^MGaA_RTd^fL3Ccp{$ou4J@+@%xqM0Y4<@6W!JARL#RXiQb_SgIs
zS*Z+Po~v9~Ev43?Is@x0s<9_2soavd$`RF=%Sg8Wwd<F4u4#{9cJc1QQTZ?OgZb(C
zLc#a^j|G(rKNR3aCrSod+Btu7|K%GL)X5Xko%m(Y$I#+cP*!O#oedGeJAjl_1$%=M
zPX(!}G6{KsECOb46Ub{0f=GS_WN*}HO)L#hCGS!O^>|jrKi3?Om>o-()mE5Oxn*^A
z?NFWMI)UnAD=kW#7WYa&o}MTRzS+(m7OUY>aZ1to{EB(k^G@f^%B_@BF;|n<H&2~^
zt0283$tJk(`LBv)kgxa_VAi&zTdI!Zdi1tjD2l;K!GXbZp-tj<af=i$FH$Nf2jqRy
zrch#NRPbWxlGs#!2e%_naEV+-7pfE4^XzucFErJ+k4Z`RP@!$r&b6A?CmQ<eW!3mx
z$(z_OHbQG4UWCTF8`(yiQj9T1WAT^5-wVw7t#c=2?aFjzzR4o9ax#bHUM_xZ`|imP
zZADO`mZ~{O<6fdngoLz_%ZvMi-vbdrTPRC<1hRVx5b=g<&)MV^(zVbAVD6#73m=N~
z2j1!iaxV3gwyR$<XSlsWJzd+#K%A~ZsLGL=wd=&z_thOyqqM?<GBu;y2o=d5;$+`z
zS3lcfhyXduY=gb<c)mMlcjm62`k$A74a}^ReKoI)G0ic_Ps+XVRMiCP0rg4Mi=2Y3
zha7f)X}M$*?}7qCQ{*G^2F{j+;`iXKK=r^{-!boUU-!TpSRdukHTXpGmufAwhrX;%
zVb-!<zN)@)%=3h26?<2^SnF=xJM}8p{Z;KQq*YV&9KV?~OLP5GJhV%4ly&s5em0yb
z?3>ph8%aO@W5$nF>2&t>+%APXOxs<L0wwYZxVtTj8Q{+1F)~W|3{3L5%2>EnsiL$(
zi?LDIXyvqcDQNYd@h|p|@o({S!JkrR^bXFE%~a>9+Vmx=F0~BUv9;B0`MLW3v23|=
zRd&~qYHzIjs_y!lgDPB%KB-yDeWbf#7I|r?et_}@OHaC{*t7;ISD#V&$A_;;UmyLL
zl0Bg4tTEEs)>Y_7;0|g8V4CLy_X1;PfYbz;3Mfk_ZY9bPN!WIziEIh|=C9=0>>lfR
z>wg?NB)37&gRVh5@rdw4LB{TQ0#QH?r$(v&<<9HY$B1R8RGL!d&#I->X4hy~V|}H_
zGJah(O@E;#dy^VQ^aN~_=x*lRZH+b1`S-I|XRQ7C_4|dND{}oslTEUDjLqO6+$X%1
z0+T`2CNY>A94H?{Clf!3XTY}@PIN-%O7_spP~G4se}cc*Zx5aoH!4YRCbL7%Sca9D
z0rx1ov28?odM;Z}^G)|Fx?VzBd27Xum2#8BDyym(E68z@ev<B}R<Eh0&L`So4taaP
z;a=i=Vb&F0%PyC-BV$hbp^WaiXNuPuZx~a|Q|x4Ejyu;g#dprXJa96UsMye1cvm=a
zUB#PYpw}nbL)+oh^d^uObVyww6R{3%QxwQQr76?l-lis;TPLCE#1UZXZsE`9so323
zvx#TQ_pZ1n>7OcnsvfD>Kkkh_Py3&a)^uS?RA%ggXz~6i9pQLuzFoLDFFR{X`i@`g
zGlYCyNvttwoM(P)4cJG!%6g{yKKmaA+e>$qmY@tGgZ5V`Ru#}|<E4CQ2+Zk6v8B8Z
zloQ%0&p^q70j~9KxLdjbT0lIOLLP%Xv61>Uo2&gAwV_O(#PJmyRIyYYUnRNx@z_>T
z*%3zlZebMjM0E>`l81@A0;IdWEy6gqq<;RUtQlD?a_;0G$ma@177Z}ovua&$JxzSC
zy^$Wqmln*BccY0AADl#!k!)a5UV)KVqTH1tB;Zkqz2JV<f$oO;ziLW6<ZjL@uaO4m
zSUi*5O95MjtEc-jN*C8JVO#l(%ImAeR;iwd$5e?L5&0;B*LTpR@#CrbNPBUmuaZ+|
z>0$^JjmhnpMdd~nMwP5D?o#Y5N-REC@}K#KeQzlPDsdLyqrf&$`^ZCc@%`9AWj-kM
z^@E$8o#44W$ZW+TWlNxU02xFFQh@qFU628MxC2TMULqE%=BUT>?{#yc`^O(iyjo#z
z()py{%C(KQYRl@IM0oVawQ(97=T{{w5rG5l{f_bG!s3LY!u%Qe;|n>%EK{~2y0}x(
zsFI_mTh=Six)7b$3tkD-4BibL5B&xF37c|4o*@mD>qAz~tK5cL%ASaz9F}?H0Qv#F
zhwaA$phR>YKLIS^j^rn@AC<^PYtnT+qa)+zl>1)sP12v08pi+9_F=2?n>Co0)*R&*
zFv)mFz(K`31C|DcuEi6I*Azw<j4AXQOy(`7S0&X9Q;lUU<?U(iiorSJXwa^yA`KL?
zLr<jtAn!O$`A-I|UAURwjB#jXrL)vg+9kI}PvPHzAFd~PIHUW~OK>7<MR#P}Tz5^D
z_HX@`=*RI@E8IwWQ&Cl>wq`$bp8Fwe5#l+4?MaP93qxM7-koc^X2K22iY6As7Zesr
z=GNB5<|Br3hDW9*mVfMK_twBlF-c4jQ^gkIu+Zg@C~rf5L$%0dtP3bDAdndz0y;4N
z$;Xj?pfh*{UqL9K7uFj8jMXOgtM01_p4Z*iM@00B#AALhYppP~!qqY#wZ(ifzf9Q2
zHDP))9qCtCu_*g)xm!A~S{|Dl7|#~<DyUkx!*IjY$JESp!#LR7-I{KnSsL%(80s!n
zl1l!kZRwT1$+zVuavY4yaH1Z0fgtdg=u>1n+@~?HgGG~GatkQAjZ}37t+3x!ovAL&
zdEsw87x_JMP)yZ?A>}QJpChBWD0&5(1WF83`B}_%Vx-*MPr45}K3JXBn)Va+zGg%5
z&f;>0oRZchO$`&xF}Asm|6CtD`+U0s8Npi8Q0ecGDs)oXi8RNqqK6^Qs0XWE#_afY
zVmx60E>|bQhPMTMxtC;j;CtPs1hu5@%(Q1;afyOMvnFbK!u5*X%Q<6aXjgHI*<4__
z?&E&3lzIu#3aJ%}a}Tq=F|0R~7-yOrTbJ6mTkjb&3LOQbi^>|hSuBoA9+$t!U&p@>
zlq0i&^_nEMLfq&pG#cjtZ#55Yf;s^=?_U*3yJ-*Il)6h|<Y}TQ`9-B-)^i2?WZ^0Q
zC*PM}BN%l(ViU?&syHU0nQpMUEoG)2s~zgq%uw}f!Y7~iN4r}%X259<HFYww#`DIJ
z=98Az=CHaz2V;ASY%6eW@s<YegmOZs0?WMDJQi<p@ER!CoCbZhDue|ygb^UX^e#{>
zp;y2ebErCxI;5IS&LoDbo-l(oGjy@K5xN>s@Zw+H>8O9=TO@j7V|4X_6Z(?}i4K(v
zx^HpFh7c8K>)qpuw{5eWv79%bGZYzSSl-z(EzuyU)!0axx7u=C{ek^h-dEK(!pHk&
z`%-}?`$GcVaAYK)ORHjEU>}`J?ov&sKda|6qnYjMPjnmLKQeS%wyDrVo30(BTcum3
z%@$5*W=Hi(*q2xuJyV!XYw0W0HL4A@iA+Z4NS6b=uVHB=`#I|~$S?ggCzwu{mRcG6
zd;0`?Pg|b#q%Gd{mnYueDsThlX0-3BXMnr1H#2Y;_JvHiBN?I0k*7+x<+0cWU>uv&
zx7iL{96N?t!mMTjOclOJ(@%dnqEqD3$Tkt%b!Q^5*p+4LlsTy%%WNh`5?}H9<X*BY
zs2Tn4-|u<o>}31H{L^&Es<Iuo3^r5NEbAIuck5Q0V1Md3;o9xF5;!T2krE+hnCp%5
z9`~&Y%oeMIe}x(iQUmF^)KH$H{D$dNg>+AKk@~%Qr+OB>hJMc8)^v`*BfCeYM$U_T
z7NL#!JF0w{%(C4QrbJ<U4OL_O8>r?Lz<s|*?k*njopa)rIK$VXUBznC32T&Huwk}t
zwsy9gmIc-=4xP7Ca85`c8XlY%S{NJ}xa+SMoDwPn!qM-M9gqQC4L5zK;J&Oi(gYi;
zlGXX_SN1Sli!H~jSI=atY8ph6F>_-1m@!dl5q+cP$7<r6$DGqPQ9H>g#AUocx=wx`
zobBuHuJ1~7+_VPF6U<u69Fq;SMxL3++b%nQb1rmzx1Vsz?!Nw~!3Chj`bTI$AjLmA
za3WMFEml}SwhTt#-beWpm4L519kP@I=??0K>Y3_fW;nZ(+b#Ui=IE~K4?+g8MpWe}
zK1PY_6n{IWmUa+(hHgynB_<+$rGG=^g9+Zgu9;vJK0_VDKEoU1LgORjKjy2pdX6Of
zC);30Q`hp+Tkf}hh?C@KX=(7ezrVjtV3a5#hlpzAAv_J+0cx1Z$aCx+nL?|W%j_lg
zcc!eGV=8dXgc{l;{mY06k<B86h*uE_F}ZQO;-*FY!?&XCz`fW?ZU=PfYH<v#*;Kp1
zl4>q*dT;W>34MmKvQY;ay^EH8*6#M%&TXz(Pm;e8a75b%{ZIt(N9Y*rJ-d{Spg<i!
zDZCV)0O~@Yh*M-2RTC-^_~oD2B6beDkz2xl<}-w!TBlB<zo1(d@ggcZ_D$@J=!UxH
zOnvev{sF#6qcs5e*D%l(N}@eAzBWuVwlZBX&#**TKAV1+tmbIjfA$T|x2|y>&R-Cq
zf)fK50?~o0fd`-;^iApqI<`m9mY}|yhA+Uc61P<~=(}_*a~#x3%JFf$jo+a;rd^<o
z(XP-6I$U>8Tc~>+c`~Mc%vXJ7E?Tu6wSx-RP-T*oAhr$k@W!}uEj<nMi`EriHdeK6
zvyt|;)(MvD<~(aVhtsv$J22o3?En=-7mR{KjFs+5=U{*7s_a9CVlDA8cz<FpITzO4
zOEQK&&G6h^ZYQ^be+oJDG)*_1RX0}GR+peZ7cnMkN=!~nPUK{ME>S99lLCqb&{$i<
zcz=B9-`4WR?j@HXUYu$^3VFC@mSR%{^Ds+_y|VM1>l@@JeuNfEqu@l8B_d+)(0b7;
ze@8#zF`&gemuQOr3#^CHs;cTO48_T8ca~=+s@F3t|4TDicV7FOrVq%isx@=9X8rW2
zg;8Dg&)HkRhOUFM@)g*<mxp2lwLBf1n{1sd&5grLnw3Nv9~h^b%UgRowm3QGd;4g|
z{?e7cr9m(3Xtm%*=f1pDx+x_or;#eyYG8n`qi(9MlC#KFWCl5v>d7489}2W^mK(>N
z<ofYufdnOrt=j9tZGMPQK|4x6B4U`XBNs&?%IDC};M+jZf5RX2UGjt+Yb=co4~wss
zOfa@KM_8&^XIN>-CFMIBx{j8ndTIm?i|ysv@=|#+U>EKKGPE1^8k8}2K|X7>sx4KS
zYD+bw8>lhR$}P)1=XfrMoeLSjhMGN^iJCE*RvM?!Q;5`v+P%6dny2cG#B1ccTv@&t
zx)K=S#oaSqn;jP5`zM*~hS7#ZQ&~$r>s4El{a?ozXS}PK>zzyE{X5hNl);9gqm%(s
ztB_i(qAVt6(_=x&cAZ*BX@JkOjF>`gW74?BLcY+IzsKH%Ot)Hy)#PZVXfw3CwM#Tj
zG~G3KHRpv?<}`^Tlf_2CdV#5dN&bBA$kJi<+vX}pOUW`rvZ<}LlD(6CknOCsmfhg^
z?pp44dlvbY1%`=ExeeS(7b)rT1i6;H8+6vRpsA6=bYKsv2T^m#L8|-oCw8;&T3b)o
zTU#Vtg}a-<ur@miiJD~XLG3JU4efYM6n~7Ki<ij9LZ<^)d>y?@+>c$G9O>2!^KxUd
zp@-pxaj|8)^__K%HOki8F~zmSQ_rsn+JdV?Ri*oK4L~v2kZ^x_Q0BUdrGsxo$qAq`
zvx0fg{LMUNdNI|Qs!U7v0AH**uglg|*VWMO5K?)P|G+QOWNI6MZqO4plRPSY_GOj+
zSz4oXv+JC5sH2Z<pK(ml+WY|pU5hde*DYfmajsa`F6RMPu{**yA&?ZBCcRPyVi9Bn
znT2;i4Tu44MAT3PC>(aERqDy=bkKdCu1-@|=7tF^H4TLmTq#?Tb8){3M>Lc+Ns}yW
z=bQ3r>`c}Idc<w06UZ~a<SKPcbp#y891)HpYiskol9ol+3N{q3Dz0F9VvBa2EZtk$
z(cQuu<&O$X4r0JW3gK5k389cMVV~ecas>NM#;DVn_pFv{#d_4YfupHnkMlX2PCAXw
zpy7qzco(;uuPLk&jtd!lTi(I?na=8wR5TfnVe(RcR_P|kJ6oLfwE2m7sO5rXfN4?5
z>B3;4P~6(M&oaR2^Q8D+1V#kv1*3ykf@*QUQi(9CUZ`e4^ae>GJRQA{A6ESZ(F@Dg
z<{I&hc{3NuR})OaSWTkVsco$rsO_t<2-k%Jd<JM!>|-86Tv0*Yfx1rgMg|5qm0q##
zHCc^w&1Sf*J7Uf@OeppgHZQDOw5}x9($P88`)8m%=wkN@>;iQqT(+VGWHrz%m_ThN
zg2*3$Tq?kRsxGT{vKF=*OE4YOSJeX{oBT~vPCqK*W<)pr5A9HmTd1ii)eO;Uw79UE
z9YQCo4iMGxZfG63R$#pAjk$XXS-id2Uh)j$wym%~D8*5rF4LsMZ9d>k_Pq<P6GLKM
z$s{GnM`Z+gh;39YR6hd+=|`$UTn63T0G3HKqUW%SgjbrsG%DdR$8t6Kp_(jRR>a-N
zCy@mabM)o3`}l`!b#@win*GeYq6d*((L3ToUxBlVrIR7Gcxv&Y;yXp%iu6U=BB?N;
zsAlm>LyUQtt)?r<`y~)1`s5V!0lo<os;7fyE3KMLH3l`kC7>-lf@-AtOwLkmfjh85
z<}sh9`Jt7yy>v@-6Lo4>0l(`?by51Z`j-09y33jvK8cx5^#w+>NogQ&3Uz_}qQi8u
zNSi-B_fYPbJhZ@AIJ3BZiKkdq5-9o47_=UCHT16+p;`q-fhxpn)lg7C*+Tw7t%uV?
zE4b6z$i%8?stIVfX+Y(qE89Zz1$4nc!zZGuevCFp_$0(>vvso~5+frc-|OlN1Jp~%
zws?DN16l#;CtnDz@mQ>%iznoL$$pYOIHynErh@%NZ;Cn=)+ks2r{t-Y-cHtAJJdsV
zAOh|sPf(eVwR=migq!0&EXU4b_p+5(mpWOkgXp=LdM$H<8!Kov1)9^^sX9hCU)xY?
z)_&7X*ALL^^*-$@VIMn+hKv;0Ze!r$Oct#^mlHR&FA%Z^W-QEjmbEHxTv0(u$S~ND
zTO3vVUom1jXkY8yDfPjtQnl4u^$aQ<%0+Rix70Z1BKHjx^HTVh+#gH;)C~WiIp!nx
zPSZvIEJ798Ga^mbLR&#|K_E0%%>dnI{eAsh-7Vo7qfz|<3<Y5HgqYBXfY!@6Di{m%
zge)w5=C85oEwaZI%rqpJ5%b@sX~x?oh*X@fy`7~fd<>PwByw%oOnN$n(iNCpY+Km>
zd-2EkEnHK!CsT<z!<=Kc@Gmsgb=$xK{?j$pf6>{rjkWExDqWJ!q%F|w7LIa8^;^|?
z9B`9Tqu^NIuhI(kDaQT<9dce|7H3q*%*(Xrc=Ep$1&Vu=j5EwNVYbGu67P-BE@TOj
z1}B6{Y%*J(d9U8aoZt-n6ycUIS2IdePw=p3m~jlj#&Apd-5N%>S~px*Mi&YD!6nU6
z@Ph5Z7YrB5^JTa)%wFm)<O+;RrdaH^x<5F+nZFg^&O4L6B(q`W?aa;DgYqU9o-a-`
z>^4T3Yg-T5hPs}6QE3`*E1p60SBdj6ThvkNnv9!$#W&P!)b7`g)C}ThvH8p)rXJgj
zdoPU8Rf*6=Owc#c_0kT|oD?Pq^M!W8XMQqxscBqohNo8H9T11uI`F$kaMiFkw9GV^
z3RdSf&w86tl722@es*zQo8tP$u9nxfr;he6jr)>!LGX=i!sn^4@~yNhG`R3P7ht->
zo)csvgwL94T9vk`W~We{|G>584-1X8l&+<IgkI8}(@xMl5vB_HaKatKJ!PLTwbVgX
z3^5n|BzF*R2FiQSx&E<jF}*Iz%q`Bml|ClDQs%kr$@%{kU4ZNZWm#e!XRGEITiVV4
zM*51KRkdS|a(P0r&_h_rSLbK**ZF^h)|y3{_D~2qQ|O`z2m`?5-sG2n-%k@L%_&Wa
z_L}yLwv2X*a2Hgc#;Nbqi>cM*JM0YdSgtJA4)ph=ITLIi$a!SvKF$33>&nlh^jTTY
z^3saWnUZY=`&mZ|M~cJaY~c-r9%1W118gP4xp`V#(~}cHbLauPnxCmTp#4|-Q1eE3
z%@h0|Tt}`8|5B)>P1W|)R@Ihh-fL!SJVHI8lxxl2Q0If*<2QUZiYm>e)}hY+`|e+k
zTb5CVwgtxQBN?62Kcyede4O*RU`&a}G}!XpI>TnOk8pMH+z(8Z=M$aPd-x-oGP(uY
zCYo5@1Qt=kVFIZctZk#SXlH7!@;$ig>?YRF)_}1&t0~mH(R>CgeJ|YLQQpZuU_A6V
z%0R9pPGD1zaq=t3hIjSsbS|_GHd+h6=WNStlD;TCKYesotz1LlVMABTOj{$zM`y09
ziRZCzff#|VP&HsP;Z(XYa#qAW?OUM&f1XQYhj2&v)tY76+S(qPx<VGr^%%AhtcTeG
zt68SGqFJEnD>MS-u3zk6wgKcGzEVHQ7uY=|P3#qX;p^|&?3!iwm=Bah6%5HPO0WED
z=C7j}McK6r^ajL2+Z#9zIWM}_x%0i{L*<Yp)dfb-yn|CuVuVZkKv)E}y_DYz>Xa9S
zt->2#&qc8dnf;8Oox+V2c<lylAMFQCJ%~=;a~yYs-N1ff&Z&FSW|c_H$L1@~L^<%$
zySntd{fMQKaZ*ugULdPD<5~KYjEJnVx#tSLmvlGpu|06ybd_~ydA|57Nz<`j)NQtz
zCRx8HVnoC#UB2e7@DSoYk(&wHS^w|@Ktrn=ui`gykGYflYp~dL5R*^iUvVS3FRT^x
zG*M7aO<-2gtm*|eP^l%Z3D~?_-L+jc9A~YS%|yw^{Jz;uG75eLe<fw+W!Eg2Z`f${
zIm<v?YV~gMp9+qb@{qD5!E6(*=o>~&f;8Gq&?)@NM{rA+qv{WExBP(n0s3-Z1)H!(
zs4m>(`}424M%)wj0J{>-^e@3<b!P4XUZfqhk(`HTB5Bg|AnNb$S?hXduWDUq8eFoo
z;6cu-%q<yfGPY!P%@GQw88p^L&W`TU-p>Anz<Vg`Eg^rB6PeG#H~qw@$5B*dIo$<e
zGuMzE&eUK&F{{`rTo3L8H-rDd=kU1DR-lABd<>^&mqWzbjoHR@gHH_O&a+*a5p*~5
z61rC+gBQKorCptBdll<QbE#ox(Z{_0*~yvZGwx(O%$l8dv3R?Ao+Gt%q}S?G1uh07
zr8meO0H#mm=j)n9dLvyCgr3m)`BU5hb{)H&MY)OGLoOc9t9AGh5SI%=I$xD<#wCCr
z+cBtEvPS(}J(L;Alx0ZuB&spF7W-S7Deeh~-ox(6uECB3+W@nx<V(TpoSe*d8O<}+
zWgf_BS-8x&)ix2%i?h7FeWO90Y_0eQ(u}OhpqhYwMAU<*W|7tOshal?`z>O$P`9Ew
zC-86i+JZqC20m$w<~xA1uW^G}mYJ`PRrBhz>I=+uh>-R%#q=drS;B-ols*MF`)7Mo
z-CtdZbE8dbeo>6(M`m}(XpvqeV{cZo{LJDhmfDU%r61k9J)OKwd})D>(nEBrsyVw>
za}BbrHzV5VhiMCh+59^04m*$C%HCjgpgen*>j>H3*TNjlX3f7sYu?D_FtU0Q#PK-u
zo$1O(vh5fnZB?xzFzkS$lhy|t`WJa$xKmvR>`wEyl92_voX;8C(p4E1vlivfD=IYI
zxButr<Bsxt_RR8@_~r#4$U(fbx|h&S?~FVbwKsCJex!DUu!Fn8q^kF;>oXqaB>R}F
zDD==&)Yj5o(3}$rxe(J-JpphWZRi{tW2UfWxS#A&<|^G?brW<uj>vn(?ZNy0Z(hm0
z(AC`D!7LWv$iJGc%dDBvKNHRQnQt!1u&i>%yAODtdSakjOb>sb&?@C9F-ffv{?MI^
zcpK44uh-t^8EzOv%a7<RI#s=t`Nr1g_X&T3f7+#S2>1AxY!#-Wx`Ud5x+&ebY5ZWJ
zl2F8bW`@(ZNl=GDKSSM`UE<#0P`}Sp;%W`;NGh3LkeSmnt5asvtRFem3jQqlU~cWu
zmu9+?J-a+*y|sN01NEc^*b7x__N#DQSD>%1Z>UY@bJ<$V8`=XkXnb@E#5O1Rs+tF&
zVCe+=JkD{f8>-TbVK%VE+%Nv1@SiYFsLI!7o%BLg7oszE6Li?WNL|Gx!7=`)o;|Kp
zw&SJ)#Vrdu<u=Z~mGvMS%RdXn<<qT$oUFT|=bq=3N9(Qc8x_z?hk-?lvx|lQv{^cp
zE>&=|v(!m+Z>ZkUnx3XMG6`G^WPF4CZJy`Pf=2R2uo#4^&Yg#7>n2~y#|SpQ0i5Rq
z#sO;2m2d_<thATki21?m{$YTHa@(UV`wTmZ^aU02TIQb0J(K^YXuh$mwWZ^yYr5Oz
zMm;Co8$1<!8-wTNL-<%)%`Fl7XgX=G^B35@YAyW)kWMB*hov(lm&tYI+w(p6Agtg8
z++W;P?h)*EwRj(YNx(FiW}|SQ9{~QYD_ulh!_T2*5Topnu8CL(37qnlaW{3=wzW0S
zGqfr0T3C|5I=@4~m7;ZqyXLhv)=8A+mnOO!yUTm-d+!B$OF3wY>ZiIIr{R0^bGY@)
zH~KQAq94;g)dr><7scP@SMX){2V8S53UVELxfK2#-veU&&zj$1ciE^}CbZ*sv6CTh
zzaF#&H-Vb&OknNIl0S-@g2ViI9-%bC(bRg@)Z6f+=tzMpuS=dk&sk8r<dbQ<?Vgi&
zFY<WdXPNg;-@k!7;uAzq=Fr<gP4Xq|Yty*S>@3KW?`9NcA}erzax>wl4L6({%`NBd
zaUwT?-@^Cgr}I0&%WUPFfTw>AtLHQwR81ml6B@i6b_I~YsYp*{o>VT>){lD*I)Aqf
zG`Baz6}8T9mFv#Y<}E6CQS39Gv<`91a>bRFy1u)5m#RD?;S7|9u2r374)ZHC-L#7}
zUVc3X>b5KoaYiPfCXB3|#khvt7Va8%n_JHf<O<m4>?P&^)0wT$nYqe*3D=mr&*ag^
zR3_pW+>6+;X?P8y4<LYcqNVbL&;%b^dfQgh+{tjcs7%3!+><%3ocVdyf(^xb<4yBL
zYgc<sN6^v0RoA`1H(TtEK2!~3Uh_LOZ?#_`uD=Kwu+RJzehF{jCUb{iZ>tP(`fK(h
zdmA!z2B;ELL0yK<rpC}))n}M((Arn*F~&ewr${){RVJsAjX}+@I#ov%O$<bv%O`?;
zd_POm9DS{2P3gs*3!dk^hCOg-=7OA=1wBiunwQ%qJ3}saX}ssKcY7d3>Voy5s&d;j
z8+C*AbM;en(=-kEJa!43%&WlaNd>j<Ty_-GSlx;4Mn9(3Qmv?Gu+}(QO;4rM)f>Rm
zNK7O405eT}o61%#g^D_@LDT$>Y87b7Cu3EV_o1VH+T(Ew_Boa;!@<HcIbYLrf6V@|
zJ^f71ucAGcBhIHDqxY8gFV8dg6t5I0Qs$`gxSP7=kqJ>rk&X1H;P$f&=VyCxv$+V^
zn;$UKnJ5Nl&Z?`a_ft((yI@Yn!P&YmIfeR@=>hx0Mb@uQrH+#KiH#&dndmCaK_*Wf
zM+b;l^r*BqIMYAM`^kONb;;h}T%&kPZutzu5BHCH86$I77VR*fw1-vDw|Lrmo<rGO
zi?|u1=|=n|?HPTSh<yDXU5Tc-@Pb<e>-i7J8}48mvAqE4ycpuaUxW%z2IcloSOAYC
z%c>lzixjAG(HrRU>YC~}IOo<^_X8B-PC6ATBRwH!5l^w|NL9%iDCc|Xe&KrKxNkdU
zu2a%CuR>OIhAYFCZOo51&b7t4k9hy_)$m!pmwcsx-trjYD6>t|A|fZUMby-Y$J!$P
zKFm;>x~+P*`ltFVbC+qyELRs(Z^#c&{b2{7%PS%n_B-)Wl|vD94%GR1K~y9z63Hq9
z{gTOL|An<SmyTEcftN$=p!!=){0S8SuZI2#X8CelCFU~)6SA1}=IM*Gn&kg5Jh$dK
zyObumH@Sa$miP?8LRlaz)P3d(pmcv|o@?jnR_MIicAA&mZS^54QAMc^sZyy-dItSk
z^#*?fnz8A?2B-$gDz#PZs8gVC+?8B`ufcKvt9)FQOt)13r>?;q2W4-EsvEfkYA7JU
zu0A5ZhP}e!Ia_+(i8@@COU5gO^YapOYUa>+H4Cp8Pup;JJ)akF9E+r#$_Z?j>JMfo
zZx>oZ9<{8lCFC&M3i(_&_KSKGeS$ix`imS$RK~|bWs)txl{tXiM=Rs$L;&#ZQ>aeV
zLDhRupL{}WB;F7mNLHl+CD>F|Embc0C$Pac5!;B7#5jB)QcvvUyW>*XKUn5kzL;N{
z4j8zSjz#kd`sdflZ&~=Z<e^39O7>k3{iY1S4v^i|zjKnXN_$tAqHm&qs7up6(998d
z{y6B+$I^_-4H^kMk-wEN-)1@RZi?hAz|fV!QlOSZf7NJe8od-U_x~|l7^}Ly`Xc0z
zR#Lg3s`{K<Lymw-N0*5~z_34xJXd~`$Al{Q<~qNbUKSqA9iKBk_uss71vLxe3x5?3
zD2gi1DtTmi<vJGtbxKt`b}5{Aqx5pb+Ni|n_fbEh7DQc$e5sGoR^gwj(^VCTtLRt-
zmwJXkT`W{b)QEqBPW#VLC20h3#nZ7X<XZX_gY$maU$wj*_LaeqJAco=<?ge0ASzl<
zt%2O@K5Q5|5)?6@B89($XT9s04epc*?_}Tng@6C`t=g}Q%yxNW3Y!}iS#H}yF2S1_
z%tOAY%J8N7^D(E(OpQ;CFBk8Mdl%CnDl(#jZlPuwzk!ieYp^Nu!Qgh^cuzI=aCaZi
zLvLMwF=TzqK>fM%a%1!@zEibYU5Rh5ZLMz|aXrEnu{z?Qev$6JHdAv)DCP{zCwj2z
z2|fU=sN{&Az;5sS(w>e)o7a5Xm{+{6U|&vZdYkXwuk0@#N==_Kx~xN8|9TesH;XTj
zGh{$LLTDKIIrd8Y*Z7WQmc<FNvC*?5I%wmB-`LCaK{6SuqdW>N@z3?NE;YG!mbUh+
z@#g!E2bzZnsitB9><~juP><lwYfkI;MZSxQh&Dt`h&mN%h$zsn*Im+_<^N+Fsxj4A
ztfdkwPW4~$6qY`B9d}f;9y8rH3@({n)U05CUS`(4U#)(w&L}F-nMc@1x^B9o{FQ>U
zrODVtY8AU*IIiCxGqudOxGOP#N8O4XqyJMgmpjb#S7)d!cw2;%?gzelJ9sX-AG;B#
zTe#V02n-U3%fppT$OSA`HBWt*P2;a=lOq0&>=d;k+7fMxx*fSM;vM8?G@A2VbErZP
zAbz1bIX^hZf7-jo{kyA$v!UbvIJyRCx$dt!bM2X@uyJGCwr$&N*yhDaW7{?xt4WiF
zjcq&)?#$e=@$LV&W;I!Dy4rW={&3Dd8`T^)Z4q^e+RAb^JN~o7x8N7)`^Btf*5~$P
zT8it4C+u?sCq&(emSj3ROB$Dymi8uBdaf*JA)q8N{FF6u3i@0>{|B>*_#<J8+zpKL
zRq*SAYms$1G!zMkkZh73-=*J4Cdj5#S$4a4)G#KwWNMYP2dQ6Dnx^DUnV+01sfICT
z2pPU9Wu>`X0gBX}gumOOz)}Bd|8rkQ&r8=AXK%+I>k!ix(-Bi4+?5x9{+n?w+hty3
zYoi^3yYL3j$bcGot?NZTr}OYbq=dl+MDkn`i%Cg&WsKYah(uc<%2t85>RDaA_}uX4
zKu7-vUtj;xK+n*~2m$XM2{XWaL?vnu<K;F<1&q^@%cs^(%abdf);X<X+Jdx!Y2#Au
z$!=pWAe>9NdsI|6GuATFA*2K?{w+SIX8<al1!@y(Lv@VpxGmK-(=yTI&TN-4H*<q&
ztSxF!aUSwi4g4=t@|Wn(#9Dm{xt8fI?MM0oY5dLD$zYb-O8Ze+C}It+2VIp~M%307
zj#dgy4~#)pr5Xr?$HkiA(>vZ#w-^qk1(;v?!{R&i<)6~#=VqV-DW03nwJPmm8kIIX
zS-_JUlzpPW?V}>PZPCIZoqw(8kt^Fd+Bs0;w0Vwf+jlE(scC*_>S9i^3^ogJs&}LN
zuk4!cI_A3UEgsk%vP4{oT|_Bz5w(OHE5F9<X{Yg!^0%~8JSY4iOyu`)ub8sbYW@7g
z*w{Z|XW$v?N-un7nj)Kr)a}*RMpjC1I+f2al~T?d@2BiYTa>GE?&RE|v^J^nl(i{Y
z$y<{qVRa7V&%=AVxxQSyb9k!X?rGq8=2l(fTqiL_A7HO)Z=|I-2Rqkkvz!fFNm`O^
zrTLn9G&p9t-Gkg$++)2re3b&%L&sz8L<2a9RH9A%Hfg?6NzNm#=2iYGA7!^Q<(Zju
zesaFPKJ@mVqNl@=&=AaBzsD9N%786m13P0Z-14K`c%htp%FrOGc*@4qg{hm9bBsBL
z!G?m$J?V?^2mgxg#N4BP5Oa0^#I8izLH)BP7z=a?91YwFxB?df9|EHTasM>G*{=(v
z`p0@&Xn(7@EtvMGr5$w~b?pruGn{o@J>A`W-Gk49r9&O!ugS*j2>4Ww;@fapOk4H?
zvRZ4g9<~~PiJQWjDTSDyz(g=!UUx#@i&#a}Bp*?Om|2X4&ZL*JP5FvKb?KpeO1>fl
z*oAzy_*||cQru3YK(6CnvIV%3@a^8GZ-h*<^T@ZoMacSw&?$=0C00rlk9NoR@Gev%
z^fU0<$GSV(n_If(%+K;>P0u0BH%$jjC9Rii#T?xo4rej15||yzi6>D#*nHd@ZWsTJ
zpC)*PY2tfy3!}u5LM?RjMd(w+Fl1L*^h1c4ek2m%8j~H#JfuYJ0Gqo!m79J?cV~>u
z3%GjbV@tAk;6>hnOF$#mpWn-;^5wao>@}{Wupe2K`=S1r%AMfc>?5Wgt&)$4dpar+
zh~5pq4Yc=l@MJm($8+_)rH|=nW|_>@S)X&3n{u0To2Og<v?n=pTsfXx!D6Au;ft}4
zWG0gfJ@5>^JAaw;aI)|kRaZxPF=Jtpp_A(mRA@7Cji^n$&=(>E(oK{Bx9c-<`o8HO
zfUUehH%mX7?9B9LKQV)uf=nSyNs9A-a{Jhtd>-kzk_`4AYy4Xoi@vS9R7|=fH01BH
zN0F|3j(VV95AVzhp{f2VUXQzj%c-5U&#`gpBg+=^%ABIvi!-lhJ;`|j&e=`-8rK$2
zE#D~rvEaSP{#aK0BQnc&!Lx~G$8ajIah=&HdyQSg3P_c8G1uq-^#Hj;3NrZ)z>RSV
zvKTAr*F)*JLtlol5XHzU;0P1+VK}OfWlM6OxeLN&aX1jva)!mm6Gpu;m!Yh}0Ld<e
z-nScOocZ`w>{+@Hl|mHO&4@ok1(6h<5r_dB+UgwXC=3>ZY}t@AG;4Y0k4z$Gig~c5
zsr7$c&mZm$-hTcnp&F6u5jJ*H*AVPYWK+T0t^hKKMRp|P1iQmZo*{1`MXv;TO+N%a
zKQW|;eE@5CG`N;csaZ77v}QYS55c^uf^J}uFho2geh^zp0qKiuR2s;`P|F{Z7D>yb
zO7bXqn^a1Cg4BWz!ce|C=V8v!Zt5e_$4==k#@j_Vg+BQ^d271QI_-|q_T%b0>k><0
z^T`}C=VVS#iw~IpN844+>@MbQ<6Gu;2FHie!a0$%@yST=d#o3cm-kaY0qK9DehIX+
zCVe*6b2iq*S!5f&Bs){JX_j#_33fjB2vd@Ag2vb9lliwuDIU+C<MRmvgtEd+{sNL%
zy=)J5Jv*1{!;8XO;R(>{yy#rliNA^)gd)I)3-W15^Dxq#$S(TAi3ibz;eo+E{)=9x
zyMX(wi+7#Y@;FL5IL8#bY%6Y0)#^A)I4ip19tSe4=J@6zhk2ua6w+|722Y2cKpT-S
zawgIi$&XK>(_@{GGI$%Dj=tnV@(@&^7wCKR62`>Fkb1j^D}%)02sa3o_EO{%7sGk8
z6S}nFTpunk^i9_}Bk-&8=vB%I50F|+2p+z!Fd2AmMS%l1q6R;g6Sy3vD)WijLarl@
zLuvdraV7p|Y(P|r<O{zJnvqak6S~c+-m{+Eo}q5l+1NSDdD6ManWF`@<yu5*<ZSJH
zr1`Wj&ibw+uAlBt-fzAG{$|02p<7|d_G2sI2QgcpOg=$o?+E4;n+IGqhR=&UD--xI
zJMkUo7rqH9>g=BUGVro~gHEglH-Kve{oiApqzzda%Ff|z8DvKM&i%(%5{3(`*iIZN
zE)q|J<CHFzz_fUVU_-X_Da<QA&?2>(sHE?fxE&*+EyKfum;JST+dZl7ZO%09FS}hm
zZryI_V5w|*Z$4svYhGgMWo-ea))(7-yXIKroCMWrTYn^QF4P+PAUUxaiE(4d+0-Dq
zFH@Gi#pdVsa~fBO{}WoM!F&beF`VX_Bf)wJe&+sMCbXzM*j4N^b}_q=J;x?<S?DD?
zKn0OYydcg7zTHbHYN%sqYnWuXY^Y#NHg+@K#`OK8yhAD{&gNgUYvBJ{Mt?ogJiZzl
z-Y3B;{-~Gqba1KKY-sU5s?V*ob+{$l+}O;UYnV@)Da&0;4{Ja57h7(71IGp}<{aww
zd-nNi2c89ghc958*p7H%<j}1odXni>G5Q+RvoxCl>})emlK_%KjQkVsIW&X2xRYFj
z`vIQDHuTPa^ATP~-tbYuCX54eb5trV4+3)XCnl-4<r+#0r4SfQ5%~-LexUqax+We6
zJ98CRhPBWes7mnt8=x~Lmc(90PJ~tm7Wxh$|6+u*npWPy+P|o7YYpojX!_=uH=2#$
z+YPr`tpBN+t%f5_%kS*&+UvgN(Y(X_N^mjMzqz9|VqN2dpckrvyu#zeDRL}Tj&|Yf
zw=?CS#C*g$*_L>o%Rq!v_}#pP4<HX^jF5!+w?%j%#DyxDF})WTNrK!DJeL$DU3sm<
zfDAe?30z}1V;FA8Wf%zjd$d$g{K${yyi8SkCYg#J@hQ>`KZb=+slXba&YSKo@5<IL
zI{vadZHld}y3<<F`owb3a?3(nXIWF!4Qgv!MW~q9I0|Z|oo!sB-77u$e5d>zRNr^P
z&7$>V^^p=%5pDuc^eWQMc3@qlA@}?!qayeDKQ_#^;dXN>w}5wH%`6u(gr;C^tP+2S
zy`_)R6nxty@RQFqJT&Yyd^H%2O^q##t&F9NSx8zd3bdrByjeOTP890$g}4_?H~Jy@
z2k}j}Frklciy9)Ukfd_SKhT%#edk{9+UI<u1sqnp(LTU-RV}32tZ{2DHILd|J*fUr
zhuI3-t@e(N+*&?oF;`yqIFHAh&)*=>HTY*}a(GT;XLKKU?fbz?eW<@r>>-yT=h+3F
z;54=|=j677kK7ZP;(v)%rNzKxd3iAEo9{BM^j4NC=#&%&yI`Q9AZD@uD*q@am6=L$
zWt&_=o-T!<1AZ&CL~Xi-+ryq<?$Ph4tK{#*?_gPuhCANZ=s9pwb)m0;9sXXv0^YFO
z=VDxCoc*;qU}a@MrM*BctEQ=y)VAt8)uWEJeYefBmvek{9M{e`Pr2^6e|mcQj`{V$
z^iUw&AlfH3HoiM?S@#U}d|PS`-HWM<+U*e6i2n#KX*yEGYl^2t6Hu{@(kH2~JWjqT
zf0Rw~Gx<2?$~A#HPmnia59E^HNDHK2q{Ct(F-y1(40e{#KnUZcp!t5>Wj4+<Vm8t6
zL?x5S8pK%rV4Wd>S#@-Kq;&XNaA#nmzmSjh=JR}YEpiUiMmzf0hufa2bJa4cqPna!
zl)>jz$=1(C+D&$+<Eciw2D(pqQhe!nlJ=n!VMNNtipB@Rt@)1LPL!l-&^3Ujya$@8
zfhl~6uMcKX2XQOV*a6Z3>5}w9x-0FF(lPZKD-FS4|HFzqA@!)H1Qc5ehz`*yrhzZG
zTzV+kB?6e~Ui|rEv6i@Bc+Rs}VGR3_ZVsl^F#RR?B38q_cPXd~tn{_<YVHND_Rg^5
zxqYYY40d}Pt6*jE$z!c+U2fH^bJZ%g=eEiAHjZ@dxiiUq+*8mu)xRt7C@3OPvlcRS
z2SJB-T4&ckAr_Gps7q8?dK+DvdC6446Ak59ej0MnI|{pz^IlL~iP`ol>ATcPekpfV
z&MBEn685ufNHJ8$G<mV%gkd)3+T}3wzpVVK9Kp18w)73R_e5bg|BQRYo?<rB^TE}+
zsc)jY6>k>19!U?^h9^Kf|9kIc&v5K{owJZuz)=vo-q&in+Da|2CagJDQJn&YZZ6w8
zTV3q=FOL7T7tRN+zuf<N&U-DssJ~IL1#(0CM@B}sLB*$s<8mIN3{ufa`Y(Dr_Ine~
z#XaR02)~NA#Kw3ZWw1x0ay6wfvc6U+OO%bu9_1UDVx+;UJXdZidzH1yBxRQJn=%9(
z0Y<rlRp*hWOYg)oz!l$PI#`IS%;pDnzK85ir0VY^M#c@X{gEc&r@?W7vVO1kk>_`J
zKUXbhX)PZ(ZIx|<)$i7$)>YQw)@Ih)){fTStgmpF<id_QY(MGPuSK1u-Ge=Iz2|&+
z1092hL(juSqjh5=;@1<&`i?|L?3Xn9F+CNSxQ=_m9ppP<?ywJxn_bd-sl2>EevMgf
z7qCjUDo2!iN|s{7yLqnc1J9!odRw3TO+JdfGe@2!H<A6)cBz^4UK}7s!BixK{;2c)
z&_BoMH`Gc}B2MZWB`(DVMZMvzp)$b-{*Jz*p26-4IFHXbF57*!T(;rrb*NC@T8>$!
zTAEq<Saw--)+yH9>MQjsp69m1u2pqSb>H<EeM9{J1R8~|g=<9rim~u;U7-JmcuRh#
zUeo_FTi8)tN&YTBTCfU(F}2_@JJ}*VmdsKT<~skI)(??;%3bA|@+SGTyj8v~AHq!G
zocsu^0;5s^x1t5p<2&*^xhPmJ{Uj?`*sn1`AJ4Dl#<NYCJa8M`O*GU$giGeJXuHT8
zoXVU1X76%OUANx#Ry*kU-QLAkK&@%*ZLxuo-ok7!hfQ_=my2fZWXT79_!ZS_tLa#-
zsm@t$!8;3`^V{I4@S{kn*qXQ{(N_O2vMBS@6@ZH0W$SRCxIb{G*TYE`6*^+leMY=2
zJ_ILhE4Ux0G3mXIogT(hCQD`Tq~o#QFG-&zJvxesIN{!6lE*8u@<Bc#55xI<NU9>;
z!qjG=a1OQcI<^jzMa?38$YT!1N5(#)pZ+h{C~(AQ@a}bYb`^8pb*#3Jv~5*yTiupg
zmR;sP=3?eH=4R#@W{3H@WrMZ5I^A}|&T7fd87_-^fmiQe9MFZvg*A90-;4(m`Sj(9
z`ebP;51m2($rNEPpn^>2o^mz#iRd=(@?TJ=6vX7FnlN5iDIAAd#R4`*ak0O+9J?w@
ztS%jtVwetY!#nvVb4rp@2A>j20`G39EXt=PgVYAI_l5jAZZSKU`GtN)P9juj>vCel
zqff&_aL=stC;OgzcDo0=ra8N4lkk3y+3vw}W05t@n$JpFt7FxTvtG9TqTW|0*+$w2
zISyzyoUFT(=dQP|e{$e^uya_5&W&9HH?jc`fbQfJY68+%FEa($&F~-S$c@DO(8Q(j
z)%iMnZ!q<0qZ28J+I}Mc9Xf*U!YJXZP+wdPl|>xdlX21s=@oKaOM|J=U7m`$-yFFI
za@a;<_lyvYsKi2iO@17=1gXMR>9W)#Vj3o%PvS#k5^Bn#q4R<AexG-{=Qno)m*gy_
zb#W}W|7+`QJEhiC?^&N%KUyDH%i(M*XFFuOV&CED34fT*$W1-tspH$|e;DYGJjkli
z_OVCtT&Tz@BS|+8b)7m)H$?hx52O~8Km#gs&A5%IDmMdX_{x>#-*Y6oUy<iAJ6X%0
z<Ztu;@L~Q}VH(&s4xx_NMO+BBi3#1}SMe&CCo{!LVv6`cm?``seBx*F3GNT>BAdY!
zWf~xjcpQnjgTARQUt&$HPc$cd33(SS14aB_z5jV`xsSRYI`3=e9e>+@wa>7vQER9z
zaAM~`$uLg6t~RkL_Ve~$jt*K8*Kqe0Pk&z*<cHDFT8{!&JOmicN5V!9rspuVfNd;+
zQ$!XQ1h&(j@5K-0hvDZ>0<VtcPja2P;#^tuEFHO;Kx%e#2jF<I8r@Ab^db}Z>tIQ=
zhd0L!;gRqP&-g34mNDWu@GBZ(@~8=yg=WGEd@tFo#8zSqG)G+}lJqwcWc*4r7#<r+
z3g+_P^|tnucNcM`IBRKd?JQ30>FQ0Z0Sb|q7K^2-b&0jQdQ@F%>te6r=%P(Q_hRwv
z_e}{j2sMdxiSCG1Pu$Q+L|1f<c3K1<auc@(_*h=t6h*Mcn&5XkXU0!$N2k@A&BJbC
z7BSzM=g68q%H#ot)e%)oXSN+y=`@b!SD@$ViGKYSYU)wqE=)}gQYG9!n=lEiC>;<P
z@eL-1kMJGM;Eu8#paVOADP5AjK3vr6LzO)@bQgX$_q<QtbzME2hqSAX)ArA{s<uk%
zY^%?*#S$~uw+yzZmJ8Nv>VDe_=(6@|FP-_^eQ+uq3v57c+ce}a)X{y@Cx~yzOExk%
zPr2Vv@xRA3?m19G7zFSN??FGa9^Fh`?gC4)r!gmO!n9!8GsBsl%mjS)GXF9HTNEtW
zFuMcTkwNGK7SdBxM?b}nVtbr_2k^Np?UUL{SvV_ei%W%9sN#xqi<u{MBPv2%0KdZ#
zUmvX)DGJZ_!hx{2viGBVpUbZySrIjL7kh47vQ1Jmt=p|dtv@UatnJh;a0r=W>usOn
zXswB^_U;azm%f^T4xwV<#nI+)Z{Dc$=xORD)sd+L#l${tG{2R1^BjMIKaW!`pRfmN
zuO@hJEzlYN%l-{FljH0mwkMFJ@pwZX<{7%7m+S;~Brvy*{0ktVt@yEgd4Uq%W0#rG
zOH33ui+#ifA}QV$1_@h`6j@2g;%aaS<|))N1E^}`Wj%>=yiiPyypNm=%?WPvukron
z{RAANzAIC^<5&YvpC?eQ<xzjPwy{hy53`iQS{!5@Ywcz$Zu@3GrLA_xT{}FT(Lw)?
zWbPxe!|{8G=Xx_)g?`7}06VxGPV3cz6DZakZ~_kCd`^-U1Am-`pYu;3FLih)*O$A+
z{`0?8$2jQK^nUs#eFU}aVZ6OG@aj7-XVGO;;0~i(wQ}$HYS>{bup;Z=zgSZ02yDrZ
zZf^xn^shKqKLNvQM7N_B5<id`cM1+&8R3Va=D|v+Q*U^>xNS}r=U-9B3HwCbSZk)G
zjU~sFZmMbe9q2$C%PY%P>jJgDO>yKyX5%UMR9_Tz!@=<E=m>Zqe9$!}574)myj&5^
z&+p=gfEBe<%nxk6jPyp_fjW64R@P2_7PzEU`6PG`T*K794|A3NPJg2+&^LjoKBtaT
zzd|$gmFh;Xr{6NAfE=uVQ_eN60H1~vA|`Z#zsU#u*WQV_q^CF+&!ekw@O}77Tvhfs
z{e^l-wjkc?x+M7cve;|r`p*Tg`p5dSJ(oTE;I*~Y`P#9?aod*9wnS~9?y=rABQn$~
zsYR_(%Tjd|{7!l~va}ZNbXN{|S%rd!f}!w#(PgpIiJ!VDWIcGJ)7UpZnX+)DnJqlv
zYhn7mi@$*>`wRX8)@FcP0{o*YSDgKo-Ns}w`+(99Wd1~I{CDaU)rHQXaxo;cli9%}
z=-rGJ>ed=KO^@-MFjSBQH_(MDVEoq>Q>2?<Tf7#IVtT(3$W{!f&r5tuW636jUpFW5
z6z(roVl$&-!y`h+0=4|xeTTi-9s!x4Rb5}TD_SYX1lxFZfVx?=TZgJ=k!fm&%5#}2
zK^^SZO1pNuPoOS;3tXgG@Mh>qWC^<0EeQeB@i9bz=s+Ey3$qS(9k(6GQ+4hh7vrW1
zV{q1O6tegv?2=l*r`GUAc^}a1v)pI6NGxM{mO;|-4B%Cz*bU4foHHTjA100az-<8{
zUXe@UMk7!58DB+M0JMt|GO!=@xB-1!dw3%4VQowjvyUoHjUkWYr&yq$s{12;AUX$}
z_iy1>q4~i<f&RYVJty6_Tt!^xoISLzj!w3v*01nk60Ckpz;e~v)oKI#`@Oor=CZ$W
z)N$Q+4RzbRcJGS7-N4Ln%V?|EwfN2irGKL*sgcxr<`Uy!AK<29fdZ<+NAYj5k~CDJ
zz&-r|JZ+$O13R*eSV}Nq&F14qai`gSK(OvJ*~}jL1$Ls99?rC6>R~4iWR?MY$;*xc
znq7z6fD>5dU-6%~#r!&crf^%RD=3(J9^mG&EigH6$>z{{dLOxz@ajiHPs_zQ<Z0=V
zX*CUL9UHyFJR6~E`=VXY@@j)@igk$jj=7$tt%bMbvCcLRGmka}%y+CcY;WvC97nZB
z+A-Hlx5azH&j%NV=SQZ*ipT$fkNr8MOf07_VfxSqwc!TbQS~KOW|W>vePso3pB_LV
z=EyoZAzgyXXRI)le}K9x6>nk{bBcaOXHyR94Rwq<2hYFL)Dfx#ZN#}Vi_x)T*~jdE
z+-+_u-eUtHw^$1MupauyolpROMqh2_JM%HNHoJ)-n6c1FTj9%}SGOR3H+DTbJVJ(_
z1bU%1De9T(e(E%9_Z=qtD_e1OqGdXA>8n~cSx%eZnf>N}%qz_0uzFwG<IuQyfUWj%
z=kpBn?+h#ptqt#sEQ_^>Z_)Yn*<=}{+VWg?ZZoeFDvI5~oHc<<{6Ic{n*B5|u6A-u
zd7yMs{7slGOyIZk<+wat3JZTJ<_*=Eu7`6cg(^dhp!C#ysugvI8iA+J!JT*rs_9wW
zT`ryf1vf+k+~{9Xm-R$FT|g`>))CJFml=qa(Vd;aXmlB5=58Qz>+dGc;$&?ZwS?=2
zwg;~Im-x<j`@4;<J{qf)*FM`Fwqn-0mdTbwa9FDLzfRL~(@a|GS=ZSv;Wk|D_~KaN
zEbYqeZR#5mhy@CTE{DSrXRKzztjkT@C*M&2G6vSbedN4+Z&Zc{q_>ho+6|_zOIjx9
zmW#>rrOTonSipE87f$`Na2u=0wne3Qmrh`E(vFT%3!q0_Ohu5<dI4Soak>Q4f%zX+
zbp*ZMD=ve7!Vf|{WQGqN5F6o>@HZa@zm(xB1JT{V8rW0xc4|4fjHpOd)X&y!PNc;@
zMh8W{hcbgya2RTu)!yOmmaZwzX3h@UIGnbh)sxnP*4Nfv*3Y;bhgx%4otC<4x-HfI
z-d@eIQmf@0>#FXl?JWj>4I<PmOh%W+uEwY79_#;x^W0s`dcH&Peq8AOKSV}e3a0oe
zU;+=6$>4l`kQMoxG)DS~nt29r^Bt%^=d;7uCropu3bO(?N@?m9)tUMg+?l~(&(sBa
zvWkw-Zn_AwhWW${1d2VJd%%r=L*XXQ173477+VgmJl~&B=a#XTnWZ@KztCOi7bFe7
zMi@@XMbQoY7Ud!bLi2(R1G)XZy%}!1tEsE0bAY3!eKOF)Kdcvk9`v!iF}E@|GS4>;
zuoSnBP@UG@z}AP`KROmWx4Rd5O8M6Lz6AP)W<<WliX?`?<HSRbqn|NbxQF~PajrB{
z7L}$-Krt8w7>^h=V_suj!zZPOvQr_H%knL$oj419v=?{3nH_-Mb3UC1-9RbIMjppx
z>Ii=APPQf|!F^;K^^x*ZaU?oVqC4T-JHXapORy=d4-=pL+(3Q+x0+qXbYM@iQ`v58
zQ6?RI(qOV0c@(|U81xkss_-I_I^n9J4S^)2A<ywFaTj(i)2cbH+sfE3sz0qQtpzOi
z&7I7Lpjtm@&Sj}$X>aAMtI#zKv(I-Vw4lr3-sm0f`x<x;uZ6F%R3x+RBF0m-n9J-E
zK25BRI`f+R70v~tjgyQelQNC}8S5D<K_Ro)P{l9-Grew72Qi=65?tsF$g0l4&DxnZ
z!JjlYp0^8GlPpC3gS+c4W?CJ|CFFPV0lX`csBd`Y`Sg4A%l+Xz$+F38RW`;{VEf}6
zYtFu51~HH5MRXtN6LZMV#92L$duJa!Q(Vz!kv6zp#|N7P82@QcRnHsO1XoDw<>2i1
z)iAJBQ8mDcud5|$&SUv$DQlggey~ndYuR?$MU8O!U2EKbc`N%42a1Odgq2uQ{0b5w
zHj@sj0V8si_&VsuP0}<lhSLnA4fTOqcQSenS1<=@ZK#PU<_)<66e$<Q55P>ffdgs9
z?Xrvck9OkbDnQ*Qn;?B=1F@6njl{uH#0I2z<pR2Wkq9H>YXc=g@p_lEV_N!%zD4h&
z*TLK55Pb&|_Eq#Q<RCAl(x}ViKV+OJ0le}YywchvA~7T{M@vLHhf9Y}2PD7W8}S&u
zXWRu`v$Rk4g#Ds@puLlAih2jTc#HLhwUXLSeFCS!`L>1jx{emwK-9Wvp1-}Ke_tRP
zTpGR~?G<07>!aUC{!VqqtgAF%RO}|cmAc3afq5-5yf<`$#<#RlXIx+yV=!Y!Ka>~C
zJ*4B}RG|ql`xD%4_8z!z&2aA&ha-uRd`~PUIufmkfIfiyjmP?$#1y#mH9@xeCCrA;
zk{`&O)Bx;sA9;%!jd#9|E=~Wyq-`EOh~}U|tVBJ*swhGZA$sc%!n=GTawe9>CPj^r
zXsBAKa`2~rqHmISgJ-on1yk)!jwX%`cER4yHb?EI9<}o7D{BYfow9AV?UwB(d@8Df
zy>SS-@7LZ*el3s^-WC}NZx`ey5VOej^cbckR|xvLAHbM(N=K!&p^L#{NW$}eGHl0Z
ziXlU(q0E(ENWG--;w992Mfh&qUDm-=WAcLS*OF>SjUZ$2rE5&IB@*xwIsxtIX}zBK
zj2zP!`Y}X3Vl`0&Y3Bu~+Q@quLGGsPl$pw*Hd8C9t<)1#($}aCSS#zvs^liZ2+m<%
zARqk`wc_Dup=jmEm~fAfJ8;fF-*?tK-ZRX7%URXA8_#XFU$Q;0jka0T$#~vW+i$i;
zww<=3_5qGZjzP}Gu5#{yp1xk6KNB~xA#ymnD1IEis-wtfl$+kj3b=*y11q;lhviC2
zdBZ|O3qyM-%Hc_3NHRQ7-pWnoUD6<_u=KCM2nqDtF*c1ojLAkhIvw}#EwTjW8@=&f
zs}RYAg6U-^y$=4u9gugvi+H8?>m$IyTaj1DbaFR5vm9h2sy<HkD>&J2<CGVvFgb_J
zA%8~#&LrYGwAX*=Rwk50eq?l=0m3*Xybtq*yn(g;8@{cc1MYmT_i$P}t5w#l_G$Jn
zwmkN)m@A~(Yv68LVIS)VI0`tYyXv~1dggd(e}RAy+7xz04#QpG8<K6tk|pTM%zM_$
z(YPxgi6^Cy^hj={+*X1>d7ml$l$DB#N!4-rJv3CcMXyj(n9P6Snt~^Pg>lj&=@4qH
zEb=l*B0YO0F&YH@h5EJn^?HZiuD_*E*H6%A;AZGYEFuoVoB1iB5f$<50rD&Plq9Lf
zR3AKXWr%mGQ2}xdS(ZFQG)3lAwjR!1y8OtjECGYE5zz*b24QD#Qeb>wpue4Oo@cT9
z7dPQbbw1bfXm(&jXY57nMeR=e4LD4ccW~MOt+I2RYmoc1=Pz$bf8D^vV4?7!$n2O1
zSLUaBf!s)4LvG$#?jHXcNCCLK(2dtnS^=qFtDIHJVIKMtT8K{aRf(2l@gz>|(dcCI
zab4M#%thoUJpmK=6j_w)i}!p6?{qJC_Po9a9J`z7+Y;OKkKrCrLEoJCfX^Ue9G<={
z`Gy>U=d1?@>MuCgQ)rF4hzj*9<py82B9%_o!wG(n@WJo9g02-Zsy4ulVqauNcu}xr
zuoa$rEhc><+=pGyoY%GDS_8)``!`#L&0@=MuW26uCx>J9l8&j`VYn@~bbka|ndCno
zs0Pm8kZ70q*u)rpR9}?pN-MZAf8p;7ji6v(BYl^r!8u_!<`Sosr%;S-#CNb=jzG<S
z71(17VJ+tHGC1>NnG953eW}05{bWh<FcF1QNn1UukLp&!&wGG=9WrNr*VWO_K`PUE
z_%SU*{oaYZMZQFieK%?*Wy0ESK=-3R(PsJs-GeTH+1VR>mQo?yd@YG|s1*G0HeVg@
z8G9Ew9bOu$5$qY*>2K(}<hkpr>-xnxL96WeX8&YYfo*=b4pt+o0nhBk^FOt7aNBv}
z(s|x_65bbnUFd4Kd8Av+j5Mjgh!f;ddO8zj$MD;PmSENVfr)nyC80EhcCwpcj=`h6
z!%Rj{g0cZs_Gxjx@Plu}PXpStjxp1@>2B0f@-|NB7y9k``TAY(ZS0<yjC{@Bx+Tbd
z(Zj)fGF;yK!F4@`b8Qmtw2D~Q`>BVNNOz+5(tp#9nbqi-H!zc!Hq2N0cbw);!I5^8
z`QVpV7O7Kh6W;jrSefXe@Q>i*z;gc&-%;;5_g~I)S`n?Pqrcs&PQf%JWPNYxj>+Lp
z^&fRFoQ4|OzX6#p?$X?;-fO-Y0dw#~n227Ach{wYS!SUB*VB6V6mgj}S$4^z4d)F}
zLqDV0I5kN%UNBZM{xFO%EI<ufO-`3)qPJMWr*ebY1<b$nWt_Pp`C88bKl+}KklC;+
zu_FF7nlIKb-V`|phvQq~W#h?6W@(F6uuK29emBvLd=Gq~G48DP=p}2gUD%myI(r@6
zWL|J7%7O>plyTuMPoZt#jSbSzL9WSbU{igd2cHo9HE`dzAFF$>v!5n9GVBX&f5JI=
z8YYb0P@nu|{$|N--J_PV6|o(*Rd%#<I$Rq)Rea0+g@U2bkI15U5nVwdFL{L?281`x
zmlTW3cDX$iccqMnjAT-?q}54VlG=kS`3n@;kCpsNL%ESeLd*0D9l?5L1l^ZfK+Yo8
z>aT+b#V3}>s>N@_H^-01XgJhXjJ?Kl--Hjylz1aBq$=qj=#x;f7|3hnWV$4ClSzjg
z_<nXh_!lG5o%P}i@&Cd7^C`G;PgsR5!Q`SXWOXtZW_X9;J@q2mBw`D`3Jmj)#BJTw
zy}?O3{;`#_%~H2oA6nK~3R?!5cjmm$d2jk*X{K()q<EA1Qf;AyoR7S{ecQp1HH2ou
z$*{A2ACW=D=x=O0yyec&i+zH+>xc1lQs1Qid4aS{{+`??`7j(owi`MrywXeFAhiXf
z%*`%j_R?#S=6#1)i?{GDegH0j8PQ9T;n6nH4G}78id2qnjFgIwiWP%*3-TY4{A$%T
zBp6blwo#qvaZH%`!7jig>M@Xl-U2U*A`RuwL7}T)#f1DOw+ee_CvB&;lEsJ{x*=fi
zDA4=<2o?#f@>TK{bYFK~bu@ts$_nc}%VqOs(=F2?(@9f$&dBT^IbF=htm~`~)IZfy
z_REfdtAwwe|6JfxuvR1-E3JD>=;)422J7a%VtKil(i7evQ<EMie@rfx@;teHa#r%9
z<dw-KlO`Kk!%X>rv<cmAQ+_M^4qjEg;a*Wwe-t^L)nX^3;mDlGxp2L3O89?yuLr_a
z!|%eOaJ#4}`XQQ<sD}D}4AMsK5kuhSn$B!RXJO#NV8ML?9@t%iAF$LDzb}&RNX5bS
z=`D2T2`(SojVVj7Ays{IU5EHc<l3DMl?c}G_rZRy>}=s^Z$E1rsCKk0HidI4=hVy&
zXAjG%ZmMBwm2J!!W2&isvbA@Vaa`4wyEIRO;HJ=M<RAW<5QqlUH0Cn*Qm7`WaveiA
z<Ju%C`Db#6lx-<<QVXSaPPvt|KB-UAed7>=3^jf&aVUR?J;V&6Ka+=uI{JNy?dbQG
zMC8cLkS{bUln7=9h6R2GUIgcbKZSk?_X=H%)Qqi)_dzbq3Zx(EsRY%HnaiAKKXEzy
zV_~LfgPLobyaf9CGMHHBQK~EFp*3qPl@YrOZ@44u8D<Opjy$C|C#s<~YY{0QE*UK5
z-|ac#N;r3DZ{WAI-}($baew3-$XNuxkKtKka~hexn{+v)avquLTmR=kUfktz6>=~3
zRR|7`-ic@GW)qvq-pp-Qgz{~h^2T6HawMfEo02D_%ulJ1nx5Jq^+?L|q@%`4h8IwR
zaq?KPCSQxqM@!URVz2&nA|2e41ra4Ig`NZt2d=}F&Kl4Kss~yHmIc=bD}`o;xu^!W
z%cXH-8tICXP3W1x5E`<lxSM=F@s;#K{;m`T)-+LRW6%s|4JJc=!*J+kcStRuB4&k|
zTqSl3olMP#R_IkcKitO}hMOQ4!3kvOzH5bc*74bP1sH8BOWfQ(r(Vvstku~QvvOr;
z=j52bTlSbbnp&9uvX^s>_P+I&^;Pos2yTlM)m<gB=&{UCwh6Bnf0KFmOLb3fld?Hw
zXUgT2W+`mS?v&aoYf`!=wKe`Nmz0hOG2pfu`<$LeJkx!QSC3P%1<{s~xuFKZjsCs<
zJHA2wd;U&=qJiW<jlh85ad?f*i{_8*itj=$@_G2y{z9)}_Hu)H0s8!1n2LwxXG(KJ
zs`0F$xp9DDgP|@s7r6}~%)SqaIY5kk+$dJZOr!oJYU$r5{*CR6o(S&<%?|4Q2ru^J
zcOP^WfM@y%n{3OY)&bA@wW)`Ba89$Fjyd-r8&S>EZOd)#Y<5c<hwNVOUlSBU;qaI6
zve-slA^IIl^Yetx;u@*495<9rzMbqyK9SrO`+8+Ele`^HTOSNX3`G>XxSZd_o@Xl3
z4E2@>>0ZS1!}s}XXkI7?$G^LQp-5TC>x+X&x+}0GXbEl!C51a;g7!2vOBdI#K%aG+
ze!>*OJadq6Tq>fBS0rVHatN*-WsRkhGK}vG0icWz<QACupOJnONANzddmqwGsQP3w
z@rSNk+!1{p=@B;Lwhq8?(dd2X)?7!NOSJEfiw?@MOr2;wWm#zX4anGNF!?h~CoJ=9
zOSB)38Mc4zN3^(acCd3aS2O{aYGYzOd5__QHt=^FFW!-ya?E%xiBD;f{3dA^KJAl^
z7}E?3mAdjIsTY2d>g-giA@~#1^zRbG;&Y<~!>59`0wsfd@L+%m_<YBF^L<bJs{;i?
zdqURmvq;Nm2Hy59eVFJ+U84VHet_3eLXgEeQX%D_GD?vRQDvE7htk9lM6It^M7g3o
z8<W~6nBA!CEanh>m)cD3(_h!sOLULti7f}7of-NySTyj^Ki&Vz_W&%Ez3w@##;z02
z?NBltcbv4pwRN!7P&=xPtew>UY9qTr+v~dN+N|wyfI|>qq90M2xnmJHs5d6-vWJAH
zQd?P4_Dh4H3z=#xoZLR;K(Y`1CM6VBUL*CD{sJCYny<jVCHq6!a1|*}|I@Yo3=a!c
z2{iFLd~f}=0=~eHfHRQeR|2|V#c-?WsQB>29bGN`PW>f9p%$?d_^IL^@s-#d9FSAe
zY9+VPjlOOs{6u=n3#6X%7jUQU3TOF?+*)W1htQqrp43dTCQ%Fy^sVD<VufRCqRG*c
zk-p(*@IRoUm;6utxBcb(rG4eRQ$2@Vk6i7X7oCrs9>;h`GusUC??TpNHq}-}>+dY<
zsp&eXb#+bl91FjRjzh-URix<jBd*dd`EJq<Wuw6kZFL7Z%TU)i3<{=JN#6}e<lb^!
zafzV9V`o1Qt(Rmay$QR!a&$+eWn?Bi`;5WY{&e2~Uw41u;JaXtP`S{3%(BKs>cqas
zCm<=|1DPKg1U=co+%SHXI83@I|A(rmHF!oV6r<8oc`hHs_uW>iE=s`mo1<2_!%Sx+
zx+1lTxTXI9|Mtv;A6Y#6qb;LF;htVT{4Ml7SS~m>&>jHBAO1_eZ0}glNY8n98P7A<
zYUgyVgJUe_Zh5f3``HqB?;D-3J$`p3*J160r+gq7-JPgHeAOL7UsM=X%OBzec`sI9
z3oucfa#ds4@DS|TqK2)gM@g|TpO0M+E#Vky5IIy|A+aesFI*$kHFP1Qg(`&V21#J>
zi~ZSwT_Jb)U*zt5h;BfB^F5tL#L1KNHKrYS)WwC`;zY3~G~|Byuwpd)q8xxHLL;CR
zKY?B?7dc@ZIva(VL5IOek*JE~0sR+bfVECo;=7OlG%>b5>Wo~9Tne`f4-74YzqSGH
z=<@^DeQw_|Z-%$2r@W^SbY+}Y1{_k0t+)CN_4yBVwyl9S-9vj)-1Qv!+z<U5qD`Pz
z&=XIPPri%HVqXZ`;hA#4&_;PJ{f#=cjqw~f#FZ4C91{-%5go})r}C2-gr>i#tC&z?
zo5QVxMd5!w9M9i5)F@a5JH2|aet35z08V-BcxL>dt`t((b>MD!z|>y|tbdv`0CW71
z^Z|GFVdV#u(s||fVgl3SB(U@^L1D3qDM1&b3Zc8{jQ*=Kl4(mOPQ?eu|H4$2i*Alw
zjjW0M6P^%`1j`3Y25JY`pf0#BaNY0mmh!A|{p+gYe(gHwY@nU6KT(%hBS6GG>OAeI
z>pJGJx3$eKtJ@ab8R4Nl$qy_blc+$SW~%Xf#mlk^)bPAqMA-=b@po|j?3jiI#REcR
zt`=PieMc>%S6@TtVTsYvXsBC=33UPUu5b8S*nkuS9x3ecXcXLmuZcza3S>pPI8%ll
z%+BDF`JKWJ@uRd)o&nF56_}$;lPq9ymXnHz^@R<{@j=1_JCXSY%waCsi+o9>LVfcF
z*h<rQN_<@`J@yi3vM)R?Ooc6>r6DoY8$IX&e@T2&{M~%@y%u*zS4rmxuz^2l6|}3i
zFrK@k^{0B&aS%A#L{Dz#P}e8-rNHFKhj<MB)sOY3h>6rjAma0cN|Gk61%qye5(3k&
z85Gbq%qB`e1^x#wu(>EZlBfHim+YtOoXCpRjlK>y2`_*X-O=!j$d|~VX!Y1Xu~)Io
zSR2$U-SmgaL-bH&Cb`(NY(cIKKS<!DI`VYI5AIzd$p<F=RIxFbuA{|IaIV_VrLyzs
zg+LyDrQVSn(Z5dzH)UdcN30cGoexF3M(;;bBh|xu;Q{(7P&N?uJN!2=caHgtzSo{V
z-4k86oF$!3?VDBz%#{kZ(U?BJRZX_7S^@WD_zI@Gw|esW`ULAl?6LQWux=&sEA>DA
zu!rr&Ul2Zs=~6!UD0GJtQD12|YQ}?b5j@Oa;~KM5=u>1qWRzQwPIx5F#*fDQ(NWQH
z(5+;JOGVa3nnr(xd%KJjxavq2+ozvF{7n|3?Mx+1um@o7+*!B@MsE_{wO2CAG3mP0
zO6o3t6j}+AFqRki-*BD}086h2)e@SBH~JNNMqf`?2XDM!jE@$God4gN3f&1F4VDS+
z4P5X?eY<=Oe06*#Z&B27X4frO0~ZM%pU-jIzRIq%&$084vRWIs7)D)N-P=4?Z*6#v
zj0^RMT#pWmPt<MGuZB9W2xj9Rpi5K18d@%x1r3~`{X#oTpBI6n(~IlJuEnWymRb+L
z*{6D0-yP`(S@D+fVC+b23fAG6*rwRISo!!iB(%LqEYx+>b3}sp54i9;dOXvVjkEu9
zlX(Vn-xmTcc7X4}NU<{}NG)(v?!(+{6>o!T<UUw2BbdYRPb^I>gEM$hqMd$*?i}*>
zdSaJTu?f(tcaQ7|2SV*bkAm}p4T5ZNO5m*jo3FI*kT<V)Hjw0pF3z>dc~={YOsGlP
z2`!=3aMpEp!%a5_eE60g+MDXj<sTX79h@3k5YC9yjr}j@`it%bZlFg%^1A}<na?Ca
z2NJ_%y+7BE>&7+aDsU!t7u%KPz~`t7<g_Qv!gXLC)enlaWXeO@$<I(Hg-A@(sRNV;
z{Kq-;8@dYkOh57T2Qb@j!p*^4Kgd<*CxgN87o2qdf^*7gel>I)#rco$4rq%1$8@AS
zp_-;E)61v_q(rs`&+I3%2wB9A=0x8_u7$6KE(h;H*}A~j!du7_cYSm|(=Isf+F#gy
zwWX^?)yGKJ8HUN<O3eTIt4{TpZI1m<$1?4r)8y)ajJ0O|*I>|D!;?^F^-a9c6^FKG
zGJJb)15@3Nca&ea0yOy#<W8~RWKt3#-G?JjN#Lm4!31>iJNYX7Yaj)sFa!GwT#?a0
zPD+8h<${_?Wq9@%Fee7FD}khZVBKsAR|W5N4tIuoff=8L`-$)17&JJ8G2djl|JWgL
z(_RKO-)1_MUPrlrruHXBLWedcu^_$>wcCtHrSR2Yhd^F`j`t<%wyCZ>&L@uT_C>bc
z>Q`%L>sL#<<rmApn1bCi7qBd_<g(tkp1?Ezu$KlO?Gv6@=iBce6f}i4LdX6z-d2~R
z?}b&VU=BG8=tq5E0oO6XekSFCA8KE4Yn#bs;E{P0{#U8+4QV636DA2f(A56m0N&t+
z;<;6%zU{*kP6cAL6h0Z7*yZeQd>5agtt*1HG7t>Wt@w8z;#u#aW<L+c!*YBJMlf)?
zuzL0a(~Aky%P}DtOI;vs1VN<fe}P)XAG;DA9HGP8gKYv~-#%{z&r#^B-Htox!Ovk9
zLL<#(y*a=6tZ9#Fhv}6mAK1ASEJ@IPl(&tyA8_P#ro$~}r8mF-a$sVpXygfM%1C0f
z-a!6IeWA;+eYtUbd!dHt7S}=%H(b6fyHUj!MRy#L?}1I+8lG@#;MVdMOwT;x4fy6o
zutG;cm&WjJuuj%;{jf&MfIE@|KOhtPihThVm>t|}c*f&hJ3+C}#6P<UzTQ;u`N{)J
zGBJNMi^17=4fhfkX5eAmVta|p`g_QC{3Bi`mJQ@|BznJx{*u1_nE1_iR@NBDzqY^B
z_0}tvC*~A$KND+GbDrmfb6C?_s59MWza_Ui(00OJRlA84Fx9im*EXPpzJyofJVVC4
zz9sn$^RF{(Hdk1vCC0?#QU&=1CL?fIRf-!58w#Owc!ln%my!anxy5o3AOmf{v>PuP
z#9P8ra10dTGxq2VzB10^hgiESu-*r7Ex1Zt8uu&S<1btQ&-)H6v0KQ;>WgWLgV_z8
zVhM1KF3>}03R7VtHJkiG@I*a*SKWlffOu^%POgP_!9`pb=;6EOsQ|omq*l(6%P!gC
zR^D2|GR%A*J$40?JExebsOhXJ&HT~quza?*vGuoy9Ic&STr+WJeeur>4hxIey;~Ap
z_4&v>nCNa}JzQ0|>Q(_WVY!@){?M!x!n|u79PI`eY8x2CYD}@;$eZO9`4U*}AH~^t
z!|%aZZU(0N9sU5{8alp{+<Z8_)WQ?S*$5aXcX3mn!4Cf&r_x}sOC(lfZZVsH3Cqk2
zdI4P@%9x{68;YQQBeRIoL?eAa+*7sVB<?A5_;ILT(1iJ3#IxO9&6UrY>BzS4u<cYQ
zTMt@3nWrJ&%4_;!x?*Z*o^I{~Hc>LvB^9xXJ=y}-3-?xU0e>uTBs4ivF!nIML06Sf
z$pQ3xCJ)yeUbbDtWa%QhuS~hOavqZay@5Bxm9Lm`4neIlUCxo3OV4q?FyJEh6TFz`
zw#1vv!Q4I_scX4_p<ZUUVdu_g7qVN~o$Ov9&%41sxdOJuBB-ZpvK0H1+0Tq%axvHG
zp)^e&qEeAs6({-=^P%Tln&=JGzge_zq-od{Ob<AHyS(i^x!o_E|7gb?H|<w!_c5WT
ztSc-<ED`eq^K-1)UKXA8jCG6pyY0B$;%MkR==$jH>V4vy6i5zT2rrG6jk^+mAdTS<
z?A1JMYhaaAgtq9hmrDt$7nB*QTpGS~U6dy9rn>}}%80a9DuSBK2o-2W;SD&-g>j3V
z<Q9T;*bF&=cJ@9LfO~K{tzl=gzu~N!%1*?2JA`e?RzqTCHlA+~FmCGq=kXQbX|owl
zM>*t3@(r}h1Cj4?0=$~PW8aW1vNzly^eHeK?h%65fqBkK=TNP?qn~{W_Nm1>${Mn)
zw6w-K+!OA+xvdYaTh(p01NI*d$~n-r%bnz1;wuK<f{x)>WNWNXBBDEnYU?0P;wk&^
zeZasA1IeiZC7(`duJl)CLm#&act%0xmfT3bFV&a+6RX2vqy}678{_U-&eg*Sl#SiD
z1<K4CcvoJ=#JCs=T!TDpF5E^X+1y~q*_k(3ts|I{OeUrpO;A;=r0P&#;1O>iw-6>I
z>Gsj}PV|U(kFAa#!!vdcWd`Q?Yx`2bIDO<g?YyI%g0ka|&8{|7cUuQqHOmWdrLN#T
zPO=tIuc=RMFYU6{!nx9Aa+mfV^OX$TLhfHiWI?P9?$wUOQ?dfR0Zu$TpBwem1#zSl
z#AM^KoDaCgYUMBG1SWUAl)TD6c$=@Gd^!fk`3fjww*$%e&Mm@e<3S$ZEVeOQ7%EgZ
zDv4V-O>Z%Gm=8#hiZVXtBe<wD!Ll&n`TBz4wuUN5T|rjtC!!DWP2V04G3OG`;_p#8
zRl!>AA2x<=27dF`^fBHq?#HfwoVT=xn8_u;on5KsQXg4=$NVDI>b11C?uIhLU~}7K
zM`dlY^SI04>FUk&^$%nR`-Ux%U9nP7-t{EDkPYaaAav&A3khjhs~g~Xb^`jw5y~ay
zJLa)=_(`5Y|4>Z13fHd(QcG|R%8Gl13h3uL^Vz5i>Tyo&#mQiXB(WB7qRt?x^aNOp
z_rU^xj7h~|W*t1HsxjI0W}G))s9973({+hlf%jKjUmFetUBM`L7JU)95uP1t9~1-c
zeHXl|JzLx}Tyvd$wcd`d_Q|&QY6mq78i|HhJ-n=AmbOTlY_9%l(`=-JhG*w!*Ex3`
z??GSPz}4W;a3ZoYRw;2vR|Ppj3V8UJ*eIO-1n`A7!%fX9&x4D5Tf^^$9foD_b*K;h
z>~*D?VwI;rLo`8hiR;Du;t8R$@DMdaklV>M0h8+iPL~DPfy2Rq8G<^p16!SiRtoRc
ziuBXj&_FxES<OT5M&)~+%tf|`pZssSy$NT$YP>Dj>&X#Y=tyutpt4`^<@G9_((W|4
zBbgmhdt3V-HchRozCZ>JiHX}oR0N~Y)gMqt*~-|Xc1kON9&d%)<r(Vp`F8~ihHpm7
z#xBR}>aOamA%*8VP8(!W0(+oP^BsqmU<GK{Qt)Ie4c84P!H-#P7-kUReb`)ifoCM;
z<9Ls5D0zy*p=&T|_uF7=R^$zM)|be?O-F5431_Su%93lSl77Q;+L={M5#|bAjebbw
zr}~p!iPlh0v`qYoq^tC3rASNk><^)*9OdihZQ^MHws(rN0{EuO?Xtat?F)1v_pOV;
z-75nnUvI0d_P{K46KbBdj>DSU+0wnq^Ud25*lE$w1}G{&#-=1b>sk<7k-AnMYRXaE
zBz~9B4N6wKI0JidH9Y7_D-;lhr(m<qgb!UnDuPb$F4RZGFg<@K_J9lgMyPiq!hb>~
z{9ZwH3;CctJS;wg=HL|+e;x7X>ClKkr3F>Oa9#zAb0^cCwu0H{NAl9Hc#Y`x5D{48
zt>rH4OmmpkI@adq+@?-Bg>wGM?wnmct43D$tZmt*oMPsGEHUeS+j7Ti=NET1I1c_2
zY62Bv?`XdGP~AMFBb9>2ttGRDy$D~phTyn12Xn3wda?#M1s!ZB_7?LFD`z~;wku#|
zO(BXAC5ger4I+nl1^&i0q7XdOR#4sHj!*}a^bFo4>=H+z0=zBHQdS$58RsOmO5T!O
zIeBu@24gY!)U7q-G3b=vrCY)wC{7k}9~dK2cZVhF#Y@GP$5NxyLr?r?Ju{pq?PgW8
zHnO}k&Bz&&T`_A~=BdmVnX59pXXeWKoK2a}S@YQ^XzRhu+UaTHXG1B`oALX)N<;<R
zajWRYY&nkNqudn!6kig)roRdG;CI;q_*Q^91=j0jIt>h>FC;~l0Y76l`pM43Y+@>K
zzCdECuBHAzeIvr7&msOKt<-1q*GE_%)EE)&PhpreK}o=0yGWABxX$>@I5z18T%La*
zccZNFloElT?G64h_GC@=Jl&dXtM8N;3V0?X(mi}S*wH@^j(WKqlWcpemn_}PRZYFK
z`K-B_%QJW5ucle`vJd2RH*d1WZCf2ZowMDweFp>HkRzIzNG0-+9jImWQf3fT`U{{f
zdJ5IeSD}~Cm|qDOy#)Hl!Pp6HndW$|{HU2$5!a9-*g!u?pGH)}neEb_MKXK~eHCIV
z87GfX3#p$}eK02-jD_t1J@&8SU9pgSPPu0IX;@)s3diJLNmWyprD#bN4L*sNkP9Tf
z6ntR&zhg4to_--wJuw>7m64Iv=qdj4dE9G&0ObNpvbbfud4JC0?7dm~EOW+%j6#{G
zGh1X^OtY-5!Ock0YPlABw)j$leIr!-p6)KOg1S#t2AAy!d!0KCJ~@dF{s_3AmpF=h
zf}6Jx?%hwoK3`GEZ~&V`)YfO~PJva@hrC9J#9L%*7JviB0iq#!pDc(R&~|V+(-<%E
zW{+^s`S;>WX#kX&vy`j2H&%k>a3qOL8J~O^PC<*{Ow397MV<H#y7;b46LP6Op6IVz
z8!sO_8U8hVEile2yPn(E*pjS6to^N9EDLkSW}eT8X6(xlGhb$AW=C>9m`T-YyK8T#
zb#cx0KK7RjPma|@-}@XHDFu+r)`OYNz2>h9-@zOI6N;z`P!A1)7O4+wX0|cQ=`K_n
zxe;&aKD2<(u@3(ROXzpx+Am3bOH9^3B60zxnhZwJTq+mX%`e!id~5K#e~9}fw`@@g
z!gDi$Hzp??P41R_DcNP*YT%XrQdDd!j)Mo%Hm)AKnXIgvoT!TQf?m<OQ6W4gINbAI
z+iYtN?(S>LbBk&okUcf?!_STxk25Z2+{`p&f6VD`&aqCh71T~^q&wiL7#JN6#LDYu
zA=mLNRTpWKcHpWvaemE*2Y)HCAof;mt{~eT^O2EY>gt(xm;+YOH_*-09Yu29Q2c7v
z_0aP=8=QiUCn%yNS%Yc{hSvk?37j+bv(Gs_++UZ=Ntm&HGL(S!|C?b1a`ZN()K4v&
zoMHT|q$wt;8Pp<Ya2sT>%i(f2O{c_X#M;Duk4{F`R}+6RS4TLhJX3R9_gjWy1)j*9
zld&&zXJ*Gt%g;@jv$MA6WLrMl>T3fX9kqh4pm#)YYjmZqJaGp}v8Sl6%qVUGzYKfo
zwopiXBDRr!6)C<0JBq2shS*_n5u8HpBEIPMW4-ajd+?hkCdMY#B&O*G=?)~`C2HxK
zg2Pt}NtET8G`cDfngBbH|4Y0k-&Ja&FFXT0UrB0|bTp|#GDauKQ<Fy|DaJo!UK|IE
z<~je8-_6aS-@wOlR<vxaN$gIfc4)UB=?jhq>TB?<|FxJ***Uwi!q`#UGcRYB&McLA
zEbC9xNy}c_e)|zeX{gC=dQSw?V(~<EVgL}M_v9UF65CvO42J?Ql%Nwu6HvDhbXH0H
z5p*hEhGQmE`-#(Fw5034>QePLbPaWT<6~lD;mH?^&p-m!dHo5ZG&zcNllQ3_On&UA
zZ^BXWu<TK$8Z*G1`IfXKxqC{Bw7=61q&kvq#%XY)dSs|*s4sUFzM!gnhbiGLU4eK!
zS}fWsIyIaWjCihVacf_*&hi6V<};@LS)DVUe((KbdB)w$%~{p6isVcO<6(p?w>I24
z(Y49*$iF%AACf;Vll!QiP%X4&s|vp%Yh(ft{7k3~D+A~IF3jcO9>~^br$SY=l=_{x
zsZ$dRbUk(5QG=h1=Z*Vg6XTcT8xnaFfkZvsR{b5~70J+EngMb)i%%B4(p%*p<E*43
zNxhOx$(>W(X<yQIrfpBXlH53{t1)OCWY{c|VtGO1jxz&D8SYyDMpKabyF0YTx80rQ
z@LCKe&15q_F|Ey>mqGqK`hDDw{26TK){N(wPqQ~#B&4w4#F>89)zQ~F+$%N_75qAC
z641+O9EXX%Te=}%MF+M4y#ERE1F^6$28zo(e1e_L)TIdWyv~u>juT;8!W0k3JI9M4
zoq0#}Rct|g1vF?cFuSfo3h>Vwi9DpW{3MZ(2Pw6U6Otw;FG+SLzfP%`b~0Dt+zoTZ
zQ_CThf-oLI$G!xZOkwdN`+ppr19)9)8iluy&xvdE*0yciwsC9Qw%gQJn)24>t&%p4
zot)rs`=52^$<yh~RM}_${Jyo`HGmyR4r`-PW4)^0kTZSJ?(R7qGcTo;N?V*hHuX<R
zbkga>1qt6`7sOwTUzpfCX<^EzjQGrt+1s+;=WfVzyZyd3YIh{3#jsi27Gb*Kn`xoN
zX&YwGwJ(51G}m6+b^u(_%ivA)#i_NT;TiXVVd>|j1zAjuM3<$QmaHbI57im!Fm;l4
zO>^oes1)es4q>N?;-&~YjeU`7GZuM9WdjBVjt{yT@*^}V>|t1Ca1NV>dPBm4D+Ote
z4)*!rMyi%Nrh5DU>b@4PhHIJXaCwj~DZi7G$+(}^AZ=FKft2k@$qD7+kH@9QHI2U;
z|0e!p;>DCL>CZB6WS7qQmgCI>0aBv0j?``@gj>NU33*7oj<Q~`uXhv-C>ihoxlaA<
zooq#|%isqcjupM3F@k@Mb)hs>jv7L;u_FBg)lh`&mh4JhHANYsj8=Z>Yp4#)N6=k%
zvQPNp#-)}K_Nk6i0S5yT0~-bx2>lvnD0sAhH*9KHuL6_9&V=0lFS8<`JD3jbtRsyh
zSu1s)944CPm-qTZJ!^8NW{PQ*)ACZs<DAzgzIt4>KhmFmvDVnIxS8>-ldh!PO>dr=
zlvOetDS)m${uISTV(1R+R_>;7(fGo$&34a`9MB{1Csg@iSc5J&HXxZ|lx;I~JL^rw
z4Y}MoXgK@R{i)hyA2`yNQ8i2wSBcZ5>Pk(;rwmlqsr$5iy#W1{QMj+dNaG%}VlC(J
z1xyMo7}PBIcxYaM*#&PGxE~e(-e38U<H$n&64)@{4fwldO$+%e^b2AmtMxLfNp!o{
z<u1&!rPWLwmQpY^DRD^rqu4UBOa3&BG5^6*6MsIznv#(AB;#%7n(P)ihx4a-<K=<m
zBt3}@=Gz+LjWsQiwu1rd0z<H#eh3;H^dzuiV5<PPy#ji=du+=r63AQA_)6?d`T#YX
znnOx!>2j2`Uuq}aM(=ckR6trKwNT!w&Gm&OpW4S<VZ(&B#u}D>wn%$}fMtOrgA0eA
z480KAChSC5u>xnpLc{uprUjJ>oD^{1!P^^|UJGm3OUxmvsy<Np;Zs~qa~5RwPM?tW
zHKk?Jg!qfG#s5@`Y4m$i%)c>-e`d$Nice2`l2SMAe#Yi3L(Z%GA6|>{0%Pp~y`8&m
zsAv9U9qiZ_m>c8`iVUVgZiWm6!}D}dOyI7-LSRMKwf$>80;dx%?Bv?9i|Kb{9<n=T
z$=Ae}Vh?GFyhMH@4aGBkk*_MxwR0pC>7P2U8^)N9nj`Vn&pPG=whfL5Srz&|G&uBF
z@S7kx=uxmaq*hS9fU35A<}Zd)*yDo0^Q)vbluo)o<WSkgv#gn8QuijdiC-TVA6qxJ
z&!4p4@xM36?1@{Hz$XQ#xKp~NrKDeRM!T;0#*05?UHeG|vyXVA*=B2HALh6hSTE#m
zNYjuqAyq^8khtKikn*9QgQo?QvG=hi!TVm@)WEm`Ijyyk##2@QqOMcEK!X-7J&@Zd
z0~D`x0r?6gwa<iQ9-z+riYp^LH<&EFZG%x^-Qt)Qs00oRIuv*$Xcf|Z+=0%3MUGCk
z<zUJu8cPUexkYr2`oiB8E^}-C^W3^w4bz4vk4oH`5EnZ(woPn8Z2j0KvBl%~gcgZ|
z6Avd}NiCMy&iO5`hNq`*srXG^rmv*4IoaSh_XpX^91s!sJotV{T1a5%kkFf<mBL)1
zZ9--RJ;VL=f}OKvnRVlAqo0pwQ;{~^i|o<HsJc>6U8pQn3LxjFtCFZJ(VpsMz~gw#
z2;35QYkM2b=5R}05O-YmE{-pb)li~V3Al(FmC3Q(@z!?AGQ)IMK;jt`HpA8Ta=fpV
z`(n=7?AY{wQ~8wmr18no2|eTW*w=Bl;=<ybv4(_!NgGqHrv1qHmbKIQB6q86x3`tl
zRqIU$vXyy<;f`sd)nl6-P$cMS@SKq6A$7vS3h)JvhPDrW9yA5%xOIbe1}wKPu{JjU
z21jx@AIQf;FXt!qNIPg<hNuBhThM9+EmSv<<-|)?gOG5C@o-OsT#$GirU~W;mUq^x
zwj?WbMAj|XgJ#?J+T0eS=_p62BGf2)Fm+oC7xO#^^2MA#*`KlunfKDCr^Y9@P5zWL
zDe2#Ymht1`k0fqQxdo4MfecT^DR9pp=B@M05jA<Ix<Q{s58y(fK1?&;M#^7I02inQ
zF2Y>-C&U(7DD-3S*Pw~Gi`5UT1;q$uy@Ot_6OQs(!a%MrbCEJp3KXj|sAy7Nuc7VM
zV)d&eg|vk(Mg<pP8}|bgo_)9vM;WsIOHwm0!wNqRF6Xc2{%{A*Fh;S>pzN0DA@oYU
zD-t?RdD^-=xZ30;=3K~b0UhJn^eO0|M5YF$R89#=4NMQs7@WB?^KxcN)=#HD@0z=&
zF9-MUKXM_hE0xJ~;J*l>VWx?)bh4Folt4mHdt~(73rGnp9NZZsR}&~wW=9p|HSM=#
z!e`(&*1}t<gF4(PR$*?!72rT6HI3>?Ri+N$8NSg)pf<O$Ly<n-j(ftTBBSsc`hzrX
zuGhg2D{r*J6;_I4nK+za6PPws8Euq2Lb~R!<lF6C;5qMpk~b^wOU~Dvan6500BM~W
zlyx<Wb#8E;a8`F-%3g$;>xX>e?(O^6KTZ52-jMboAM*wh`95=LI7#&|7BP)8e>blI
z!!h1A&|wPb?Pz5$0taJH)B~E@o7i)$JIoQt$!cs|V2lApalP<`Zw`KWZ8#>zvBywV
zJi&}&2Z6`AiBXxiI00N_>u}5Y8mN2_ZWdn$O!%X4UB73yGViGEWCRq~{pj-g93@kF
zg70XOKU93_d+i<Vak^HxTIT;izTV2*xp^h>s^t6fcH}M2dj~(jjr?R+Ur#;ncwbNd
z8`R`<>2F0<r|RvfS2P6@=w0qAoWOq@u7iv56>f+#sMoNlNBPaeEekDK7L)ajxrDhP
zPSK;#rF>(Ui(b@F;UD;#o^TzxBz7w6XD%=%wmQ3*orJ1>QPv60=pyz4cSz_V4CZ>_
zCO?E9&X0r3;W>DdHR-uj6nPCc>^nVB`zCi*8mX+(Lt5{*iTC}Z{3Z}u9(zW4GTq6@
zB53T127R_GvLP3`_qwx?-s<#D^nLPG@She%DOuj56jLu~4Cz6QrE4=K*<I}4;26pL
zOX0ksDk^8~@YT&Y5dPY&sPxP=1{?Q-vk)(A7pe(yd@dXbJ9rC!7rp1&oRj^<uHo*$
zQQL~E4A1a0PQ?jx75|mL%G>bs9)2w<!_&B3+y!)_8nac|Ps}!YCAE-D)F<j@D7ysx
zi1GoH<)cak<ubG@g`@zfFWeinzl8s&Z=*NYGuYeA*TMJ0+sfO}ThDvK+tJt7UsIeQ
zjuwxJ!=<@$6(w2Ost(o4>J-^Zs^Rw4hrUMJnH$U&b{KbwJAu!90!Dj%_yQyN9Hh_@
z{sAi1r*XOu79_qTh^Xs@jkuLo0G(i=@Gok><=}8%VQ67EijG<vxV;M*ve2iv%$EZH
z+{`^<Tk>_dqwH0>40DR<%LFs+=rz<navK$@5WTtH0QU*AmJ6-G9(jvgAH;=+I8XS+
zQ(_D8lfRCCf^WPp&DX_0!Eg5ehTe2Llz|aQ$gzvpFh*r?vm&J~@*8=O;=rkQp;kqI
ztXC$BNHiHhS)iuh&KTKF>}Kfcv%#Qx0(Qb<-VCa1b#wsdpmJRpU5Se5^=?Gf_m|<K
zVSr(XfdUJplwk(=j1xf0|AJ>pMVEgGbbHabXRGj3Rp+*`{lR8x!<@&Bw>Yv>UQm^x
z@9IPyBv!IZpQ%?uz4VRxUCmIlltRiad5^41gQOzJ!rdk2_+P+l<nW*IE%Y7mt@B;=
zz4m?gxqTA6ME(6o{k-@{JRlX6hsvvEM!BO5QFGPfxSf<Hy9h%qrC53n{fAz_lx9z}
z)uC+o01d-HjI@8@wmOL3LyYhPY?ff;x<-OEa8W1#z4k?n$=*V+@R)CbDt&cf1HT2;
z$|$}wJSd~M+WaS+f=(cpcP+OHZmW2vFw`T18A43~4Rr<b0bYXO`VT3M8vY4wt2RL^
zt@TtdDP@#PGLKcSmsCPpBMPF&@Ao(LM?l@P%D2n698B+YUlspk|0xiYjbeB47buOv
z@(p>6@>Hp;?m!~%Kk!3*(R(91`#M#I-Ut$FM<$Xf%dTT(wlBO(*SVh@hrQF!6+%sV
zBxcESxHQk<=XiKFxASfIbx3t6gAq3t4xkBmSNHkqyv|kU!|`mZFq_VCYq=<PD;vUn
zgsU@?SqE3>S$YDUO*N-^x*oL&ciM7#tfpvtwGD78EK<%YbCuV)b1aqGL(jfOT#Ykf
zk~mS!@IUf1qE!qLCy8gpOeiDsknen4sxEhv*UPc;IOVre7Bp53EY0I!jGseN@gwAd
z7pLY>X;fR(q6poCIfgNl4Il1B)Ow3>6}Y0vl+Q;UC=)frzxZZ+J-!>f=m+=#{3L!l
zo@p@u0kg3jvIJJ~^YGSoa&`GbaFv9zJFuR!&<z{e*YLGHqko`Jb_go3X_QE+le_v@
zy_LRQGimG8I%*sBlk!68fst4QTFc^cmh?zkC{4r}*CGW;#ibfjDBj{LDFQ0~f>5bl
zmv74@l)n{GnW9Fj9<?(RVx9E+dI{2wOdy$L9M+CPP}2>;J3EdsQjdAhRD|y~hIs)O
z-fXzDma>o79;mg2vjf>n;G%}`8QgC+f-T9l<0f(=z!dm^chZ}C!ft{SJC0omwZTdJ
z*|q3UXQ3iA7-M`2YRD_84am&?LcS7;48RjD&|82zTU48=HPGVKKy`)^uPjx4N;74j
zVpLBd?YTbGg|n6M%0-2T4yU@hN^PsUl$GF6_0$5i6R2L)(Zlq`ICp)517#Sw2X9y?
zRDs*67i2H!I(zAwP)DZ0ZMP5p%2~7-p2JIc(ie0urY7@)E)BodBl;m+ml@0^dMdmt
zo0vrU3!TX9WSTK|>66R~wj0w4pG-It#D1iA;42!Rl8Np_pQ3Bi<50<4Oy!brtWvSi
z!EQs+x>xI^U(=^TrA6r%wMZ>rZHxT&xmrW5wc0>?uG4y$I!c|W7bI_?wHd1QAd|>L
zeYN&N^XZq!3-U$}C11!jlB*YkcWNh6d6ttRR1Eb1ciknZRX3*+^|oX?^_y;obfo}%
znhDfxoZdM45A~5MK*fUm%2Ko7!(KwS!R_0II^KNh3^_#QLwDAnX-ik5XVZ_Um(&Al
z5xo+pa+ZFKuSxi`y{M*G`&v-F@oOKccK^*N{QX|N897X)P+@wC_7JP_K=KMsr(QbI
z`jNljJ54}BeY_q?cIq>=DE$CM(;50EtOh+nqUu3!A~{;N_Eq0OrO|8X>m*EXjM+q!
zBx);jfqJ1!+FI%x5lJ9*gUmv@dwIGd7@1j=ooPc~({8ErsBLr%J(4*`MQI$lLF!TE
z=n3eyr0JivvP>st9~Fa+-6Co+J(roy^dReXFZqEtx{R1e5xNgMg6^o5(0$|~+msQ(
z%W>*4ba8qbDF=1+1ANXk$ZXw2H)M`e2lNVhXR;nuzbMR#t<)Y;R$oU<^eJizRZ@5B
zPU;LQGYNWMvWNI}olK>TIBg9ih4lvLJu?hVpVwBYPLS!llKNB@U5822mM9fTZ7AIu
zaM?^XZNI!pivZbf3Tdal)COSnxK1t8>gxwE(*C=Lk0Yf}p&Q3C+(d1e?4!mC8O(E4
z)XmHdc!eUg*(8^4%$1-9VQjUc8!>C>uG9r62AXRQ5=9xfp43VGB-IUR8;5iY)1Jv9
z7qx7v5;Wl@q2i2yclKYZgkn-2Q4O)HS0Xj=$*^=?{M{@)3y$k*+HrZWo&on~f3iR<
zrLSU3GF#=X+IIMrJtSBkt-ev*+Bfb9pQims>CIw%!cS_4xJ)*(7r6j3RvQMFOg%c6
zIZ9}?C^ebA&jw?BUZFL7mqY2@>?OUndWWrN*hrO?Hfxc5OTG%Jqt4cX7!|9<B(hNc
zn^a+rk>k{KdJ9!T|E`5m%jj361eHc!k=K|9)kus!m~Kw>(1J-xW;1(=s-zdxiF%Uy
zmll|@$VBR*&C^fPK}-=nT{}zV(C^rv^dtF$d>rS7W@M214Py(0D(y5C%!H6XP=Ku^
zU+5{!aOSbLT-gBr;7?MPOhYd-gR-NhbA@gTpYeS#<yXV+_mXbJR)Dk71aC`s(gCys
zm9C+qHcjSJQ<(m|OubW%sb`?Zd_oG+tC{a)yj)A$!fap}dbHM7>7u=%8Eyx?0Q!LI
zWFxbNny8l||KQHDRPRky!RJ(wG-U_#fAq%cLNWlo%?!Br*Q=$pFWfa#3$_n3I&$eV
zOq3>4Q`n1CE0ySbnaAX_exB5(a%qutQ99}?I1@hW&LoN6t=|^+lM;rdd<$aI-ow|{
zSFg>iWe!sb)G2x_*`d5A_qhbNCwT<+bwlzAUEE0Os5Vk}VFfv=chK|ksjKQ+`0A43
zXdOwOk_-4dx}%HyRKLkKW#hGK%2=&5?WFGNrQp|yK!toZRh2dp2V5nq^||_9dWaCg
z9gxcUQ}m~X(|kScqr8Xu#2ljElau-u`XhR$o%QR=Y_gd<W~eN5CX}40Rz;=0Hcl}e
z*hl(q?G@FNqxfOW2I?EUh9ls`!hwZRwOPs<RVC9oifc_-(Nip-^;c}#GOU74$$U8B
zN2;wghi1@jYP&RaMC8@lG%BB5*1pRv<Vxx_y%2RCt7kT;3kAJZ`%d{8CtaM1(CuUc
z&eX4{G1M*UJNyV2@I<$mx@;abMDMD<WZrR)nLwr_eB1Y^-k86a*g@PDwkSy6gXtQe
zZg*m5Vc&DG{lR|y$#UQlaL^XN!fIBPt$}2`(PTf)Nb9JA`dXDG`!K$XYX&t;%hmkq
zFZsC~Ew@&_C{N{fP?=X&x+{LE2QnX)%Y~IZxGqKIExszN{ctX=0H<xV{zflJ;;^Pw
zr($s*n1b%#9#G8h;xitK-O7yf$^q5_eY20gLwCR~c9LlY)<iz-!dkhHnTa#vRA`XK
zF{9Zv@MDK@<+;bKo7uxY=6=B`QCE1z4PbAwFZd*`9ND6-V@gBgRgUehHj(XeN3A7X
z>{V#5wpkf2w(vdj7gtPboHWm0-@jdq5QmC|{l$E5y#0Ke{8ss=dO@uucl4W}iLIb^
zBR%kmT_;DhHCiEZn*Pq3pc=w?7~cOq=&4<Y3;H%Yo*RXJ*kHpVJ{;)|4BeFJ#ogsE
zb0(%foHrNst>hS#-w#O|bVVan8jiiknxa-!Tc~!Bq9XM~?V(yq^{Q)io?1-_)EaUJ
z4A?OgPtT=4(J{<fbV*M!7je&i$F^aMvv1f=U{mabQgjL^1EHWY*qFz34SG6tj4ULh
zNly~4+w>T1xwb;9i<8+G_+Nt6Yf1^ck0)wFb(``)v8xl+@>;kyQai66Rf}oowTU`S
z-oZ2SQk#ukehL1jC1eD4paNtzDL`GN4pT)z?C3{z!8v6(x}V?Zb4(61lWoWy;e6~0
zb|v=@&X3pFJ6sd^Oz*%&nvL5~e{MfN8oa|X{8CV+H_+?wXUo&c)Kp}q1nHXE8ude`
z+*=NjUD6#XT;inf{&?RW-@m>Y{?=lS7$;5>zu+cQQLHG<z=@t$w`0!K*B+~jHC5kC
zxv2Vdb>=kAxNX@yW*d8*JI^;a41{tzM(7T{P`>a3PDGRW0;-nBpz*5$N@h!A9q8BB
z3X}NBp!4shyOBt87<Z8vdcM9{sV$}YA4~U@J8D5?Jn}<pdUtvM@<qXmc+7X*HywF(
z1^o~Gi~ME%8~oAYTls+c8GV>%YAaRHlCWbH!}pSg&dz3rWeajspoc18_#kwIo+l1>
zT^Sslf&4q9S!mpE&V-%!H9n1D)D>zN9Zu&{{h{k_u2s-BYZdhwda7pC#=~cqt%RtH
z)yL``^_nWH9ksT2t9fdDtQ*s?KEKD=KbcG=?TLWB@+VRzt}<_!<=8WpGw~QTZ*YR|
zgxjPKbL0?ilw+W|{hK|^u4fzJ1Ua03g3+0S_ga$PhXk=;@;6)zzqBCy`}OoAS~IPn
z_Dh|nhQoDPOY4G>5`c596~DGh&(Y_SorFWq91m7T6M6wP4;{Q?sB8^lUNTLYWza^h
zqT;Ad7&Arbv(!YK{rXYAah7NfUgZa!A)wEb`}q4tXkFnKu<HYHK8@6i=@FU^=JrD*
zC?%1?I4SPL8Bd@WpgxkzjAiX$PK@DiLQh`;nxc+iqV_aBGO~th+%bAAv)LGLH(SHl
z+R$)R(PvRr*_-@M_K@1ZpW!_zD$-@SxqM0FkqkS^`^Rhb?r~RhN4VR2cOZ%OvDDok
z>AB`v>OZP9#csQZx~f;v25IX_8Z)04gjA5pZsV5j!n*T9_yeWwN+^N-P`A$$N^=QJ
zIWCi*0sZ<IehZsU*~uwl1U+Ok&b8rG2{K+AsJ>8pYR9w>_!JxJTeR+KC*>>dbiLJi
zT0xx8yK1x4SISnUoZ4SorDy0*^p)`Kx73^H({&Tb1vjzoAEdj}->A!!pW1+X>=?Ec
z*Nj`ser4|Cvsu8_;J$K6TwAyWcC#}<Xvk&^Y(o$#a+&>1CjFZVr9KmyDn%8>&!vb(
zFNVI`OZbuMX|%RN<=_i_tL#uF;%4(pnW_F#^Wm;pgg)OkwI7nA29YD=I=P4+xo}#~
z$7#1RyC3AAWU!tp;f}9z3H&zjTAjj5p&aTri-km?K6Gw1pmJY<8To;4h*hF8xHv)F
zOJtb~`bupcDaUBkIBlD>(%;2DTO20WR_;lq`~lwgZnG!XbIRAw|J0Y|{p9WJ`{nEA
zPxMEMKct$<XSFGk^1kX%^#vr9p2NQ3Z6Inr$G?0>I1Z-3bMtbrrCV5LfZ&vCdTFX;
zqVU6L>R@bRunI-F24Hr$>B88BjC2D^AWpRnJh8#@BUw;7Dd(V$-0i1)BYaKZ%^ZgN
z`9P_pG)ZhAP8Qos(NY^_30Ba4+C=Svc0m*L8aUApW9~v_6$*Y1hf3l|jL|&s722aB
za-J{A|3p=90{;+f(<Y!7Yygv^CR2wggtxK_#FQ%Fi9gXBL18;q>#jv;2elwnKaMLz
zz6np{Dz&9n3Tr`@G6h|UE2>-jggaPA(iU^?Jn2K#!hXJu=>l%YU=WygbC0+V;C76M
zi{}i~*}plP5Mr!iDq^U@Rl)dJ0}9<i5Y^VPQ|X$NPA*X<dNgX8x;hmzy@}de*(O(#
zA4~J48<Iy#mz<*8f7{<nJR#MUC(DK96zPHV0$r<$szob-`*B5Wu14!OkR=gLev@w0
zL)_K2<EiH2KVQ*ZK(@Gmv3M3M(ncnk8G*4f8kNd^Yz1WatORj%4#rL!)R^ud1?Lw3
z1xk!rsA_hAoAWp-OeRp$${OY)Kc=+t3tyGlu4k$J*-K_5wsNbaaNiKIlQKx_g9>9U
z?WSk0Yo)sp*67*39o}~C`>rAGk)DU{3*g1pMB2g*?<TRBobUhP+2$_ljg*4)bZP|V
zW+ap$GpSbW3BDFql)1*Srbv@+dIQaWIy7WO%oi;StvQzarhbNSsQDX$J~>0k0&g%D
zJg3h(t1m|7Vkewmh1FilS~*Kh_CNR67I%mq<Wp=#rTe#kod2F*1Fzte5}@``&#L!P
z!O79ulPqcsPBLSVZZwF8_8L^$@}}Kp8Vt-&=*Wx)sXg49=ST_oVvhoAb&`3WSuyXn
z)U#|d{^Z+pOW8h16go)kx)bLyMe>Q)eMXO({~~Woo;UAsK9gTMx2<zwHW+};!MT6(
z2ITL{m-1h_9wX^A$+uUu%4e0`INMM-Nv@(lGnFuZ7a0CE{tdqH4!B!X<5^QL5N#L0
zSsZ2jYDj`^^A7)-k40_l19yp?##F^UuO@X3H@O<9Jv_$x{)DU}IV1zOo9oO~uyYEa
z`|*m^xVfm+4ug6=pQY#r^bCHn;R2TlV#81}95-G!38y;fot1d$A892r&?<|Y{6Rj>
zOMClyFL`!?9^2718_d3P-r>HLaJfDAF7%Za^Q7}isMZ?ml1|=$#N3kI4D#3!;Wm_w
z{Y^_jWZwYw%xKL1PM`~iBQ^daNI+%ajgG}$Sd(4MRG<fwquN?kQNopRN@pcT4v@=9
z<-|~Nn7B@SAP$oD$$OOqr3ExTf-aCFl%3`HNdB2n7TnmX;JX(CZF(c<#doaB1DpW~
z_Fk50rp3tZ9b_yFUV0ZpbC!?^`V}=(UJcFe6A*!h!^<-&uZ#0=R@tm-S#7cdbCPnd
zI*%eJ<WJTD=eu0N-PT(b_1b8EC!DH#sAb4D`U_i1_+@yAG?uESccv5OT1Z{J=%51P
z>?YeLi_uaEX|C0+y{wZhtB?o(nQy?q;F@!v*%#R9Q;?zz?;+7aznO(k=@Rn~PSdmL
z5!4RUp~7iDSnO+w0e9ym%y)ev)|`vVN6k&%VkTeG_DIplU(Aw*fyNgu=KDwb?S2dR
zbSph?K_R1j-~7X+exTqM^$quB`m4(=)%E&j?CQU@zfkXJf%?d6c0czW_2cu{vA^>U
z{tTyZEXdb8Q6o;{2vl^XnKMwQ-op2F7dQT;BpEl>QIv%uWH8dlwqtI$V)`@7m;kmE
zR|`zrmBty++H^7>F>f&6G<7i&RBI!Ro#D;&2sunWbS)))J~>aFrNXtLa=QP7ufMk;
zl6I@-Ps#J;J;-<E)y|#mT#=oWbtSu4ZYd;}9CF`woxr?E@m2t7tAZ+PlSpr*$y8-4
zf=HUr?=jRheKY4Fogf`f+=eE*`IdPl+^MI`PNNMqd^?nZ@u&j#!2KYCapA0@qnlEe
z+D*;H3b=#0f~UKJs>*Bj8UJ5qd1+&NLv6kVJrf=4;czv#Gc@FW(pRbO`c>TlhDjOf
zoK{o`mkNmseHB2Q8Ja)CmF7-$FLf!oTb&c3c^>DK^TOOY?g8%euFb9y?mgZc{vWut
zjMiU~7Swv^N6K>bLAzOCpv<NI&)OD263sPEHmw1rbvE2wA*QE>5yDMWwU;1Exf7_3
z<=9o&lf0-~H$?T!%$#Gop`&ySZ_fuUt5;Znlh#dm{t^r=`3BrjzJjTV>6)P}_k)SS
z=`R?yiBw{N8es}ti50}dz6)?9zR4?+*C_W<ZpXZ3xna%`Am2x1rDtd51m!#PgI$YV
z$J}MT*L}#0fDRomlJ+r+xng`<p(Y%cWlbY3gOOn#36=FiOQP9nZUSHMXZS-O89#yz
z>cW_EBah=W^BP$u9`qlNF<n4Z97dmKdT@iW$Bn=ppaQh^AC0rY!Y*yCiVpo!;VE}j
zhy&%b2~y7su!pF2sB(Tlzu}m26?4C(Z-b|?o6TRCb0@ob_L1zB+55AbWrt<8$f%ND
zHls(@NT-tXciyx7e_a#ZL%bROv2r;zUF$-%VB7O4!Vu#m(3NXr&p2*7>fi%rI{G0A
zX{|NY;sG-|#G-*~`Wfzq2YfbnjeWz!gEe*mRr|6`2C9%np#dJmOh6XXHvYb_$1u#;
z-gL|yZ0%@UZNmY_@*X(~#Y}ZAn=B#biH2r;JH`u&VjOr+Gqs0EY;WM3=V{}5k-Nkh
z0Ttrx%;TB+Gk;{1OYfZ8AmwSwuC(CH>e+joB<FE%Lf$4<5wA@QlZ&Z)^uu%_SHN(?
zxXN_W#G9*HbY#DF3z{6%G_a*(E)?<GZ65G*CL)LXmuaB!Z|Gr%^S9B}9m6bSenQJu
zf&B~d^>?Wz^e!fpI|qvD0NewkjL9aK`K9HNbsHRaRcv$2Ka6ut+u`FcZyIYDB6Q$B
zf)wW<%k^Ysu=K@0&v)4E%d3~$+xa$=%czs_BI9#<tF&^dJyK>NL(-boFk?aHQV?7{
zIqmaUm(TOme?a<6?LwY2D(4fn8y{kP+AO#1KLQQ}ZVr4ESTAtBW2gNe`&h>%kU=Em
z|IIT8nH+{(zAJYF?yb@22ISB=)J5tClwiF{QTj6DLG|GYhlD{W<Hne}SuD^}Z?fHV
ze04mtO|`^=sqRBY`xQ%Fa~<OxjGlaI1$mE}(+p*-_`yeem$=e%t2hT_ZN>M#KYeg|
zueA25Gg1PQ!;)*J3`*;r(Gl@-AvwKs3+C7IO!p;<my}KVQfeJjiC<vcV*X|(W*0_|
zV*eAs1<elnJ8%m0!98uuY~PR%LR;-%K2$M05)$|uTz9rRm|vYiX6ORiVoRnq9g2JT
zZ{|H0D||Hgpp;yRgoGQGjv!{Va9oGOVZ5aV@)FL$T~yWF5K7}@ZZ6XpzLGuqG=-5D
ziFSV<&)R&FTP~+_R^yD1={+-cr+>ruzaynwO1V@eZEJc9qz6Q0pGJC()fMF_;4dIO
zk#p6;q$o3!A8W`qP$mOtOTkckc5rM72mr<EnLPyj*q*i?)?JoXW(97LE{1kO6gt!o
z*-6Y{+#A0`4L+G3Lub<)(K(A{>VlfO3U`PV#!lv8pm+MM?`>7>g&ZRS4h5{T_qKjT
zj@JOoH1l24PK+W0R}9%glHOJuA>Z;(^nLbRaRug`$r<hZk@+yKWNJw2<J6c`l6olh
zuhiculT(MJZBKV*4uvClQ{EESEAI%=DNRvYYZ_?}HkV+WX-)ypp*Z~b!|cx-XrV&q
zv(>T5-V0vIV{q90ZCYgTA?Ln|@E6~RTh3NszM%FP4Q0a;q@qrvN1?tO!nVZ;{4#$I
ztl6oikLHTj`*7^#fQRIA#0Suhl1Q7(!0n_LvW142M;c|WA(Kii)BC8^6ql6YU*}nc
z<gM1Z#%yEeu8jHV{nH$2?b3RuElw?xYD`_2+BGdQ{S*|Cu{jU&ysj)yyziXYTV}PV
zqyh5Y7YMhEuT0m?9V}&Sw~;dwV=H98V4r1Av+V#sB*fCpR0)h`k1z^p=x?#|uVp6C
zF6uY6f{G^zxYs$*hg!}oW<_+^ZXp4pw6U}4lX(p&H>E)#x#K7jpg6V%%ykT~<y%Ht
zpId7p$J}UIZMeY+OgXw9X|2tXzl#QcmWOut%=hGmJ4<Fw%jlf`HZ38wTUyVwl4*}q
z&!+ZHYmmMz!<o4kqv?KLv@6{+(7zK7&v)v5oua3+5&V8bH&Y+86&&~<mUY%dkZU#T
zOZ<Dqth)J~Dc*S6fFupx#Lwf-qAR$SIRh6_DEQE6WEC-@zhlN;@STy7%`pydBFNaw
zJlgUb-okNqA>b4A-E6?mfJTmyRueKoAHY}OGUdYyI+Opw901|wj#g5QmkxnGywg+H
zy&!LL&X?@KtnV3Xpc49%-akDw-IhKhok_2paWXS7`&;&`oDTWp+&rjFXW$xpsJui)
zyFO?xFTwIJjjWjsrkco)`Dl(Zzcw@QO4T%{f@WXY&;k6u(%d<=0Q(tK%JTFDY9nO^
zPoWH$5$&kWR0g_JKbckR4sI$xQdnl#VA^BeX8vv&W1H;QXKx8F!CTO-p4q~|A!!9Z
z<a5h%q&(C%ZW6kI7x0MMMV_iH<y+Ev@FDU%>2Qkqat1mbaLg~r`X@6pb8zP0ncp&o
zWERTOv$kjVbr#O;nE%PO0VyX>{X38-?odnU1JT2o0j+$0-p&7lLg}^PuAw6QdKP43
z974*6h&%3ake0GpiFpT#>S!o~*3tv%+vu#;!LHC0v-|;l1AF^8b~b7xE-1o|fN|3Y
z>s=vBy5){N-?ks`U^ZCWA+~7iIBTN$CvL2@EmKVi$XTAm4`BOJjj={w&<vmt#`@p;
z-g%pNO1a17|C4(-r%+B2Bs-mOu5=!Bj&z=J-pg5&+ad1&)Z6)RgfI7&@aKrvq}Onq
zHqrLziKH6+5jy!==+!UeDj`WA7@hA@{44GjdiifatsaVM;$>zYLxb%+A7{Cipe}T!
zCF%%$l`aQ;Nf#ypb?Db%sBYi`49Q43sbL(4l*HQbmDL2B$6~E#y^J$gHH@twxMLby
z9Hx`-B~&*=^C8F&Jk5@$FQNuE0eaB+@>6M%_>b?LH`(j-EJLzWW7q!tg?U@^j)KT^
zJTEfuXnqb7T8_K+x+6VS?_KW^pH*xml|t|Qn-Y)Au)}&cQV6xbopczwO!-WGWF#+Q
z&wxN4##Us9u*=yp$gzz?Ej^#kLYFz6eocR+>oTM1-gFJd3Dvd@UCV0RRn!l7Xc|QD
z2ui~d+~4rlG#=?ey^QV6Z7ffWvBoXPFo-p^FqSdLm>NMlc?15_9sDgQR-)O?%rtri
z)s##CoA9TSg{N8#>d#ewH2B6VJoUg@+VAS(>g)RB8tMA#8tM)O(|fo3x`*>}-Vffk
zP^di+ucEF~2o)!@R!Gm**FuT%oZ3W3A@_L#a}+hjY!Jq;fH8ZSc?uTqUS=BJ&nTuW
z^Bhku(*`DrPKKvr2_4TAXOoa@rO-QJ=`7Ee1k3p^WMbFis~Wx=)*!Wcz45v!!PE|`
z?^lrg<KW!eYzj8oOg_A$=HRAohdRQ}|6y8z5IT@HlP{_p$@95#FX@(8UTg!6S2J&0
zPfcWg)N*fkHE`8*Ww?@DP2IQMX}A?N_ZIW*^v(AlLAu9AxtP)f^|iy=PTap9k?}}s
z8IRAOW~@wIrUx^CnG20iQ}j4GGHbE&_CinpKkEBnj5>`3qGmUWUQZ>EYs@pSY8%jN
zn7-UO^f7}4K@jnDgOC|r(oolU70E-zkdx5YycjFyAdAzOVQOmo%aVX3+i%8V#u(J)
z_VNR`2V5>Ul(|3@@NR!=N0qm-ihRN4Nc`RF=Y7S!#k{jTMcfVC$K8e8HQh_x-92YL
z6}&$0EF_TM_LmoDiru6g@*?yT{-~MSdHn)z-;c=^{Afqrz}E+A5`7Z8`5h{eDuw5;
zP!e&1Y^9L1q%svk6{Lg7VErKV5%tV=B$|$+Z|VKv<7IIF_={`D_d&u(L$1Cd5rmP~
zLI;y-9%fn&D#u%MDN~erkA045rtu)WZ$(Yb!6iCrY$Yt>%skxc%sYA!eCk!9;Ha;8
zl!}U9ZZBv0Kl$g2z5H%(g15ErxVJy}IQKngJUhJMK8r8R*Bsd-zx<oUNzw_hib^Xt
zlnSVI7S!%*DyXTE_{v15eJ_~?z1Jty+U}8I=px3G+o-$iq%Y}(n%8F1fm9-`;9VK1
zuY>wwJ-RsmQl0r1(948!7uj;C72W45gS))QSlIlZUbVjEiS>bD9<v3fqhukJyJsC1
z$Z@+_+Frocmpja?vcwsOGx4m+ScA{e{-NJ;!{Ad`fbQ=Bbl8sToZ7|TQZAt`McP9x
z$t0;rIi4zh@uhl8BQYNNRK9GG&T@P^#Y@P!8ZT}JN$;!N5viQdRaR}ME&va|6)KnE
zs4u_KZbJ1?mK;XLWlf}^{J{Nl0`vzfQIjcwdd@rej3%N^5JGoi64@m34JjBsg<i}k
zGSKvsKS5t*C-Bv*5}V9DHe?&Of>pX!2u3<dp!uKxYJ~L%cT(74{bdYiV>sFJTxiPt
z5tbqYNu#fDPnf#sX8)nDXvg)-py?)Rol*b3A=QzO%je}z{ztxG)EftTBRx%}=Tdv5
z#hw+XiVlBc(JPJ>e~Z)QaM08`$=^VI-3vWVgt{4ZQ@`reCP4*qL;nfwO;_>_Z?6`a
zLTXSwsEXLxyFe{b6laCIWCO!9gQ$LNLpqvjgn6}^?MnBgLWQ@;{w`0CV_dcq91`5w
zrQqSOWpD6RP+RGSgw7+z;f87gYy82N5QZ3b7<k-dRtdbR3U=_vs6iFt=0lBgh%rNx
z(Fe|ncUrPmR}EH1!j~SQWJ#$at@H*3j+SD@R?-O6S2eMoSWK)Yjh9wSYosTV0bHk|
zsQj)_Dk+1NhpJOuslHWty$x~=XKM5HLg*CbYU?nEZlm+xhS~<&U0E^(N}BOhH|RvF
zVLg0_+T10&E<S0US&Z(bm0v~M*gnEvhPCuDex+dxa`K}2uBPhTaQ2O<yRi$qhl@4F
znoe_jXrGX5t}MLOy-Y#NSK)?MpPMZ_f;J(Me#6ey%D`>2O#7ouhF&LK>Lzxg>kwLc
z=g(3*>t>9%AZWWD%FE>tsf5T$!AgC(rC43uDF0H3R7=VMon;p)YNKSE{7kjz|0wG~
z?q36~$amGNHO8*^2sz^-=3bs&0X@-9BvUVe-K`h(4;han`Z{zbRUS-(?@-A*8I3N=
z+~X3t4oIG8B%I<6s3{jRwBqB~Xl^#VF=oyvv_#g`3APSjT$m26@K(XgETy}!!KO*V
zDgCp)AE&So>Wz9*e<1{NW#wjaAwH8SqHd9olgi{L644r|o#g#WU)`ph7ylp+=7+RX
zTq7@(*NCA~D$@GONmZo*%6fSYs>}Z>K8(sT%0e|-xu(ojr$P;usWnGE%nc6MPxQ;C
z>Cq&b`b0{AjOC?HP-W@!P&BoqLEdJzz<rs@PT}sOlN^ni)|Woa#`DLix^x7;)G!;p
zux>_0Sb-ecL+E#RVQfNM!#Q|P_X>@K<J2I2t7#*5QOl(>O#d1c+Ny*xkx(@(g+giq
zsfr#@G@YjXQmX4JeT52=t>P->64hFNE0z<lE0TIs{waNz@}N2_D-Tw_;#5*lny#Ky
z#$mqImuo3=6kQI4Zt*Ylj8|xGHCer{ozp*JuGPUit4B7Fedq}OLPmTodIIGk_0g9I
zf)=e8IxXv<vy<t2%rB^cmoW{PF!TjBF|(Kl&~TUM=W}zIP-Z<?SuOZCTtDOv+~J}P
zyE&bn#y)@!xF9!-X~A%Y`Fu^z&K!dac^0_Td#NO?5j#dOkb-(kQkfk_qO@ZATcpNs
zP#!_c+Cq&38TpsuRTe8z@^)z_I&Ei^U*blwn><J9qRbITh?A5j>IJYk@5p1-Tqt2P
zFiSf_$2VH*ti3^3uDiYtb>C;uC1&e+@K8)3BcZsMg>`WRtx@mcl0Af78x~r61><JY
zp!}>%_hd$+$2*Y8hGMrk>iRNHWfegs|Hy<I{^Acovv-cW$3JBwxaYhHzkd#HyJHzQ
z@uLENi?7FaK|dlHF8vxHo?V7w#if=)AJKp+Pi3kE)m$B_Kcgz^h2f)Jrh(n7?2$IA
zsyaZ;k>4n5m3nd__UCYAEo$jqm1}Z2<t4NlhmoRJ8>@darMI$2EvdECLN!La1eR&C
zejYl~fAwIJj&y;A*rS^u9e5Mw_IxCRpQA%?;w_95$||NKoTaHu7Bhg2VP~-4;c0lo
zoWuV!7G8`6+yo{SE6CsM6x_NLR%O$fSIjfiL=U06{uOmkKhuF6VE$oy(D$hF+$cjU
z_Fv_LzMo5C;-IXGp}#53)FEstSCed4Zfe{08u|v(lnhfINnhnQ+5zpgdQTChx8g22
z4$20v*w4RHZlyXEPPs47ldj5d)px1^|LZ99=R34GXc;<d(Q19TNS#<4=aIK0jU1o?
z=^yAsx1mkUUNBKadMKkH33(OMhmq*@s4!m!D}iClvPIB0O#wY&D(+sxp!9i+^<^o0
zipyaO;Z)rPe&}Cd+BHPhi;8~#MaBjN@myv%Qv<*92~~i2>>K;Ie(Wsjr#7Ba;Z&PK
z7eW^=U2jjV$LXgCsi<~W_Gq;zT`#LmfHSo|5+3TRb`W-!L0Qut8C!30ig_)sk?+dE
zIL$o3m_4GTDmT@2+GzE@lBQOHX7dU9=DH^9)v0*u6*PJqp};&%d+D3#6L+Df(-m-P
z?#Nof&uh(;fX~5&itaDu&irB~vLW!L%*S_m4qS-o>;ZN%%W>aW3JQTx_y<n1QOr?x
z19u!Xj`MUku-eCQGnn<v5^yK?aBYP<>{Y!TRF%WnP`(0p9h~laY7u=BRT=+IYdu5W
zr0msafs!ANmEym3Wd+nVr{#%q0p+xkFKv<UDD6NJij(_erM-nc?~5c!n*2v?q*YeC
zsQb|=Z=$W#Z2BGTlNP0y!^uko$-Odd!)<aLbZ;5dK6*Z~Sw{R<#bdrO60;pQtJZ8R
zW}5>Y@4Bdp{bZl9)9^Mkpd9YaPG>u#Qdt_^@>Y1#h1?X-2X3+NnKSHlXnG<*_P2pX
zc7qKOhNHXnhSlf{tXt)wJ32<?A@8gV^tnqw+E?|3>Q3!9?mFewJNg!VFXq(WN=r3W
z8KrJeN<ydoP|lM&<BhJC8_1RAMN$FzC-hOG5~#+=#c(4CQm?8f)mqwLPz7xSiOxXk
z<2-qoRKv`#58~(ydIZ!_z3448%S?s_IF1Qs`+&wIfatLlceXyzaZG1t!7U<UruD}t
zywC2#lk5j~BA-oRn?v!@3aKmxZXG+EJ&rMZ85*K!_7k^+8wPUz7v?iFkST*R_Zp@a
z9ZMahj8NV-p-W*E()Cn*70&7|oF$%U;YtV8hwtk<H3IcXf>H`()lF($klLIee8xea
z-VHzRmAZgZoh650rOlO7uvZx22fU0ottySx11gKI_CcuQmP6s+2d9<2&=gI_Im`>~
znumVJ6vO+<V|pP|W+1d(Zl)$Xl3l=#Lb}dU_7hta87uekyi3qm55rh)$##c+C5uhN
zSiTGbP%sz4zGFDd*pkpatYzyVi=+Z;;7YMeFwTFW?;MP$eZ=g7N~$4lB~$1K>KwUB
z@}X(mtA8Q?l9}3N<)hk6{{eQ;N_6(SL(g7N=`06JC&UfXSnP{Kq!v<NsSPwD>C$zn
zwVVdN=U{od+*@g+IFws>vngu6w*UWUmxl0u&x7{)9HmnQu#?ZG`!Yjt)5`z@V=<m7
z5ve(Q;hQSP{=m%RFuuazL)wOfm0#=zsB<>3W7%ftPg>bDCI*U^H*7Q;i8Xf}?)5b}
zBNzAoKmD88&NN`lBOg$JmPlfb(Eq7SuhJq^^ZbA822usP?_H`l*{-(*H>k6AR~6J%
zP}_T;>shMwm*>i(rFS^9^p=N88^t=}KJmHuU3>@U!FaKixIt_om6I!AN13gJDT?e=
z`l*}MY_*H_R;#J|bpcB3G4x%eL5WDnSq9I+eN=x=Ghdkk=<a8*1EEAX3CiC{t}njF
zY$UJLXAeTXJ_k2=7IldTHUaN8l{G@M|B$_cUtN#e{2`_x-u)CLs1=98v;}fI?{n$U
za(=*{bE03Ci!pkf5z*<%LK;FgRfkSQ|NgvwS$n3XXeIUW@L3F1Cqq}(11<|I+)Po@
zBe8?n3m&Cx^yO!YBcy2jx7q%kP;#C2|L`Y?o1}}<IQa^kFbgq9&#4Y5FvjSwp@};H
zUPKBqGiKo#uVHTOhT`pCt|VU+*=Hb&V+CmrEsG76p#D%WoB|=^AU71`kF!W1S&p6M
z85H7y*j)nI5g4Zlc#jLA4%v+w*&*fw(-m*J1Ja>(f&TCSvwJgC$x(3Ajl`~Vi+PXi
zq`A;hRHu7D`Cbz&<viRb67+@I9=LwCAY12@atQZ#s~iVc^fhrUJl|Gvr~i&WO#Fd6
z(gCp=XxG*J!~JLcRmI)7w<k&iWJNx$bW?AjpS@h$p(SV?^mu(XF;H35Q~2FCBgLu-
z^cSP?eBt1jw1$UbBT_T&b8qpL%aw*hrU6g5(_Al3VOOKxcLoa0#{WMdjDh0p3HU-Y
zF@l$~kKjIOgLU^he#da;5>o-cdpn+R9@_&e8NnD>kBZa;rWkXQ9zds3f8%6x26~q6
zQ1xE|;Wbs;2p&LV73-?fOZg;kmK)2*Fj`lEB)!O=?0fDrf%V$WSKL?KHw%8c3I0;z
zSFyJAUMel`kmKcg%4B6f*4fM0N9^#FSW%-tPOoK#L2DfaUUoI4_^jjCBav+*e~o{~
zXY;JkOc*MZ6*AG^Uj?6I7Ca;`FbiLx&Qu5V*@{TS8pCYC^TcAU`UodRE7YEbU?lqB
zCTfYN9)TJ9gY{tr{)Dy3!+yl59>@lw!tSB3!#Oh-%Bx23N&Lb&xf67nFSKsh8~fr-
zX3Kr$PZAAg**bp{f2MDRZwWMq4}2rRhkxmPf~v(WZ?t!eFTpp)&x+yV5GhE`K-y?Y
z^|snx%RmjVJ+V-)skQJL)BrE&GEy|1$lUu14qk2OuZkKH;m?{Ubb#9|0&cshNTe&y
zi`)yG&&p%3>&(8y)4amIS^)d25gek^G=*n-&y>d#EMpI{r!XV$LW}wxbM*!L87mcG
zYjZO&KffX6@gP?a8sqvP{N&KZQ1wYfZR7!zYd@imtOKt^Z)le$D2wIYQk0nDf9A{c
z?)Mh)uJ$bT%<>HORP#*nJcQP3xwo9}nXjz>2z;Syz$@=BrGW|GO9@kpYxVRdq%}C?
zqd`Y9ap_PiR1z)-Jots94eP*d+y+WdJp*HS3<cOwp`Xw|C@4_EYw$N?FgpjZ2XIqd
zO}9da)eY@j0aVh);&fX9iAU#|-{>As!(2Rts_A+>>oGiC0Vt{7Lf2h@FT+<vg*X){
ztYfebJwSrp4D`r1fNE5hiXd&sMg5P~3tD{wb(U8iB+r+IigWyXeUTu{H}yogo4G|-
zx+~UYa*uL<b#L+X^s>J7zA*m{e+Rg}T3|P+h7)^)a$0?$B|rt-g5J)ggBI8s_trGS
zP*5CMWQiM1H$jax8owbYbOWey#oz(m4KHLB;UoIo-=Uz|iSt@jFtKi;&Jji#@S_uT
z1RS5{bOh?W8=w!Y|DUTB?@(t8<1=Z5@qG@CFb7i5_CVKo3f`}wP^Y=Djt#|{i!~U;
z(iZeE%*#~07Mw!QRh#-3lFSB6JH$8sFTQM43wwBWyPvp%T;oAncI5@;FVAo0D&wY+
z`}^Lz!&lcIjmmDexLK+#(@KisRKw6sxI_hl)Rn~5LAK~(aCcSHMDqpnb@M87V{<BU
ziSvx>kP#bc=!ri05}_Epx*hrVP&2H<DLfZFlBM8n&q7V-FVYXyI2*bQaHL?RZGoJt
zhEN+dLk``0s7%V>li9?-;w>2WbKol7ha{^RNUlueH$#W`l<SJRbqnk|QFI;rowrE3
zUL1ajO2|oI<qN19mh)+z9Jj|+#Wg=aK5t!K`@D{M3-Vs%HOl{<zsJ?ko$fyGnc@xd
zUGy#TcNFcCC>2zC;AEJh&!m2UJo|+EOBe^T`#e)+^AmFzGHWYad>|^1GzWosI1QB5
z?dXR-gtPjrU=pVAyD++Pz{si!1xqB<*RS-g`UdD=-TDaPAzP`M*iUBStaJ^U-V0m+
zJjutPDlRJw78c>j!l57Y3MCB<;goG@C=6!lY7m2#pgy03lZ1t-L^q~dlcsuk&7sE1
zTcyEB!ASQW_AGJtc2&w(bHj4?<P^`b=2Xdfo-;nTRGvRCJ^!ccAx3OBFNgJZvws9~
z8pcAymZPrFYg74P{0s!8V7Bp%>9cvSrG&Mcb*QzzRkuW1x?292Cz^kNh4&H6?0cZa
zjuI|l7IlPL<2dsLTIa%4KR7Ikf|$NoTZX$@1yleBk|62_6-n>LDjkGG!Lj^r9*inM
z6B>dn9gf*h9K5?hAk(fyVr)~R2%>2)Qa)bu0(!B%*|E$>?3KldTRVw-#obc2f0*yB
zr?)!;$>Z&E>*myR?#(WlT_k%(wv_$Wc`WBvZUl1IZn#dnmwP68yZKuA`-#h?XL6`|
zPisdkp!6)_iVBAfHBGb4CoR*grT@<doMWqxT$MuBp_bEto&=$CHU$Yn=~z)$bH9+2
zIS@Nq3|9KSSmB*uGdXb226Izety%DlaL%BY)RrlSIhcd{{}h1;Ye2#u1x9o!(+ucq
zeww@{$rKAEMtgKQ#~Krm>a!W-*<{Sgd?pT+^=ZVRpH@SarO-?meI-2=Tz&KA=fr1E
z%9@6pqN^D>8M`tkXKl%T<h14v$=jEI&lTZ*;JNF)>O1d0C&o)wWtmz)Pa*H=^Xz4Q
zmtlm-WA0=fguL51pysZy7qzd%6TU?P`U_-%y~Icg5L)r)I6rpu{UE*<L-lk9Jjm}f
zUh9K8*H)Ym=PRF}iS4CLf!oId+S`8i0rwHijID+S#z)5Hrn4r+)E+eX*Wln4hAy|0
zrGuq7^b{k_PoXxfZfuQiZb!Z{mjXp@J?aiJxd$n?q<BB)^SKl9BXZX|XJ?(rXqnzU
z?R#oU>ZY_M>8~<cWo2dW&S{qSB)^CIji-ulFgzVs;r{xjl-Bm?WvK)@l8xd&8J?OB
zSb}Y1?bRF)9g^b}@-Ua$r`Z}>-<zj{O?FV|gcRy#>}=GgYGL&(OPwS^WUihCz56lT
z$NyH!VO{5yp-P<ckNR6{M6Oe9K~I{(rwR3q6G0&EXi2pU1cNxo>a_~Cc<U|e6l<6@
z2IR<Cb2IY+QvwLt!G@wjFz;kfGGpl+(o^4{UXkC4D}1dzAM<<UzRd0bBIKsjt|>>8
zCnx76e@tng=1Wh?Ohk`AD({wSrKh~_qMwo)$)i!dIjXt!Cg=-?qY8K(gt>c`DYh7U
zy5nTPw}2POvhD4#+K*Zlb0gCX!*jkh=f>Vwh@J|4e_e7<udZK($6y_D(t4sQHdn47
z8^F#xD38R=;G;Hz6sLbMx44l)VdFB>8#8Oox4yGYwo{JDNKJi++>gzUnvSRT#`YDq
zd!WJpmpU^8nv}O-)YoL+K}q~pud6+hKZ^H!13XFj)pD0*Kg?*67Lw8{>952!2|E%x
zBrZ?tnzAg-ld%HSup9YhJpFxx#gfPa$xut<ggccwN4uDLTrm0v7fpjLq2M}ib<_&j
z8!$h>iSX?gw!YSr=6C35>0B-L66(TT$V@#Aj`8wZl)6bRt?p4uLWf&Hj)B`aR;q`0
zCm~Pqhkl3J&a6fj*<51{^Ic26)ntzaVbBmTHsE2vj{vkR0t+Hta8Uq3w$3bQR(zIi
z=3mCDhGjhTm&|bZyXt7$l{ZqR|An`adrRIL=h4h-X~8K!6NLm4cOs67FPQK=F*|uw
zTBXbq&Qf{lt^-~{43xhp^|V=VOZ1{<&<oMm>A{-}FN_PJ>snyjVejrZ?%3@p<QQfz
zV|!rHF&7#Oqqz&<@x6m4JRkM`BHDX(1w2EqaT5NGOcR3p$|C8ER7CzP=b)$U)c>Kr
zGJX!61n6&$S|yti^sQ+De*y{zHVvGG{J=+`UPcAJ30xOgEpT?gGDl<kEh~jIy-Ef%
zPf(}KM&fdq(nxCRFXa8>YMM9JIX-h*+Qa04#Io_1V++T2jBOI<k8hIXPcdhV%)Xyn
z+}*@y1x0^5QUi`q*XaYe*|r9sa)Iy(j+>Kai?u9PleNfb8el(X+XE8dKGP+`Rem4)
z3?AUa$cwxHXUh-t+b+Ow&=G!Wx15Qt&rx}Ud{x%v^U4|AQfHDTbZd4qpJAZQm8{>v
z6k7&<r#+~7(14(FL4||F!1TcAz-xgw0~aH8=v9CjdZS}Di?y$LuyKIk;NH<&NiVIn
zVv=OvInN~5uH5h0w==?1Ba)KiQ)9>fNs1}=XF}}A_<$s9>b{JY&hL5iJ=gu$<Yro9
z;zkZ-J`>3{<rqGLHyWlHf0{a3&RUNmwQq!7wUxC+TN;>W8K(=QI1p^9ZMsRzRGOgA
z_8V1@(Mq(Up;sp<*Wr+hmBUfRdyD$sK=r)V8~G>8*<XB1<27@-)n~sDpapt^<^`V(
z-WuF0_}`#uK@Ee<L195!VEv#%L75<xb_giwFxhOD<3>hU0$*u+JxRGK?e`z`K5_5O
zZ<G6Xc0|UV)X1c22@hfi{#hM!Jf?VT@%YY3t5UaTUd!R!`M&3}s2!wGod#)JLsHyU
zD43d{7yilk+>~y9YB^^8iR=;Ga@gzwFZ40DiD^dF(L1QG<&#nZZjz_a$GMJP_Gn})
zUQvx&F)06wVO)0A?x5Fp9erv)^OLg~Dw<ka8rm4gih!emD}v0y6N1ME*A31OI)rS)
z@<Bk!1my=l4O|lV3n|Pa?Gvo+%s&jnd4<_Z4bY3Kq4Gp=rO)Hp>}s4RXMfF@mztX>
z#TEK<==Y&tLw+~;(=VP&u9Ge}59assjgmv*H13KMNH<{=c;@E}v!F`hp#gkvI&OY#
zscGGc<ea9KaML)$AFd7amaNwvD1mZ<SQEGZPU2N@hSUyT52Jcstpq1WDNR-*(9!6F
zntv5?h1$#<<DLmGjJL2e?ngG|eaA5n6ng~@3p@~bFz|I?Qeds1ML}PKng;j7*VUjq
zfi(lF+Y>FF!5HhqiF6d9@cBJ}k7SkK=l$sJk?(OH%6y$#E@^Sxj+nW>rbajV6%_L#
zPE9go^v;>@J}Q1z>!Gi)4;uUr!U#j6p$!;7b4|m{lfWr%WqW12X48>kx5o5SIL7v%
zs%eYmfno+SyvqCT`Of(7iLa!K@+`%v48|IG1uBX+YH#f$I`oH0Pg-FJmn3+MyFenn
zYOMi%-eg-J+j6K17ugFtn1K9%XJ8M052}t4$ObP9dLDQ!psAyot-8f)d?;Mx9)Z)b
z4jIl8k~OoW`r>x)Uf1@Vv6;nFKPRxU!tZ|3U!uDFx)9So;b+RAtaEvHyu0NldS$vH
z5(zFL$4e9T8g>}_fUBBp>0_H_|6>1U-(Y)Y`D|Q?en_I$Ql92t<z4SN<gw!%b`<R9
zxu_p^SL4*?NR-*GebWZO?X!(srrh*Bb^x@7HBEkVnDt*|?bWgUwAQpfw5+upwfHT|
zt$l1pdnA&t&*8aB1=x_v)yolXKWpo1J!fW36AgjFWo{c=k@4XKdQ-cm442OO=DQ!|
z9?7bcmYC>@UHJQ2^vS5Yzh=a62`f{JWlwZv`EDtZI-#C0%h><e82g1chFhkJmUL@N
zyV(&1I(C9R$-2T^+AxMaNcJe}#FO66o@4I9p7H3+55TFp2kIAB<o9sT76UUvQ%4~4
zHIDvYRbK%g#nrt%Gdn9YJ8N;nHMj<+Kyivw+$|KhQYh|FXmKr4+@(c|6pFitKnMvW
z#5c0;Bi}RGm-qdDncpUx-I*)r-h1x3_nz}SPDQeEow@~cn{{coai6(3-D_?GXVF^0
z$}x#EfNjaA-(<KC#4=IO>f>~kxJ|&mr@>@+1%4j$nDJojJf>`glcvW+jyM^6dgpw<
zd3w6a0oU$L!H+qUGMlCUkxGA9`eDPz?>^toPB!1ME^@aHERzzc@z4a%RU3iH7hu)`
zPgAR}YB*)!z`-f#rfd6X66p>^1-`SlhpU5Qzr8V-L?*f;;U`hYKi1zBNHaHlcHc+;
z1pcI$O^ksLKou~xEoR2B<+WSDPZrBz$-&*%{-Iq0Jf`n}1YZs;8|4h?`U>!I@PR)j
zmVL=snd!jU4bfg=uQ9zftKiAem=dKb;$fUph4_=af;-+>&$^|M%8U6Trk_uxKE!<}
z|1tH`$m~|;Ue+6~Vg5(rdvX-`TY9L^X-b&$+ReI7hAqZK(?wG}e1Gq7eHarkT2J#v
zUzq#8<CXosJ;`BoopFbIYa+Voov#pn1%<wY{ytdIlqX-ov!NMcUN*r>{e_KY&w>rN
zBG6uMG0ni!^n<n=m&YaQ76K!D40vH)aWlE59Kof)A2<`f#b%)O>lw3ppz0W1S+Slh
zkEr}PLVlpTpY=pL>Xdl%t7bR;+$3#e>b%rmX=6SoX6NVEDL!O<=HNVCe1X6gu@O~G
zS)JL=O*3u}$qlU)HafIw$PGi3Za8yQsiXGeq&(Kw*7L-b>3o9Sk~yx4Kw(n5Mq&lp
z9Ug9d0(ruIA_izkZq+NSI*)05h(YPkEMqd5dh9-SD?1KehkoV-bDVk0aO^i=bov11
z#tZ0ggSZrMq=xHabX&O$?Phj4vr_X;ouZ0X(aLi4F6u4uyLclo#<SG6+q^exL%Kdi
zlU$T^E_u@j#phph9u}^(#yK6XYo6A=PJyc8CvuG{TWdDf4Zj!pO;lK9qcFx)RhPhs
z^kj0pSQ5yF$6J5T6!&14;9Tmg>1^wGZV%X7!h)~jTh2EoS}S5yiJI%o7iK+LU_G;g
ziDNIYQ?zrmLxAkHhV9ARLLAQ~L=r|Sk12P6tB3(V#$D|ru7$3i&dVL(Lb<V+%PNEG
zy#T1xebfz9N9jUJNA{6Y_}RX{oL5Rl<Yj(t_8~60SJJm{m%k^|4`q1@s#&5PKf304
z++J7Uf;57z$Yki6hNOl+h@2E9M2rbLZv2g#rwO4&sTcnp*c;!tYPohh?>OGspW5=R
z)2!F5iFTFifcG^&kzB5v2|u}ph|5XUD!AXdiMlfSe){_QnYuyT8+I5|PSaRDPSp*3
zg?6x|Ov9;oGF4Xjw|Xl3m>Z$D=_l)t>aL@At<l!jme-DEJ26+(4OPqNRn$nLNGKcF
z?*3qXl0PV8Xv+FG_E$6BbbUWI{X$lpc|*w#TfF0pGr{x4|3XSpwbRuJ-4t;%s#Wx+
z$Qxm!O>W&YwyC-mO_S4vKYat;PaL;xUW>J)dP#0E3q;jr)@1uUH%?TgNV<cjvGy_-
zjo5>kV2in<I|4ggZHzMRHPqJM(AvPkcOR_82XVI283<Jxsyohx-za)2zf~V$vb3jl
z&-Bd<dczp~WL-yiLTcI3%o0sI^(f^~MJ2MaIKn@`X)NB9-7sx=@;9$fzMAr8&%2+}
z%jFy^T4~F7{*0Z@L0&yyff~jJOsk`;aihxS#O;hK2`R4&*Q}sx!e)3ZF5!p!&bm@;
zFG>=Dec905xbS#Uen}78IcK<Up|GADshptcsr^>>UcbQjyXjSkC*)a3laRN@L;7&;
zG(&3^s9J(|=_*bau8}W^Rlw%~Z!$HPzOTyE9A>+K|A5hl=@aztb<K3gxXQrkj@70x
zwKcVI`Z<W$;D2jxS&;uZ?!%976O-n@?fGujhqGzpG6&?&H;=Sja3pvuiIeGgZAatk
zu;o$LW2VLKkEtJZE3Bt6NvqaWp`(c-fmlx!$4ASlq9Nu&M3)RRdkXuPoVO)At9m;J
zew6-F+)|BYu4t?4#~PoQ+;A;_8CpJcoN2qEpKcgiq;9M#KrGvOFeua~Zi;^3`E-^#
zU{(K7RhzxU9n}AAa2nPaZh#$rg>JcS7g(N(xktd{UZd)*7%3g{pLCox=VVSw9hy8j
zX=jq+-N+AD(%NP|%$}LADY95Uc}|Hll+U$0O|!#|QH!G$v29}hjJy*1*5J}M*ZfF3
ziBCcme-HONTfgFN1!Zzu=Gb#Dm}glYIp%uSfh%;cC=#0#bJPL$qy9ihxA2w`Sz$*)
z_8L#>cVhQM!Tzmz4}8Sc^bkck>M!Ds)LgocGndN5IdX+UtBPTcabbp&MzgVrG1BlF
z%zzKMH0~Tna%<T3;9A^5{>E=`_bExwI{6{<^^%v#uRA5DeYlx!`jVL2reIz1V%uzY
zeV(VDv#F-;k*8u?mHoTy!8k|cl8_>9mZqHY5>|9`h3&qUu0rdZ!UlOIS*NqU&0S?4
zXT9UD$~Om+$6Ru#qMPy`b$jh0!{pFD;dLTTgf9<mW#qZ_>>|y6>>Es_Co2*W!@Gy<
zO)ept5cPmAUKRVd7W%IG4a?}iF;+6kyr6=<nf?a+?`fS`o5UPak5z_K--(6ZfwpdW
zCqG_JTK?+%>w(FMA2xn^lF4N^&zo9w-yY#zA*`emw3mzn!bV40qbtVrk3JQ7C`@Y{
z#MV~jPz$B2foShB=LPGEB4_@S+`744^U4+;vHs+~6<8w0Q;!whl_Bs9UBFh+hngOR
z*uhBrx6#AB!+QOKdW)(uyg|WA1)hNv;sd#wx<`>XIUR?+#XHJonx@)^y2ZeDA7PlF
z_k$Uug>Db`x3)byTyqC8V`CNfrKW)s4yGU`T}XQKs`=}s$&FG~pC@E(&23~ZEZ%Id
z;@vAWQ@msr8t+7WiJl+3IJQl6jc~J}iT0Fg5@nK_3r7PZy>*;TtfPy@<gd&jbJrBy
zEAHhu<sBgmAeK{al|wbxFcV+aHq<8=e=|)6qi~YJp(QonD35~y(m>V2nbLYiJ)EW;
zz-i1nAjiy7bWqZ;Lz=N8xW_t+ZnN$vwALED(se6!8CqUrROcy=(GiMxVvFyi<$BiO
z)Xz!3zV7jMWy*l`+{_L+gRtwu6`iwR@D-B#nFwP+SZ3t8=;G*iQ4hkEA(eCsH8<!b
z<Z<z!e~;VXm}pTIB@`^qo1RxAKVTkjHF(wvGe{#{4OYZ**1%oV^+TkD!t~s@&RE58
zLpxQi1zzt7@bGja{)KH^2j^h7akkV9JM;ULtu!^+e%u~iC%psQwlj6{x>(&~-EaEy
zdKve7k|six4IH<Zia*F9f!@}JS+CxYN>aaB{kD5bLE1l=)pHE_^@}_u=j?@^w&G4@
zx^`^n*w~t7$ClY0eL4Jyu`PRFc>>JtKT0nG&paC)_e!RjpXTy8_j0S7Zxvf@(>)FO
zBZQvbs2&0D?sQ;+-`3SMgc_Tel1+r6o3@>LD9unNqAE@lhC$D7Q*2XQr#j*M#Ed<}
zC5TJtuHDQ%(#2tpYp6R8M!6*L$z9S7M&!?VW{G;GDhB&sWfaGyn%>#wdg=Awo_#YX
zX~R1{HUD$JtU)<P^M@1>Hrlm3FjJAoy$L-OeJl26?3d_&!quh)tOaZ;pMa{qkx%e$
zvu`Qv4m9mo`7a6@6jm=;WdFxK2bSO|MV#8D*~NrvFX<G95aVq_V?%p=W3C@lN%fCn
zBz2o?i%6+0@DIr#Paw`tMQvA%Q*~!fvDdX>h$@<;)oH6@x2uGE#?8bU<($5!ZWC9+
z*3tA<j;7ZmPV$VxBrbELW*4ShN!p!s@?A>m&!5A-EX)eaZD;OZGRdCdJxz{cHyVEn
z9~Aw4OqZw&;V(jV>l?Ef%6f_cQbb^udx5Qfam#`=x#ja(7u+p;RJ<9C(hCAhMIE(Q
zd0%stxurd<k2Uo*T`|<vYq$Z-GSxG9F!oT?!kNI|@X=U9aM)Xop;syAz(N{=NbyL-
zOKjmLac2=@bVgs_a7KRs_GxR~uUt=UPo@|4t|ln=tB$IBtLl;S+#L(rr4M~y`~9p`
z*QXnq6~9#dV$SN9_t{KYz`HHrBtiE>=s!T7ZxL2vdT;ob^DrOPr&Kc(?ZnUCzZ^SD
zUKDi5&CR)%A6`_`I>H&|+Z6!roiLMZspK^d?O-6tPcx+IN9vN<H|p<{*A)|}pMid1
zhL7A!puUtP`(li8%J0-6Y<<q5OF>-PWW9?!$W_x(SRZhPCi;`yTG&jH+(vC2J4sWh
z>H`ef-KtN@SYn_1y!rbKZEEs|XX(!}%V*Wg`ZH@=_NUyT=J}R?o$mrQ=<8gHsaEKx
zkP_1%gN+-d6}A5|9{RO(GEmXm!g<e9wrEB{-GVf8>*6rmF6Tr~k#}0)nnchI)lOy=
zH%*tI^#eh6B3DscPV-6Go8~ApFuR9}zl)beNoqz#DQ6)nusyghwrexEc>QDGJ}=i#
z(7Cur+#2o-7;?9P8~8kCS`XJ%TbG%G=*=E%A7+;NFGZ1`u>6=En^7U7XGTh<I{Q>s
zjW30nA9AA1O^Pa6FM4VbI(2XEXH(Nqor%#`1{$)6edAx$pA>_{a^5SBc9t!L4a_z(
zS+d1S*{VCvyMFaf_g@qY)I<81vb82dE9$T5L%Dq#mvSB55@+nsa6(;&JS{~4|E~#l
z=?chr`k->XI+aP+cGSJo&C+q;jkD?M8Xg<Fgbc;JJVw6+%tztC%WcS(hjnybeN$7+
zey_cxsZYLfY|k5>ss7^45%P>+`H9KO%s7&nnw^v1x7g%rC3IGNVm^Q|@(EaqBRDJP
zMJz%c)~swxZ1i98Xq`JPe-$q&9#oQJ*<@P}#Ff>K$u7#r2?@k51+QAde8A~nvgWNS
z4v3-yRTY$#;YqlTI!Zi*w|#Hm6RaWIDU`~tD!*FAd|)ae@;;uM$lc|t>Qwq$hT+Dk
z*!6aTW1_llwf+~wPx_l2t?R2#0VcPXX~GOvJn-HrnQB(&ugg(nFUXmY{ql3~Ps6^9
z$g5>eF48;y_TQGe(p@x(>}K$EX}H<?8iv}sg^W+JM%d&_^EeR&7Hi*XZBa6~sIZVi
z#M%aXm@C=)E1x0hs4{du*a+{a|IrA{MfM6q0-d1@{g}E##*=%2n>0a6Mjtu^)YwkM
z6B4m9sxz9&>?CamPNUnZTd5ym>=x26^vBRvp|3-(n!-&XrgY;0g9Z8@mIgPBou|&F
z=MxS6W37sUK{-P9hwN3^={eu!Zq250^!W>mS6HVz8~FE#H^?;l6w^*;<_>d_+AZor
za+vgq2vh7OYl%&Ly_^qAtmce@?dFC>>r4E$1+Gfo9sareTfr%E<Z(s1YB773OXLh-
z0$HY9r}&0kj8nQHQZ?}dPOcsagwRGP7EX#gh(8o2HO~y>>Vh-kiN2kolCi{C-PFKz
z($qd=TL=?cHPjta+tg9NQk%%?xEA_%`p?`44N!@t2i_>#`TXLnR#}ehCVAexDcC*V
zm(?*pq`13noa?w>l=@Tosz}{f=-wvGCsj`+2MnbsWm$4;puly=R=s$pxnlua@I!&F
zaG1qn@8PQJiT3FNhxzY`eabwh3iinobY-=f>I~&>_~BGl3@0tp93dib$k*IA&gb!+
z3sez1!++gJ*H$mlRA;AfoeVQg_d~p)p<&6PsxWt`E%alEF?3?s^RQpS+#$)v*7|+g
zx7yoUKU-V9UC~4u<;${Ia!!4Ikv=%%TvmME;)1yRs<{L6mK9ZU4)&75B*hkWD0U3S
z=`VyR^l9p&U~lUxsfDI|lz*|KW3eYcBClL-m)wQ<)6B1m?pupoc3&pH9_;ctir31|
zj8*p;e1|#QF4W=z{TX{ZGX<Sr<&8(2K%_U)XGJ7ipFnq^JfTt~sS4Om=<g2W#*jH-
zWO)1Vd*Rc<$A&!%Ef<y^_Gj2XVI9J*g*Xifx*FPC>}BlMtOA4ANvf}4cfYnw$u)n@
z{&eC?O78rEY3A+bTIOPNN=dGxtbdPmRrw?K*UsXEXMv^?t)vbEySJC5^oO|?TX&hI
z+?Kg#au4KA&u>=bw`{geb?kDz_2vf}k&o50b<xItMwKC4myPqaA(}N{Dd<8qASw$-
zeJ9;robT*y9V1;Qz3&6J#COCX_&T&#bz<&v`;1M)&P8mA93FW;!WT}2*9hwy)*$>w
zcyxp(tWD^1<29^Y520N<Ds`%@>OWLlFdIMc5Vjd+I#>FVn6)bJ*P;WKT_uBxW*3$#
z-fCxj{UkvVt%?T<k%>uTcB#gb&4d%arS6@s&#tP@zLt3N)4Z(Q$GMO4>lC%OG_$vN
zZw(BQnp4A+x7BBvx>~(H+!$$$HpJ<a>}h2vc^T(g)xC$@@t$H&b<YM@2Uj$rqQ?1-
z3vDS%)sso#`WprrN1E=2oDCZsaW2vm)jfJ!)Y^z0p)*WnjUzEvbkQ-~1$Gvb0G^9V
zN*;bDKPjq^dSQ(Jg13{ag2iNx%YRf*Q24Q^b#dF`?BeW_+xErYr||fWCPsk^bfw}1
zaQP<^`FvQQZouJFyQW#2S_~zP3ZI&PDw<Q|DZErN)!E-$KhRogrl_X;QKe=!A(A;2
zd`vZTxokIePx=A5Mfyn~_~wC5ILT`6x$kc3Ug5TR-vzFU>0~qI0re?OH}FBMG_*2>
zggy`J9X=o|FLYUG^N=>i0fucjJzc7=r(3Rl%oG5hej~=GLp@$yTe%9pxI@Xy(p5q7
z_xEJjA6xQ^HWaMOn^6#6e7dBO^&9&EXM%f|r(xixFhw*GEvSxQi|wjVQaNHj{~fo*
z;jyl>WLU=9X4#Hf=UUp8bT2t?-Qv;*OvGaPqIwAPKyzEOpLx$-!cJBX_B}IGQ(iS)
zaYBj;h@MZLAAGO;R|E5bV)PfhZ5_gJDh;?DeVHm+6V~yY4I53_rZdJdMkjbrQjA><
zXLT#JHJCDBNFC3lYm!u?ax;Pvdn#uG-}xmSAh!@N$?p~WsSB|7V?5dRO(p#bD;0Ku
z=fF^l&DsYZAuihh=OfQl{|)fz2vnBh5j=+kYP-}h5apZenTKs8V8^+dIxbq1EKybm
z?vD4|@QvbsleQsF-wRBaEcHMz7Zh-ZbdR*@nvYnMeGeQ&3cRwT!141%=!LV|TYMv7
z4Pr)Osh^bxG<nQ9ppT4YYp{{*8SPDdgsBL;FdYm<+(x!C_=iTR-qEY+LCOuv0>w`9
zduf(%D{wO)3gh7|9Y%H{c8X5}?R+lJLC<`5wrixPy_fP90+Z&9{ifAw8|mudD*`g*
zF)-om0Po=Qz;t1!u#^9nkK-Hjy#txRun7SYJni1&Zs+@+FN?UeWcW)~5+cOwQk;T?
zmE07}@T-6}y+m~Ze2;@vJ>a{O0?en2iW=}X_5rCljqFJ+gIDfHaKcwm-d3&DRE4$h
zEwEg^VHoCTrW?0G|Je|0sH5AiJ;1C3E9f=VRz)~*5hqR&{JcOqB5ow$&cFAq_5bXv
z?#=g+fp&Zqff5%A(flCzTle-g^G))F`cyuPSLd7VOZPtYq`L#|C~uDM+rSv$9j_8Z
z{zae>Fsv2|m4!rjpmY+(^K<zDd_%q)eCl=qTaSRvI+wTvU;Rr`T|yuZ0CBA>&=wn0
z`BZ;+soq!grEk!Em3hD`siAtRd<NFee}Kuq9#-NlTn`b~@c?Y^iJE4>?BT)XMX`gJ
ztKd|=0EXtH@ICk){zx~}7s1QxQI4cKhz)$VT^}9Wu-6{uR=N5)F58w^H(3(xInHUG
zIllXWa71VfCNGf(5LbB`Q8#<UBk&ID3N+tueB0d~$3y!m$6!}0oChVq7s(25q?tgH
zdoArFMo?X_l6VgUot^YVMI)g8#}NODoY0*Ao!`!<!LK_e&=3f``2nlYibzMySQtGG
zzMvmei@?=>Nb>>6F>{%ZIFA~|4rYqLi`-c~LVZ$w8Jz8Rlu7h$<u3JG%_Pk;WqY~-
zV)rkz+3aH`L}OKsg~px=PsE3GdF;6C5WDh^edWC>*E*}JxOdUxV%FN-_NT3>J<~A}
zco@wB2Zee>8aYc5tE`I?y;#+G>XcMPSP}^L$AOC=-#y-Cb#!!eaJ+D|a<%sS?K{A4
zm8MgZ(C4?oQ!fXY^A(jZfXr}>+C&bLq67s_?2|m_+z;IgJS)BXd||-g%HwB?gNe43
z9#IV`YHS~~9`=}aJTSHbOh;xiaH3kN52_9-|DdnHGkqo16KnKgh@tMF=uS(@IE^2;
zU`6Ves?)0O8WJm+n!0mLG~!lMsdVg06d-Q6r?g5yl&r6_d%NSQWomJ);yTt&j+4&m
zt|RVDPfPC}Upha4tV9Qt_f*q0%{8x7uN1RT-X{DiM9|Ii{_9x}%%by-$M#&?B>Obi
z4DT)=&#H;J)JjAvB*J%X5q#lK!E=0oqCGe%hDu7IT7ZGy#R$)@p6=jcIO%KV-w@ct
zUl5AK=R_9O0Wn7^^+NbjjRfy3qn-)hK_~iaXZW3^ApZ7hY0UczaxmG7+M*}}TYI*8
zwT4$eQPlyO6s>Ni-DMmfy44h}U&U_JTvwk~{iRZ>W+_AHsVH{`A<4hhV|G5Z|6;3Z
zU1>dFyW?o)@;N^^ue*Gn*ZwJDdFlpwiB2^fo_7iG`EE)5BefE~_y>B&fmtHLRmWMw
zK|AI;7CEi10p5%LRs3QRoL1oaZmf(2E7VB(F?=sK16z6pktFK)NWb7^y<wh<?t9=f
z$ns3`Cir&;<^fAF96ls7;Om>KxCRf^Pl)`8f-mDic*Z`27j^`qDCWT9H4h$<z<PlP
zeH$>Z>{P9W{vV-yuU4}Qf%o<n`v6UJa}AeG6!@0*>CK#*y`*Wb?u~s%M%)SwS%Dwr
zukXtSQrH8}Vb3_vN*C|A4-|_l&^YJ(je+n#F>szwfPZxt;Jn)r?XVSizKrDKS^jr_
zTi-p;9?uKUMNd;ttfzrzC4AA%-UI$Sd<(=qE&%FPZHl1sp()*nCTb6^zt7U2!glz8
z9PwZF>3xOX5#Eg+8(2gx`e=VoKM_cSUmhWjkgfxvng@#RI@BzYUJ9H77Ng=VST~Xs
zE~*K2l8gaT8x1V~XvGwItBPS%+-cncU1jb7+kvgj<r$1&t;2r_d8vP=bub=HS!M!r
zQcctINLVVwF!2pv$Y0=Z2afTfVrQ{=Ak6)n?O;h;3(%ZgErFC6=X>w{;(g%zjgKIP
z!ppW5H5;svglZGLlDaQG^Unp(fz!LqJK8hI9q)RHa1XQNmFqOHWUl%<BC5uYwFs#k
zsXR(wgCF(Zz*D?I_Qm<8n?LQ>_%?WExYxNn&KiiZPxAEi?ekaVmx2Fqp%hP6fIjAw
zKIKN$6z~gY)1MVpsX4@0#9VUl<ex+kh^Zl|Z-5gkC_SoYK>CYfZm=P`d_!$hvO%pg
zvb8nGfE~A<^|E`J>YA6(ZC{i>01coPJ%LOh)$~x+BDF@9qv$TBdOeO;mgglMEe~vm
z9M>It9BZ5hTnX+qp144y)P>@}8+VRXux8Cg;Da?$T#}}Pk*S;iuy?In>q@nMvDz&P
zYcJbeM|<~PUvIuZY(rWpuu&-0>Ui~W)l3zqa?ls3!-&alj#0AKJHzwBZFc!wi!hJ<
z;0b~M!X^JPK2{n|#w%vhbCgZMlzk7FYT-&7`t}RNG#5(>DGR<sLf|+sMaK$_rBtFm
zu$QOPjexK?8>jL=s2{3X%@NHarZ>(9=Q5&tJUrk-H4j+_&Nkm`ZmBZqwTRBINDo4!
z!zJ1d29UoHpV^SO!oTwzbgTd>Sz~va`(JN8e>eXlZ+Bl|;1}^<X$fq*RQPVz1kY`C
zRRYbCK&u5W-F{!3Z>@Kox2vbGyQ6E7YqonMVxL0;wS`*JdT9L)Kt=c!T-TqZ!9XB>
z1I~`l*a7$mPx76@5qMc|6rREtV5is!Tp{ytUNa9-+#3+v-432o$*>Mm_z<xT=IRE-
zF>xth6|q(i0>22YrRqRbhG!`D5w!6CZUjt+W>hP9D0WnB$G+qQ?3cU*$HD~Yhfeeb
zAa&kUR)TMNe@zkdNE@Y}YP^o!#Hso@x+=i&$_9h#e5StoJNlBi%hSlVxcG6==;Cq~
zwXLFKq;sH4<;nLQ5|)u$>7%NDG>_RjI49nv-NO8=Vie_xgTf)OpZYzG+#8%79cgxj
z<1fcW=U&%&_hj&~jS}`rTgkhKUmJtiwI%SV`l!6GET->*D`hlBpHIvJ`(j?8U0|m_
z9w?pV!6CQF_trPhKO-RWyTsGdU1=$B70LjIZJIPg%0S$4tWXE6tNFq(F&x&KLO26#
zzs=NgWw@%9@|L0pRS*7_(|`f&AUi6&^b{4V-lwjw>BY3sI=D7qroUkL7anp>!wQ36
zKbcEs8UWWYhFPdiQ4XPw_@ivm=7t5c%*%?4tsPuzz|6A5y~BGnFkO5|&QR9UG+?82
zDTb$psk#LWq3lCE<o|#t<ynm6ik=#-M2E%R(($L`qhqx*-rWZ4mfyumWF{hsLaFKG
zZ{!<lE$vrcRlQd=Q(5WuiuvSE(pjMkKRRH8mst4#?;qpejF`}}h;=FJ+wYIzhl0hX
zjnq$?j~I*FKxQ}v=9QMB1?<^s@Cn3_s}P$|4%`U05X)O0z3Y3TJ8Zl^h;GCwAXj$4
zna@<kd!<^ljhVsj&<^A}=}zcvhDc*G!w-6&uD`B;JHjo*?xdcbs)<*zR79Y%gDt69
z+`#g!y&g`m8E|u@I#0Ua`HzV_K`OLZPyNkI<Ob=6YhOZ(jwRE?#yI6_EsYWO`;Q`)
zCEC5vwa&G~HO}?gb=~9hH9*X29Vtg7z+Ti+S_;I*>5AjDNqLyAK##*dc16-5nSdT+
zkg9=kpe|VW1pj(q3S9R-gr`X!@H4miGGHk_A}#>Edzl!5orgEVY@#xvIW&qlq!Kt!
z4T!^phPVezi{GR<V2vmXoSqmd4cNr{L;_JHrxgx*BG9VCfj~Ek`A%ENsr2*pQw{$b
zc<iY)g$L$n?Jaf-P&I+WN1KT--szfUooG30o9#4%Z>+@I&3nU>;5qFb$~ToZfjxB>
zy-a-`-m(>$6{`D+AK;B@mU<GS$R*?)=_daa5!g!ad-qs(FLyt870)qmKmV=3Yd#KW
zGL88~yam31!^n|}>+rtWOV^_pE0$9iFsIIdrs#z>&JrH;>jN$PE^iBOvFDZdg>SdN
zE!Z#n1zLbHr!TxO;UkI&;HHR7FC+^TOTj|582Ct&;jfwlw5VB<5|WA)w+n|5BX<-&
ziG1Kaze5~EY{R*Hj-oD5MYGiw#;g4o$Yza=9ZcO!w~a?|4*nD8WV^6x)~9i)zJ(`X
zLtu3L>b3*1l!vd$O;?e}=3V4%@2%`@;cFeZE7+yh@Y`*oYz@6LPL-uJBBpi)Q1Gop
zD6lxs5FMo5LN|V`zb0ZVu6l2K74Tra3GDOa0L$9~BjIaZ3(?yx#LZy#2q#J4^haWb
zI|$aA=HdadDi~*fN543X_^HX*u`A})!a!ipToMX}W?;23h;8Bf`;@N*7OMnFkC>~4
z(k-#2@DEQ4Ymn*}u^KSn1BmtP3^ZE}unR0=KdgI3!ZwUWY}y*y3=WPTfSuS2-WC^u
z>KDKc=3Z{LHUMnKH29Kq(H>^iOrfeh5E;DEX1=Cxu6wI{u;-yS+xG?>MtR<)o@t&p
z-fRB#{Byx2I;BfQG2*eikoQm)ub3z9k`586WPfTfaGBqUjHr}3O%d_-j?dyd3TK6f
zh|QnDHw}#S5B2NeXL*HhEc6my@Z-TbaDbQihQbhG9uUM&g8gJEMgS>&BW9p(kKkK;
z4_qCcrALTx9Sj5)miQJty=SFgrB`6*2}lLd3xA5wfiO=38NVrLpSJ;NUMY?gABe1^
zM{L?OL?^UY{6UMr!I}y=EMgMbJFJTxsy(PBxc1y?U{~G4Inp>V=k{WTf>pkP@)`A9
z8VbMR5@@XLh;i@9{}o6@eDFYD3}Q-;`HFlO{c{6dQTA;99$$su2mSbGpc6k5s3<=I
zG2$KO!8uZ#^Z`-A--7q139#DQV+K=_JBgc8Rq2elLR^DLkyP=m_^<e__(JF`JV#Vn
zIA4yR45_sgzK0LpD50NF7yg>Zg|gU*t_OaZ2w<#k087w3Aciz1;<2wZjd(?jAjgnT
ziNVAZFbODeBEJOq_#1(7(_T^`mb({p(sdyjkRmn2eDN4igq(<~2SW^I*2Z8Xn1NGR
zAl@SOb2W{*1iadrh?k53``i(5GUX$->N}u}GKx4v0S-_Y5dZofsM(XKNa_;S9a_>)
zq#|l|72+MA0~<I^Jcjs}*}#SG0R9eI6ws;!@Rkk0jIRvab1u+_o}kwE5m&KGTqXW2
z&IISu3h@`bUxaUGfuE|6*h3rvrjK8-Rz8l^@(yvKI0LBaqrrGL2X`$52F@yRy|_i(
zCteWmi62F~s6%Yg_pmDFNh?wRpMf7U6MbYi@Z3*<$LS=naVARRq(t1Y7QN>oP)`Ny
z6$s$S=|uEI)bxHt;yppUp&NS!ejs{e1I5-2>(fDafwfHm^FIa5C7;lad5A>|5ENqW
zLhzzV1uh4^OF~QBMFjB)L~v~eo=YNFBij-1$t7w71Ed@gMT8OtLV-L3KsQK}Qh>aj
z4&;q@U`2WhZo<E%<GB7rY5zi>e~$kB3cCI^X1$}(_KQ%T89+o>h59YT2<aoWK>T@2
zsk<})^_q@)%|YFNl77IqN0G)ojFq=wlF9=Mk^?O+<6!WJyDE#)G)3R3N>l^8M_1q~
ztOqjv3)ISjT03x78I5SIhG3}~i<s+CKqP2{Pt=IoEg~dHLL{7!iX9QQIYbtovf;B3
zvOM_>II-H`-UehmS(&Us)+TG=6tON@iR5tiBSfn&0*^>Ppr$l|By6bd5|o}nl-f<S
z;{vp89g!D40>$Z|uof8YgM}{W`3u1@a32f?hrn5V9Dd86g)p(c*ahc%voU%up&#Xf
zMLh;%Y%*k*1wMu9L__q%o`_AofN1!5a91t|R_l543D!<#GC<Y`US$dusc3<|+(Hql
z2t_pS5S+XX!QN08tT~-P!q`F0L42%_Jd5bVVHmTwU~N>x==v3$4eg}>G|O+|aIhee
zq7|nrg+i|I3S~Pj+!T_8_h1XLg1xmY>eC7_vExzJPUz7;fDd4*IA7d^e*1&?9eVg6
zaTJhBIwPeYF$%_`-}i;qO2i#E#Y`|YxWo`C9P6NPsVz7{ra)dN(M#T<6|13!-=XF9
zp}+Dtp>066LR@t}awj652Z7VG3u2QKfEsX_PNS=VEp8qV7w-dM{t{-;dhkbRh&`pB
z5X){rgk=ZHgIL1_XmbI*cPCnihkX$$-4Qo~FJd9uW&_4^A6Pbbp~nvj`_KmU!PwIs
zBXS+S8IG$zM(si%lKhEL+)FGcY7mF>C)#T!c*^QvF54=MNA!A#a381wM`0f<5Kal#
zz^QUg_zNq8cyWw)6*XpX>e&f+3h%())f&5alTeyBKz*75R<%N)(WtRky^?x~D6FBd
z`kMd~A{up=fHqtWFSgcLcmIQk-J?JVsS2(10@C>lykx7078r%!qd!b0hU03DUASC~
zzYwAhX5o)OI6DCT#NN_CU{%zV3ZWs3z&v<ayeRGlpT<maF(j}Tk{F2Anui)Eq7B!f
zu77~*{<-KBebC<vQ14sfGx09)tDcF;VzKxRxG%RcdtHULdnHyzy;^{a{X4`y4#L<C
zYN;L2LoZO*Mud`hDm?(soDcKFXkrjFQYVzT12ptuVhPa&ZE^^l90W!oN&XA;p_gd$
zE<l^;3P!p-FeJVtT7Y}4JM@qXn1WU?46Vd0aRj>PS6qjQ-NX<?mO61ND`L(xfIlD;
zcJ@B>se#ZPL!?GHZ5Dt})e?4Db+p1Gv|<`oZT->HQ^5Ig6SesTy7q5zn|K!bcqjb2
zC*b+TK)j5{4D&+ti-#l{<C@0YoPu0J5lhzsQeTNycnv+84_xxUfFH3BWo?IX^$Dye
za*Gy_HjK!*h{xWH==xQ7U4g~Bhnf$>jA`&uOaubNVMLsF21-H#l?&diKjF32l#GJj
zeGgW(4zPzONcE+3aV2m~{K7GC`85z&M4=z#Ct?5ldEk2B1+avSJi#~M^MSsY88Bm>
z9s)G~Y%pci7lxxpKNVcyK5c~>J{B8dMez)%B_Xggek5+eUfY7G>LKWN^%TEgeHV|l
z^+&okBG5~KB=(JJx#|x1Vw$VJQ%_KTiyg?`*r%HWbgD+`F{(y%0+Gj;0hZ4X{+<5s
z155m!eJwqIy7OJb-O--Qo~_<1;H?Q4#)vP)LiD0U;Q1UT=27ht!%PC7WxC=b)so61
zv%s=63=Dnp2z@I##hF4QzG0wj;Fmxv{x^OVZw2G#Trg1m0sFZiuoJfCd7(Y#&Q$ci
zUC=vc!Jan~7=KpsHrX5~Qlp@SXA$X`x4oFP@}c>Yzy}~mV_`3iz`S?@tL?62A;zEq
z*sQHf*=DMOSLqP+XBFV<yhaP|A|C_)dM$j39wD~yIpzT!nDDw_<~W2I<^s4N?cm4l
zi*?H$VDY^M2Q*DY6FT@&J(oPdw0D6AD1_VyO-4ZDd`sNMY;p-0P5lT8$j;|r!3>o&
zz%}WBes)(ngW3C|I1xJXiZ~E6`YDW7PKrTkw}aQ@mGl^M<_oDAO6rBy-%eB_JdzSK
z&Mo}+4zb2H!K>(&qJTB)#7H}j*(U=#4%5*;`x32)GT3{Vf%W7I?Dw6<Z1@_raRcKk
zyi}`RAvM5x><KKMs(8(Z&)qTf(v3ifScd+216YvXP;ap&lIP4&oY(vc=EG=WJH~l`
z%*HjPY@kt16*JK{mm;$CCtx^S7QA3F^a^)`qrz)oV1$4HZW1h;Ubw!6W=+KGwi7-2
z5Jp_G2-G3y|GCmu%;|YjC3q{&Mk&t&t1%5P2J4V`%m6<FCG-wBz?2jV%d8%70JdQF
z^dt7R;cx)Fl9tev;}y#l$AJdW4pHQ1!ASKPD5H0&cR*X2LY*Z9uymvaY6pfRCVoyp
zfTjM$$AamuNgy38x-a=3h5h0gX)L5BfB~W|?DVdXlAb(B+y%l#gm@78zAkoi_5*R`
zCZa&B{4Zdqxr<fV3H~5rJKLf~>!U@jVgqRtG=w}uXJH-j8TL{$=;Zsb$=ad?$|B;w
z0-}vyVs<MBOj;Im@pzPQ2GCvC0Lx)8kgcLHZ|%Tda4f9Sr|5%UfY&k~<75qG21e2p
zAVH0yu0v1c17WEjIS~@-0j9}u;&|aB7@5rc1XvXvA?JxAC0-K73ZsP^ICHrQtf^>N
z(rt-h(r&~#yMzhAnrVu4e?Q=O^bwB;wXn|kNibnt4ae@}KY0C$KG;keh5p(F^{IhT
z>cYO&b!ep;;7pnfZE^@qYG&yMEVn7JLVG}N52fkoVWY5iJcYS;Ey_NM+y_kUx>Q?u
z=MmIzu(&3}l9ACIn_#r|z?`)cJxMEtNoyb{KahSFVNUp)xK8{Fi2<1tcqf}-<J?3a
z1aA>`5e49bR0JyV4V0l4uJT~%rKDoaZ$?;>*I*I4F$+9^%tegMB-j?)a9u=6y%=pZ
zrPG+vccZPEm*QwngJrn~b-0OMxEmHJ4GZfhtU_vnlV~sMxDz~nYV61KAQIqD8%~4(
z%b+ZN^C*W4<NYz}{7NcB$u+Q~5>TrKKrE{P2G?Q0PF{g=KN4(ZR^TTuh2$2a9O;q~
zpQJ-4g-HbTQWvbK5}+MI2ofkcg{A3qg{@Z&sTh&ZYuLXE=>%rnFxbjjQW;>PrNWXK
zh;>1AtO9?B9oz{vz$BDzH6(crvv(|N^%j~w3~XG#VFxZ!azFzQ!Dp>eqE)DkjyQ*Q
zTZ6O2=U6S&g083l{ged6t}3vRnxdr7u@4gu`#u}C*%fG^V%*ml_YH&ASxW4{`N1UM
zz&K#*--29ENe5BKi;#sMl5wJzm$6ct2Sic}+PV@-B1&IME%s<gs1YO;jWa(Tp~p)1
z6|~|W-2VZRE=RcWZXvYd&-kl?j_!qiG7eT@1;P&9mIMiuhvhI5Whp}W>%h`h$Y_(u
z{Q*k38oH?rQ2crHhOQ`+Q>uzNp*?ad#(NVn5G-H^QTh=m0}sg`MgMq$9%DjHtH3)d
z1OKI?=hTFZreL0&33lNL$h{FFv7<3-kZ6A=N_-4yA4iW(#+vvcYIz1yVu7YIomh)!
zdZMrN$7=Qv){lF^Mw<wv6)iY@4+D{KC$!y1pxeEK{!c_1r@>CUht*Ocm_}Zqenps3
z-r^1|`cenz5Ba%^7?HWyA*q5sQ4d!FB+3x^$n%~gNyA||?IXrOcB$yI^U+Iw!rG}9
zH0wpArpD^bDLuv9FJO;rDdvz}DA`Q(m><x7X~=ysFv|acY~5hz-H+ZjRa%D;;g)Kn
z-lNfnuMuydk)MLWWChy(5O9#?_26F2FnZvdXX43xT<_6io|LZnUc*u<#z=~XoirIN
zY}J6e`wAlrd*|5I$bi&uKzD3_EKZ<z+c6#*qo(m#K|aAM@dWNIi}5fRt2qYPbeph?
zv|PG?r#M(%BT6k@9Y*I_^tsoN$@h@%H?YnQzyfW9`Q#Mp91SaTI9j0+`b-L*bV-dc
zs&}HyOOQqp`tuz~BpGYRc;qt){i_4&l7bSx$CxgIomknT?gf3>2vRk`j@6>|6R<nm
z9~Nw7j1((uS{+)W7bG+otIaleuR)8vM#^{4mSr%4%M&i>hhvcKCCuR|(3U0OJBx)C
z5f7`C!c0zMwb~zRu$9m_laN+Tj0h2TWk610sDDT35?L-8C~F?ZUrn^gP}tEekv5C|
zOQ1K(={3N;Ezz1`7>{pCTfq$(Hb?mzLtC-vwJP*&9cp2KEn68aQWkakf;+)m4C|p5
zQjUd<>xArbF~SP4vKA!+N>>|e2_CJRgE|q=TeTpOwkSn+<W~U}PG0Hf;n3;wYNQDy
z9)fzMqYabM2STAQ`k`J;k)NEpvs8E2N2%)J33)uRc*S7F@-14cC!|;hl2IUCxvw`t
z9!-#AMbt~)T~MJcRUp^qxJ!@J3Q=|qK52*Yw8v+$sG|fe?}wC)uzli@M=11533N~Z
zcSfQuqwo#3{!tpxL*O@ES^^WEBw<N?M#*y_13O+{N_$RH>A29M{EeV>dg1B;om3BL
zx4?U_JYy8JhCJn*t!SeXoDzj2pX!ik4C-M+c{GqzOW00>ac>8tQx+}3LQYj7$${uU
z1JHjfp-fiP$bmi)hn8%KHZ6zt;!#IGdRleVa0vS8F!aqj$U*Ksa-CvO>rm9fi#GZI
zslUP)vjD3+6!njSY>kke3DVNzoe{E)#BaG&S?K9W7_G^rzdz#t9Mn7qqd6O;aHFlY
z$fYd$Sw;K~h5UVJJv&Mx&#GFa8HavU31uvY7N~~WCZMg`p#_^_Bt)P#9`vFwD3vS$
zz!70wS<oXu_k#Z^q+mo@%HWEIBsA#t0q7@?Wn)}{gdTrsw2uZCgR;vKt$><_<0%F$
zB}=6UW&VUZzk%M7_26x2<7a5I49xTvv_%PW_CY%mkd6}1$R%*$vjWufOX=>B9rbkK
z&O%(pkUWnbCQHnK(y1V&0Lp|wTl|pnFO<=bC)}ka4IpJXUHL9wX}TpSQ33KU!Yc<k
z$ov(VrE<+j`WB?`M!kF}g#%?XmwskLc}hxUQVdDSBQFb2=HfErl2en*R)X{avw-L2
zS{0z|xwu>YR+eW0o=HbbzQOA=S}z~>$db;-=b5FcnemAgmz<Y8z5x$`(q-dGxz>)-
zREv>M0WLW=YiT>X(B3xOFaK}DT`pW+yd3z}ioE3#<RF#o(lV!_CEnwb8Q$f(%OmM?
z>GyJtvP$pD$5Tb6@{#pP7Vi3lEBimSlvB(ueNvWM0rHi5n;m78OPqnv%*a<Rtt{UR
zq@PxrgFIU0R*|JDry%cvI8jnRUJjJpQYynjJeBv~R`)=fa$Cq&oZLf5j9w91gF<`q
zcv9{avaIE2<Z%&{wp{jNr02%HFlI3(KpzLagl&HG2|34LKX)Quxdmi7I+0c|AF;G|
z%X_o(bMlXXXY9yDE}NV~5uTFswct}(*0LofmrjAw$)%F}nWgj|8}2GDm1IGwWaa)+
zgwNci&&W^6<&(9WoR<=poCfH>@x2#i{l7gM&JY+=I55Dag=R8fyvgsh&`~VLADCQA
zQ<M9DP*(D22&N^ESvg$^vXgUCl+H6>Q<Aj~13jz6^YV`@UkQ2pF$Uat$>UMB*1y(N
z9&7SFD&#Bct5E2!aA>g@T+#R&j!%sLDV?UYZgRSEnSwvE#*k|uk6;5dR7B|&iRZ#f
zQ<8t1@U0OV=j&%tNI4FdtcheDQxRHC)@Rl5yAu8@5A7ENO(o|o?{dp^k|iVOBU`U>
zU4!pr&0$3PvbN<)B^T6Rn$q`b)Jg?O(4`tpenzgL2_=!!m1`O-ot(;7`OD9%AU_rU
z23zBQwF@cL<q@Uz3P<^Zbqy;`DJVDjlSo{0{p7mIHH<5jr7TTZrZJGIe20AJ*D{2c
zJ{9p_`2=&2Q<6UmLFs}rkV~&eErPX|dy0I?y-1dje92Ogdr|N+xvsK&<R|1y{vI$s
zrI#$x;C;dWWf_G0=ew`%6;djzpv2^K<n|4=b1<)93UXd@uEGBMHLqZf@@HRLOD<dR
zeXtJl`>!dm=tZ*JgO@ypg4fsflgE@iw&b>?|I<Ff@8tHCt%|Rgy0q`Bk(&HYZpp9j
zg7?dxe$7c9qw@2?KB7R%@@NX?MU{?<uf6>L|NFn*ADpA)dxJmnNRr>nF97u83XXgE
zw+~}b)+e$yko91oRCCGNP}UH^Z{)vUFK_8+m465Cm*?o<v+_s|j%E3;JV(gd&t9te
zWP308t^AZc-sR{0|0#z&69(t{;CFH=!TVhQNhz3~oaWcGgR_qvT3yZ|n2-Eh)`#*e
zCF@%`|KJsTCu?BYatYooKPTTGyn@dJKMAJ#^&5GPlfRYckD$(#b+hHaPs-l}%kZ@n
zUvrhuq~!O(Z{>XDOD@;fE2#B?wUX;7-~Yc-2k-w{NBMdAIavz-yS~aiDAVA7!B&tz
Kk^ld{*Z%{#GhGt^

literal 0
HcmV?d00001

diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/cpu_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/cpu_report.json
new file mode 100644
index 000000000..2cd82301d
--- /dev/null
+++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/cpu_report.json
@@ -0,0 +1,153 @@
+{
+  "scope": "MiniCPM-o GGUF complete audio+image\u2192text+speech through Omni StageRuntime/StagePool",
+  "placement": "cpu",
+  "model_revision": "db25077c33951fe163b42986fba0132e279872a2",
+  "artifact_sha256": {
+    "MiniCPM-o-4_5-Q4_K_M.gguf": "1237a97ee081b8abebc47aa7dad565701e8f5f904cdc92f6723ac4281bbc0932",
+    "audio/MiniCPM-o-4_5-audio-F16.gguf": "d5b188ac7feaf98e17175c3f9bd14bf269301bfd187439fdaa3e3a494fc32ef7",
+    "vision/MiniCPM-o-4_5-vision-F16.gguf": "1453678cc4e4fe18de241952962e234f265cb8dda780773526103ab8ba82f421",
+    "tts/MiniCPM-o-4_5-tts-F16.gguf": "c7be3748a863dd6966ae7eed42600b7f41ca67affb03729ff245247f0e5ea088",
+    "tts/MiniCPM-o-4_5-projector-F16.gguf": "4b1b5b377358a5e594a304ff6ea5d52df606a9ba7d886c4299d232f0c67dd1fd",
+    "token2wav-gguf/encoder.gguf": "7f8d265da594eaf5e1de2db8f5f1867dbcb0bb75ef5878fadf2952347116f4d0",
+    "token2wav-gguf/flow_matching.gguf": "eda6069f3edeb5dd3a87fbf2aedb2ddd1b46f3273926c4fcf09b24476a39cab8",
+    "token2wav-gguf/flow_extra.gguf": "c67611aa7d02500fe395a7798bf0bfdfb55c74d37ba93934ca74d82b4e63f78d",
+    "token2wav-gguf/hifigan2.gguf": "1b8b3bf5d8d3066aeee4324fdcdd41aefce170d0ee907645858de408d82835c2",
+    "token2wav-gguf/prompt_cache.gguf": "81fe6f541ebe0b67db06a1e395df928da47991dc9637c2cf47d6c59d5b979f2c"
+  },
+  "cli_sha256": "29247187ddf3b13591cd14cc070e5e25c6bb7547296acc5e8a74e2945811d725",
+  "reference_sha256": "cf4bb5cd9acbfbf67596d4a53310652b61ef4b7ede1d54eb03ef4882ca40223a",
+  "input_sha256": {
+    "audio_wav": "14ee147cbf2ce9afd9e32c8c8228d7cfe11985cd7e63456b2ad33871492aefcc",
+    "image_jpeg": "22c7ccea466a3f551c512045e6316c7597408d4e0a20205502f55784d977aa8d"
+  },
+  "memory_budget": {
+    "capacities": {
+      "host_ram": 32212254720
+    },
+    "demands": {
+      "host_ram": 25769803776
+    }
+  },
+  "profile_count": 1,
+  "warmup_count": 0,
+  "startup_s": 6.932118400000036,
+  "execution_plan_at_start": {
+    "backend": "external.minicpmo.gguf.v1",
+    "stage_id": 0,
+    "worker_generation": "506f17f8d6044e468f18ff8a6bee5466",
+    "model_revision": "db25077c33951fe163b42986fba0132e279872a2",
+    "artifact_sha256": {
+      "MiniCPM-o-4_5-Q4_K_M.gguf": "1237a97ee081b8abebc47aa7dad565701e8f5f904cdc92f6723ac4281bbc0932",
+      "audio/MiniCPM-o-4_5-audio-F16.gguf": "d5b188ac7feaf98e17175c3f9bd14bf269301bfd187439fdaa3e3a494fc32ef7",
+      "vision/MiniCPM-o-4_5-vision-F16.gguf": "1453678cc4e4fe18de241952962e234f265cb8dda780773526103ab8ba82f421",
+      "tts/MiniCPM-o-4_5-tts-F16.gguf": "c7be3748a863dd6966ae7eed42600b7f41ca67affb03729ff245247f0e5ea088",
+      "tts/MiniCPM-o-4_5-projector-F16.gguf": "4b1b5b377358a5e594a304ff6ea5d52df606a9ba7d886c4299d232f0c67dd1fd",
+      "token2wav-gguf/encoder.gguf": "7f8d265da594eaf5e1de2db8f5f1867dbcb0bb75ef5878fadf2952347116f4d0",
+      "token2wav-gguf/flow_matching.gguf": "eda6069f3edeb5dd3a87fbf2aedb2ddd1b46f3273926c4fcf09b24476a39cab8",
+      "token2wav-gguf/flow_extra.gguf": "c67611aa7d02500fe395a7798bf0bfdfb55c74d37ba93934ca74d82b4e63f78d",
+      "token2wav-gguf/hifigan2.gguf": "1b8b3bf5d8d3066aeee4324fdcdd41aefce170d0ee907645858de408d82835c2",
+      "token2wav-gguf/prompt_cache.gguf": "81fe6f541ebe0b67db06a1e395df928da47991dc9637c2cf47d6c59d5b979f2c"
+    },
+    "cli_sha256": "29247187ddf3b13591cd14cc070e5e25c6bb7547296acc5e8a74e2945811d725",
+    "requested_placement": "cpu",
+    "ggml_vk_visible_devices": null,
+    "shared_ram_reservation": {
+      "host_ram": 25769803776
+    },
+    "weights_bytes": 8872297088,
+    "memory_overhead_bytes": 12884901888,
+    "context_tokens": 2048,
+    "max_new_tokens": 96,
+    "request_capacity": 1,
+    "stateful_session": "C++-owned within one request; discarded after completion",
+    "placement_evidence": "pending first request"
+  },
+  "complete_request": {
+    "text": "The square in the image is red.",
+    "wall_s": 24.338328399928287,
+    "audio_metadata": {
+      "sample_rate_hz": 24000,
+      "channels": 1,
+      "pcm_frames": 53760,
+      "duration_s": 2.24,
+      "pcm_sha256": "e4366dbc55177d11b2a8902c07685fcff2d3412abfaa3feb85b095672484f141"
+    },
+    "stage_event": {
+      "request_id": "minicpmo-1",
+      "stage_id": 0,
+      "epoch": 1,
+      "seq": 1,
+      "kind": "audio",
+      "worker_generation": "506f17f8d6044e468f18ff8a6bee5466",
+      "buffers": [],
+      "terminal": true,
+      "error": null
+    },
+    "metrics": {
+      "minicpmo_whole_request_wall_s": 24.305023799999617,
+      "peak_sampled_rss_bytes": 13107023872,
+      "worker_log": "C:\\Users\\zhout\\w2\\minicpmo_omni_logs_cpu\\minicpmo-1-478e965280734397918e5b3687e11006.log"
+    }
+  },
+  "output_wav": "\\\\wsl.localhost\\Ubuntu\\home\\zhout\\project\\edge_infer\\vllm-omni-edge\\benchmarks\\edge_harness\\results\\e2e_expansion_20260923\\evidence\\minicpmo_omni_cpp\\cpu_output.wav",
+  "execution_plan_after_request": {
+    "backend": "external.minicpmo.gguf.v1",
+    "stage_id": 0,
+    "worker_generation": "506f17f8d6044e468f18ff8a6bee5466",
+    "model_revision": "db25077c33951fe163b42986fba0132e279872a2",
+    "artifact_sha256": {
+      "MiniCPM-o-4_5-Q4_K_M.gguf": "1237a97ee081b8abebc47aa7dad565701e8f5f904cdc92f6723ac4281bbc0932",
+      "audio/MiniCPM-o-4_5-audio-F16.gguf": "d5b188ac7feaf98e17175c3f9bd14bf269301bfd187439fdaa3e3a494fc32ef7",
+      "vision/MiniCPM-o-4_5-vision-F16.gguf": "1453678cc4e4fe18de241952962e234f265cb8dda780773526103ab8ba82f421",
+      "tts/MiniCPM-o-4_5-tts-F16.gguf": "c7be3748a863dd6966ae7eed42600b7f41ca67affb03729ff245247f0e5ea088",
+      "tts/MiniCPM-o-4_5-projector-F16.gguf": "4b1b5b377358a5e594a304ff6ea5d52df606a9ba7d886c4299d232f0c67dd1fd",
+      "token2wav-gguf/encoder.gguf": "7f8d265da594eaf5e1de2db8f5f1867dbcb0bb75ef5878fadf2952347116f4d0",
+      "token2wav-gguf/flow_matching.gguf": "eda6069f3edeb5dd3a87fbf2aedb2ddd1b46f3273926c4fcf09b24476a39cab8",
+      "token2wav-gguf/flow_extra.gguf": "c67611aa7d02500fe395a7798bf0bfdfb55c74d37ba93934ca74d82b4e63f78d",
+      "token2wav-gguf/hifigan2.gguf": "1b8b3bf5d8d3066aeee4324fdcdd41aefce170d0ee907645858de408d82835c2",
+      "token2wav-gguf/prompt_cache.gguf": "81fe6f541ebe0b67db06a1e395df928da47991dc9637c2cf47d6c59d5b979f2c"
+    },
+    "cli_sha256": "29247187ddf3b13591cd14cc070e5e25c6bb7547296acc5e8a74e2945811d725",
+    "requested_placement": "cpu",
+    "ggml_vk_visible_devices": null,
+    "shared_ram_reservation": {
+      "host_ram": 25769803776
+    },
+    "weights_bytes": 8872297088,
+    "memory_overhead_bytes": 12884901888,
+    "context_tokens": 2048,
+    "max_new_tokens": 96,
+    "request_capacity": 1,
+    "stateful_session": "C++-owned within one request; discarded after completion",
+    "placement_evidence": {
+      "observed": "cpu",
+      "worker_pid": 66164,
+      "peak_sampled_rss_bytes": 13107023872,
+      "worker_log": "C:\\Users\\zhout\\w2\\minicpmo_omni_logs_cpu\\minicpmo-1-478e965280734397918e5b3687e11006.log"
+    }
+  },
+  "abort_check": {
+    "stale_output": false,
+    "ledger": {
+      "capacities": {
+        "host_ram": 32212254720
+      },
+      "reserved": {
+        "host_ram": 0
+      },
+      "owners": [],
+      "quarantined": []
+    }
+  },
+  "status": "passed",
+  "ledger_after_shutdown": {
+    "capacities": {
+      "host_ram": 32212254720
+    },
+    "reserved": {
+      "host_ram": 0
+    },
+    "owners": [],
+    "quarantined": []
+  }
+}
diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/llama_cpp_omni_bounded.patch b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/llama_cpp_omni_bounded.patch
new file mode 100644
index 000000000..a52ad2d80
--- /dev/null
+++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/llama_cpp_omni_bounded.patch
@@ -0,0 +1,156 @@
+diff --git a/tools/omni/omni-cli.cpp b/tools/omni/omni-cli.cpp
+index 2e9623a..2b657a8 100644
+--- a/tools/omni/omni-cli.cpp
++++ b/tools/omni/omni-cli.cpp
+@@ -11,6 +11,7 @@
+ 
+ #include <iostream>
+ #include <chrono>
++#include <thread>
+ #include <vector>
+ #include <limits.h>
+ #include <cinttypes>
+@@ -60,7 +61,10 @@ static void show_usage(const char * prog_name) {
+         "  --projector <path>  Override projector model path\n"
+         "  --ref-audio <path>  Reference audio for voice cloning (default: tools/omni/assets/default_ref_audio/default_ref_audio.wav)\n"
+         "  -c, --ctx-size <n>  Context size (default: 4096)\n"
++        "  --max-new-tokens <n> Bound language generation to n tokens (default: context size)\n"
+         "  -ngl <n>            Number of GPU layers (default: 99)\n"
++        "  --t2w-device <mode> Token2Wav device: cpu or gpu:<index> (default: gpu:0)\n"
++        "  --t2w-wait-seconds <n> Fail if async audio is incomplete after n seconds (default: 120)\n"
+         "  --no-tts            Disable TTS output\n"
+         "  --omni              Enable omni mode (audio + vision, media_type=2)\n"
+         "  --vision-backend <mode>  Vision compute backend: 'metal' (default) or 'coreml' (ANE)\n"
+@@ -208,7 +212,10 @@ int main(int argc, char ** argv) {
+     std::string vision_coreml_model_path;  // CoreML model path (required when vision_backend=coreml)
+     std::string ref_audio_path = "tools/omni/assets/default_ref_audio/default_ref_audio.wav";
+     int n_ctx = 4096;
++    int max_new_tokens = -1;
+     int n_gpu_layers = 99;  // GPU 层数，默认 99
++    std::string token2wav_device = "gpu:0";
++    int token2wav_wait_seconds = 120;
+     int media_type = 1;     // 1=audio only, 2=omni (audio+vision)
+     bool use_tts = true;
+     bool run_test = false;
+@@ -244,9 +251,30 @@ int main(int argc, char ** argv) {
+         else if ((arg == "-c" || arg == "--ctx-size") && i + 1 < argc) {
+             n_ctx = std::atoi(argv[++i]);
+         }
++        else if (arg == "--max-new-tokens" && i + 1 < argc) {
++            max_new_tokens = std::atoi(argv[++i]);
++            if (max_new_tokens < 1 || max_new_tokens >= n_ctx) {
++                fprintf(stderr, "Error: --max-new-tokens must be 1..ctx-size-1\n");
++                return 1;
++            }
++        }
+         else if (arg == "-ngl" && i + 1 < argc) {
+             n_gpu_layers = std::atoi(argv[++i]);
+         }
++        else if (arg == "--t2w-device" && i + 1 < argc) {
++            token2wav_device = argv[++i];
++            if (token2wav_device != "cpu" && token2wav_device.rfind("gpu:", 0) != 0) {
++                fprintf(stderr, "Error: --t2w-device must be cpu or gpu:<index>\n");
++                return 1;
++            }
++        }
++        else if (arg == "--t2w-wait-seconds" && i + 1 < argc) {
++            token2wav_wait_seconds = std::atoi(argv[++i]);
++            if (token2wav_wait_seconds < 1 || token2wav_wait_seconds > 3600) {
++                fprintf(stderr, "Error: --t2w-wait-seconds must be 1..3600\n");
++                return 1;
++            }
++        }
+         else if (arg == "--no-tts") {
+             use_tts = false;
+         }
+@@ -276,6 +304,10 @@ int main(int argc, char ** argv) {
+     }
+     
+     // 检查必需参数
++    if (max_new_tokens >= n_ctx) {
++        fprintf(stderr, "Error: --max-new-tokens must be below ctx-size\n");
++        return 1;
++    }
+     if (llm_path.empty()) {
+         fprintf(stderr, "Error: -m <llm_model_path> is required\n\n");
+         show_usage(argv[0]);
+@@ -322,6 +354,9 @@ int main(int argc, char ** argv) {
+         params.vision_coreml_model_path = vision_coreml_model_path;
+     }
+     params.n_ctx = n_ctx;
++    if (max_new_tokens > 0) {
++        params.n_predict = max_new_tokens;
++    }
+     params.n_gpu_layers = n_gpu_layers;
+     
+     // Projector 路径需要通过 tts_bin_dir 传递
+@@ -339,6 +374,7 @@ int main(int argc, char ** argv) {
+     printf("  TTS enabled: %s\n", use_tts ? "yes" : "no");
+     printf("  Context size: %d\n", n_ctx);
+     printf("  GPU layers: %d\n", n_gpu_layers);
++    printf("  Token2Wav device: %s\n", token2wav_device.c_str());
+     printf("  Vision backend: %s\n", vision_backend.c_str());
+     if (vision_backend == "coreml") {
+         printf("  Vision CoreML: %s\n", vision_coreml_model_path.c_str());
+@@ -347,7 +383,8 @@ int main(int argc, char ** argv) {
+     printf("  Ref audio: %s\n", ref_audio_path.c_str());
+     
+     // 🔧 Token2Wav 使用 GPU（Metal），已用 ggml_add+ggml_repeat 替代不支持的 ggml_add1
+-    auto ctx_omni = omni_init(&params, media_type, use_tts, tts_bin_dir, -1, "gpu:0");
++    auto ctx_omni = omni_init(&params, media_type, use_tts, tts_bin_dir,
++                              token2wav_device == "cpu" ? 0 : -1, token2wav_device);
+     if (ctx_omni == nullptr) {
+         fprintf(stderr, "Error: Failed to initialize omni context\n");
+         return 1;
+@@ -366,13 +403,19 @@ int main(int argc, char ** argv) {
+     }
+ 
+     // 等待 T2W 完成所有音频生成后再停止线程
++    bool audio_complete = true;
+     if(ctx_omni->async && ctx_omni->use_tts) {
+         std::string done_flag = std::string(ctx_omni->base_output_dir) + "/round_000/tts_wav/generation_done.flag";
+         fprintf(stderr, "Waiting for audio generation to complete...\n");
+-        for (int i = 0; i < 1200; ++i) {  // 最多等 120 秒
++        audio_complete = false;
++        for (int i = 0; i < token2wav_wait_seconds * 10; ++i) {
+             FILE * f = fopen(done_flag.c_str(), "r");
+-            if (f) { fclose(f); fprintf(stderr, "Audio generation completed.\n"); break; }
+-            usleep(100000);  // 100ms
++            if (f) { fclose(f); audio_complete = true; fprintf(stderr, "Audio generation completed.\n"); break; }
++            std::this_thread::sleep_for(std::chrono::milliseconds(100));
++        }
++        if (!audio_complete) {
++            fprintf(stderr, "Error: audio generation did not complete within %d seconds.\n",
++                    token2wav_wait_seconds);
+         }
+     }
+ 
+@@ -386,5 +429,8 @@ int main(int argc, char ** argv) {
+     llama_perf_context_print(ctx_omni->ctx_llama);
+ 
+     omni_free(ctx_omni);
++    if (!audio_complete) {
++        return 2;
++    }
+     return 0;
+ }
+diff --git a/tools/omni/omni.h b/tools/omni/omni.h
+index 145f515..b35c459 100644
+--- a/tools/omni/omni.h
++++ b/tools/omni/omni.h
+@@ -13,7 +13,7 @@
+ #include <atomic>
+ 
+ // Windows compatibility: pid_t is not defined on MSVC
+-#ifdef _WIN32
++#if defined(_WIN32) && !defined(__MINGW32__)
+     typedef int pid_t;
+ #endif
+ 
+@@ -485,4 +485,4 @@ void sliding_window_reset(struct omni_context * ctx_omni);
+ 
+ // ==================== 高清模式函数声明 ====================
+ // 设置 vision max_slice_nums 覆盖值，用于高清模式
+-void vision_set_max_slice_nums(struct vision_ctx * ctx_vision, int max_slice_nums);
+\ No newline at end of file
++void vision_set_max_slice_nums(struct vision_ctx * ctx_vision, int max_slice_nums);
diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_cpu/minicpmo-1-478e965280734397918e5b3687e11006.log b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_cpu/minicpmo-1-478e965280734397918e5b3687e11006.log
new file mode 100755
index 000000000..9b839c3fa
--- /dev/null
+++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_cpu/minicpmo-1-478e965280734397918e5b3687e11006.log
@@ -0,0 +1,469 @@
+build: 64 (5202b7b) with x86_64-w64-mingw32-gcc-posix (GCC) 13-posix for x86_64-w64-mingw32
+llama_model_loader: loaded meta data with 27 key-value pairs and 399 tensors from C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf\MiniCPM-o-4_5-Q4_K_M.gguf (version GGUF V3 (latest))
+llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
+llama_model_loader: - kv   0:                       general.architecture str              = qwen3
+llama_model_loader: - kv   1:                               general.type str              = model
+llama_model_loader: - kv   2:                               general.name str              = Llm
+llama_model_loader: - kv   3:                         general.size_label str              = 8.2B
+llama_model_loader: - kv   4:                          qwen3.block_count u32              = 36
+llama_model_loader: - kv   5:                       qwen3.context_length u32              = 40960
+llama_model_loader: - kv   6:                     qwen3.embedding_length u32              = 4096
+llama_model_loader: - kv   7:                  qwen3.feed_forward_length u32              = 12288
+llama_model_loader: - kv   8:                 qwen3.attention.head_count u32              = 32
+llama_model_loader: - kv   9:              qwen3.attention.head_count_kv u32              = 8
+llama_model_loader: - kv  10:                       qwen3.rope.freq_base f32              = 1000000.000000
+llama_model_loader: - kv  11:     qwen3.attention.layer_norm_rms_epsilon f32              = 0.000001
+llama_model_loader: - kv  12:                 qwen3.attention.key_length u32              = 128
+llama_model_loader: - kv  13:               qwen3.attention.value_length u32              = 128
+llama_model_loader: - kv  14:                       tokenizer.ggml.model str              = gpt2
+llama_model_loader: - kv  15:                         tokenizer.ggml.pre str              = qwen2
+llama_model_loader: - kv  16:                      tokenizer.ggml.tokens arr[str,151748]  = ["!", "\"", "#", "$", "%", "&", "'", ...
+llama_model_loader: - kv  17:                  tokenizer.ggml.token_type arr[i32,151748]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
+llama_model_loader: - kv  18:                      tokenizer.ggml.merges arr[str,151387]  = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
+llama_model_loader: - kv  19:                tokenizer.ggml.bos_token_id u32              = 151644
+llama_model_loader: - kv  20:                tokenizer.ggml.eos_token_id u32              = 151645
+llama_model_loader: - kv  21:            tokenizer.ggml.unknown_token_id u32              = 128244
+llama_model_loader: - kv  22:            tokenizer.ggml.padding_token_id u32              = 151643
+llama_model_loader: - kv  23:               tokenizer.ggml.add_bos_token bool             = false
+llama_model_loader: - kv  24:                    tokenizer.chat_template str              = {%- if tools %}\n    {{- '<|im_start|>...
+llama_model_loader: - kv  25:               general.quantization_version u32              = 2
+llama_model_loader: - kv  26:                          general.file_type u32              = 15
+llama_model_loader: - type  f32:  145 tensors
+llama_model_loader: - type q4_K:  217 tensors
+llama_model_loader: - type q6_K:   37 tensors
+print_info: file format = GGUF V3 (latest)
+print_info: file type   = Q4_K - Medium
+print_info: file size   = 4.68 GiB (4.90 BPW) 
+load: printing all EOG tokens:
+load:   - 151643 ('<|endoftext|>')
+load:   - 151645 ('<|im_end|>')
+load:   - 151662 ('<|fim_pad|>')
+load:   - 151663 ('<|repo_name|>')
+load:   - 151664 ('<|file_sep|>')
+load: special tokens cache size = 106
+load: token to piece cache size = 0.9319 MB
+print_info: arch             = qwen3
+print_info: vocab_only       = 0
+print_info: n_ctx_train      = 40960
+print_info: n_embd           = 4096
+print_info: n_layer          = 36
+print_info: n_head           = 32
+print_info: n_head_kv        = 8
+print_info: n_rot            = 128
+print_info: n_swa            = 0
+print_info: is_swa_any       = 0
+print_info: n_embd_head_k    = 128
+print_info: n_embd_head_v    = 128
+print_info: n_gqa            = 4
+print_info: n_embd_k_gqa     = 1024
+print_info: n_embd_v_gqa     = 1024
+print_info: f_norm_eps       = 0.0e+00
+print_info: f_norm_rms_eps   = 1.0e-06
+print_info: f_clamp_kqv      = 0.0e+00
+print_info: f_max_alibi_bias = 0.0e+00
+print_info: f_logit_scale    = 0.0e+00
+print_info: f_attn_scale     = 0.0e+00
+print_info: n_ff             = 12288
+print_info: n_expert         = 0
+print_info: n_expert_used    = 0
+print_info: causal attn      = 1
+print_info: pooling type     = -1
+print_info: rope type        = 2
+print_info: rope scaling     = linear
+print_info: freq_base_train  = 1000000.0
+print_info: freq_scale_train = 1
+print_info: n_ctx_orig_yarn  = 40960
+print_info: rope_finetuned   = unknown
+print_info: model type       = 8B
+print_info: model params     = 8.19 B
+print_info: general.name     = Llm
+print_info: vocab type       = BPE
+print_info: n_vocab          = 151748
+print_info: n_merges         = 151387
+print_info: BOS token        = 151644 '<|im_start|>'
+print_info: EOS token        = 151645 '<|im_end|>'
+print_info: EOT token        = 151645 '<|im_end|>'
+print_info: UNK token        = 128244 '<unk>'
+print_info: PAD token        = 151643 '<|endoftext|>'
+print_info: LF token         = 198 'Ċ'
+print_info: FIM PRE token    = 151659 '<|fim_prefix|>'
+print_info: FIM SUF token    = 151661 '<|fim_suffix|>'
+print_info: FIM MID token    = 151660 '<|fim_middle|>'
+print_info: FIM PAD token    = 151662 '<|fim_pad|>'
+print_info: FIM REP token    = 151663 '<|repo_name|>'
+print_info: FIM SEP token    = 151664 '<|file_sep|>'
+print_info: EOG token        = 151643 '<|endoftext|>'
+print_info: EOG token        = 151645 '<|im_end|>'
+print_info: EOG token        = 151662 '<|fim_pad|>'
+print_info: EOG token        = 151663 '<|repo_name|>'
+print_info: EOG token        = 151664 '<|file_sep|>'
+print_info: max token length = 256
+load_tensors: loading model tensors, this can take a while... (mmap = true)
+load_tensors:   CPU_REPACK model buffer size =  3199.50 MiB
+load_tensors:   CPU_Mapped model buffer size =  4761.17 MiB
+.....................................................................................
+llama_context: constructing llama_context
+llama_context: n_seq_max     = 1
+llama_context: n_ctx         = 2048
+llama_context: n_ctx_per_seq = 2048
+llama_context: n_batch       = 2048
+llama_context: n_ubatch      = 512
+llama_context: causal_attn   = 1
+llama_context: flash_attn    = auto
+llama_context: kv_unified    = false
+llama_context: freq_base     = 1000000.0
+llama_context: freq_scale    = 1
+llama_context: n_ctx_per_seq (2048) < n_ctx_train (40960) -- the full capacity of the model will not be utilized
+llama_context:        CPU  output buffer size =     0.58 MiB
+llama_kv_cache:        CPU KV buffer size =   288.00 MiB
+llama_kv_cache: size =  288.00 MiB (  2048 cells,  36 layers,  1/1 seqs), K (f16):  144.00 MiB, V (f16):  144.00 MiB
+llama_context: Flash Attention was auto, set to enabled
+llama_context:        CPU compute buffer size =   304.38 MiB
+llama_context: graph nodes  = 1267
+llama_context: graph splits = 1
+llama_model_loader: loaded meta data with 30 key-value pairs and 193 tensors from C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/tts/MiniCPM-o-4_5-tts-F16.gguf (version GGUF V3 (latest))
+llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
+llama_model_loader: - kv   0:                       general.architecture str              = llama
+llama_model_loader: - kv   1:                               general.type str              = model
+llama_model_loader: - kv   2:                               general.name str              = Tts
+llama_model_loader: - kv   3:                         general.size_label str              = 445M
+llama_model_loader: - kv   4:                          llama.block_count u32              = 20
+llama_model_loader: - kv   5:                       llama.context_length u32              = 4096
+llama_model_loader: - kv   6:                     llama.embedding_length u32              = 768
+llama_model_loader: - kv   7:                  llama.feed_forward_length u32              = 3072
+llama_model_loader: - kv   8:                 llama.attention.head_count u32              = 12
+llama_model_loader: - kv   9:              llama.attention.head_count_kv u32              = 12
+llama_model_loader: - kv  10:                       llama.rope.freq_base f32              = 10000.000000
+llama_model_loader: - kv  11:     llama.attention.layer_norm_rms_epsilon f32              = 0.000001
+llama_model_loader: - kv  12:                 llama.attention.key_length u32              = 64
+llama_model_loader: - kv  13:               llama.attention.value_length u32              = 64
+llama_model_loader: - kv  14:                          general.file_type u32              = 1
+llama_model_loader: - kv  15:                           llama.vocab_size u32              = 158626
+llama_model_loader: - kv  16:                 llama.rope.dimension_count u32              = 64
+llama_model_loader: - kv  17:               general.quantization_version u32              = 2
+llama_model_loader: - kv  18:                       tokenizer.ggml.model str              = gpt2
+llama_model_loader: - kv  19:                         tokenizer.ggml.pre str              = qwen2
+llama_model_loader: - kv  20:                      tokenizer.ggml.tokens arr[str,158626]  = ["!", "\"", "#", "$", "%", "&", "'", ...
+llama_model_loader: - kv  21:                  tokenizer.ggml.token_type arr[i32,158626]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
+llama_model_loader: - kv  22:                      tokenizer.ggml.merges arr[str,151387]  = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
+llama_model_loader: - kv  23:                tokenizer.ggml.bos_token_id u32              = 151644
+llama_model_loader: - kv  24:                tokenizer.ggml.eos_token_id u32              = 151645
+llama_model_loader: - kv  25:            tokenizer.ggml.unknown_token_id u32              = 128244
+llama_model_loader: - kv  26:            tokenizer.ggml.padding_token_id u32              = 151643
+llama_model_loader: - kv  27:               tokenizer.ggml.add_bos_token bool             = false
+llama_model_loader: - kv  28:                    tokenizer.chat_template str              = {%- if tools %}\n    {{- '<|im_start|>...
+llama_model_loader: - kv  29:            tokenizer.ggml.add_space_prefix bool             = false
+llama_model_loader: - type  f32:   50 tensors
+llama_model_loader: - type  f16:  143 tensors
+print_info: file format = GGUF V3 (latest)
+print_info: file type   = F16
+print_info: file size   = 1.07 GiB (20.70 BPW) 
+load: printing all EOG tokens:
+load:   - 151643 ('<|endoftext|>')
+load:   - 151645 ('<|im_end|>')
+load:   - 151662 ('<|fim_pad|>')
+load:   - 151663 ('<|repo_name|>')
+load:   - 151664 ('<|file_sep|>')
+load: special tokens cache size = 106
+load: token to piece cache size = 0.9319 MB
+print_info: arch             = llama
+print_info: vocab_only       = 0
+print_info: n_ctx_train      = 4096
+print_info: n_embd           = 768
+print_info: n_layer          = 20
+print_info: n_head           = 12
+print_info: n_head_kv        = 12
+print_info: n_rot            = 64
+print_info: n_swa            = 0
+print_info: is_swa_any       = 0
+print_info: n_embd_head_k    = 64
+print_info: n_embd_head_v    = 64
+print_info: n_gqa            = 1
+print_info: n_embd_k_gqa     = 768
+print_info: n_embd_v_gqa     = 768
+print_info: f_norm_eps       = 0.0e+00
+print_info: f_norm_rms_eps   = 1.0e-06
+print_info: f_clamp_kqv      = 0.0e+00
+print_info: f_max_alibi_bias = 0.0e+00
+print_info: f_logit_scale    = 0.0e+00
+print_info: f_attn_scale     = 0.0e+00
+print_info: n_ff             = 3072
+print_info: n_expert         = 0
+print_info: n_expert_used    = 0
+print_info: causal attn      = 1
+print_info: pooling type     = 0
+print_info: rope type        = 0
+print_info: rope scaling     = linear
+print_info: freq_base_train  = 10000.0
+print_info: freq_scale_train = 1
+print_info: n_ctx_orig_yarn  = 4096
+print_info: rope_finetuned   = unknown
+print_info: model type       = ?B
+print_info: model params     = 444.94 M
+print_info: general.name     = Tts
+print_info: vocab type       = BPE
+print_info: n_vocab          = 158626
+print_info: n_merges         = 151387
+print_info: BOS token        = 151644 '<|im_start|>'
+print_info: EOS token        = 151645 '<|im_end|>'
+print_info: EOT token        = 151645 '<|im_end|>'
+print_info: UNK token        = 128244 '<unk>'
+print_info: PAD token        = 151643 '<|endoftext|>'
+print_info: LF token         = 198 'Ċ'
+print_info: FIM PRE token    = 151659 '<|fim_prefix|>'
+print_info: FIM SUF token    = 151661 '<|fim_suffix|>'
+print_info: FIM MID token    = 151660 '<|fim_middle|>'
+print_info: FIM PAD token    = 151662 '<|fim_pad|>'
+print_info: FIM REP token    = 151663 '<|repo_name|>'
+print_info: FIM SEP token    = 151664 '<|file_sep|>'
+print_info: EOG token        = 151643 '<|endoftext|>'
+print_info: EOG token        = 151645 '<|im_end|>'
+print_info: EOG token        = 151662 '<|fim_pad|>'
+print_info: EOG token        = 151663 '<|repo_name|>'
+print_info: EOG token        = 151664 '<|file_sep|>'
+print_info: max token length = 256
+load_tensors: loading model tensors, this can take a while... (mmap = true)
+load_tensors: skipping TTS tensor emb_code.0.weight (size = 20158464 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor emb_text.weight (size = 467140608 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_semantic.linear1.weight (size = 12582912 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_semantic.linear1.bias (size = 3072 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_semantic.linear2.weight (size = 2359296 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_semantic.linear2.bias (size = 3072 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_spk.linear1.weight (size = 6291456 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_spk.linear1.bias (size = 3072 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_spk.linear2.weight (size = 1179648 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_spk.linear2.bias (size = 3072 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor head_code.0.weight (size = 20158464 bytes) -- will be loaded separately
+load_tensors:   CPU_Mapped model buffer size =   592.48 MiB
+..............................................................
+llama_init_from_model: model default pooling_type is [0], but [-1] was specified
+llama_context: constructing llama_context
+llama_context: n_seq_max     = 1
+llama_context: n_ctx         = 2048
+llama_context: n_ctx_per_seq = 2048
+llama_context: n_batch       = 2048
+llama_context: n_ubatch      = 512
+llama_context: causal_attn   = 1
+llama_context: flash_attn    = auto
+llama_context: kv_unified    = false
+llama_context: freq_base     = 10000.0
+llama_context: freq_scale    = 1
+llama_context: n_ctx_per_seq (2048) < n_ctx_train (4096) -- the full capacity of the model will not be utilized
+llama_context:        CPU  output buffer size =     0.61 MiB
+llama_kv_cache:        CPU KV buffer size =   120.00 MiB
+llama_kv_cache: size =  120.00 MiB (  2048 cells,  20 layers,  1/1 seqs), K (f16):   60.00 MiB, V (f16):   60.00 MiB
+llama_context: Flash Attention was auto, set to enabled
+llama_context:        CPU compute buffer size =    25.51 MiB
+llama_context: graph nodes  = 613
+llama_context: graph splits = 1
+vision_model_loader: model name:   
+vision_model_loader: description:  image encoder for MiniCPM-V
+vision_model_loader: GGUF version: 3
+vision_model_loader: alignment:    32
+vision_model_loader: n_tensors:    455
+vision_model_loader: n_kv:         20
+
+vision_ctx: vision using CPU backend
+load_hparams: model_type:         0
+load_hparams: n_embd:             1152
+load_hparams: n_head:             16
+load_hparams: n_ff:               4304
+load_hparams: n_layer:            27
+load_hparams: ffn_op:             gelu
+load_hparams: projection_dim:     0
+
+--- vision hparams ---
+load_hparams: image_size:         448
+load_hparams: patch_size:         14
+load_hparams: minicpmv_version:   100045
+load_hparams: proj_scale_factor:  0
+load_hparams: n_wa_pattern:       0
+
+load_hparams: model size:         1044.36 MiB
+load_hparams: metadata size:      0.16 MiB
+load_tensors: ffn up/down are swapped
+alloc_compute_meta:        CPU compute buffer size =   100.30 MiB
+init tts....init t2w....voc_hg2_model: CPU backend using 8 threads
+audition_audio_preprocess: Decoded audio - sample_rate=16000, n_samples=32000
+audition_get_mel_filters: Retrieved mel filters from model: 80 mel bins x 201 fft bins
+audition_audio_preprocess: Using mel filters - n_mel=80, n_fft=201
+audition_audio_preprocess: Generated 1 mel spectrogram chunk(s)
+audition_audio_preprocess: Mel spectrogram ready - n_len=200, n_mel=80, total_size=16000
+build_whisper: Whisper encoder graph built (projector output, pre-pooling)
+audition_audio_batch_encode: Audio input data - n_step=200, n_mel=80, total_elements=16000
+audition_audio_batch_encode: Before incrementing iter: input_frames=200, n_tokens=100, current_iter=0, current_total=0, new_total=100, max_tokens=1500
+audition_audio_batch_encode: KV cache iter incremented to 1 (total_tokens=100, max_tokens=1500)
+audition_audio_batch_encode: Final output shape: [4096, 20]
+audition_audio_batch_encode: Final output: 20 tokens x 4096 dims
+=== Model Paths ===
+  Base dir:   C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf
+  LLM:        C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf\MiniCPM-o-4_5-Q4_K_M.gguf [OK]
+  Vision:     C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/vision/MiniCPM-o-4_5-vision-F16.gguf [OK]
+  Audio:      C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/audio/MiniCPM-o-4_5-audio-F16.gguf [OK]
+  TTS:        C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/tts/MiniCPM-o-4_5-tts-F16.gguf [OK]
+  Projector:  C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/tts/MiniCPM-o-4_5-projector-F16.gguf [OK]
+===================
+=== Initializing Omni Context ===
+  Media type: 2 (omni: audio+vision)
+  TTS enabled: yes
+  Context size: 2048
+  GPU layers: 0
+  Token2Wav device: cpu
+  Vision backend: metal
+  TTS bin dir: C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/tts
+  Ref audio: C:\Users\zhout\w2\minicpmo_cpp_cpu_v3\fixture_0000.wav
+22:55:37.112 === omni_init start
+22:55:37.112 media_type = 2, duplex_mode = 0, base_output_dir = ./tools/omni/output
+22:55:37.112 === omni_init: loading new LLM model
+22:55:39.207 === omni_init: loading TTS model
+22:55:39.207 TTS model: loading with n_gpu_layers=0
+22:55:39.457 TTS sampler: temp=0.80, top_p=0.85, top_k=25, rep_penalty=1.05
+22:55:39.457 TTS: loading weights from GGUF (emb_code, emb_text, projector_semantic, head_code)...
+22:55:39.781 TTS: head_code shape: dim0=6562, dim1=768, will transpose to [6562, 768]
+22:55:39.784 TTS: head_code loaded, verifying first few values:
+22:55:39.784   head_code_weight[0] = 0.01361084 (expect ~0.01385498)
+22:55:39.784   head_code_weight[1] = -0.01660156 (expect ~-0.01647949)
+22:55:39.784   head_code_weight[768] = 0.04101562 (this is weight[1, 0], expect ~0.04150391)
+22:55:39.813 TTS: weights loaded successfully
+22:55:39.813 Projector: loading from C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/tts/MiniCPM-o-4_5-projector-F16.gguf
+22:55:39.818 Projector: loaded successfully
+22:55:39.818 === omni_init: loading APM model
+22:55:39.992 APM: init from C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/audio/MiniCPM-o-4_5-audio-F16.gguf
+22:55:40.283 Token2Wav: found models in C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/token2wav-gguf
+22:55:40.283 Token2Wav: all model files found, initializing session...
+22:55:40.283 Token2Wav: non-CUDA backend, vocoder using CPU for better performance
+22:55:40.284 Token2Wav: using prompt_cache from C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/token2wav-gguf/prompt_cache.gguf
+22:55:40.578 Token2Wav: initialized successfully
+22:55:40.578 Python T2W: script_dir=./tools/omni/pyt2w, model_dir=./tools/omni/pyt2w/token2wav
+22:55:40.578 Token2Wav: 使用 C++ 实现
+22:55:40.578 === omni_init success: ctx_llama = 000001f4ffbf1770
+=== Running test case ===
+  Audio prefix: C:\Users\zhout\w2\minicpmo_omni_work_cpu\omni-minicpmo-1-gnkn2c28\fixture_
+  Count: 2
+22:55:40.578 stream_prefill: n_past = 0
+ voice_clone_prompt = <|im_start|>system
+模仿音频样本的音色并生成新的内容。
+<|audio_start|>
+ assistant_prompt = <|audio_end|>你的任务是用这种声音模式来当一个助手。请认真、高质量地回复用户的问题。请用高自然度的方式和用户聊天。<|im_end|>
+<|im_start|>user
+
+22:55:40.578 system prompt ref_audio: C:\Users\zhout\w2\minicpmo_omni_work_cpu\omni-minicpmo-1-gnkn2c28\fixture_0000.wav
+22:55:41.684 system prompt ref_audio embedding: n_pos=20
+22:55:44.068 🔒 n_keep 设置为 72 (system prompt tokens)，这部分永远不会被滑动窗口删除
+22:55:44.068 stream_prefill(index=0): system prompt 初始化完成，ref_audio 已在其中 prefill
+22:55:44.068 [SW] system_prompt registered: preserve_length=72 (will be protected from sliding)
+22:55:44.068 n_past = 72
+22:55:44.068 
+
+c++ finish stream_prefill(index=0). n_past=72, n_keep=72, n_ctx=2048
+
+prefill 0 (audio) : 3.48983 s
+encode_image_with_vision_chunks: step 1 of 1 encoded in  3122.89 ms
+encode_image_with_vision_chunks: all 1 chunks encoded in  3141.27 ms (grid: 1x1)
+
+encode_image_with_vision_chunks: image encoded in  3141.27 ms by vision ( 3141.27 ms per chunk, 64 total tokens)
+omni_image_embed_make_chunks_with_filename: created 1 vision chunks from C:\Users\zhout\w2\minicpmo_omni_work_cpu\omni-minicpmo-1-gnkn2c28\fixture_0001.jpg
+stream_prefill: prefilled 1 vision chunks (64 tokens each)
+audition_audio_preprocess: Decoded audio - sample_rate=16000, n_samples=49339
+audition_audio_preprocess: Audio not aligned to 100ms (49339 samples = 3083.7ms), padded with silence to 49600 samples (3100ms)
+audition_get_mel_filters: Retrieved mel filters from model: 80 mel bins x 201 fft bins
+audition_audio_preprocess: Using mel filters - n_mel=80, n_fft=201
+audition_audio_preprocess: Generated 1 mel spectrogram chunk(s)
+audition_audio_preprocess: Mel spectrogram ready - n_len=310, n_mel=80, total_size=24800
+build_whisper: Whisper encoder graph built (projector output, pre-pooling)
+audition_audio_batch_encode: Audio input data - n_step=310, n_mel=80, total_elements=24800
+audition_audio_batch_encode: Before incrementing iter: input_frames=310, n_tokens=155, current_iter=1, current_total=155, new_total=310, max_tokens=1500
+audition_audio_batch_encode: KV cache iter incremented to 2 (total_tokens=310, max_tokens=1500)
+audition_audio_batch_encode: Final output shape: [4096, 31]
+audition_audio_batch_encode: Final output: 31 tokens x 4096 dims
+22:55:50.305 stream_prefill(index=1): processing user audio: C:\Users\zhout\w2\minicpmo_omni_work_cpu\omni-minicpmo-1-gnkn2c28\fixture_0001.wav
+22:55:50.602 stream_prefill(index=1): user audio embedding: n_pos=31
+22:55:52.228 
+
+c++ finish stream_prefill(index=1). n_past=172, n_keep=72, n_ctx=2048
+
+prefill 1 (audio+vision) : 8.15363 s
+22:55:52.228 📍 stream_decode 开始: n_past=172, n_keep=72, n_ctx=2048, duplex_mode=0
+22:55:52.228 stream_decode: create tts thread (simplex mode)
+22:55:52.228 stream_decode: create t2w thread
+22:55:52.228 wait prefill done
+22:55:52.229 📍 [单工TTS] 添加 assistant prompt: "<|im_end|>
+<|im_start|>assistant
+<think>
+
+</think>
+
+<|tts_bos|>", n_past=172
+22:55:52.229 T2W thread (C++) started
+<user>
+<assistant>22:55:52.231 TTS: 创建单工模式输出目录: ./tools/omni/output/round_000
+22:55:52.232 TTS thread started
+22:55:52.741 📍 [单工TTS] assistant prompt 完成, n_past=182
+22:55:52.741 LLM decode: max_tgt_len = 96, n_predict = 96, n_ctx = 2048
+22:55:53.541 LLM: detected end token, set llm_generation_done=true
+22:55:53.541 LLM->TTS: text='The square in the image is red.', n_tokens=8, hidden_size=32768, n_embd=4096, token_ids=[785 9334 304 279 2168 374 2518 13]
+22:55:53.541 📍 Decode 结束: n_past=191, 剩余空间=1857, 无需滑窗
+22:55:53.541 📍 轮次 1 结束，记录边界于 n_past=191
+22:55:53.541 TTS<-LLM: chunk_idx=0, text='The square in the image is red.', n_tokens=8, hidden_size=32768, token_ids=[785 9334 304 279 2168 374 2518 13]
+22:55:53.541 TTS: after queue pop - speek_done=0, llm_finish=1, llm_text.empty=0, token_ids.size=8
+22:55:53.541 TTS: before empty check - response.empty=0, response='The square in the image is red.', llm_finish=1
+Waiting for audio generation to complete...
+TTS: chunk file ./tools/omni/output/round_000/tts_wav/tts_output_chunk_0.wav does not exist or is empty
+TTS: chunk file ./tools/omni/output/round_000/tts_wav/tts_output_chunk_1.wav does not exist or is empty
+TTS: no valid WAV files to merge
+22:55:53.541 TTS: DEBUG before has_llm_data - token_ids.size=8, hidden_states.size=32768, n_embd=4096
+22:55:53.541 TTS: has_llm_data=1, token_ids=8, hidden_states=32768, n_embd=4096, llm_finish=1
+22:55:53.542 TTS: n_tokens_orig=8, n_tokens_filtered=8 (filtered 0 special tokens)
+22:55:53.583 TTS: saved merged embeddings (text) to ./tools/omni/output/round_000/llm_debug/chunk_0/merged_embeddings.txt
+22:55:53.583 TTS Simplex: generating audio tokens for chunk 0 (n_tokens=8, tts_n_embd=768)
+22:55:53.583 TTS Simplex: 在 prefill 前添加 audio_bos (chunk_idx=0, new_size=9)
+22:55:53.583 TTS Simplex: first chunk - cleared KV cache
+22:55:53.583 TTS Simplex: first chunk - cleared tts_all_generated_tokens and tts_token_buffer
+22:55:53.688 TTS Simplex: prefill completed, n_past_tts=9
+22:55:53.688 TTS Simplex: sampler created
+22:55:53.688 TTS simplex: is_audio_bos=true (first audio token)
+22:55:53.720 TTS Simplex Phase1: token 1/500: rel_id=761
+22:55:53.731 TTS Simplex Phase1: token 2/500: rel_id=4218
+22:55:53.745 TTS Simplex Phase1: token 3/500: rel_id=4218
+22:55:53.758 TTS Simplex Phase1: token 4/500: rel_id=4137
+22:55:53.769 TTS Simplex Phase1: token 5/500: rel_id=4137
+22:55:53.885 📍 为下一轮准备: eval <|im_end|>\n<|im_start|>user\n, n_past=196
+22:55:54.001 TTS Simplex Phase1: yield 25 tokens 到 T2W (step 25, buffer=25)
+22:55:54.001 TTS Simplex Phase1: token 25/500: rel_id=3664
+22:55:54.001 T2W线程(C++): 轮次切换 (-1 -> 0)，更新输出目录
+22:55:54.001 T2W线程(C++): 新输出目录 ./tools/omni/output/round_000/tts_wav
+22:55:54.137 TTS Simplex Phase1: EOS token at step 38
+22:55:54.137 TTS Simplex: is_final_text_chunk=true, will enter Phase 2 for text_eos_embed
+22:55:54.137 TTS Simplex Phase2: injecting text_eos_embed + audio_bos at n_past=46
+22:55:54.144 TTS Simplex Phase2: text_eos_embed injected, n_past=47
+22:55:54.153 TTS Simplex Phase2: audio_bos injected, n_past=48, starting final generation
+22:55:54.298 TTS Simplex Phase2: yield 25 tokens 到 T2W
+22:55:54.343 TTS Simplex Phase2: EOS at step 17 (final end)
+22:55:54.343 TTS Simplex: chunk 结束，tts_token_buffer 剩余 3 tokens (保留等下一个 chunk)
+22:55:54.343 TTS Simplex: is_final_text_chunk=true, flush 剩余 3 tokens 从 tts_token_buffer
+22:55:54.343 TTS Simplex: generated 53 audio tokens for chunk 0
+22:55:54.343 TTS Simplex: chunk 0 first tokens: [761 4218 4218 4137 4137 ], last tokens: [737 136 75 764 735 ]
+22:55:54.343 TTS Simplex: updated tts_n_past_accumulated=65, total_generated_tokens=53
+22:55:54.354 TTS: finished processing all chunks
+22:55:54.354 TTS: 单工模式轮次结束，下一轮 round_idx=1
+22:55:54.354 TTS: sent is_final=true to T2W queue (turn end)
+22:55:56.309 🎉 首响时间 (First Audio Response): 4080ms
+22:55:56.309 T2W线程: wav_0.wav | 0.84s audio | 2306.7ms inference | RTF=2.75 | t=4080ms
+22:55:58.525 T2W线程: wav_1.wav | 1.00s audio | 2216.0ms inference | RTF=2.22 | t=6296ms
+22:56:00.521 T2W线程: wav_2.wav | 0.40s audio | 1995.5ms inference | RTF=4.99 | t=8293ms
+22:56:00.522 T2W线程: 写入结束标记 ./tools/omni/output/round_000/tts_wav/generation_done.flag (last_wav=2)
+22:56:00.522 T2W线程: 轮次结束后更新输出目录为 ./tools/omni/output/round_001/tts_wav
+22:56:00.546 omni_stop_threads: stop signals sent
+22:56:00.546 T2W(C++) 线程: 停止
+[timing] call=0 tokens=28 final=0 token2mel=1983.849ms vocoder=322.771ms total=2306.633ms audio=20160
+[timing] call=1 tokens=28 final=0 token2mel=1833.036ms vocoder=382.936ms total=2215.984ms audio=24000
+[timing] call=2 tokens=6 final=1 token2mel=1846.302ms vocoder=149.170ms total=1995.482ms audio=9600
+Audio generation completed.
+llama_perf_context_print:        load time =   13532.85 ms
+llama_perf_context_print: prompt eval time =   12162.64 ms /   182 tokens (   66.83 ms per token,    14.96 tokens per second)
+llama_perf_context_print:        eval time =     797.52 ms /     9 runs   (   88.61 ms per token,    11.28 tokens per second)
+llama_perf_context_print:       total time =   21337.55 ms /   191 tokens
+llama_perf_context_print:    graphs reused =         10
+Token2Wav (C++): session released
+tts thread end
+t2w thread end
diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_cpu/minicpmo-2-7fa1ace55f734e678e7e76f56d6bdf9d.log b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_cpu/minicpmo-2-7fa1ace55f734e678e7e76f56d6bdf9d.log
new file mode 100755
index 000000000..34cdc565e
--- /dev/null
+++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_cpu/minicpmo-2-7fa1ace55f734e678e7e76f56d6bdf9d.log
@@ -0,0 +1,19 @@
+build: 64 (5202b7b) with x86_64-w64-mingw32-gcc-posix (GCC) 13-posix for x86_64-w64-mingw32
+llama_model_loader: loaded meta data with 27 key-value pairs and 399 tensors from C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf\MiniCPM-o-4_5-Q4_K_M.gguf (version GGUF V3 (latest))
+llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
+llama_model_loader: - kv   0:                       general.architecture str              = qwen3
+llama_model_loader: - kv   1:                               general.type str              = model
+llama_model_loader: - kv   2:                               general.name str              = Llm
+llama_model_loader: - kv   3:                         general.size_label str              = 8.2B
+llama_model_loader: - kv   4:                          qwen3.block_count u32              = 36
+llama_model_loader: - kv   5:                       qwen3.context_length u32              = 40960
+llama_model_loader: - kv   6:                     qwen3.embedding_length u32              = 4096
+llama_model_loader: - kv   7:                  qwen3.feed_forward_length u32              = 12288
+llama_model_loader: - kv   8:                 qwen3.attention.head_count u32              = 32
+llama_model_loader: - kv   9:              qwen3.attention.head_count_kv u32              = 8
+llama_model_loader: - kv  10:                       qwen3.rope.freq_base f32              = 1000000.000000
+llama_model_loader: - kv  11:     qwen3.attention.layer_norm_rms_epsilon f32              = 0.000001
+llama_model_loader: - kv  12:                 qwen3.attention.key_length u32              = 128
+llama_model_loader: - kv  13:               qwen3.attention.value_length u32              = 128
+llama_model_loader: - kv  14:                       tokenizer.ggml.model str              = gpt2
+llama_model_loader: - kv  15:                         tokenizer.ggml.pre str              = qwen2
diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_radeon/minicpmo-1-fec5accd5f8b463f8e62252d7a31c927.log b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_radeon/minicpmo-1-fec5accd5f8b463f8e62252d7a31c927.log
new file mode 100755
index 000000000..e83cd85e5
--- /dev/null
+++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_radeon/minicpmo-1-fec5accd5f8b463f8e62252d7a31c927.log
@@ -0,0 +1,479 @@
+build: 64 (5202b7b) with x86_64-w64-mingw32-gcc-posix (GCC) 13-posix for x86_64-w64-mingw32
+llama_model_load_from_file_impl: using device Vulkan0 (AMD Radeon(TM) 890M Graphics) (unknown id) - 30720 MiB free
+llama_model_loader: loaded meta data with 27 key-value pairs and 399 tensors from C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf\MiniCPM-o-4_5-Q4_K_M.gguf (version GGUF V3 (latest))
+llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
+llama_model_loader: - kv   0:                       general.architecture str              = qwen3
+llama_model_loader: - kv   1:                               general.type str              = model
+llama_model_loader: - kv   2:                               general.name str              = Llm
+llama_model_loader: - kv   3:                         general.size_label str              = 8.2B
+llama_model_loader: - kv   4:                          qwen3.block_count u32              = 36
+llama_model_loader: - kv   5:                       qwen3.context_length u32              = 40960
+llama_model_loader: - kv   6:                     qwen3.embedding_length u32              = 4096
+llama_model_loader: - kv   7:                  qwen3.feed_forward_length u32              = 12288
+llama_model_loader: - kv   8:                 qwen3.attention.head_count u32              = 32
+llama_model_loader: - kv   9:              qwen3.attention.head_count_kv u32              = 8
+llama_model_loader: - kv  10:                       qwen3.rope.freq_base f32              = 1000000.000000
+llama_model_loader: - kv  11:     qwen3.attention.layer_norm_rms_epsilon f32              = 0.000001
+llama_model_loader: - kv  12:                 qwen3.attention.key_length u32              = 128
+llama_model_loader: - kv  13:               qwen3.attention.value_length u32              = 128
+llama_model_loader: - kv  14:                       tokenizer.ggml.model str              = gpt2
+llama_model_loader: - kv  15:                         tokenizer.ggml.pre str              = qwen2
+llama_model_loader: - kv  16:                      tokenizer.ggml.tokens arr[str,151748]  = ["!", "\"", "#", "$", "%", "&", "'", ...
+llama_model_loader: - kv  17:                  tokenizer.ggml.token_type arr[i32,151748]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
+llama_model_loader: - kv  18:                      tokenizer.ggml.merges arr[str,151387]  = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
+llama_model_loader: - kv  19:                tokenizer.ggml.bos_token_id u32              = 151644
+llama_model_loader: - kv  20:                tokenizer.ggml.eos_token_id u32              = 151645
+llama_model_loader: - kv  21:            tokenizer.ggml.unknown_token_id u32              = 128244
+llama_model_loader: - kv  22:            tokenizer.ggml.padding_token_id u32              = 151643
+llama_model_loader: - kv  23:               tokenizer.ggml.add_bos_token bool             = false
+llama_model_loader: - kv  24:                    tokenizer.chat_template str              = {%- if tools %}\n    {{- '<|im_start|>...
+llama_model_loader: - kv  25:               general.quantization_version u32              = 2
+llama_model_loader: - kv  26:                          general.file_type u32              = 15
+llama_model_loader: - type  f32:  145 tensors
+llama_model_loader: - type q4_K:  217 tensors
+llama_model_loader: - type q6_K:   37 tensors
+print_info: file format = GGUF V3 (latest)
+print_info: file type   = Q4_K - Medium
+print_info: file size   = 4.68 GiB (4.90 BPW) 
+load: printing all EOG tokens:
+load:   - 151643 ('<|endoftext|>')
+load:   - 151645 ('<|im_end|>')
+load:   - 151662 ('<|fim_pad|>')
+load:   - 151663 ('<|repo_name|>')
+load:   - 151664 ('<|file_sep|>')
+load: special tokens cache size = 106
+load: token to piece cache size = 0.9319 MB
+print_info: arch             = qwen3
+print_info: vocab_only       = 0
+print_info: n_ctx_train      = 40960
+print_info: n_embd           = 4096
+print_info: n_layer          = 36
+print_info: n_head           = 32
+print_info: n_head_kv        = 8
+print_info: n_rot            = 128
+print_info: n_swa            = 0
+print_info: is_swa_any       = 0
+print_info: n_embd_head_k    = 128
+print_info: n_embd_head_v    = 128
+print_info: n_gqa            = 4
+print_info: n_embd_k_gqa     = 1024
+print_info: n_embd_v_gqa     = 1024
+print_info: f_norm_eps       = 0.0e+00
+print_info: f_norm_rms_eps   = 1.0e-06
+print_info: f_clamp_kqv      = 0.0e+00
+print_info: f_max_alibi_bias = 0.0e+00
+print_info: f_logit_scale    = 0.0e+00
+print_info: f_attn_scale     = 0.0e+00
+print_info: n_ff             = 12288
+print_info: n_expert         = 0
+print_info: n_expert_used    = 0
+print_info: causal attn      = 1
+print_info: pooling type     = -1
+print_info: rope type        = 2
+print_info: rope scaling     = linear
+print_info: freq_base_train  = 1000000.0
+print_info: freq_scale_train = 1
+print_info: n_ctx_orig_yarn  = 40960
+print_info: rope_finetuned   = unknown
+print_info: model type       = 8B
+print_info: model params     = 8.19 B
+print_info: general.name     = Llm
+print_info: vocab type       = BPE
+print_info: n_vocab          = 151748
+print_info: n_merges         = 151387
+print_info: BOS token        = 151644 '<|im_start|>'
+print_info: EOS token        = 151645 '<|im_end|>'
+print_info: EOT token        = 151645 '<|im_end|>'
+print_info: UNK token        = 128244 '<unk>'
+print_info: PAD token        = 151643 '<|endoftext|>'
+print_info: LF token         = 198 'Ċ'
+print_info: FIM PRE token    = 151659 '<|fim_prefix|>'
+print_info: FIM SUF token    = 151661 '<|fim_suffix|>'
+print_info: FIM MID token    = 151660 '<|fim_middle|>'
+print_info: FIM PAD token    = 151662 '<|fim_pad|>'
+print_info: FIM REP token    = 151663 '<|repo_name|>'
+print_info: FIM SEP token    = 151664 '<|file_sep|>'
+print_info: EOG token        = 151643 '<|endoftext|>'
+print_info: EOG token        = 151645 '<|im_end|>'
+print_info: EOG token        = 151662 '<|fim_pad|>'
+print_info: EOG token        = 151663 '<|repo_name|>'
+print_info: EOG token        = 151664 '<|file_sep|>'
+print_info: max token length = 256
+load_tensors: loading model tensors, this can take a while... (mmap = true)
+load_tensors: offloading 36 repeating layers to GPU
+load_tensors: offloading output layer to GPU
+load_tensors: offloaded 37/37 layers to GPU
+load_tensors:      Vulkan0 model buffer size =  4454.74 MiB
+load_tensors:   CPU_Mapped model buffer size =   333.43 MiB
+.....................................................................................
+llama_context: constructing llama_context
+llama_context: n_seq_max     = 1
+llama_context: n_ctx         = 2048
+llama_context: n_ctx_per_seq = 2048
+llama_context: n_batch       = 2048
+llama_context: n_ubatch      = 512
+llama_context: causal_attn   = 1
+llama_context: flash_attn    = auto
+llama_context: kv_unified    = false
+llama_context: freq_base     = 1000000.0
+llama_context: freq_scale    = 1
+llama_context: n_ctx_per_seq (2048) < n_ctx_train (40960) -- the full capacity of the model will not be utilized
+llama_context: Vulkan_Host  output buffer size =     0.58 MiB
+llama_kv_cache:    Vulkan0 KV buffer size =   288.00 MiB
+llama_kv_cache: size =  288.00 MiB (  2048 cells,  36 layers,  1/1 seqs), K (f16):  144.00 MiB, V (f16):  144.00 MiB
+llama_context: Flash Attention was auto, set to enabled
+llama_context:    Vulkan0 compute buffer size =   304.38 MiB
+llama_context: Vulkan_Host compute buffer size =    12.01 MiB
+llama_context: graph nodes  = 1267
+llama_context: graph splits = 2
+llama_model_load_from_file_impl: using device Vulkan0 (AMD Radeon(TM) 890M Graphics) (unknown id) - 25673 MiB free
+llama_model_loader: loaded meta data with 30 key-value pairs and 193 tensors from C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/tts/MiniCPM-o-4_5-tts-F16.gguf (version GGUF V3 (latest))
+llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
+llama_model_loader: - kv   0:                       general.architecture str              = llama
+llama_model_loader: - kv   1:                               general.type str              = model
+llama_model_loader: - kv   2:                               general.name str              = Tts
+llama_model_loader: - kv   3:                         general.size_label str              = 445M
+llama_model_loader: - kv   4:                          llama.block_count u32              = 20
+llama_model_loader: - kv   5:                       llama.context_length u32              = 4096
+llama_model_loader: - kv   6:                     llama.embedding_length u32              = 768
+llama_model_loader: - kv   7:                  llama.feed_forward_length u32              = 3072
+llama_model_loader: - kv   8:                 llama.attention.head_count u32              = 12
+llama_model_loader: - kv   9:              llama.attention.head_count_kv u32              = 12
+llama_model_loader: - kv  10:                       llama.rope.freq_base f32              = 10000.000000
+llama_model_loader: - kv  11:     llama.attention.layer_norm_rms_epsilon f32              = 0.000001
+llama_model_loader: - kv  12:                 llama.attention.key_length u32              = 64
+llama_model_loader: - kv  13:               llama.attention.value_length u32              = 64
+llama_model_loader: - kv  14:                          general.file_type u32              = 1
+llama_model_loader: - kv  15:                           llama.vocab_size u32              = 158626
+llama_model_loader: - kv  16:                 llama.rope.dimension_count u32              = 64
+llama_model_loader: - kv  17:               general.quantization_version u32              = 2
+llama_model_loader: - kv  18:                       tokenizer.ggml.model str              = gpt2
+llama_model_loader: - kv  19:                         tokenizer.ggml.pre str              = qwen2
+llama_model_loader: - kv  20:                      tokenizer.ggml.tokens arr[str,158626]  = ["!", "\"", "#", "$", "%", "&", "'", ...
+llama_model_loader: - kv  21:                  tokenizer.ggml.token_type arr[i32,158626]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
+llama_model_loader: - kv  22:                      tokenizer.ggml.merges arr[str,151387]  = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
+llama_model_loader: - kv  23:                tokenizer.ggml.bos_token_id u32              = 151644
+llama_model_loader: - kv  24:                tokenizer.ggml.eos_token_id u32              = 151645
+llama_model_loader: - kv  25:            tokenizer.ggml.unknown_token_id u32              = 128244
+llama_model_loader: - kv  26:            tokenizer.ggml.padding_token_id u32              = 151643
+llama_model_loader: - kv  27:               tokenizer.ggml.add_bos_token bool             = false
+llama_model_loader: - kv  28:                    tokenizer.chat_template str              = {%- if tools %}\n    {{- '<|im_start|>...
+llama_model_loader: - kv  29:            tokenizer.ggml.add_space_prefix bool             = false
+llama_model_loader: - type  f32:   50 tensors
+llama_model_loader: - type  f16:  143 tensors
+print_info: file format = GGUF V3 (latest)
+print_info: file type   = F16
+print_info: file size   = 1.07 GiB (20.70 BPW) 
+load: printing all EOG tokens:
+load:   - 151643 ('<|endoftext|>')
+load:   - 151645 ('<|im_end|>')
+load:   - 151662 ('<|fim_pad|>')
+load:   - 151663 ('<|repo_name|>')
+load:   - 151664 ('<|file_sep|>')
+load: special tokens cache size = 106
+load: token to piece cache size = 0.9319 MB
+print_info: arch             = llama
+print_info: vocab_only       = 0
+print_info: n_ctx_train      = 4096
+print_info: n_embd           = 768
+print_info: n_layer          = 20
+print_info: n_head           = 12
+print_info: n_head_kv        = 12
+print_info: n_rot            = 64
+print_info: n_swa            = 0
+print_info: is_swa_any       = 0
+print_info: n_embd_head_k    = 64
+print_info: n_embd_head_v    = 64
+print_info: n_gqa            = 1
+print_info: n_embd_k_gqa     = 768
+print_info: n_embd_v_gqa     = 768
+print_info: f_norm_eps       = 0.0e+00
+print_info: f_norm_rms_eps   = 1.0e-06
+print_info: f_clamp_kqv      = 0.0e+00
+print_info: f_max_alibi_bias = 0.0e+00
+print_info: f_logit_scale    = 0.0e+00
+print_info: f_attn_scale     = 0.0e+00
+print_info: n_ff             = 3072
+print_info: n_expert         = 0
+print_info: n_expert_used    = 0
+print_info: causal attn      = 1
+print_info: pooling type     = 0
+print_info: rope type        = 0
+print_info: rope scaling     = linear
+print_info: freq_base_train  = 10000.0
+print_info: freq_scale_train = 1
+print_info: n_ctx_orig_yarn  = 4096
+print_info: rope_finetuned   = unknown
+print_info: model type       = ?B
+print_info: model params     = 444.94 M
+print_info: general.name     = Tts
+print_info: vocab type       = BPE
+print_info: n_vocab          = 158626
+print_info: n_merges         = 151387
+print_info: BOS token        = 151644 '<|im_start|>'
+print_info: EOS token        = 151645 '<|im_end|>'
+print_info: EOT token        = 151645 '<|im_end|>'
+print_info: UNK token        = 128244 '<unk>'
+print_info: PAD token        = 151643 '<|endoftext|>'
+print_info: LF token         = 198 'Ċ'
+print_info: FIM PRE token    = 151659 '<|fim_prefix|>'
+print_info: FIM SUF token    = 151661 '<|fim_suffix|>'
+print_info: FIM MID token    = 151660 '<|fim_middle|>'
+print_info: FIM PAD token    = 151662 '<|fim_pad|>'
+print_info: FIM REP token    = 151663 '<|repo_name|>'
+print_info: FIM SEP token    = 151664 '<|file_sep|>'
+print_info: EOG token        = 151643 '<|endoftext|>'
+print_info: EOG token        = 151645 '<|im_end|>'
+print_info: EOG token        = 151662 '<|fim_pad|>'
+print_info: EOG token        = 151663 '<|repo_name|>'
+print_info: EOG token        = 151664 '<|file_sep|>'
+print_info: max token length = 256
+load_tensors: loading model tensors, this can take a while... (mmap = true)
+load_tensors: skipping TTS tensor emb_code.0.weight (size = 20158464 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor emb_text.weight (size = 467140608 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_semantic.linear1.weight (size = 12582912 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_semantic.linear1.bias (size = 3072 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_semantic.linear2.weight (size = 2359296 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_semantic.linear2.bias (size = 3072 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_spk.linear1.weight (size = 6291456 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_spk.linear1.bias (size = 3072 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_spk.linear2.weight (size = 1179648 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor projector_spk.linear2.bias (size = 3072 bytes) -- will be loaded separately
+load_tensors: skipping TTS tensor head_code.0.weight (size = 20158464 bytes) -- will be loaded separately
+load_tensors: offloading 0 repeating layers to GPU
+load_tensors: offloaded 0/21 layers to GPU
+load_tensors:   CPU_Mapped model buffer size =   592.48 MiB
+..............................................................
+llama_init_from_model: model default pooling_type is [0], but [-1] was specified
+llama_context: constructing llama_context
+llama_context: n_seq_max     = 1
+llama_context: n_ctx         = 2048
+llama_context: n_ctx_per_seq = 2048
+llama_context: n_batch       = 2048
+llama_context: n_ubatch      = 512
+llama_context: causal_attn   = 1
+llama_context: flash_attn    = auto
+llama_context: kv_unified    = false
+llama_context: freq_base     = 10000.0
+llama_context: freq_scale    = 1
+llama_context: n_ctx_per_seq (2048) < n_ctx_train (4096) -- the full capacity of the model will not be utilized
+llama_context:        CPU  output buffer size =     0.61 MiB
+llama_kv_cache:        CPU KV buffer size =   120.00 MiB
+llama_kv_cache: size =  120.00 MiB (  2048 cells,  20 layers,  1/1 seqs), K (f16):   60.00 MiB, V (f16):   60.00 MiB
+llama_context: Flash Attention was auto, set to enabled
+llama_context:    Vulkan0 compute buffer size =    30.75 MiB
+llama_context: Vulkan_Host compute buffer size =     7.01 MiB
+llama_context: graph nodes  = 613
+llama_context: graph splits = 216 (with bs=512), 1 (with bs=1)
+vision_model_loader: model name:   
+vision_model_loader: description:  image encoder for MiniCPM-V
+vision_model_loader: GGUF version: 3
+vision_model_loader: alignment:    32
+vision_model_loader: n_tensors:    455
+vision_model_loader: n_kv:         20
+
+vision_ctx: vision using Vulkan0 backend
+load_hparams: model_type:         0
+load_hparams: n_embd:             1152
+load_hparams: n_head:             16
+load_hparams: n_ff:               4304
+load_hparams: n_layer:            27
+load_hparams: ffn_op:             gelu
+load_hparams: projection_dim:     0
+
+--- vision hparams ---
+load_hparams: image_size:         448
+load_hparams: patch_size:         14
+load_hparams: minicpmv_version:   100045
+load_hparams: proj_scale_factor:  0
+load_hparams: n_wa_pattern:       0
+
+load_hparams: model size:         1044.36 MiB
+load_hparams: metadata size:      0.16 MiB
+load_tensors: ffn up/down are swapped
+alloc_compute_meta:    Vulkan0 compute buffer size =   100.30 MiB
+alloc_compute_meta:        CPU compute buffer size =    18.30 MiB
+init tts....init t2w....voc_hg2_model: CPU backend using 8 threads
+audition_audio_preprocess: Decoded audio - sample_rate=16000, n_samples=32000
+audition_get_mel_filters: Retrieved mel filters from model: 80 mel bins x 201 fft bins
+audition_audio_preprocess: Using mel filters - n_mel=80, n_fft=201
+audition_audio_preprocess: Generated 1 mel spectrogram chunk(s)
+audition_audio_preprocess: Mel spectrogram ready - n_len=200, n_mel=80, total_size=16000
+build_whisper: Whisper encoder graph built (projector output, pre-pooling)
+audition_audio_batch_encode: Audio input data - n_step=200, n_mel=80, total_elements=16000
+audition_audio_batch_encode: Before incrementing iter: input_frames=200, n_tokens=100, current_iter=0, current_total=0, new_total=100, max_tokens=1500
+audition_audio_batch_encode: KV cache iter incremented to 1 (total_tokens=100, max_tokens=1500)
+audition_audio_batch_encode: Final output shape: [4096, 20]
+audition_audio_batch_encode: Final output: 20 tokens x 4096 dims
+=== Model Paths ===
+  Base dir:   C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf
+  LLM:        C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf\MiniCPM-o-4_5-Q4_K_M.gguf [OK]
+  Vision:     C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/vision/MiniCPM-o-4_5-vision-F16.gguf [OK]
+  Audio:      C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/audio/MiniCPM-o-4_5-audio-F16.gguf [OK]
+  TTS:        C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/tts/MiniCPM-o-4_5-tts-F16.gguf [OK]
+  Projector:  C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/tts/MiniCPM-o-4_5-projector-F16.gguf [OK]
+===================
+=== Initializing Omni Context ===
+  Media type: 2 (omni: audio+vision)
+  TTS enabled: yes
+  Context size: 2048
+  GPU layers: 99
+  Token2Wav device: cpu
+  Vision backend: metal
+  TTS bin dir: C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/tts
+  Ref audio: C:\Users\zhout\w2\minicpmo_cpp_cpu_v3\fixture_0000.wav
+22:56:40.659 === omni_init start
+22:56:40.659 media_type = 2, duplex_mode = 0, base_output_dir = ./tools/omni/output
+22:56:40.659 === omni_init: loading new LLM model
+22:56:43.521 === omni_init: loading TTS model
+22:56:43.521 TTS model: loading with n_gpu_layers=0
+22:56:43.847 TTS sampler: temp=0.80, top_p=0.85, top_k=25, rep_penalty=1.05
+22:56:43.847 TTS: loading weights from GGUF (emb_code, emb_text, projector_semantic, head_code)...
+22:56:44.221 TTS: head_code shape: dim0=6562, dim1=768, will transpose to [6562, 768]
+22:56:44.224 TTS: head_code loaded, verifying first few values:
+22:56:44.224   head_code_weight[0] = 0.01361084 (expect ~0.01385498)
+22:56:44.224   head_code_weight[1] = -0.01660156 (expect ~-0.01647949)
+22:56:44.224   head_code_weight[768] = 0.04101562 (this is weight[1, 0], expect ~0.04150391)
+22:56:44.257 TTS: weights loaded successfully
+22:56:44.257 Projector: loading from C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/tts/MiniCPM-o-4_5-projector-F16.gguf
+22:56:44.263 Projector: loaded successfully
+22:56:44.263 === omni_init: loading APM model
+22:56:44.447 APM: init from C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/audio/MiniCPM-o-4_5-audio-F16.gguf
+22:56:45.272 Token2Wav: found models in C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/token2wav-gguf
+22:56:45.272 Token2Wav: all model files found, initializing session...
+22:56:45.272 Token2Wav: non-CUDA backend, vocoder using CPU for better performance
+22:56:45.273 Token2Wav: using prompt_cache from C:\Users\zhout\w2\models\MiniCPM-o-4_5-gguf/token2wav-gguf/prompt_cache.gguf
+22:56:45.545 Token2Wav: initialized successfully
+22:56:45.545 Python T2W: script_dir=./tools/omni/pyt2w, model_dir=./tools/omni/pyt2w/token2wav
+22:56:45.545 Token2Wav: 使用 C++ 实现
+22:56:45.545 === omni_init success: ctx_llama = 00000262404be2d0
+=== Running test case ===
+  Audio prefix: C:\Users\zhout\w2\minicpmo_omni_work_radeon\omni-minicpmo-1-s53iymbq\fixture_
+  Count: 2
+22:56:45.545 stream_prefill: n_past = 0
+ voice_clone_prompt = <|im_start|>system
+模仿音频样本的音色并生成新的内容。
+<|audio_start|>
+ assistant_prompt = <|audio_end|>你的任务是用这种声音模式来当一个助手。请认真、高质量地回复用户的问题。请用高自然度的方式和用户聊天。<|im_end|>
+<|im_start|>user
+
+22:56:45.545 system prompt ref_audio: C:\Users\zhout\w2\minicpmo_omni_work_radeon\omni-minicpmo-1-s53iymbq\fixture_0000.wav
+22:56:46.248 system prompt ref_audio embedding: n_pos=20
+22:56:46.947 🔒 n_keep 设置为 72 (system prompt tokens)，这部分永远不会被滑动窗口删除
+22:56:46.947 stream_prefill(index=0): system prompt 初始化完成，ref_audio 已在其中 prefill
+22:56:46.947 [SW] system_prompt registered: preserve_length=72 (will be protected from sliding)
+22:56:46.947 n_past = 72
+22:56:46.947 
+
+c++ finish stream_prefill(index=0). n_past=72, n_keep=72, n_ctx=2048
+
+prefill 0 (audio) : 1.40212 s
+encode_image_with_vision_chunks: step 1 of 1 encoded in  1439.56 ms
+encode_image_with_vision_chunks: all 1 chunks encoded in  1457.94 ms (grid: 1x1)
+
+encode_image_with_vision_chunks: image encoded in  1457.94 ms by vision ( 1457.94 ms per chunk, 64 total tokens)
+omni_image_embed_make_chunks_with_filename: created 1 vision chunks from C:\Users\zhout\w2\minicpmo_omni_work_radeon\omni-minicpmo-1-s53iymbq\fixture_0001.jpg
+stream_prefill: prefilled 1 vision chunks (64 tokens each)
+audition_audio_preprocess: Decoded audio - sample_rate=16000, n_samples=49339
+audition_audio_preprocess: Audio not aligned to 100ms (49339 samples = 3083.7ms), padded with silence to 49600 samples (3100ms)
+audition_get_mel_filters: Retrieved mel filters from model: 80 mel bins x 201 fft bins
+audition_audio_preprocess: Using mel filters - n_mel=80, n_fft=201
+audition_audio_preprocess: Generated 1 mel spectrogram chunk(s)
+audition_audio_preprocess: Mel spectrogram ready - n_len=310, n_mel=80, total_size=24800
+build_whisper: Whisper encoder graph built (projector output, pre-pooling)
+audition_audio_batch_encode: Audio input data - n_step=310, n_mel=80, total_elements=24800
+audition_audio_batch_encode: Before incrementing iter: input_frames=310, n_tokens=155, current_iter=1, current_total=155, new_total=310, max_tokens=1500
+audition_audio_batch_encode: KV cache iter incremented to 2 (total_tokens=310, max_tokens=1500)
+audition_audio_batch_encode: Final output shape: [4096, 31]
+audition_audio_batch_encode: Final output: 31 tokens x 4096 dims
+22:56:48.953 stream_prefill(index=1): processing user audio: C:\Users\zhout\w2\minicpmo_omni_work_radeon\omni-minicpmo-1-s53iymbq\fixture_0001.wav
+22:56:49.244 stream_prefill(index=1): user audio embedding: n_pos=31
+22:56:49.565 
+
+c++ finish stream_prefill(index=1). n_past=172, n_keep=72, n_ctx=2048
+
+prefill 1 (audio+vision) : 2.60773 s
+22:56:49.565 📍 stream_decode 开始: n_past=172, n_keep=72, n_ctx=2048, duplex_mode=0
+22:56:49.565 stream_decode: create tts thread (simplex mode)
+22:56:49.565 stream_decode: create t2w thread
+22:56:49.565 wait prefill done
+22:56:49.565 📍 [单工TTS] 添加 assistant prompt: "<|im_end|>
+<|im_start|>assistant
+<think>
+
+</think>
+
+<|tts_bos|>", n_past=172
+22:56:49.566 T2W thread (C++) started
+<user>
+<assistant>22:56:49.568 TTS: 创建单工模式输出目录: ./tools/omni/output/round_000
+22:56:49.569 TTS thread started
+22:56:49.728 📍 [单工TTS] assistant prompt 完成, n_past=182
+22:56:49.728 LLM decode: max_tgt_len = 96, n_predict = 96, n_ctx = 2048
+22:56:50.241 LLM: detected end token, set llm_generation_done=true
+22:56:50.241 LLM->TTS: text='The square in the image is red.', n_tokens=8, hidden_size=32768, n_embd=4096, token_ids=[785 9334 304 279 2168 374 2518 13]
+22:56:50.241 📍 Decode 结束: n_past=191, 剩余空间=1857, 无需滑窗
+22:56:50.241 📍 轮次 1 结束，记录边界于 n_past=191
+22:56:50.242 TTS<-LLM: chunk_idx=0, text='The square in the image is red.', n_tokens=8, hidden_size=32768, token_ids=[785 9334 304 279 2168 374 2518 13]
+22:56:50.242 TTS: after queue pop - speek_done=0, llm_finish=1, llm_text.empty=0, token_ids.size=8
+22:56:50.242 TTS: before empty check - response.empty=0, response='The square in the image is red.', llm_finish=1
+Waiting for audio generation to complete...
+TTS: chunk file ./tools/omni/output/round_000/tts_wav/tts_output_chunk_0.wav does not exist or is empty
+TTS: chunk file ./tools/omni/output/round_000/tts_wav/tts_output_chunk_1.wav does not exist or is empty
+TTS: no valid WAV files to merge
+22:56:50.242 TTS: DEBUG before has_llm_data - token_ids.size=8, hidden_states.size=32768, n_embd=4096
+22:56:50.242 TTS: has_llm_data=1, token_ids=8, hidden_states=32768, n_embd=4096, llm_finish=1
+22:56:50.243 TTS: n_tokens_orig=8, n_tokens_filtered=8 (filtered 0 special tokens)
+22:56:50.278 TTS: saved merged embeddings (text) to ./tools/omni/output/round_000/llm_debug/chunk_0/merged_embeddings.txt
+22:56:50.278 TTS Simplex: generating audio tokens for chunk 0 (n_tokens=8, tts_n_embd=768)
+22:56:50.278 TTS Simplex: 在 prefill 前添加 audio_bos (chunk_idx=0, new_size=9)
+22:56:50.278 TTS Simplex: first chunk - cleared KV cache
+22:56:50.278 TTS Simplex: first chunk - cleared tts_all_generated_tokens and tts_token_buffer
+22:56:50.339 TTS Simplex: prefill completed, n_past_tts=9
+22:56:50.339 TTS Simplex: sampler created
+22:56:50.339 TTS simplex: is_audio_bos=true (first audio token)
+22:56:50.364 TTS Simplex Phase1: token 1/500: rel_id=743
+22:56:50.375 TTS Simplex Phase1: token 2/500: rel_id=4218
+22:56:50.386 TTS Simplex Phase1: token 3/500: rel_id=4218
+22:56:50.398 TTS Simplex Phase1: token 4/500: rel_id=4137
+22:56:50.409 TTS Simplex Phase1: token 5/500: rel_id=4137
+22:56:50.551 📍 为下一轮准备: eval <|im_end|>\n<|im_start|>user\n, n_past=196
+22:22:56:56:50.667 TTS Simplex Phase1: yield 25 tokens 到 T2W (step 25, buffer=25)
+22:56:50.667 TTS Simplex Phase1: token 25/500: rel_id=3670
+50.667 T2W线程(C++): 轮次切换 (-1 -> 0)，更新输出目录
+22:56:50.667 T2W线程(C++): 新输出目录 ./tools/omni/output/round_000/tts_wav
+22:56:50.803 TTS Simplex Phase1: EOS token at step 38
+22:56:50.803 TTS Simplex: is_final_text_chunk=true, will enter Phase 2 for text_eos_embed
+22:56:50.803 TTS Simplex Phase2: injecting text_eos_embed + audio_bos at n_past=46
+22:56:50.812 TTS Simplex Phase2: text_eos_embed injected, n_past=47
+22:56:50.820 TTS Simplex Phase2: audio_bos injected, n_past=48, starting final generation
+22:56:50.968 TTS Simplex Phase2: yield 25 tokens 到 T2W
+22:56:51.119 TTS Simplex Phase2: EOS at step 26 (final end)
+22:56:51.119 TTS Simplex: chunk 结束，tts_token_buffer 剩余 12 tokens (保留等下一个 chunk)
+22:56:51.119 TTS Simplex: is_final_text_chunk=true, flush 剩余 12 tokens 从 tts_token_buffer
+22:56:51.119 TTS Simplex: generated 62 audio tokens for chunk 0
+22:56:51.119 TTS Simplex: chunk 0 first tokens: [743 4218 4218 4137 4137 ], last tokens: [2919 1488 4218 4218 4137 ]
+22:56:51.119 TTS Simplex: updated tts_n_past_accumulated=74, total_generated_tokens=62
+22:56:51.120 TTS: finished processing all chunks
+22:56:51.120 TTS: 单工模式轮次结束，下一轮 round_idx=1
+22:56:51.120 TTS: sent is_final=true to T2W queue (turn end)
+22:56:52.992 🎉 首响时间 (First Audio Response): 3426ms
+22:56:52.992 T2W线程: wav_0.wav | 0.84s audio | 2323.9ms inference | RTF=2.77 | t=3426ms
+22:56:55.205 T2W线程: wav_1.wav | 1.00s audio | 2213.0ms inference | RTF=2.21 | t=5639ms
+22:56:57.330 T2W线程: wav_2.wav | 0.76s audio | 2124.0ms inference | RTF=2.79 | t=7764ms
+22:56:57.330 T2W线程: 写入结束标记 ./tools/omni/output/round_000/tts_wav/generation_done.flag (last_wav=2)
+22:56:57.330 T2W线程: 轮次结束后更新输出目录为 ./tools/omni/output/round_001/tts_wav
+22:56:57.404 omni_stop_threads: stop signals sent
+22:56:57.404 T2W(C++) 线程: 停止
+[timing] call=0 tokens=28 final=0 token2mel=1999.902ms vocoder=323.940ms total=2323.871ms audio=20160
+[timing] call=1 tokens=28 final=0 token2mel=1832.577ms vocoder=380.356ms total=2212.954ms audio=24000
+[timing] call=2 tokens=15 final=1 token2mel=1868.717ms vocoder=255.300ms total=2124.030ms audio=18240
+Audio generation completed.
+llama_perf_context_print:        load time =    6067.45 ms
+llama_perf_context_print: prompt eval time =    4182.74 ms /   182 tokens (   22.98 ms per token,    43.51 tokens per second)
+llama_perf_context_print:        eval time =     510.14 ms /     9 runs   (   56.68 ms per token,    17.64 tokens per second)
+llama_perf_context_print:       total time =   13742.63 ms /   191 tokens
+llama_perf_context_print:    graphs reused =         10
+Token2Wav (C++): session released
+tts thread end
+t2w thread end
diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_radeon/minicpmo-2-53637554493b4b38af27b722dc48ad51.log b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_radeon/minicpmo-2-53637554493b4b38af27b722dc48ad51.log
new file mode 100755
index 000000000..7536419e6
--- /dev/null
+++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/logs_radeon/minicpmo-2-53637554493b4b38af27b722dc48ad51.log
@@ -0,0 +1 @@
+build: 64 (5202b7b) with x86_64-w64-mingw32-gcc-posix (GCC) 13-posix for x86_64-w64-mingw32
diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/low_budget_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/low_budget_report.json
new file mode 100644
index 000000000..a4678581c
--- /dev/null
+++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/low_budget_report.json
@@ -0,0 +1,45 @@
+{
+  "scope": "MiniCPM-o GGUF complete audio+image\u2192text+speech through Omni StageRuntime/StagePool",
+  "placement": "cpu",
+  "model_revision": "db25077c33951fe163b42986fba0132e279872a2",
+  "artifact_sha256": {
+    "MiniCPM-o-4_5-Q4_K_M.gguf": "1237a97ee081b8abebc47aa7dad565701e8f5f904cdc92f6723ac4281bbc0932",
+    "audio/MiniCPM-o-4_5-audio-F16.gguf": "d5b188ac7feaf98e17175c3f9bd14bf269301bfd187439fdaa3e3a494fc32ef7",
+    "vision/MiniCPM-o-4_5-vision-F16.gguf": "1453678cc4e4fe18de241952962e234f265cb8dda780773526103ab8ba82f421",
+    "tts/MiniCPM-o-4_5-tts-F16.gguf": "c7be3748a863dd6966ae7eed42600b7f41ca67affb03729ff245247f0e5ea088",
+    "tts/MiniCPM-o-4_5-projector-F16.gguf": "4b1b5b377358a5e594a304ff6ea5d52df606a9ba7d886c4299d232f0c67dd1fd",
+    "token2wav-gguf/encoder.gguf": "7f8d265da594eaf5e1de2db8f5f1867dbcb0bb75ef5878fadf2952347116f4d0",
+    "token2wav-gguf/flow_matching.gguf": "eda6069f3edeb5dd3a87fbf2aedb2ddd1b46f3273926c4fcf09b24476a39cab8",
+    "token2wav-gguf/flow_extra.gguf": "c67611aa7d02500fe395a7798bf0bfdfb55c74d37ba93934ca74d82b4e63f78d",
+    "token2wav-gguf/hifigan2.gguf": "1b8b3bf5d8d3066aeee4324fdcdd41aefce170d0ee907645858de408d82835c2",
+    "token2wav-gguf/prompt_cache.gguf": "81fe6f541ebe0b67db06a1e395df928da47991dc9637c2cf47d6c59d5b979f2c"
+  },
+  "cli_sha256": "29247187ddf3b13591cd14cc070e5e25c6bb7547296acc5e8a74e2945811d725",
+  "reference_sha256": "cf4bb5cd9acbfbf67596d4a53310652b61ef4b7ede1d54eb03ef4882ca40223a",
+  "input_sha256": {
+    "audio_wav": "14ee147cbf2ce9afd9e32c8c8228d7cfe11985cd7e63456b2ad33871492aefcc",
+    "image_jpeg": "22c7ccea466a3f551c512045e6316c7597408d4e0a20205502f55784d977aa8d"
+  },
+  "memory_budget": {
+    "capacities": {
+      "host_ram": 32212254720
+    },
+    "demands": {
+      "host_ram": 8589934592
+    }
+  },
+  "profile_count": 1,
+  "warmup_count": 0,
+  "admission_refusal": "ResourceUnavailable: MiniCPM-o weights, state/workspace, I/O and headroom exceed reservation",
+  "status": "passed",
+  "ledger_after_shutdown": {
+    "capacities": {
+      "host_ram": 32212254720
+    },
+    "reserved": {
+      "host_ram": 0
+    },
+    "owners": [],
+    "quarantined": []
+  }
+}
diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/radeon_output.wav b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/radeon_output.wav
new file mode 100644
index 0000000000000000000000000000000000000000..f28a3ab3239e7ca18994d42ace34dca31ff51662
GIT binary patch
literal 124844
zcmYg(2bdK_)Ahs~H}Ap*79?j$B2f$=7%(C#ii!#t5CmUAQA9)qF(T%yhzS%G!GHu2
z5ELW{lEW@6yKD|OO`iXp8F{{+dG4LL9jdFVyQ@xB_bj8X7%}3r3Q@TElADI#Gi7?~
zEI|-NTpMl|gs0XBf+S=K6YiRR*Hb7X2(GKUh8q@&gpNW7eCG%uA&4tW2n(hw32lXe
z!g<0uLbi~G)QAue8r(zf3Dij!iiH-qiiLd8sc_5Olp964Fv=AQ7YSDj15hW1R6(#^
z#|?m{>z;CtqAqJC+<kbC3jKvEgr49kN4Qg%CG-}m-FjCQ(uF+G&Ja}4>VoHldm1g2
zxW~|T9JF$fd!8^-xJ?)@j1evnI^*glG#4y4>B{)7KzY;E+%s;qYr8Ib*c`NuxRq{C
zVVrP-aHa65@Hsx|!hZLp`;WWI-Qh;?E9RyNgM>apE_%{IXpdH!dA&G<GWBke&<|}5
z6^00%(3><N)00(O^r5HF5>jf9dP%g|fVLe-Hi6!|pxYAtx=0u<T#lM;P$vYs?S<At
zJK=ocLZL67B9M{kDv+Kiq}&)NRO3pyL9~C4a4y>I3mW}VdNA%iaCL;-!;pLueJVvC
z&Y;g__|&1ch0$pZxpl&)x6lhcDS!;K(5C`il&Xl)ZGt3I_^t<^wkv{%9F)nxCl69@
zjar>B{zc%RP-umFCQ771Mqxq0cyU%Km=CHTdov@9=OA)(aHXM#+2Ai*h@w_5t~|7x
zk1;3)rCd-5ql5$=;^<|CTje%FS{$Q7NTxN~B87C+4tP{0NJoQA&Y+*C+**`%A*}>z
zCy}1=_*c=oj2Y&jC%o%kP93CEg-;pgLk-GvwkJTT3EwgFya}~=8K}p3qM%QXSE3%}
zD^aT)?Zt7`gVTD@bRk{V&``e-C3WzSM4Ag4Cg!?;@uNIllxRYUCR`lNGoVIZYLQmw
z^|=nIq@F+uCE%b=60Q3D9>I*;<?g}vUiW}|*gcM!UxJY?M{V|;wb_pftcg-kJ_E^=
zdF$(dSN@>;uX_+{_0WH{S@#r5*Punp{4{=@_P9C?%18gZSo)xQ1nup|br`gdBZn=V
zhU|}{g=$dX+^q2^ReGt%QF1SM-HU6NyVH9j6_#g<b&y;=xUI$S<DhmFt?a>y+v)Dc
z#k*g3FLc6wv|obO%0QW;=5t3rcpU}ReQ0Bc`?pt{^4b4iFZ~uvyf({GuM~9HYxeFS
zYVAS2zuj%P{zj|RV&vl>KKmf6{os8!KL2_Y52KxfC{c#%D0;_V|Ki$*GCTj{o4oG^
z)qTigiDPK33=*wDUuz)U!${wUwzjw%-9OOkcJJB+`v0O$mOqXfr_c&{AboPM+sogJ
zHg<VEBR`x8>@h#PQ0}lto8!D6zgX|z|739JznuMO*{`z=?QcQr>>KCNA>{Chl05pK
zOgZ{Tkj7EjjeOE41)u66<etI|^XClZNx2^P>X$;k9DSBy?@N(-1SO6mh2uhfecY>Y
z(wiyFD+evkrZPNnlsK*@ym6wGeM%>h!<p0Q>B3q(ReN)s^MV}sbE5*1PI@Kkz13We
zwNr<A)_`9zZ}rt;JlG!BAN7o%TMxQixrVojS)Nxdt~%uS>-B8OdT;hJwGm~gFHBq(
zYV)G@;d+mwy+&|T2TmLCo2#B$g<6Y!h$D^qA%QCfo^`LD209K>4O|X%hvey10UC&D
zzLudSVT$YJ%g~2m=*1{>aReGqfv!{Wl!1%ZncCR5x1=T`pH~3dGz@)83y=kk97Ro*
zRdA0W=j;=oqbQew549;NnVxNspzYZX+s*K(q<JON@ms}3JuTxRCDChH_G*MZi;)Z6
zUjXf10L@NIM2nE^>Gw2`b8=71lIhu>Oz%!!X*Xy&TH<Pfy0jp?n!(0odUe=~Ah;%H
zS)QdLeOjzSuMJYj!BaEuD)eaZITy8~|FuaA#X9+@(;Uw%&sy2|G)KEcE3II++u~E~
z^@CiIe<FY^+$j;(FY-8Tjgsx~;nf~btwDiyw*{zWqXsQxrq?zp&_XsxJ)(h*p2hA8
zEYr^GG28a#)eL3GBRTiw!afy)BU<S$sM!wBt$`I<p$@Mi^ri?GpU8hPC^DD#b{@82
z4fcxMw#U^0?REu<>VkVm{BDbs4jx^WX^pby;A-RbiLzilUhTmF@fYim3UL$5v#mmK
z$^QD%B_|w9(m4lZI^tsa4tQ?mm2csVfj`O|k7AVbTW;y)vsdg5X|pUP?#~O(t$fJH
zpD%uX@qeW_8(5Ou`{TmClQKuB6>`WI>5)1qbG-bv*=`$@<i#44A=~s@ZRV9cJ1g@r
zN|bn^m&$LB7<uB{&&S1*oMA*-oHs;U{!C{YbC}MR;OFq0Gm-0-bBC*hE1w9;U$w;B
zTm`;X;C%8w{>)@~t}Wiv{;Nlv>#ts}bLNmHSE_%VU5Cu|OGc3!L>s<#p(di|z;FJO
zJRL(lLyq{N-taG|El+=W1(9kYopl{NG0nwq1KN-u&AWW9mxT7yyi{se{z~DSPnxGg
znL@1_|L-?*{50xTUcO$YzSX=uQYTHOlNLYJ+C;&=tsphp4c?hYjnAtN7j1)Yg@}EK
zwtQSkOvhimDsYwmclr2*Hm}69ZN#lU8X+q2?VbOd`F;wq3hf%}(5}+X5hKu|`WBiv
z?5sWY(T#5h$xS)x@$zdO^{D<IuJi3HzgdrTN%Mq9?U-lpeWd5362IQD|ExDr7x4j6
zp^q;P;y2L^5tmPi7}3usj`0!3f&Y++k5Py&4tUm`<$PQ~Ea>;quT2zn$fL=&&t6Bp
zR>=Wz3BTDYc|6OLkDo~WkjE9j$paBE^N6m<xsP&Li+y4#O2MZ>EJS&*3|l5A>@WH8
zkrFv&9!H0q^TQOMf?v*;kWY~%&yK8*qKWtXC%+zP_~^%{O-e-IJ}tISp4rNAaK_oe
zu_KSZ9M1NPeI#xopOg$|6w4F6az^+ZGtcMsEKR1L@=Ew6Ie+Lwlw&5d<|$nMJR>do
z7ewU5ZM=9VCgc;-iROs4xE_4WMLg!Omb2@l%FC<3H)kv{9%=aNi71U;1ur5vdZt`^
zO!Yk{;<g4a)nBDVYFx8i<-DjJh^gq~Y0xYdzKO$p&7pg!O2fD5X$T)#5v|Z;q)+T)
zEYZ_T^lyou=;`twb(RBdMz5DT&QE6vzZ7dx6Ox+$>}xl2LA=O+^a_c}_~AvoN9;t3
z)Z)ZUZ1pT{=AGq1@{j^`GJSL+Kfi{GbYG)Kfbx7aM65>?MHHtZmHE`<z73(pp>Lf5
zdy|V&q(?;Q+ZG~1S{;_i_ADZ?2Qd&498nLW0K76#HygH%_K9eO){XYgw^J-dtdocI
zLVODF?dLNRkp_!G)W)_lQHIvLB}(|XE*HOOYiXDBQI<S0?m(>Mw~&F7#9PFZtjiXB
zY~-W44D_1q`xchm5k1kS6CbfWOSAX1itGy|Kp9X*#C^mneuV2R3iDAPrR>{EazkX}
zV;f3{7jc0v2_iMWeMU}vjLzQXf;!_IJ}PMe&Nx;aEq^3^%TL}pYFQ{xWIzPd98YYK
z5+ofTRr8mRA$)A;V@x7cMsg^9N{L(%AF*%z#r|{T*)rQrLwVv}KU(7>5ua*~CmkYe
z;sDMjjvZxn_K7)Xk%B*u{9pe!J2+O93j56w^LgT!6HWQ}i?U-1@07eR#k1Z5=c$i`
z7#m`HL_l0cT(?})L<SAe6^w6C3zd7ii<;@IU8G(-22FVg`qZ~BzQ=h8mV!2dc8wa5
zu_AhKL>HvY^-E94|Mrmvy*nSx`2H1T=#L4JI_1Z?<*#Y3VaLN1)K(49X}%^Sx8%~d
zru6w4o7nFD>27s5BWl18uMO@RceVSY`-A(fyVU*M{n-7$eb;^4ebarzeGB*Z+{Nyf
z?$;=>7G*b~#u_}WbAQFP4!<`e{;&m9cOsHNJ8=y9`V8d6_#|Ui)EfRw<60u_B{nDa
z_x%_m@Q&~edLWkA6QAC=&coBWxO(8Z57N#<jFM5xK6vUabcY|&1G!y5r6Z_u)TtRF
z7%dYrD2K#1yFY>JSKLS3yWGp&bKN30;_6PdbILj99B_6!Tb$pVU!Cur#m-yK%g%Go
zGtQIF<Ibb_%yH&BuREVRKRCZQzdKt|@^@#Gv&LD48b=)6DRz6h7lP&u?rrY<?i}|c
z_jgFTSQsJPgqZON;VNO0@QU!Aa9qd`yNSKUwxT6e3Z2Cb;#<-a@@2{k$^}ZDd_=C0
zuT^a2Q&kO23y8t)!N&vlslO<XDU+31%FW6`d6bkUu5$Z1n=Qq<*LvK3-_Ei^=5F(t
zHN|%9l+()H>fDF%ZgiH|FW4=dHqMLoR;$UJV=g!UFkdidn2XKLW{$Piy4=3m9%L`H
z&v!mV&lR_`>o{wjpPU`&{r%3<=v%du?Pj?RPSWY+-swKzF2Xpr5pERbp&wg>dSQV0
zjJQUu6f>kQ(kN-Zv_yJEdQy5;nj_sHjgW4a?vh4IS0SgpR4(olkBbMzo#IikRxA_O
ziu1*5#SUUbY!LPdUkOhOQ-#|R_jfU4zHyg9dUM>V?t_q~>aKUbhLl%2A3F;$3Ui&=
z&fU(1PH*R8XOwe?GZEL#&ehInJdbs5Lf%Yg9<FDdmz>X>Kb&&Mb~4@G7?mg87v0xE
zdkf}cC9EQKX-mu~&Z@qM&W{)F748-$3Nz8a=Y-dVuZ3TQ^}?UR0gTxRVZX3V*edK6
zb|Lj+VWBV^C2zov!zJ+MB!Rf046Ep8%&*Pp!*5sxzhMPz#~MF@_I6|L9m87R=Kh7J
zz20j19qVN|_*sed@*8Tda@Tw7koBk=_M+Zd6jchu!dNi91V6G%lyngBw%wi<A?{?v
zaS!f3f;$0?QiruBV4YDXQcs7W5$K6DAdfil2x|Z3t$eQ2L(o~}Xv0QCnmY-ir+fW)
zP0+&!mWO<Za?bi=4$4xCH-k>?ii>Nv6E5DnU@f*s%k=vcNQiqBjGQ$=!zDd^WMQv?
zc9yo+kD>UUJFP?rt5)!$^^GV`G(=QGyhFUg-J*P~aB6OT)5oUwPhXjP07MLo$g?ct
zW{i1J=TPJ1pe<?}df4s3C8G~rpgp=EwHRsbaHqW>RqjEwL|K+@|6k;wqnF<TDfH(V
zZ=luiEh?=dtsAWvZ5wO1K&j54-WGR8L3n2?ZBUE&hc$?c@*t-mKD5f2XrHkeMmqRi
zgk1KQJtR-GX|!%W7agGYdV0N}w(Nx+p8ojsMjHFp72`l1+5@_BFz)TZ4NG^$@BSF8
zws`7}s~1*5U#!6)Nab!%Pp@Wwq;X{XfL;gmhIpd@G9<pqf~`@}2ciaIoe(4*@%q8Y
z9cLY_QNZgZ`{rX9+UWqsle=?7Wf`b>j@Qe4&?c{x5H)xq?w!zPF77?SHKoasIu~p9
zd|U(2pFy~WV25lF_Ngw$cYmaD|FAcDHwaJXdzPX*dcc%ksLkCej(ATz(Xw<vs~u3P
zEBHwFxF!-Ml4Ha!gn2}ao$meOeiKKEdu9sqXn)htYYTgLIVk74+$H4vBbqDp<V9Jv
zL3=Gx&tD~+O^l#1f<^gr-|JkA73T!U=3MliaXCivI(d@e?4xz-hO007#5vd%PhC*A
z3wqlF6gbBi2WyYKV$|#cYUF_P)JHswJu&K)hkkLttpI#R!5!@+R}7IJ@n5DlJ`wao
z#m<tAzNKTlT<noD@~U{XiN@K-Tu_K&CbmSXf*OS=>tZjE>o5a+v<Gd@X^tJSFR@@A
z=mfm>e8fmh@6RY7*>av2qaJzWZ08ekJlDxte8=6)R%k1V{MML9VYGL4MP*`Se4m1&
z6Y|C>h!G>^pw|_}hX{+Sjr}=0GXoew-~XYePz4QIBZ9OTG>8fb5S`&Ba3_pfFae#M
zfOqA39v@Lg0}vYVmjS)Vom%Qr&T;A<VtMjHsWtPsrl-*wBh1}L&K4g_vt{b+OmF7V
zr=a{OJI=NoNKOUK0(=6H2k~_P9B}tDgwfK_s{lAB2Qu0h&_DW->?ijP>0|2Pm+>#^
zVjX>=XUx5VCg8J1%w-Y!-|*}J(KhFQ7%g*E5Q}pqP;Q(#S@>q0j*_H@7{Hx+kK+-=
zO6Y=d%mA<5Fj}+%MB_ooi9HBIGm|f_9u=hm;5LBXH1lQ$Tk$2q9a(DpF!-P}xz|gr
z83iw#Ilh-hKK_4invp{jc8XpfcR}cva8Eacn$$kzGk|__x0{lVf-ZGbbIdCCkCATr
z47^%ly|qRCY|LS<9*zd>74?^IPZ;N=My7`MN0TeI*qgPaPpr$CNL!bV)>Nd?8q>yR
zqF0ndI`TP3sS!C(*aP}X^f-KJ5YuxF(mP^b0-mgB6*&*0kR;bA{d7KYruyE#4Eh3S
zWO!ql2M#$S)6tt|C>=!)^F1EJ;Ep~JR}Z}>YJ+U_fu0-pdT7-++Vt1B9;nahiO@$P
zKa2=75=))W=Lmjr_eepW2nu1$OA9M117*1Sc$UD$*$D-|Xya+IxsOF@aCKQ2EyY`f
zJij1%rHME=evIBy2a^)1>fU_iNd{sb33H31&w0$zXa7yiewL!o#@Gn42uFbPUPr!z
z98zK|hc!r-<!w-mBaOT5Twjdja9uIdLw}5AZBVQCS|-9`l$cRpMufRLmqgtZbVUVn
zOsudfT-*(09;3b7eP@*E3@{{pNycrt6UkE+rJmQs$QXU6Y9P02(BocjmA8KB&G9rv
zJ<3(#yVm<=3F1Gl=vtKH`Hm*9*VJ8c^xDR~4k@}<gPN@ol&g`(*cSID{TP>jVu7f$
z(#xv_C)|<eE<B@kJRw8>)sH$djeGXoy{*6#cYo>kmEg{u?GwP9$C2(wF;C#PUyl(<
zKL$w8*^kfFfI^wqo71Ru0>4P7#LF#1`;~Y;h+34QA30>&N#NLnpzrVJAB6YGmi;&+
zBbeo&$a?>x#cK5Z1aS6Y&_3<q=#zLV2Th`Do+Kb`{$hF^eltGGTJ+&L0^EmY|A_IA
zL&A-CI)EIW{y2$z%Af+N<tTR=qf>#lPk|<*m5fE6@mgRRp2(mStB_j`D#wxQd+OxE
zpBetiiwcYdM}g-uI7`mpsTB3jppAV<uR}Vc3e2Uf$pe3L)-e)6+3^HG32JcPn4WPB
zW=IlL=`ke1iNEvAdlky_^oxdC>;dNi=OE>B0u-vz_7RjJuO%qS)x_CM4}vp|>xz3B
z#NeEJNvr_QDcT#(Nk%y8Q8$K?JUhjcFI<`21L4f2ufX}sJJ%&6suDB+V;ekUMQfbG
ze5O8PT!D6;vz_O4xcW$e?UAZ~?kEM?ls$LW83pDVWK5T<i*oRH%xNFFm+tQf@w5#Z
z@N^OPsHwO3%}6e_4Xu~~t;JY_j=s}^`jH!-BWet4Rr)a0Wz=E3(-P38Qcs4V7m1)<
zl%Sp`67ge|)T$xqVB%@Up=d*>P5r%i##`BIYB%oGTj-aFJ9!`#o=>Cwq{ecfZCRer
z0ch<IIFdj)7wr@0F<wF|em3HkhBg_4C0=QPQpD=Sl1$;QBCRUzr0-wSR+6_ol+MQ!
zW1r-j(Varv{kR&v7Wz8butP*_*(lAEX)ICXA=Kvo*;OLC)}9sO9w{TsjHmiYm8ggp
z(H0}KjLs27Mll-1g7i@sA0uw^F-tn6nC5ZMbRTch%K04AvmsJzjuv^!EepLQVx=F)
zh%zID<e!L|y(#i2v7d}=`cXpqdyG19Z@nF!3V|Csqg)~S(b4M*@qQcRwepYx5iBF7
z+zBQEWDQD<@#nBti?}<2`~rL{XrJCBPq<~_-pZ35M}~54jbE8a>x2)Zy~HCNS7MS@
z$l=+^_DHAPebmmeBg!Oq^xd++*EwEKxM$7Cd6CB{dq-5nGX<0YX%poW!xV!8=O(2Q
z^>`(c;GCyV%vKrY<+)1sjAtb1;j~3gF1)V+@K<;Wv=6*8e<z>wfWCP<l;znxo+2d9
zU`!#5wZYLz!@Le*%qgQZZ{8A}5<PG}(z0`g$yg6T@K*%>h>7WIn^*^oWiz_Z)kaU9
z(RU(B&V8-|0lzuF!&nbt)NhV;B!G)T^p9(hvw%pL9t}@SFrH0ctTiN&hu*cpw~rG!
zcQ|jkrYIjq(&^#0#NFTRAj;$H;u@8Z7V=gs`xJ-1NXOi!9i}wtV}K2>chnqwVsE%o
z4X+Hj;?5KO3kCIbtY#u^#?XBvNz51YT9HsI&FdFYd<f|#>J@<k``j9G(4ZX{b)dE=
zz;EgUQsSy1T1$h3Ly)lRQV;R0E%Be_VL2WA5Mfd8@<bC66|F`ibSrn)h%0Dc{M~Na
zAO7-p*N7{K#)wUb)K20z{SVrf6rN(x+qHPIK!d&tBjODxM=y<bn;29>4kJy}c}Y;H
zMQ%u_ge^2MGbDj_otRaCloBY#v%5SoMURdVccMN2bfpbm7!M1f$86O_sVda*F`OUs
ztMNGDE;;uAN<HL3%Uc3Vdjzc$2k@j~DX7-rz89sEus_`UrA$ua%-R98V!-wsMGCzk
zp4H@uT4GA>3GfsE?HTQVJ)UYj$~<REJml|#68n^*&6B9v=uxLlBjO^;X!NWaQA8D}
z#J~el2z_9pg-TFu^!TTZt@5yfhWlaU(JG!m**IF-1^Tqfr@Z!wVQBXo(B?6(g)`_A
zTPjCfu@rKvM{iF+ZguEkIqub{SB~<h@SCzZjyum19>((t#6CBn<!WG<-+@;u@ywXy
zDbVH#%~QxZ2D%lH3bEQLw8Zm)lnwc>0}b|$w)`|`9tFp7P~MMvjo|$l?$w}s0R2yS
zEfWEhLpJpu9pZ7Gx8)2ZQsT-ZW%|R7;I;&JL8!r<W5Zowo`NMx<9WZ+Xm2+@+!5Z7
zos?7m^_Cco=Ms4)^{Cg2TJMQC@(k#dq1F+MXdF28FSKnU^&jxaxlCS(sOU|QE1o1~
zyPW;>OmvT5MkeUX(A(hbZGt4oDQ5w725ay)&pi`2QnMJKSB89Q75WRNhodMt0V{>k
z3!X*ciE?^<M0WI#i7y%5AoAlHVXrv?98q7AJdMbie+Im8g%T-popUFiYo4A8br+F7
z`KQc@R?gr<Pn9#;L0n!3l_Xl?`Xibm`lRoFHY!2=&2>vH&L^H+Bqk&(qqg>aN=7iK
zQ;Ca+hIFjseCR^crOhR3BZ^63lxb_}$<n4+@Glw3tA#9zK%euSzB^}e05yV;DCY!Q
zr(ermf7!Dg3G^ch+m(T`BCLS_HUkkx2>M)wEo+6gO`Pa&fqEJug~iB8fof~iC;q3s
z;K)T`BSJzWIAG+?h13+Jv;;+Zzqv@u_p~r|b)IJl^1b*<60NiVuL<<119JQ~ApQ>_
z(YmFhWPw1B^Blwx^N^C`p_GoG-wgD+;#WJwYl_iAKBA*VpcX=WwLeNG-1fL<KyOCC
zSu>;%!ztiYM(tvZ2sLqANQwSF?I5vbThG1`eb5ug1<kgYRT3;{u~&w%@F03w1QgI5
zG((_8E6T_LQI3KhHuvgi7*EFh*b8E$G{}M&fN@ifC!^NX<!uo8E$~KxQG8;pfKZPJ
z&`?BHQ<y1zfI%3gXp2&5$Zdyb1JZBjS$P?0w0VrWw8n?4;#|m+>y5TP9c5*3N<5+B
zPJF={MCr8goTU!dUJyM@2Um>F5IG5;z;cY;aIVoVGhRkCN)$m)i4jifd&)ioblKw;
zphD{y1P$V5dLb_4Sma5K*gpcQS)lH^#4x1Js1e_>VU&%lNW&O%yecu9=_}EjvoX&k
zj45pjb7idTdgL<hL2FOVV56sO!9e*K=tVG-X*1){YE5n)R@Fi1T_P3w*fQGX+O33s
z;F(-{%$&_Rkopm%Gfv3f`B4{QhNP!`GQeXAbP{*gV_1*0A$+Hy8j>WwsmB`0#k~%{
zvcYl6CH|xhVf4EOcEZI@tAO^13>mYgmq{DW^+}vSzmZy-=ZB~Xk3ol#?jg_=g)&fR
za0|fkKF}ntI*tA@B2|Nur6|We^fP!q0a{#7W!T9(h>{ZK72l^IzTv4kq6My#qp)Vx
zKpTp%7FLaZ;a;S~Ae9(O{eyC0)Z7j30(e7c6L`sjB!5Q<NjQofxfJ^GFZK{!^l-QP
zA=>XHlw#Mt#O;dt_$~U;3hzHH0Y_aSyXBxwyuKMZl^DA!aQ6@7O&`A&I+)Q4p4O^B
z`!-JWuSegC(1%}8IuE$%XYd{cKU-k08S!9`>QI||_w?LPdG7&KV0;X;v;lbrdRPiB
zPr_=Ify?74$r#dKpiV^h2l~Lc#7=w?;PN-*(}zEdozFi}i*n^#1tlJjv<^v>+>KO5
z?RavYmYC<Rs*uij3i;xDD*oF>71-%KiIQ>9*o7W)l>hZ)E(j%%;|b6^i2iU+9R<gg
zkZ&V)X8*<b#37Gz<X1u_rJzguPfJGY#diSs-pz3@hnRv<o>SodAJ8&TZ!dTzLOOu&
zI7*k`=_ok0k-rPMjEyk<MHw>E#K;z-S6qXo$gjZs;A-;sS`DlT8x;29UW8e<75y&)
zr#sQt2<9=-8xam8cAV#B7$+Gs|6j~>6*Hg&vTi_6k3tp#W)SCC81J(YC)tqVA>`7=
zAHp-E!o-U7hRcznLna)XCeRd7hgOZ2l!%XZID*wl{Kpt8u>nuzQ}YC|#+gpffwPO~
zL4ro04JVf73LtW&mUd9G4mIe>5W{k9Fei-iRcJ2)+Ke>Pqh;JP3_V1&B|_^FM@FD;
zHAo?WwUmb$T8Ca!qY;DCuV4g*`i*fU5wsY^qz}ONyi(|cA1gk)^FwsNb41j%>5z9O
zB%FX0T7XIubaQK@P_BN=fcl$fr|Io+hnqe=cOH0Jh4zX*5cet=?_e43QTgZ47)9WI
z0b|~sP@1-eJK{uYj0t3d=M31a9NdFQZ;c!o8lM_k1^wnI7l7sBTaF5JJN1Z)??TX#
zz#Xj?{Z+;*_|_cb^gKnw-3WTT+*4=|`m`*CpwB&WMj^;m2joSO+ZU2mQH%S#IiTMf
z-Z*{iOmB~oQ4QjNe3a@2N(IR82+GY+zbmL^BdrVW%~6K^$U|-y{30Jb#Y3sFP8*cr
zxuljzYljp@0(f$t(V5nu?C&V^Y(4i&xbIF6pF5Ydh@G*2+aC8~@OGY8`&?ia?)J3<
z-@U!Qa*wnvN|LJ_)MG4xGT_cB_mR1O&WKefuODo)2TJp70wXcqK)0vI5%<lx<Ld9p
za?hMQ&z-Pm+!Z}2^mbht4d6~KksRMZXpNTIBfmXLvL<6Lok6D~(%XWM?kL0a5Im>U
z6;EBkJ##xE$KRXhzE~Ul>JPpd^*A3TJ0p#I_&t%%UH5J%&s||ki@U$vN$!B(JX=wW
zU&LyR40S;Y&kg$Tf-wHn94U-UFvijY`HZY^{Cc4d_lUcpwGNP45nAbo6h=O}p$yL&
zw1&KS3V~z7NC{6_Fp}2X>o<`%X9RbM^T0P{&%Mb)Jh%4BGs@+^$4Pv}I1y#n3VGR}
z&<QeSM2cnnSy_Pe7HFG&DS}MSL3=)S<1Q)ZQd`VE&V>#r$I~Bv^sG6`GGf71%sppD
zJ$QDM`-8+tM2I}`L1e~tnt><wh;dZzHv3T|o;L}g2Sn|R#ImQ1>Jm**$1wguZ;6PF
zaSs0GJDH59DA4EJPh{+u=+)m-=9xtQt!BR8Of2c2h9D;6c?tR;XU~E1%qH7s9Fraw
z_cBS3Cpo!$#+aQ?o%^1C)R?9C{sZG{j3d!UVPuyWjS&;Zj_GT0=Zo5qyJg%}qc=nZ
zNv+EWH>2WA^WRYAsb#(^=6j2LGl7u-o<5|G<!%@KLhd3nx=yc*`)7=tpeaa%ejlG0
zJ$GO${1c3{P4qhb7#7bovkd?J-;<xm6#iqnf5wt$jTjSQ?Aiu>KORpMN=!zs=zY?2
z=ecjbv&VfReux$5cUQqim3Wq&?<@Ex)QJQAcf0wPDbJVlB66*O72;`3)*}TX1E!vR
z_rgExNrd9R*;ni3vvtN2$N^Cb{VSGWX+}sG8>00hf82NQPh&EI#9!<K(Ff(tlbU`x
z(qhZxgnKRI%RfQNhyqWJ@+}9R$3OelB!BZ=R-!%L{kJ3dMkJ$6Jj>5FHF)>;?#`a8
zXWzLaQsTA3RPHGGmtWS8Gclc#WVD8t|LzFirzCFT+r5+_FM9lxn;##bBseaV5an{V
z1l#0J8!tv^{P!XF9t8LA_<jQ0;I0^vEH9sTJ~7(E_XGTQ0LT-gZvI}KfBu%GS%!Ij
zJA5Jq|E*<G@%JscOXip4ULN@*1^@2PCemgvIHE+R>>tORseFfkANKI<tnth8JTPne
zlHoHs@j3E&Avf$H(>N2^GJp9OWy*H^-9olRiJg_MFH1_+k6G1X25~o#ZL`(0Qa&s3
zv+on}oH5^xW^9(T&fopwoMb$daT>ni>c0a;50sG!{|qssk!PP+k9GW0iJZ5r#q!i4
zoY8E7@3vB(&?6&4<i)jn_8ofWu?7D<C_fhLx50gJt_QY4kI%pScc~ctA`O3!&et{E
zZzDpb=AgD9lJ)T+^$a~r{-fPu{G2B}sBsw?r-#cY|F2L`yE5|Nzg@}*J3U!Oo2XTp
zb9Q&mf6tZm`Hz~=f7`-8X~1}#-!p$z`x2qtDLG#%l(ye5N`VnE?p}}@+aYh%^7O^I
z-*@(u6n9{FO6Ke-d+ssNI@3bZZu;lFc&3c+bkgE;*Qpck-GE(q&e1<B#<wSVx{Nz7
zyz^usDR7U;fB%5-F@Fb)`#6-3FAZOtvv+<ZlzX+DW&TV%JNG!>{ng>G8_qUb9a<Oe
z<kDvNvgQd=o(%Hec_otaPb2bt-v#(97Q=9U`bwO&9fh;hV}(0~2{@-a9_Oj22-9%=
z4<~jX6CTH3@|Z2m#Yy71xSqvl4xXREeYWrfo}WbiOk58O4|w%&6UGSF;O~G81M=bN
zIqtDBGNXaZGtfYL;ES!tncU^>r#SDv2xo_%c4xUW-G^~1d6IjdJ02&<@9?fW@pLDC
z--C1CliX?Uqd2=f-+jq_4QJ#(cfZ34`StLMd0wCvz2?cMVqma-IIVas&OF}>{-4Hq
z;`eY0`bXh+VLQ%49~Y{Hq~Ho6F<opXwi4TmoyD$VFR{NkNW54aE{^a%mx-5){%4qY
z0rL8b=ZT%fmSPTSIXInt5|p+IKY;R!=>0vAU@x>RBKrCV&R8$R`ReQ3zHT1QcmM4y
zcV2ZKa;|aCa|#^CF10t=%j|dTXYA?refDkk4fZwmwf1$mZo}_K?N{tC?G5%(TXH%$
zS2)w0kDP6eg)`z4@OHp<V1n~8HlGTIglut`_^7x{JS;|~LDG2XW$7pBsANfn@<90}
zd5ZkB{HFY+{FA(1-YjpG|B|=MTjX`}3VE^oiu|xVS{@`9$&J#V(nr!%X|NQO{uW;q
z$B0GZK4AgQU27Pb%iTI~-pl#J9&5*}H>`oyadUy$$1E}4Fs?QN#&-Q<{ZW04K0?1p
zzd*lKzeS&+zpekSYx;S{Oyduu(41m!F*{oGt<%;p`!n?DHs@z22V?m&e9tkE-BF>1
zc!T(?xKcbK2BdSPtEC6fk1wT-Qi+t3GUcxFaQR+&uKcn5yL?)XDm|2Im4}rNmCec-
zB}46{UZ>7bUs0E+E7i^F9(5bO*QnpAZ>o=|*Q=e>xUxo>tz4w&ki)gIDSajll}?B=
z#We8)tb!l$M!_G>mCj%G74{bEVr!Fmoq5`rZ*(zs=ri?B`eE%&ZJgFe%ht?PQ!1HK
zwR5x~+CAFa+TU70zg&MqKdBEe78$k1wdM~v^FP_zX0@?r*jw#<XNt4liMV4hLo3{N
zn1_pm%|e~fMjR#16~7lxh}qI5(lqHqX$Quut9-k>Nd7~1<bmkhQl&&GP%l?!s$Z(R
zR84Ig7!kNX@M7Szz^{QVfjzjk1l9(Y1>OnF4vY(27-$}-Rew^SQirLw^1U)q$yYYX
zljJ=4N9kJWH0FmSz6kyHqN})1Ii@|?K4e{K{baT`-!_VkWqMEj7wsCYG4*b0R4OC2
zKlx4awdDNd?Bt^4kI9l`X6lO68>!M%f9(w|sok$1)vq=-8zamOW*=)Q`udukvhQ#<
zJ6+u8U||R24U7Xqv3RSvNc>G~65HV2gt^iRsZ>gn`^#hGN96b9-{ezrP&rq*NqI{7
zO4+G2DcS1z>S*;r^*MF1x*9z$Q&Va*P!wn#XpgHk`WFmnYNdKm{Z0K`eO|pA<y~dF
z@|rSA$yT<@&tM+cOP}D4h-&dgv7@*Sf0O5LyxDNn8Rs0p+WOnN!1~<GHlH+_FgsQK
zE$v)wck1cXpp=%}l6*HgD|vr%V)C)%N68(@tkme#$EkSga&4)WsXwJB_4|x6<9@T+
zyx%%w-DU5?+Z>CWD(6CItkZ5^=)b>(eDwEKag$gt7DyN1oeZwR6PURJ<O%Z2@^|un
z*^rBrAsCsLl~u}NMNxaI*Qk@!IqF;LSL*keuUpjJ>OS;*x4Ki^sIE}oR~M*LF@Mij
z^Hp6rfw}%E-cGqr>7;1#2K4tLS%Xw3N=4Fkakkh+`~xeg(w&YsZ60$%&f9hi`(3M<
z^{N>#A2s5b$<6e&+TB_+?cdb<sY$8JQ$11zsphGUsUfLbQ;Sl2QbpQ>+MilmeSzMf
zk1@6wgUl6XYwLZhnf<D*IFs@24*Of;_C|mI6r$qQ;tS&Mq9%6640~K!EN#FD2jm{|
z)zB($%fHBn<%FE4oTuENJg7Vm-q$Jzltv|}7O6edi`0=A?c3D{)X5n0hwzz<U!&El
z)gfv}RaNVhf0Q4Tmy}7$2&GV|k=M%e<m)h-4@qy~tru1LQJgGhic4@N{V=RSnKRu{
zoj2|F_O}@2U(EsLAJ9u1potO~!OOLp)T-1gsXJ4bqz0$Dr@ElW6H`l4r&E2k*ECI=
zsBhQ%8J`>HnD1ltzHa5&@7meUQ_!_{BX%1VZiUTg#9KH|U^XYkj?%5tbJ8;DFR4n3
z%AMsaF~0MmSJudT<r*Ba%u+fi{lN8&%KgfV$`WXvtr+bJ<+M_c?`ox1(G*>=lmvdA
zP<AU{V?I2sJOn8XQo5qHEB}kW-T-|Ulvha4NE4)%(joCj@nJDrJSr@P4PS{jT4uUy
zoW4#s=a4<v{>7SZ3D#KiM`N&|7^n2_^|5-PzC~N$X{{_Rq!nsKT5oNl_OZ54>#9Gi
z@6a=iTaCYsk>(OJWG%EZ?1$|Vdzy39ImdkhK20v{*uO#_ygl>>j$U0UJum$zZI|NG
zIdWV1TzM4w`+@uw`g;Vk`j}iRH)1WHqx4dSD`S=Cl+U4mepe1+wEsr`b}Kuuz7Jug
z{)y*p`2I|phyLCU9sW1$(NWl<@fh3t<i7G>(md%AX@Im%oF_geUMD87u9hM?wbGsK
z4t8I3s_j3(>A%)gYk;-Jj2rWe%Z-it`Fcd(uidM)*75*cYf=p<L5o6LU!pyveTwm&
zq*v<K8Ow}(^IcQ1rdTD`RJ+!`5$}`T0lY8-Zz2673=v-!w~3}WP<l*SD(#nY<%#kf
z`B8ZxR_-#4$5*hK8|7WNHp{Cp)~oTo5!UEKxl+zm!Wg$JmG_l*Fk>IW_bz1xWN=V9
zrF^GsP>w3^DR(OODZ`W`>bxXRLtjVBF=-R#(9O~wakKa-=JHBmjW8b(-Nn$Mm$(P;
zzEu<S%p-QKHN(0d>-Yh)otZLTH_kPV=s)V0>84hz?bN>2=D|AMuU)C#rcKvA(6(u5
zu)z!TI(?Y&sv($@%^l`oYom3e{k>h_yyisR$KeHx6~2YNeM$UNtQJSY8t#&EFpnR>
zsy!&T$BLbd@hii;eF;|cb9G)|o;p!IsrCx=QV%Lm!JdAJH|4%m?u8AWfu7EWPI^@7
zrlcz^F^992QqZ^p^MNbjAK2^#auRQ=wU^!zR{`;sian&`!l&YgVmbC+Zg5Wn3+=S$
z09Sl&Y1SC)VYAe@*chtc%|7Yd^swGmZ)a@N-_S;B2Vi%<#Q5H%P0<c(hx7}Lhp}!e
zjjPemuguQY_g0QQ7bBYoeE2E6^AIr7WMQo^R%|VOFGVn(`{Yu22W(Fkxb3SHfy?_a
zMwSwQM!H$O7I@)9b)Nc!x=JlqFH!52ZR$0F&(sTHg9Cw&)GyRK12Y110*hdIPphrf
zHi6>6Ahl7sO^qp;@@na6`4wq{_@wwJ`uP#C%~ftQC&T{Ly26T@-HmoequxiqNIQ}W
zX+u-nU~7_zor!M~Zzh%|jwZ5_mn5erFH1eHwb2*q7aOX1t9h-NG~3zr_9#bl9*5U?
z0Z{o@!cg%Qah;ei?UOE(MY$g=%z8W@z`RYD_T!zusn8P@!X&XoJT0CP`%3F!6EBo*
zlh#T9KyTGcbLH8}&q{M(rAGtr1~v!Y3Vavn8GIqwJhU|Qcj%n375X<cGt@2g5?+UX
zC)7DOF!*mU7FZaFshgA!WJfwBX+X$B@m68n-H$c7%Nl0hs-H-Hlh_qM9Q!0TA~q#9
zA$D(URP6DlxlIMJ8)Ao=La}498{_NaPbQit4=0~X1+<acHTo!{h1t`}wmacn%8|mY
z;$-P^thR6EcFG6Jc=fQlRz0H@2L=b`tNqjh^?PNhd_JtaDFx-(@>ID_suT;wmk_HR
ziBl5|?&HA1)5RMkP1+;fEj=WOz#4`;M}0Mz2<3+#56_JJ7WpV5N3V(A7o8COEIKCb
za9Wr2nza1%{b^FP2I0Ndq2B@zt6`-;zEA2ThJ{1Um9}V>r8dTkn{I5lseW5svi8H8
zxz%f{)>Lh%8dOzX*`jJLo>x}KYlk$9ZQ2~WGd?IWHThX;fPSU9!rEr9b8Yb=C8oX~
zd_Ht2)DUt*bHX=921Q?q4vO}RybunBM}(RO7pQM4t>q5V6zKS6h^C%)-mwOoHHK;A
znlpg01Eye3Fr!w|9twQ*v+#@fr8HdmBXBI#H?kp`mR^#+GNW(Suh|oGe#$wKGcNbZ
zTqSQ>-UE3<bBAWvWImFyF0DK&rzN6$!@C0)%O8pbLaB9!ai6v^Sse>E=GU*T`MPpI
zMS0n&lVeJElq@c3SNg$8rEF1IuhXl_3(s6s`Ce6`MsE1EX>8&J?ST29bG7)r+*^Gr
zFf!CSGCX=TtvVx-S&{W<c6s*b?02)?%IuS|HSMQJL3n<!f8bpOI$eC!ZDsE?s<gLL
z@x-rjC4P5oR?~{6A7Wp|55)5lPO_)APMdFhWnUytkS|al57kAl$~={oowG4_SKe#Q
zmNkFAprNpTi|s9f#bqs46m=+?R@kkeSF^6!UuJ%mQI_^>q-FSm(3k3!(*5qWR!l2T
z)HJQCf2XE@)yy*!%ZHsDaN@nAuN{8i(6mGP;qcL#W7A63o_hcE&lR()`qpf(olxI4
zHX=2~T<7ZYa%}TUX&ck+3@vk7)<;>JvL4HRBWGsrvD^o83v<?F#?tI?hhT&9gLEx|
zsP|dA(NZ6t+7RE+^nJtRx<IX6b4T6O`b!!*HBM{NVu3_v>KXk~>tm-#9It#E>>GVD
zV|w<dxjmb$ZT?7sQFwieYl|1R{I_M#mivp-TJ9>oyl7Ct_sw5uwlL?R%xUQ_MxAi~
z&}{XH?22pL$@W^anYkhLVXR~0PYsoIYisJOZm#;P;_;KOAN%siV@KK^-FS4w@mos|
zp6qn`P{p#U0kxHNGa9m*md7%Z&l`8RPblkyv%>$22GTFiXvp{{V@F0=M!O6t<Ef0<
znG3V-&TOClLS%Sww(^>IhnwXrH4p1OwT`JnNhk3rW`CcC<8|%oX4U>(*Sm3VQ=9mN
z#FME`#?{ttXPGcW+NVqjmPO`f^vzk>ET=#(I9B*gQHSCsEuU<8Rm(BOD_SgR@mtY`
zLaFef=1=CvvW8?lmsS}$5Iz%%s~u#VvT-KbkD9H_FZ3y?^@$y^o16ADG}K4xZ>?#l
z7+AKl<ndzzkB&Yz`NZ(j?k883Ew8Ak{Ji>;n!R=H8a`}T+te)izOle<Bfk<T4gDN`
z9ig1VQ6=q-=z-`fY0>mm=~FX4%lImzeOk+Kx4={K3h_(#3;P4Bv-yeshxSe?m3$=e
zT<p50`3(=$KT}`cu)S$wyex4l^|RjDJjdSWM8tXWX7%<^hiK1?i*i0}HmX1^npm{2
zXjF^h;`599wis7*e~X`5EH1je@Z5sZ=C9`dFYBN5>gc86KEbC07b;QdF}#tkJDNGf
z$kYBvbch9;y2c)DI?ynn;q$sXYDSmGN{!<+$4(z_JU+B^$;rj18_t|xePQj0x`_>!
zHvZk19eXkHh2F*<E7mA&LJx#ri+mS-KiU*IFY-#{$;kgAEu)K|!B$6yMEZq>s<%k%
z+}X}>Ylkt;*r{jhccmUoZB9;4437QXSl0M(Q(f$b_{L<me%QRn9_!=_gQSkiT6IgX
zb7Xbe_RN8~pEQd%UzT4|@L}P^!oG#e3fC4LD%w%_MZs_RMzhA;XL26Tz91`_u`k*+
zQjDP9I{94bBXPR>kh98q$ylQ=(N1cC)T4=;Vjnd&)vu@<U#Hact$eyHQZnQCQ^#LC
zk&BsGP`2vy!HT@9)-^rq9&GFxTNYa#AD_C&T;M(?4-G5|wU2xg?Vt8qTDSCe>941q
zj_!+&PgBx{q%BHo9o-&mt=u4eD7@?pvig~Q4O#yo^<Hvj^7TZ^ctNbT=~&a$*sJkN
zl8aN0Ho$z*{@YEH-ca@ihKK$Nhtq4acIW=n?5ct(MQ+i(MMsO$iYFH@Z*jOVS#Vpy
zqWl+{Z)>(A@0#4|teZ1FiVhA113i^9(sQEaj&r8qt^Sr~rS@9#qQseavdOMrT-T-k
zgSy<B36*wvcG;#AUmQFC#B(K2mVRBDTlRIuuF7C__u2&wrH#iMcQ*}8F4gPJQuhkw
z=b#b#HoP+`r+=C@Ho84JHEm_|t;q4{bLn5EwT+gAp9<Zrc9aGSe>x9Y9|9><=vV5U
zwbxR=C7(&$5)a02ihU5fJTWshTz}4JW@BGVdPsg;jfO@>f@u>oe#)MccV%<Apl{J5
zEuL=iQ_=3CO+}rHUMqa4KrHyY`Q~O{=FQ0YGIMv@tI=!2Uj(j}cZt<*-2T)02yvM`
zM#%h2|2y?^;-1(WjoTXTXv}WRsy|YlUv;`dKb2O}tEBSeBd5lkI&kX3ir*?{*7U8L
zTfeUUe+}0(ecaS3{(9=5)!Usd-mKgm%nW@Ivcu~mGa~K7FNg1r{29$mdnWCgv_nxd
zygvB7x=p@bx?T9!nPh)y<yv2x2aFT?JK8m=>yn=(UP%m1{*ZcF?_=I%mD|IG=cQ4K
z61XaKZp4ia&PZkr$osf?Nq(2YJBxM|JzVrm(Xyg<iasdJDO_9detucAFY*TGCbL$g
zcZ+TgWdx4O5lIo3J2C5!Img(o-H|+;Xoz=cT3bK5uBvu*O<mQ>$_8v>v?|?FvgG8v
zQ=Q8GD4$UAdqv>P*y?_@_t&1OZ`IT-es^3?PBfo#J{CI2G39CX9JOCyTIkvEsqpjR
z{K&15OQJ2K%Ob&u8D126SgnP>-&X!s93+fKlrrDB!3vvmjkooU+5too&eJC7M~qvn
zm+Y(YH!qGmZwfi`b*dHU9=;-NN5<)_3ArblP0H_*KQ3R-zYDL$=M;=DREnAk{>rzS
zf7N_P-jCTUGR{l;Gb{&dl{4~#@(YqAUgdsn9Wu6P7o?gJR;;2?X?VZBs_ymL8*7$T
zAFm8mSY_kN29-@I8-Dtga--sw%2U;&>&DloH?(XF$EL>m#a~Z!)6cUSoJsh53vqFd
ze4jc{EmqG7Yz&?koE>~8Bu2)Bdxlm8+XRoPmnd_UJCvv7)#6>)W1Itz`&s)8A`5Gb
zK1R?Oi`d8uR)56xzH=tKbA?ILXZZUXNwqHYY4qLnnVC5`9dbA3UXpiVvpbtlZ2oI=
zG5`1G8CY|H=F^+qn727+f7XtSU!q@y_XU>+jw`+7H>5Q}AGgVxWv(*>{i)Pv@gA|p
z#;V3t<5fUmJ8Q?*w5U2!F|i_4an6}rDmPV5sOn!mwYFPbxBAl!7d0)%^=bU)#IU5T
z<(awm_0V<MVo#u^KY<!=ktWFf5F_iYe5{@c4iB7GdIv5D_EnFHH%rCJE^(+UyZiCi
zH*R*@yHgPXZ*cy^-@16;S>jykz6bxmmlTtF!VBsU*c7Y_&%jDPm^LFLo>`ssQ&#)z
zpR(1QaL(J=(VPxBr?b~)b<7%;*)yX}`ZdujBG-jB28INpYAdByED&+J#(vD&YJ6&}
z)jFj<NMy$6#O`hSy773OT&LIFQkPp>R5h#W@#@!W=GU&Md8@8j{Ywo;8g6e)Hf?Qe
zXqputmwXI<#5ni|-`K0HuydDCDwGRNVii2oGHHR59@wEa2g-j${YDv#`01zeNU6KD
z2%fDXX##!S9oPYR8h?GJx7$Z}SbRx3EPX7g@Za*4$7DyT4lW2y4|j<y1!7p9UX@Xm
z{!dyk{p0kJ8Rw)gNI#e{I`fW<iD^$p_e9FVt-_;%JJq$yNTq{3U3eXS&$rISmTi1!
zEi|vz^HW<=Gqownsfn%eg|WLD`!!a?ZfttI;rfPW8z(llso&WUjdh5XH2u*OPZ)`x
z6LS)yQ!DkI`s>;sDMSC*o@pI62HI_f4}_cTbT>=<T9}6@MLA;bcZgf1z48xISR5fo
z6j{!an#rF_Ef6DGDdkGvi?=JH`hXmi!qNlqL&r!1;H#D(0?|W#JTOr07&s6}1@eQv
zgMGu@!u`TK!in(1k%r)Vq4Oi<;fI60)b7FW0-uKJ1FMwPYB%+kKnL+r=Q80Ru@o<T
z?R5sZgYma(9Q!Ie&0K1HV@%W2wHLIZW((u@M7z`;P0&`w+r=M-6+RsQGf|Q{tff*H
zYh{|Q1&tnBGVzyIWjaQ&9@lf7UHJPlkDJ#x&$_$qfp(t#6VC5FB;1FU*<D&JmPtDh
zIi3oi>kaW8;Z;$R@0a_)S1(jfNsHyMTqS-iULduRzYyok&&r+P$4*y1QAa5EiT6s^
zD<|bPp4YoX-V@jtn5OoZ{*b=FDp;@V7E0xd)E9!slw4_+biy5{h=Jz98;&U6B|aoh
z5!N_&+xO!@Lu<REdDN<QuXo-yezRojY5R!tfw4JdTkC`lde7Jd=NI>o_G03weT6(p
zHxh3fN8LS+uJ<(FwJvn-vLd$NTx1V-HaOj#oz^_7Mp!RZ*(1%zgv;fB+>gwa&MZWk
zUUk|!pGqs_m{=w}B!4d&&Jgik;ZkXcaGSG3`dqq5Dsny&S1Z%-_kw<w-wO=3ezYg3
zpQ&4%ckL_G7V2uuk5|OTKwO-mjZ{tqE|eb<9#*;v8=M-|k-9iN#j&B2LZ-P)&?85r
zJGHlkk3vtl=cL{d&je2(rj#xp6|=3lai{XAdv0R3<0$K_Lz*CbC+{%(>OF;FqG_D3
zzaX{<UgvDq2I(yVN5tc)uk=G=y)@mbaZ2Qeg@2R794%VyY}bd|Ycd}e_Q%4~Bk8B@
z3*v7ELg7)`AKKPHSpHf2+0F?rHXk<Di`~^9Ow(AdTqDoWS2-Kh{o;15$ZZi?EpE{2
z%y95Mv86r3Eeq6`2ka4%)lyaBJK^5!H>KAShO{emBsJK&DOBR#lbj-kL$30P)l%rM
zj#4fbesRXQoyD)k&GNf)b8C~(RX!s1bgnW#v8&a6?f~cAL|eCgc!T+>_LTFoyheOa
zzsJr9PPg9GE|DgMqDHUe1A(c5?Wyr*DqP`QX<Vh&I~B@(&LVe{JY0IqJ>tBtR=MX3
zql^pWN$PvngW@I55La{FQ53OBd&Hfrtakpg`s=5KmxBF_I{ORZ0;5>`NEs!?blEi1
z>a9@I4N7+Q*QsIgyTb1T511K=*P~PA(OQ+zJ#?9KOz#nF6&{xyp>It)7Hnu7U`@{W
zUH&a~$f#A91>ZKe;AHJn`l?WgQkdLhJS~5wzAb;0dcl3!{x*2CTc1eSqVi|(N$cg*
zK)X8fybz8<ewjx#Rm1;C5NvP1pL#ZYyOg0X6CQw`9Au8O2dcMcRG60-_uB`v*Q*oa
zzb3|HotxFE{=PHcWj$B8E3xq8oQ#UR1;&$At%EmajBuVyv~gBM$5@{yE>*JB3-w1*
z1;KH_<xOMERK}amh596IOlYvYLTK9*Q_h5!Du?PHuoGGDiO&nqCwc@Xr)|&=33ph%
z)i;zu&J$86YmE84To;{ZudZyST$y*fy0!dbyG64l^04}?sfx@G<m|+aZnf~6Y$ZbO
z<LdLqDEBYyUiEUXN#=x8_6Gem`<>7=LdW=GX>0)J1)WFT59FKWZSop@gwQXrRCy}7
zOc)$JWdEoOft#fM!Z$`hc~u%BUT%fu&B~N;*P5<wkAn5~Jr$SO_qF`p_~P^@O1N-A
z>i(K3fdScjlP}a<leIeXS88%%eE2Q(Q#(68Pi+w_)TSDnf_v1{`d#|U^xo3DslPNe
zqi1+PY@2y1`eCq{-l#1M{Vvb9?u~bpk3>)Fn^VJGIdrMGL%&eyCm$33(C0e0%eRQX
zSU+feqB-WX`n0ej<;50Rm!@4TEROGY{|c{@GMXCP0g>hI-SPQ~9{D8MKGiRJk7C4c
zNZpnBg}l6>P`NfeTQ5$H38)!;5%d09z9w{w^h?u+;-$ff@+*lerJvLn-S4F7Qrzlp
zC!O2Fn)GG7m+)AyPhhb=+W1R7rmqz5lC}#kCa<&Z&3;%tRduPmF>9o{q-KEAHZy6i
zk6)%PjqKH0rWQp0N^8})!5EwVfbe<j4`E((w_P6Zq^^zbNp-RMBkFWlvQb{Dev24%
z_pIhpac$V?lAC94Y8Vw-9_$exZT*=!PQ0!1L7{o!o6h7@H%O%|`di<ZeJ@^{_kq>6
z?pmcd>t^esIw_nReAXE6?ziR8%Vs`K=T<nIqyl-6dqv8Ua@42XlEgCg)@abE)+VXf
zNBSh+YHG+TjUH*JsUO;WdHVSJI%BE2SpLn4N!Pd?Q{Rc7q;(dasGF(C84GMP0qM$D
zid&t9?tRuev6-4_jFG-{9vAvc{fraJ=ki5B>DNo4w29ilcv0YsjBk@|>%NX&kzH5c
zHQqJ)S?Cq*5hJROvvbAM*q1i!$LtMqJ9(7$qWN!RuR1)|-~1#^mv5_E;5?UhBv4Yh
zTWJ+JXtb2N>NlvrSSQ3^<ZGL*306zPr14sR`~k7Q^hj(~;Fj<e`a8yaXF&FmL{F_l
zs5m@OPfON?A5~wC{j4qu9y0`MiQF;m)5LGdQ{jsvqhiyHae)UylZ}nZ>y>Ymj{^s5
zuXBIR4jcD4gNy-@o$}*}rQ#9!sJb?}%YIL35h~O!)P@HBk<S;?>z)YTnv>Hw$r>t0
zvfTO;O|LfV=7y77&A-#mXkDydrSs%dbwh$fGP)*S)4q3q3w<U26I&wZOaHSq_fG74
zy%xVgY#S}Ghs6S+n}aVKi)=_xeM5f^am?YhbE5ytG*d_Gu8@v4d%|8^dBVCPcYiS4
zl!)bJUlCZC$Ts^2<_kmg?BI)$r|TQFJMxOcZ&!?n-`adn_UVdWYX{}E%I#MtHC&J}
zD1DBep14{4Q{C*eQG3{3le5Lk@;=ihG@Mc+>66?u4fEySLSx0N^d;s_b(OTxU8k**
zpOBt)HabV_S<W58NAh&{ZheF(%eB&F`iIF4!DpoN#W_Yr>VxnH;ZNdsBnPU)!@1)6
zh9~6}N_Xi7Yq$Bk^0oVjlc9WV9&)EjGXtg>PK^mQDLb`qv`0c!^1P-jX?J>gVr~4q
zaCP|JWTtjgxK(6r{G;UI;GFQ4iR+Tlh#c90U72Ts!-KD;9P`o8E_aGi?5vAC=TyZ%
zlS-m@xO(ha@yU!$#+|9Rl@*b<QWa)?c(U~{cE}Gp{~CSeXM;bw%Mt<k9c6<%&+TB=
zBMSbR^1e0NU967^<cWu!3i}Sbv$WG{3~YDuQ{Op#BVPpD*Zyw)n0AHoV7#}PmA=Oc
zC1<PWD*4XsDO2vI#+;#Ut@#7qVJZwh<Ng$XQ+YZ#K3JaUrEdt72d)>y_@!=|Qiy1G
zXW@`G!(5R5y!2wz6UNF6MfkSyGU2(5S@!$!rNL=|TaycnMS(+s-tmL>&7o;x8?DmW
zo8HF0I&m!A5FBYL4KGKgMk|fC6VE8uWn|m!lQ%17;BxDDa%1>&=}NmSaVw6?FH2>b
zkI8eTA@V22z1C`ZywzRGbl1sM#tJhnvdI~c{KuUgx<~2W^t3e~)Izw$JqPD!J`ull
z9~9mfdnXNfkK9xK)V*Gd2G%3`KR_^31I1&?4snao+k7iHLHNKa65bKVx|xWf=W4fz
z&mn%^#<<&Q9ePpvH8n{X8Z0v3Fgv)HD-F<(^Te=}Da>}4OUuoC<AnTjbXNTR<Qu_v
zGk?*}Z=4foo2l6O$p>9gZ7;v%OtNN*Q_M@E75Hn5&l)q#ap|+2G0C5to6=?oonuc1
z%EHr9Kc;REZw)Su4|iuM3*Eui7Hh0hYZtk*@E86D>iYuE1otLtwD$wIC=FV<HBWsf
z@^dU^T^Nz%uk1kMLOGeS*qN&Z;t!~AXABYtrefx;!nlYbq>{(6=hGwdn!MB~&{ZJc
zMQ)BW(ke3ht0$t*o3A!LCoKrSBwwYCmNux*7*FH<x{0!2?$mA!d@Fw+Sc)UMg}Gk^
zj?}eI-jw!jWOQmoqJy+4*jpMPKWHo$`ij>EBGP+_Qg^gmA@Z-Sd??HIv+gSCOZR&H
z8Tk(3gtbrkTKdQ6qwmh>A4nwz=qc&`zz^m>IF<B(-bKy{+~|DcOcG=EC_Oh+;{0Ou
zlTHf5o#Spd*%4bB&x#RgoHfVYZLSNHi;_LgUN5W+<(QMT&SD~Xx7#c6p>$rPyYzQ#
zqBJrx$7xDkYMv8*L}?x0C=OK573R1zrB{Vv)=F`_^PRHNdfp!4P7pr{zhb<jm&z}P
zM+-kRJSl#Ww%gf}+-8pqUSM7)UlnZctTFmZ2ZPh~{$@}4A@@yF3>L^!jE*>6uwTk@
z{%6QeqtGX!7&jzFDcz$RLr0swx88Pd3+E}<<IKb-!vE60G_J5$xwC>FnXS!<ksbQ2
zT7T($X@>l_^`hNP+~}?f_OU-SKClaeiu;K*L9DmG7at1z>7;AdD81Fe&b8KS?i1oN
zYrMT(u9GKAW0U=ybr~NEU#G55&JKQ`enYBPygK+`)<`YZ_<&oI)k&(1|DJk3e4Y}(
z9<U=Gu|k2x(ggQjYk>Qd`l550c)hvMdOmbq+TmQHY0|7ve{*3fDBT!()%`AhDDZh`
zK<YyK$MAW=b*UOBit`vF#i8ar^B3Xyw7;x}YP&>QWnP$=mHJMZ6zXaz$xX^7ayR=6
z{nOx$QZKW$uu!aVKhjsok0=AI^W!(Aosil%rLiudtE2T!dQ&%hZ+MCDfHu@!E$?vW
zTJNZZX_o$1JY8~wqV-TJU78ni&GmNcNK5gkvECT0W?5^^|0&CZEA*xD+48HIU4(~|
z?d`eFYUS?8IA?C-PUD=Q7Ot?zyLH%~Sf$PvZqx?Ys<Pd<L%kvGDf@<6OL;Z(P4lEy
zs+=*0xlc<2GBcYN)upm0r$x194OfSM57%4E62rs?gN14fqd+@s4$FKcFgw*YStra2
z{b<$4v*b_1>x@eMpTG-gZ4+JM!HiDM@5bxqYI%)ymHR@VN;+g5Fq(z)-1}2Q;r%=<
z9c{WqZWa1Xtx5JZij{qV_ua*bpWRNudSR-uS^iE@#Rjd!xm8{-9<#499k*WUDm|+H
zoE+s2Pv583HGJ9FGSoY5Vd@9%i(pDPVXwBYkIa>BPkaiGAt5eN@`YQpa=Uf<1>tL(
z-i;Lpo(cE0`Z`_gUGDb4aq%g;*1STjP^Op*odK>bT`X<GIlsq@pOV>;%hSvBOKQ#w
z{+KmO>)JFjv?DS%^<%?#;cjW4YlmXp)Z3$R?YhR^!GY=jL*)2W=AuAe{Myvv$k1?2
zvbT1l5|oCSC)`(qX`*gjY|E<TRvXt_=ZSqnYvkp6>(oGDTgH58YyCgw7vWxtt#@(L
zrI(H2juGCd9&Y;9?jK$$w@gj5W-2@MU-X}&*F-KzEQ#&N)+33gdzwy$f01vEJNmxR
zg!GSXBh@{SCoeR6I$ybOBc^?mwI{G!&T&pz#{v^WnlReF)Obr9f>>0ZQ|ex9grzOP
zj*-`8v*|lyMR1pRQS1d{nA{gT&QD;^d8)ixIHDaA_XZA{bL!p`d#Cr1ml&Px6@fRz
z6}B!s0{P*+I`Pre&$gbvUVh%V$(7~%-Sdq3?ks1Kxdf+Lw%gxHyTxA>#~rH;6jq3f
zoRP+O`%SghT_N5iuM(fPXPKjwg=%Mcn>Hhvi#XatZbYA9T%~*w>>QYDPj{-!67d^x
zi?~IoO1_8){1>5{lxEHf{UQ4^=__ZF+RLs<?9v0#9_ep8=f~cV<|4N6i2khdLEr*2
zuBD3=@))<&n(jUzb`j>t2i)&W(S1F#O=y;wXv~USrVNa~k_-h4BJ-^;gsVc1@ENRT
z$l9+9`YPd&^sM@NbZg)?=@WahJHx#ik+mmr2G20hI6Ksnkza8RZn^TK+rygU+-%O!
zORbdiKk<lryYz}u?!GQOBHpcx20nNar-$a66YWf8uGr7mX$3=f1v?ARo0khCl@HvZ
z_8zm+`P?m5?+LVZP5lb9xw}9qR_3@5*!|@DmHW(<#*fMz>3(CPxk0)B=NqTXE#?15
z(lvm`wRP<?w#`hEiJLUFZQSD4wsC9Qwr$%?kv0t*+s4?Q^RM~-r%&2x=A3;t)><3q
zec#o}pW-g|&q3z-vH*p88gNm+Ju|(ZF+$8-<PP%0I}~jNwrs)X0V0Cw@8%D~wZ@-C
zhG1VIPy7VHk6uJ3dxv>@po@{Gkmar(yC2sXzX0j#>x>A|jlMCU3O&bf^v5A$OcHtk
za~n%ScKA1-Jj@Qv9ANyB05i}Z!$kk_l6`z&k{t8zM`z#;fVJO42P2m-T`(Jcue~$<
z<IsHnIAk#94j^HhF$du76%W<<_aYxLr~Ogh4*q$VFR<U7hHS(BhiMB4p)|D89|7FY
zX0$)r$H(&T2ei&CBnPEo)`IHrM8J;jM^E~xe!F*wzbCxc{^|dTJjWiw0J0jeR4dTG
zK94^d?dTipp9k;Bwjv+V?T8D$F`+NeSU7?00{q)$0QbIt(&5Sd&_n1Cz`QPp790n3
z?JMLVy4#Nh#P4f3a}NR3@&`cM8sVJgvwyAs0P-BeLk9q(bOrEaJpNPY1YmMT0Zy+w
zrXR8Z{TGy^3jik^gZ4#70<J9qF+<O$f$nw#C~yx21oQ*ISXHCH0LgLHzY1kxh9VyS
z8RQOTFJPokA+U=FRK6G)jh6VY0%A%4&t8ei!t_PXp&tQ>unSp_j)v9hJ(K|qSqjnz
z-rTPSlr;{yk3?WLA>V<cI2zu>U-eHyCjv%!Hd^g}j?BdzL*Ai>kU^NINGf^)aUna=
z8vj0IIpzi6%DW&bFp{UB-E#ofU4nLnemn<wX%B)2EQSxAk2#9mMCYM{0Q1rw7`Z#3
zhDQ(z<}B2BGaxdpfb({NrPm@af#=GF5j+fdY!iA8w3gcf4n7efVH%MONPpxAtgv;U
zU9b)?qXDM)D!@tqffDP`Hh>Hk0J{AVlpA1?{)?;u9C-jsz7uePvyn4UmoxCZ&xjik
z;9~(ZZU*h;Ie-Aaj9y14BO@?OOnX2|uLX2j2jmhU^LqpKe<UErDNtt@;F4wo;`|n}
z5|H>2fZ-&-wOgUy1EI$+06yG`)FU<MbmSa{h#3Lw&~ccz$ULxyB4GE81uUixxq<9}
za`FNFJp<ukiU3n@0&K_*U~ZMd%8vkO`*na&y#+ZU*T7iJ1N3_iv~VI|39|v+xEcB+
zpxm+sR;2-j=#7B6i-M<b2QBWQfb2gEsOWOQo9n@rD$oe%r%Pbx^N@JJOVc3}<Pc~}
z9(n;727YKY4(?e8Y^$z-dT)n(g+2=KH5LQ2pc#}9{D6F~Lq`L0ek3pr_drWKgN>%3
z2a$8g9zbe!2JB%U@SCkLo{!<P5$y;TBmo9`DcTQeWknUpHOO`u;IqZTs0Fl#7Jvu-
z2LAV9h${$^1el?TP~Sl?4#R<c98g9mf-IeM<P@Of*F))zz<u8X{o5P9eGXiK!7v&N
zfnz-kdjA!$2xdb4H^InYpmzdX;y%cAK;w0RUU&#si~zex0bb)!sMk|83f8+E@WOKN
zxhGJgIIy#2$VK!HM4)2e)l;C4M?w90&`TYl{wd%ClY#Hh1m7p4Gr$(^fyKDc;eg4z
z4mAzv%5(z0#CJep1{9-|FqRtVpY>3BM;Ofzu$oDb=Q9ax{}Xx{jf8UXfGSIaw#`6B
zgH2X}c0LWPc_fUw35^50{0?Yu0+b&Kes&J+1>;u(*C@djexoX22knC~%s_jBy>x;$
zN5C0;F2stn=mYcwdLQg09dzwOq0iM|yZzu9Mu@!u9jq4+Ii3Q8ssy+TOCc9&H>j5m
z${z)a0%6eR7oa212rZm}-T*FipbzZ8#0reeB;+c35Lg{TBoSt<o4}^d1}%aBw>ZE{
ziiELw0~`<vk^to=!X0lRI=+BtQiSe=5;7qE2DJ7@K~Dx0Y2!el*$-T`OMn-94_EyJ
z-SZa^hXXkS15ES1(1MvT+F0Z{oF}n?vzP(>R{<Fau7jUGh36jy27fbHm<_z49-hAq
zJn;s2*deepJSfE*Aub$7JHgdth?h-ZGmk-!J;3xZL+!|b#<D<(c+iO`fbWb@-__7Z
zb)YtX0(96PfKL^HQb8uzT|gsN1vV55XSqb+)Y!ovjskLT9Yn6}P|rIMJ?p?mXuzcB
z!cM&#lw9~fW>Xz_S3W2Z1nT|(TA2s+Pli#afgRlgJGI0A6QLES(U&kH4Zsb#2G<61
z)CLqGH1M<lQ=b8ziUTix0H4dCb~|BgQeg~M0Dq<$?kI%%#{vVW7BKA=sB<;+a}l}<
z+VcVCm6d?gd=5PXGZ9!+J19;1zqSOJ*;cqWANv0dApZ|R9bUm0q(FZLRPzG7axKhn
zV)(lrN(ks#yn|~$L!Z0_TMQ`QyoK7f1FUZ#gQgr9If35<vc?8RJ;0K@1ns843~>&w
z4scezP<p^a95C8h&?XP`$O{-%Bh)#Nzq1NHWrGTZ0=z31Y9R;DxB)$e2fMrl_clO%
zJ#b%u2_H~)3uq8%p`;49`Y)9A14cVwi-G)%eDGW~w1Ep&AK;``z@2`mT?zQ$AK**|
z>X!<oB7lMnaPkApYa7gv-N5RdQ13vl&<`-j9)jzOAR4xSosi*M3V4hFJX8j8!3M1o
zf+j}-#L>Wr6@WDabZgD<lwx>ZKu@R|*!@JXz%r;20{4D{QAhvRl7MQ|3-H!}`qd*C
zpMVCq1?-3lkv<q=&@Xf&)S@livmZD_fu{v55Aa_QUxg4K10218%2^GJ-VN}eX7GrY
z@F}3-R0(y>f^iFIBzmB4QovIiz}C{By%zA>fL=xoT%QMX5gArAKj0ocwDUOhW<V7r
zpa78qWd_t4F2VB=sM`nVHyb(tyx<btCxe;yBdBS3AiC$l%H%6tV+7ACfOZD-p#lm?
zfe|hNd+|a|lHmsfQS8zGKEY`@L=rZPZx+O2CfHa&TSNi({eX4^)V`8nEX&}Y46q0-
z*a9AuE=<rnY`8Y{e^zFKXC=T@0j=C$FjhLSK{HrFfSZnmXdhsg*Fvd9P|tvOeS)}=
z0`=8EuipfF;6ViY1!e2u-Wn+T9h4SO&8-F-PXbFTfbSBaws+y_4)A~ysG0MBT(E#<
z)Bm$g{m>@?ZInuQMnK)?F+9Hp`nnvRkpmGZ9G>wOO2k66y9PG#27X%yzJCwKpa9z5
z2=)-r5E4NA{s#6k8D@Zc5FawYmw*4S{Q)hp08025#F=;Sn<}VDF<4m|cykTdOb+;g
z8+t?rpL{T40R<2@)T$7Ay&7tg1ik(fVtGF3!7yNzNP@TN)o}d-c>XK+-*d1}GmM=B
z>cs=k(ZYD;LHobL-?`8m0Tmb$_)<U%Djebm2JG<zM4wndSN!yk1n$s0Bo{-#urWp0
zD}Y&E2$<G8m~^nIS$>62;LY`{^L+Lcd%k*U{?X`Hqyb~We#dPBMob(0X52Sy66PGT
z7!CCceUrRl-bPQ9ce!`8FT_6&dSDtLqDi=GfZ@N7TZ!w5>jxOk&9Fi{=QsHJ`|7=~
z;B>Ax@IHq49sWFY8xo5tz=QzvVm7uv)`{7KF~H1QijIZZ;5Fm`ndm<TJSP^+ZLeS^
zorJtWN)aoZ1e#!N@Df=B@vsGK<RZEZ=H6atN4RepFc?n5$U0#?F%H;;8(~-U0oIgf
zfjhVmRzbaBe#Am7&j!2y1D5&)M#lnkKtK<w=l`;U4}rP98~jX%wMigncR*(|pxc}b
zBbf;IJcD}z`9L&aH4ca-|F0z)&<&%&JmZ6rPW_(;eE^$GfzKZy|IR&N6P|)K=1O!M
zM2LrAQvrotF02$kBSK6wg2nvA+`?+H)tE?J814`*2{1p8v2Cz(fj1b3oJFx{PruLC
z$!GIk_ilxs60gU*#Fykd>6gIl>O=P<KER?+hMX)zFs(6U%r@|)eDJe5s2pwf2g7`_
z1U$)(ZUL6qK+IUoHOTv70#4j;U?pb3n(!yO2MtD>AS=!u;P@;9PTosDg8ucJ{L8`e
zn!wJ-K~!!BGZq1C_AbPUVptXJhq)yYV&Mz0@<5~w=(Ys>rwx4S1Kd?S@(Fq(po4TA
z7<r>1hs$AT{V9ly&!PV#Al7hUCA}ENF$Q`(7G^mncz*_z8c+;+1|EMMt_!F&2W%Y+
zPY>jKP($<!DBlM3hXS+UVPI@dLC3?V0%*k<hzMa2lLC6DondxkK*{mo<$-M22$Ws{
zZFvGEzK2#_g!_Mh*9BCr)1Wjj#6cglrWWoBXi(pQ@%sbO?=0{|H=x7NfzXS60lm`|
z?T1c--OzGqRXX%QK3r7-QMLoD+GYVC^ct+kpCTo|1^okip0Qw845&#dtUw0C3Sa~9
zHWvfqG!JIvC(sK@SP#a-{$@Yqtyu{>onBBzd+3WAu;Zi9XaAt-kUu90SVJHDk07JZ
zVEFwuh><;jfp8esiyvUcJQ&t6(GY=t!2aMI^zJxlML@TJ1LH9ic1ZnT$J8DAuPaz}
zILrn=z?LiF+S9P+JPiF1$f>j!KCK1b>pb|p8r=>5zXhe-hH-cZHc$f|RSxCRVYMGn
z?}`L9w(;N}Qy}_vg9w8IPkaR<a0SMq6ZF?~=&f#0|I^SrT3Ewvgg(g!&lLgBl>z(4
z&CpxzAol(PIh_2E<;UnR02Id}7`?u**7*RK{fod~c@BHIeHaWT5xjUXJnaB@(^lBO
zw1bn2=dhN$0`16xdHgRL4mOkso_PaCs}~xBVqlx}*Wct1fh)U#)m1{wjYB3tEh-Ty
zMg^=kJ%YiQVSI+ejOT%om<nDp3>BhcH2!~F;6o6ZiLh5&3@iBekUz)?+`}rQ2>z{r
zmZZRG!6IZT?2X!kwFPo;1@wyEfi)OlZ5{-x{3#HvUc!|kj0-U$-w`ijgWnv4@~%K^
z?gYNl0I?^K@#hhY*-IFcfTmLo^f4873VooD1L}bR-MS>0vrm9+_eA4R4xBjDLT;o}
z@Fy9vDUFBhNsl1o(|*WpmG2j$5fBAu!uaihQA>fk1m>Ih(0ebz7MalZQ-HC#2J$|g
z0Or?u%v1Q20(=fVrWdfImSWFB+^NRq17a%&I7B*ZE^t3~0_SiVoU_{Cj+>bIz<^{!
zl(qvu`4zBz-T}wy9E|2fh<;DO3$cJ~z3Quld0~oYzdH}k&)PWmJJgOp_U?AJy|aCU
z{V~XqY<0A98k~i$$L>9zQC=C~`~LX1!K`-`=?J4f8hZuaML)&$z<<S$0$%1KB9HW&
zG@V>do=PdB1XHI_uTb|;=To`VY|2zh5jl!{kwhX*Am#&uC;`~GiNH;^K`Z71KeQ*d
z269&Y2XT%9rw4E*hSJaz{#zgd<MHr4quo4Lts~hkvNPa(T4woX9$>CAeK9qfMwri;
zM_U$IH`vD8&p4>A{_c~Wk6sB_R62SJ&KP0<@#ewy0S0stj)L!upADR*$G}Ic##0HQ
zz%`r!te<{>9V&p|w#C1}5plx-Z&d{mY%-b(jOTjaOW#vpi!apw%fAxcgY3ba#1`Tr
z33rKqNG)UnHIf!jFQ89jlrWUcQOqzVk9m*Lhj9WBuSyz$+CqLt+DQy2{J^!w9zq)Y
zRNoL!UqHD(wxwD^%nOYj4W0FaboaEKwIj9XwKCm9-2wd{1I4t|{MXXemS}J5{O%%o
zhQS=N$NvfajC{px#>U|U_}BOaz>i%-)DlONzLEswcI1BKb>tc3P;x$L2q}+<C&m!Q
z;(OqDSR>4d27fxt=&ih8J%fQk5bQbZQF=dn&-fnsvB*5kZ)_+0O+pOm8d*b8)B4aS
zGs2na%n7X1tjDbLth21~tO8~*b3WrN{RM3+6;C-u@)LUD2V=V-QT|lV2v>&vxHZ^Z
zXt=9$X^ywhn!Szl8#guHY~(h5XgUK}=r`JffYh%uIW2AMgPasM(c9wtjBbFp(5vvr
z2!Dt*BqKSQ(v@0E?N572Luno89YA)=O4~+b(I!zhQLd3Ukj4?q@k?-K%sRy6pXAee
zZoBWe9s-)~mSevo)6vs8$Ti*l%Cp6{1f7KGg_}V*Pr5=`Lt`@zG5@l3?Dw27?j-Jb
zZd+~!N5L7!?#&8e8tLn3e<)g#h$zLgvA@vqz8`L>^QJA*a>!`bC2CkLvzop%EU2%o
zE2*oii>yzmuWFdtL}=k?>H4w8V`jf~pF`w6=soIBM#zA;D<sB~KT=%OFuIYxmqBFq
zVxDB4VjgA6nNJuh#vJ->+G*+@N)$PVxQ$@L&BH!MdZ4d;eZ2<veOHFl;@IPu;@IS9
zaU65raq&Ihy?gy*00I3QZzPtIi>c}Ky-XaN$>DIHak;!Go|Aip>*UZlsjQ7mGrb!v
zjv^!F<F{dp(OBOC_a4V}tIf3DfYBwlxSEzXMm4bOFV{V;i>cpUAJY)pnAWtYg`us|
zH5&Q@+ablybglB__#%=0*wgqs#O>t%)FN6}#s%gkmYThXjp4NB7}(p`TGkX+IJ1~O
zm1d@>$Z^E>cr`W}P)0qx8{D<Pq*!ZzY>T&r*rwTPY{h^Bc<I{iS?GI+S}~LGCy7nu
zHneUa=Y5n-<aXrY_>cKaL0dr!e?LEm$L7^?=CIS4&2&HY31II<I1l>T>vhhvoi!2l
z7h2Xemevib`LC+1LS50h;%dd-%B599YgW`T8V@%IX$c0t*=>F1IPC7~D?^uI3-Mf%
zgPcn}M-OE_Vtr>n;q>5EbEood^G@+Nyw}`nj+uRvg<*D}E2&KK6@nGp8Cm7?x=%R!
z+M}$y%w0^IjUmR#fRg5zD=am(-cFJy58j`|<42MvP@CxwS;d@0-ey6m@UN(o_@H=$
zxR3al=(jLYa2&82?Kyo|p$tB4Hd#RUh++Fjx`p-&rd2voGqZk6_0fu_rCp0}6mBaV
zP!v|IEb*4MRP3xFH(YLBsoQV**T!{y_nLsql1?~C_EGEUtC&?R!1{5o@@DhP_*6k}
z!AHSmL0`drK8Y{nJ?8kJ9a*$tlr_XnxK0Swm*y(Ai><Rv{S5PUZM0W4Et+pyu^wX_
zW1ejL>Ad58jZDRNBWKcXvVL*52=0omNI0@TvaWKj{H)9>B}tv)-J(1}J}{kTvSrMV
zv~%R$1PM0Q-_AYOw%oW>bFx8I^RnDi+`C|Z?yKym?2_!NoR4{J3X@BERO0KjO;(-Q
zGQ-)&Hy<+}V9;afIMzUph&POnhk7rE1UC_)3gKMgRN*QiS-4wphu^?^&mF<p!5Yc<
zNwt!AgfAGrzl(dfy`zO|jL@BH`O-9~(bll2v8buM<(N)mq}UQ%^Zo5{22v`$52vpn
zMZ80npqLi4N_AD$S=BM9MzLF7Ahn2Vg?ITIpbgQ?_VkC8LgFP{Jkrs7(ecK-MK`i(
zYt8cVq@o3RJF}|NSEhAJi%)-$F(}KI+p##la#6ir^U=K0^$NXD&{N;ChVa6LAH++6
zHS%4Gmp+u3#f_p1!We;{*O|A6OW@ksQ`w7Ir<oCqMYJK56U0nh3ewXz#x>bC%_P&)
zHHVw#Gzja{>w4C+8!t3>(DgEf+s}KtVCbYvbUC+;s75v`Xi|t!y(-KSb~r3m-59b$
zm7<7}O%y*DoaZL7<cu>^KKUde6I+Px@Xm1tS;rV;E&tXfRa`0_o8OX^lKv;<?Vlyd
zZ&QY+ugi4gMwUFODsH41&f25>AMla1W$ZKjq2d!#r`)e7RE$(?l1-N)l6@kqP|v%>
zoz975b67tZ&*&#<IO-ZQpEv^d2ssJf@W|2C8e}5taoY7Q;m!3;`Aucb+cY<I<;L#T
zJI<ayCx%B#rhQ>w5)h;z%I(47>ek`05vdU~BZ%R{)JuciiY3w&!i(Gk%mV5G5*^RM
zVEj@~d*?H&(DY6_qv=v@|BCqHvw3A%uQMj6c2EBMXJrbKk&yK||9WY^+GCn93*J+R
zoliZ*9w=BQStmcBSfdP99#fu?x0kLJ{Sk!o^;|1Em$jJrh_Q-Jpsj^@X$L`qn}M|R
zEp$=st1QD!D-F|heC=;dSM4obgrSY;ie-`=<9h1Z<lhhPn7@;PXd9SMI1l(jv0ipO
z=tRh4^|<ia5lbVkgy*SE!JCzLBvt%ltTt3Rp%rq~Yj(b|Z8Wbn9ME2E{@n1cc2DK9
z($d1xJT!a3-;nhAX@}CWnRm0#7DSd^1~Jp)mf79}d;?9%n=9U{2oJiaN>@!&Ef1O?
zA1hG^Tk+yK&zPea1+@Oujg)@ma^fVy4{R)^hrg$X=v;11Hen2n+G@?+7NzEZmTees
zzG$81D01ulzp!%%TS;pu-D#s4c4iSfiF<+X6jn>}<g<ceg9)Jr)s(QM>J=eTLG5Jg
zgdaJ*=;_3%nDO2zPO@#cImFmeFVJ3Ze%f%amQuwkn_KiGkDYTpQ<I*R)|~z;>r;MH
z$(!o)&6CaT01?uLwwfCzz9~;p@>DB=6v~0}SyGA^BRIq<W3FaQpwFXqpw6YBq>;pK
z_z{@DzHaVBJHc|uK+;}r9@X@@$=95rp&1&?QI2k&ndk&uBXK=t7wr}OFryI|tGP@r
zJA<>3w?;5b{808l85hh9?W*pt-X2mI)Ir`P?8~9hE)tZ8!JT4%WbvA2nOw$iMyfGR
zU#?*{{jQx^v7@L<UgxZ%8D~;Ar;JM<mVK^hO4aS={g$ylErHGKz&|bN3wCo$5hb4}
zIVLc1FLL&?BUuj^lNsX~nT$&e6TJuRF!?k76tc<l)i&F>TeGyOpnhpx=emXU%H|`w
zHx`eJiEh9hBF0nO(FZd=(Pz-N(lV$csb{HT`bp+L-19<{^ojCW@R86GwL0v0s8l7E
z?G{X8y(62j)xHLo&(5~RTM1T)HO}U-J+@u6>@aL-d0n@#yr`fyt1e?uIwfsax;krL
z;o-^?O>NCLJyiTcY9_OR!{w_4Z3OT5UHOlBJGrUct-SMsDxq4GA(RLrcpF%J+7!Z1
zRO`BA9c;*GVKkj<h-uv3^s!~EPGszAQ2_Jhj3?LE;BSW<!Sux?;a8C^&^og`oauaz
zaD_BM&R1Sl9#QsE^5s3Hc=2}O4E_-=i*uQ^hw+Ts9^$|!oEE+7`Re#>X>S||JigWq
z;#yW!L|Hkcbef;HEB|DHrf_i4+mh9l8|of3_cpw?{qkJGL=(r+j<UM*xT5~jkqVY_
z5Aa$!@_%Gu5{CfCoyZKQ{!5I+w)bN_Esk%tzh<WKn(npcW6QJ_h31eZN!v>wX9}_I
zain;<BU1@)Nj)jQsZRP7mWn-^+l4<{m@j0CuSxP{3lzT;|0*9T;^o`LG(j%s3{y^9
zM!JGe$8?01Lx%e+qy%fQwX<w64$}VDsHhoHrq9pMlxL)6#AF`GI+G(T3aNV17_Pr>
zUFms-IZkksI5Yuc6>ADNUf5R}B%i3j1kG1vst7^fWT!<txhLpTi1U$IaO`}-X0|Lh
zTLE7yG^FX<==bW<wOZ|N-4*=_<9Xns;yoppd!!oLN*0E*o4cJmm*?T_fw4R&SS8#o
zsupKUF36tA)8$xMyeNjpVqT&2BFw=&@yoq~+$Lux=#i{<u6GQv?KaKOq}HA(d7HC4
z<5^m0TEDdLzqDLe$@7{eExBf^s|H<x<=`I>iisIyEp0M~CTx*}%PWKAp`X<^L*E3Q
zmbDSUB99P{o^%`RM{L7w*|w*)4C`*|PU~Cia7%krXTw^(QQzB0wG`POdHy072q*=|
zn8mun{>l+?4V<T(?VJ+sTmB=FNcu#!UEU(QB3&k0!kfl?LJ20E$JqT7eGT6G-u>Rm
z-oKviZk@fq`Lh<&II?PB@vfX3e<fKPavv9*EbddTsO``+Qrp?+u{1*@IPRZ;O(ou=
zj%D{3X2=(*+64br?G9?MWXYZh-*Qa!8{{eYkH~4?c28&b1lK>n-Sb+Mrlp2Y`hN^P
zjC|81ShKnuS3Lhf59AR#Q6|xtjIPYdtlsQBoH4vYzELn;*iSTE+$@<ZJuEpZ((*Go
z%NhStWQ2#9@BU}rIi3hN!?nfP%h|y(+KMwSZE@9=gFo)ciu=1Edvbn7NxO>RI!E(v
z{R{JEK=RG?D17r!4sJ9_MsLr(F6k0{Q$0THW5|S{o-(?C#BN1hMErt<6LNoRZ)?vJ
zcbJ>%lG+!T`x(0FoZ9!giH2L|{`T4KW`AdFXF?G%g`7-XLkp!3rWY}^tVo_$uu3eD
z9+DPH+ev#!a)osM22L1j3!P4J5U99Z<T&tMJGlkUPqu!R-KL?2ky>8Uidt*MrsDUx
zzD!~E{eq^lQB|h8s-|E=jk%wFy}R5$8n=;%r|xHb<m}>qm3&sN31zA~1^-bzlw1{z
zV4J7|Nkj1zY;Sb6H^qfGW>_Q5eT^IRmD*(BRsYs!nlh~vC&xP#<zP?ZPZ2+Y%0Nf@
zWrmO?=Dg%}5pD)6UL<WVy(^(h;>A&-2ZH;&E1WFmB-%{UEnEyz>@~RhIo87-#HcrG
z{xp@=8*18B4lXImJ)UtmePHIE{HrCHs`U+RwcAZstclKPzAEevl9zsmgA)#t_~gov
zmtkWfmV_k+*D1VWKEIJUoVJ5pN<gs}(Q_WIGs8N}{LautSFQ=t{M3xq^*3xZ&#?V<
zklok3i_u-c*d9+BLA%Y2;q>Lb7K|006`zyLkxrG4k~D}~i;f9T2uAS-@ZNDStZlSH
zSey9Jbk7#&ZJWqKGrF`VnoH|B)nz3&a@iTu^wEFuxr+Se!s@c<>WvLEn=k3_SjM{M
zp(}}_8FJoAkybV?<ahX(s6P=W!tRDnRPhzF#5}<;E{?U9)`|2DYw-<pKCm1x4$!aH
zoz=2+qx8287fesg(bkdnhmHd-r@IUoR(wJ<<t6<W>lJ4YFOmO7*j3zL@?DZ9`2+mc
zL!#A!8N5pz59=o*p0<!2OE`>C`E%Vj9Ei2jI6#-vbg{O)%$`@2?)|ebwIH)HzeDk>
z()g<PHAsDO!|#?6rjJezQb&Hk`Yj+zE0mYi7FefE5BoP{O7Oy<a7DRvon)SPp`Zt=
zkaP+?=;GS`v8*)POxKNb49WV|1_bs(8%%Udqph7Y*!|cGnd)&TNatwdm~GhC+2=S$
z&I|4{o>H(;G*)s?+EKblJXX-3JC7B`2&EmPv?CuRqPW3GUk}NC)flT?(MYZB11ZXH
zW%W(DkklqMBx_B<-;)0-cGocLcGhocBx|o)4tn1bMVwSvH_26-LR!?A@GAAGP;c;p
z;LSmCimlQjQF}o+$4<LU`0bB#QEZzn6D)SiChI@eW0rTO{f1Y%8eO<)z1`%2^J?4{
z!Vc1Z6g#yQy?|k2F}as{1^oSjX2E))Pc%v#FPg_6#(B)FqaC4)B%LG_;<jO;{bcuN
z>l?$6mWTC{s{JL~^NQ0|e{z47rEJT=l<chPP?J)3y}q(xShGlf-~JSFQ=PndvXMcb
zgXf2~4%-<qGW@CfL+}b!gL0Pqg=B^(i!b7+X`gWYylz{Z`IAv#zG>ZWQ`k6`L#8A8
zH0^)7d{cqrjdua2J>e_44Rt!Lh!MqBaMy5K^D_mfg$2Scq6+a?$y?D`{&dbH<|pbN
zk_LEh<@g}%U%$-VY>n14n$|#ipxed$@;+zmPTHEd>$fF+M*f>pQ*}%ovFT3Zh?Xn5
z4C_P`LnDbAf`+OUVcXQ0uxDYI@O<^CuubY%wIwJ)wo=%OyM%F>d<a+Sk9SY8J3zZ-
zjAa<CzPP5{hG@f5-6!2mLs#on*F#?>CJ+CGG?fxY+rXH}-pBoy?-taFWRh%&O>#sk
zkv<YX5De%3V$Pwpg*|<L{A_GE+Qa>?Ri}H=SXn){Y<}Uh?1L#&ett@b|G6y%&1zR<
zEgxQ^uNzZ8w=qGRV>KXG>HkW!!TrPMho^*H4--UWM|_NwMURhGM-{5?2Ng=k3yN5s
zsNe8(<d=KD{j)`FxoKHyxn!;}R_f!l(_0=lM`^AZWcCBTFIWxX3UL@Qov?wppFEQO
zo6Q&e5I0Jh@*L?tiBGgyR4Y6z5c5>*evIDKdZGe%4qfjVZ+~l)wnWrsmv+eenU;~b
zH(}!UDZd}5PtQRM5=#42Xezr^GwY?=zV;C8a`rk|Sje%^d7(L>Ms-2htBAc(sjUXa
zM#nr2TNd<5Ea1&$PNWIReei%~@I<?)4#XyaSvb;oPCrX`O<SXB(k2?dSUb2HeQPk`
z1U8XHT0;_0zSCAPZJf=5RPjV9Q5q>3CdP}BVeg~hq_JKw{-csftFg(xdWXk!SbMvn
zOI2~vz^qe$s=xpDeP81D)c-PP7F;Nfsn}RKz4~qK<Yt|T<DXBni%tj43?YY}30<vL
zg*nySh>1}HS{;np6)6nOl;;atSQaXQ#K-MHk9$A3FFVuht1Z7xWMePG9o-zQRXba+
zF&(tca2NTSk-6A1+zLW(QXS<ceIENNk0?AZiWZL-pAoeYO%tvVT;?s|jAmuiH&QPW
ze_}8AS~&|$M9twkN=5&|)tRwL7rwp!D*yRB`Bc`Bf(~Uh71>o6s*N?Rn^9x3Uqd?~
zT@v~*;zRg`uxsjE^|G*!;m@PvVh6`XL}S#;<X`w+Mk2WZe*#1D%RO<f|A1$^&dfEw
zH}uh8*8QhFs}0t7GrhNQ+zS613>|MIydm<*-6@mk>sY0{P9nXeMp__!BN-u%5fb<X
zuou3?#4|cm-Nb0D-ivdLGq!1|sd-ykog1C@;OF@-3qL3P*q(eS`&+@Avb?HxHD7Bk
z)t+qbYMF|RVD^$<3k#1fi<%R;IAVD?J$!sbT=ej`o^exSuBg?DX@Wk?Sn@gC0raf*
zr%UD#+4`IB7^muo=$*PE-F$6kOPwZHkF`E<9`dUp<<SF@h<ufFg?t7yRSxkUiYLhn
z6;j1G8BxLzrt|*g++l~aJPakRlw`uneN20SUeaW*dR<bLJ1~80;@i*jKZbp6`8DA0
zsRDob+nS#BX?5)yjx?<|C3&YaZp*Jmc8ZIS8x<ppTo-muof0-Wsx+1mFO73Vq$@8A
zIx(&iO_(A6f4xk1kaM~%%Uo)Z>L+Mb+K-wqnk$;a+QWue>uJ{_|3hpUK}Ehm?m<3C
zuB1L@PUq!{3S^%ZPZg=MTJbMICf5V}Nglf!tDZiXJOulXhiFymQtFkJK}EN-)XDPi
z|9pu_c<^&lYD8AYqI2a7tFg7WYX>(<^_`tt2twY}pwkf_qKC&cMD>dN39ra6MI=Sz
zVz0Nl8o48+r)(CFM87~-i%jyxK|Rg3-_|h8btA!0qr0fPrAci$)smunY5Hhi<S`>*
z#8c!2l>OxYD32(=Xd31W{&9&|(OdaI@k`cIJeD8ENoOr!WidZ8>ZqZ_v*<%dnDI}O
ztfp1jp1cw1c|W^+>G|c#H(s(db64TnifuKsYS}e{8b?E^!Q>mxyr;Mv+0trDtCpzP
z@Fk(EL)NK_qwdDtj~B+xibz$O`AIZ9p)<1FPX@(=KJJAMsWsDZT>G#kyIIw8x8=Kb
zkztcX<#_ED`!{1Q;!Q*erHuNOK8;D`F!%#R4<x6hHPU2Bd+`myMBZ!8XEu?|W&KNk
zLK0(YoI6aDnrXG`%4QanWzI@o|6}Pl{`Un*6VuV$NoB)o8XHO*;u~i*cQ;fzXA$lE
z6Cn?x^J6E*j)~qGz9?jq>T3u!A~ePob2xHc$bXV5mW&hujMPZb14Ug6TslWz>we<_
zT_;U^OMdeJjaJvzTyLN5Iga|V*@Oe6e<^*ask9(Q9jlf*Qy3%hO9#ouNn^y51YGV;
zRw{$asHK<Fq?D(4o=<MOu9;bDDGkowmKmQyO}z7+_2X}nF5^d@w7gGEbK}J3q~@xY
zO#MB(3(Mf_3bIGhTPL=@)QT9134NmMs0<4(3oDPpMXAGr6n%LkDUco0-DHojXE}a4
zb6rE625UD{kgkX3LGz-PTUv@~y1mJhh?L-ukQfvUbtttx%}TQ}CbJjw#t0XRzer9=
z)`({a-}B1YDB}Q4M(s~-O?-*H>0>yb7<Em|Dtkf9->biOf9w41;!jViCVN@&gQ_$2
zQO(~Qdo(_7TBzqbafG3~T9r8ZRa|^)Su1r!gKCfbjJz~xmwHx2OZaYerJ{wOK#fKE
zxL#S0T8Z#3=YwmB>!{<i)npu^cWAC_mgyQy2OUY?XbgwYn>>U%jy9b3fYyzEgdt_Q
z*=>0p1*yVnQ3ISUH}k^S1L)P{k;KEeg~$+}!}-bjLjSfgq)J-2<L}$w!@qq`$ovtP
zs>t0@=Bp=bw;PQ5XkCl0y=k%QIzhsp6f&#T*)~Jk*2Hazj0k=r9VpRB3zhhgJ0ZoY
z5waiLpX5USX$Q@6)Wou^vqd}eoo5_dZEeimjWhKH`W_HNCwSH)&3FZQDs>SpmcEdF
zhH;A7jlG@Y=g#4O<9873;1A++c}F?XtSI^+@=v@6m3aI%tMRiox$$}J^YXg|^D{pD
zI{0nKH+JHo)V{g)ip9;>Oa<1**3FhV)>DpQNH{G_@=^UUc6M7%J4Wl#k?mAFWc8AN
zWvvxslsx4E*-61x#xVRBPq{7CbimZvyxls_Hr2M&s<s?AO*gJH&WGLiD7VF*ik(Sh
zQ&_aObRKg(YdTxSadQrHvApBFSiVFsS1?v!<t^isGI~;`;`gFP_j!8<bF+@zoCe-r
zk&8*=CsGowe!G>}BYkULw~DOBVfr%DPLtcz$-;KNM%&Qmi{Go)wz|@0M%(+Xl~FxH
zc7Y01S6PDmu40K|qHML0$x0&z`+qppmVTxqpaQnmat*ZbsFptFYLnJ<!}8dE*FD9L
z#b)ADNM)3N=_W=MOU}8>CGcMGR6HDS8MlT@=k4OTxec6-tP~o7REN=d8f+7c5>1ze
z=T)0aa&t@4w*Q*>?NLJR&yy*Wa#&^g^=91z^CU~1b))T(dpt6XMia?HZ82lobZj@b
z4ZYQAwIFDaY>-SNT_R)3dP@2V^h^rr47${L!1CPKX!y@)GyZ2<V7_PGZP{v>Z!Nb)
zI>*5|=}Sy8em7|yRmQl^+Q@mr?aVvOE9ai)&gbmr^x*X7UgE~_Xj~CHhJK&)2=kw(
zlTBb4-SW8ZYvr2aLplCbW#ZUx>V$!b%afny*h=0t%+j4ObFC@XTt~HAgIz(hik!hW
zV-Ck(Zug~4kJ!uMW|dyiAnPf^N`obFqQSg1jBUjI=xrCyHqhM1lwmw<>|~r{<e1)@
zD$VDt9UZsa$9)%(KUgKazZ^j+pv_}uu#>rD{%!s`{tVt&?nKTq&TCFvZWQ+;r-Aj8
zo=<9rz3&OJz0}`mYF`^u{<W}c)~uAgA3YOtzLI~8O>UoMD_vOc)Dtc9?WgS{T?0Ma
zv1-~YVRf)IdT`s$9d@^`ZG9)QA;hT|AR8|kDZVB;CG5o$vW}8_W0O5m_8;b%#`T6O
z{aO7w!%leT`O9+EcEbtUX8t?Cscws(O_)HsN!df6z!Gttyk&wpg8lqx-UCh>&Qmsz
zBjRk~++!bLE}#y_FZW4oUv)Y4dn;MRr*l80k4UnAACwUKy=!7g>XDo!<(S6v`eyS;
z+i`oS>!O!{H!%>2T>Y)pnsz-p&S~$A>lFDn*rHe{B}zEr6{6F^^Sth?QIvVu&EB(i
zfu)U+ZJ3}BGW<3O%=0W|w!;phd!u*0A2NI)Tx>qBnDCi=ljdMP<8b&Met&_Jw}5+*
z{fKpqWnk@QUu9$2<&4Xe6*#ds+wxJfqBg2*W&ZfTb$=3n9R0@p-s)F;%EIhF#r^9}
zx6C(mH_bGM*-9L2w1}kRMFriAVz#k&*xKQAo8Qqr)K7vQ$%xY4;<@5nQE%aM?k2`!
zQYTD?M`M3uNin7xuIupzypdtvV`V#PUA5j}Xf+_tz3^uL6}AMwhSY&ZW!>cd;(rwg
z1y6WgIQ>}^W?Rs=t7lDMXR_Kb+L9f}NatU}<AysGeG3m|$y0L^pMU%O?fDPxpC9S1
z@{=ngo7NdVnD$yrY%*t>M~9tAXNZr49BVbO{nJi2I@ZR&jXDu}OmR#yOE^%FD7YrL
z#qYtnPVYeKhMDQ<V$U!|8zj1~+V47y@u|gVzX<#J0^|^O8+IF}2APT(fgOksA$_2+
z*bbgi&>-wBT*oiwOkh1`yrhqz|3|-0M`_O~`|x7_cH2WOw>Gu-YIaC!-^54Xetj+Y
z{?G4|X$$jSm3?lg)}AzNu?(=Sw#T_?XfN^>u17(Sdfmp|sZ|$$huqeWB2$9r%2$at
z2>ATt{E_@q+-z1WNZZ{RY31%^D>3SI7qm_dRX@_Gw+wY;xM%q<BN|LLW*J5fO5}5(
zFLOyMx}Mdamn#Sr76?jt7%s{>&iugG#%QJ+X!9vigcoS2bB%F9<LSzlg0#N{NqfKd
zOgNFS=x5jD(#)YHEwx9r159<657uG!4i2R^4I`#!39p1qioM(6ahIW8!rEJ6zl1*z
z+Ao>Gf5*MZZNqEN`_1{tnnoW(+KZ`k%WX1axb|R6L(3Xnh^d1u+`ZJFgfW70>_7|~
z`Q*Ri--xclt|6MJ4_SSAIzh5<fUurl%e}z<$kftPXuYUY$gc_OFo(TAY`6478@`vH
z%bS(9B{3->;cKVw?|(;UTrd1k-AB{OWU$<TH`Occ6z3h^GC~!rMj9V}v2}Kb=bbd|
zjq#_VAFA^ei^XjP6L@r9FYZDPk6q8WN$o?dL;mrsu?;oWXq6hOwng{GG|#@olZI+A
zhp_3GfyiI~YhRIX54sWif;fz}j`f8*n$Hv5<=^KKxYOCMnS&X}Xa^{3iMz3Yy>N^(
z#k4fn>@5k-`I2Hy)P5)a*!*j6N^_30^m#)^-DUGLYq<TMJ=L+)6Nw>E*YRE`H$~o$
zf7QOe{j;|H;$}suLmw!HNq!1T`RjQfIZ8H;8A@v+y~RC5Ke=mcdrZsp1==mzJe}US
z#-;*>VmZ<WTZP#TEO4Rkw-*$1kZ^n$<q_i{r$65;=qy|+NaEe(%wwg|snqYpdAM<C
zv-=Oc6~VO#Yqym&WOGuF{(ArO`p;iU3F*>;@0DAc-sta|w_2~;V(j70Yu>xq&a?x3
zqq0@x(YT^EGuz&a{}XGCyb^j#IY7Ei^qY_2t>z@LwlGK1iz(5>XP6P*AV+s|8^agv
z2dx6m{g>O+t~&1#|5HGBo%SE`m3t|^j(!6Yg2$4F(=wSIIgvaOe<Gj7KgXqTIxt6q
zwg?Ru?SJE(XL+g%YHX-f7X6oHPt8rbnzZ{*LV8tBZt1ex;Fex+GA}YOGB2=pcZB;E
z;_Dc{MHho(qdc*{TJu|Xh>eVDQuk45;oa66ag*@4Ac)_Go5`xC&!Kb%-eaBHZ_728
z7|!Zn>dzaSElzu=Tkq-T6M}Zv6wf>NT2Kvd?fVB=f*(ZI(dev`oE1DZ-_9fR?s1;5
zrZKuuD~KntA%3MR%OcWmY;;!&if(4zPLm{G{S%T>oWaTeP&Th_cXJuUkHIFMIoop8
z;rA}Uvl((xuxesNW6ZbMyK%i+-HLju?iqYo!IkY3<3#5LTljytci554SJcDARhUIy
zp)=n4-sCXMH|k9LtQf~87su1tn+JIpdbtr$p}XQ1c}Jt0u(ybM%2`HF_DJq*-ca6K
zu9Q;=>3Bbp=MsuBk$$)9imlvG(|of!x43W4k@RmV+~kj``G5Z{FqXfs3u;-f`(U_e
z>}o18uY`97#n?NvM*aq6f;uy*G3I%z!kCSby~D-_zfx*tg_4(|w?dU5gfHa2W4))3
zC)eRV`A4}2*jbigaGKQFJl?v>zRVfqZgltY%yyr3J$Jr#PIJY3cKVWF%qis6wE4_k
z>=e#8ZV~4zJDE9@K952nzQvNz_MV6K!=_7``1%LsM+<gleM>J)JDff;Yij=dvNpA6
zo2CNd=)ED&Xft7L=Uv6<A5sWAPLihT9Nsl*cC;(%Qsk7dRw2KYtK>hV97&>RzHpGh
z!gF)Fu`+2BNsZVXUy5s~z1i~Dyu?hkmfEzAelC}*uRF+n!1Vxhi(fe7+-z^2--DSz
z_&}aVvop@I{;(gg3GCZU9i0N_2V-z_WQ8}}dDfDsd)N4_>SgiZJa^`izbpPyvTO2n
zrC~Mr#)mEAbg>4W@wq9<GSXS@^Wb9`V+DxfcgWcA9gzu<-y^1kwGFu$G)Qq&W&s_?
z-J<2fFhOhHTJ`|OLds8kPvn(nxAT`R#Cp%N!P>=M=+HT@xD@Vs*Gj<h$($XXmt0Yv
z!@eD$@$#8CgOW@8#puC0#M;j~!Q2aIh4bW(1Rhr7-{wxTtu~HpX{<Gt?J8K6la*=7
zd<pMCI+mtYQ5zOD@6d$n8g==4v+<;Ls(S^d8->VyFIk}4uihTsJ7Qz_b9G$Ek)R62
zP5DomL+Y0dlK4e!gu8en*)!-gvJm&uf8Sm2D6!RALv3^H45z?#!L`bza&>aHbF8)>
zu|IQMbm6?UekE3qzd$-bSwJhNKVit3TE>5jdGxW=MABt^8_X!*7Uwd{L*3y<R`rb%
zUw%=}t?V8-qw+vhv^=loYQv=FU7C5i(fX&x#g@&^oxn6+&EN?PvP{*t(Dh-g@Zhjx
zp<RQ&1szh3Q;d?cWPGVX>=c&sYdII0JE%s&6U-mqT6eZ1!v5N})IP;A8}>k9prN|d
zdDQU$l)BBJP%MM@3oFs7SRH;XDUouGhSFa%f|>1@hZx=HEb0o<TKqj^y?2?Tw|R$F
z)sR@3TzoR0o7*$zP;PX=v6AhTe`@D9o^I}_`Jnxxn{0e<iE`aT&BP++eqo{fKyY=a
zFsx^oLcK2}LiJU7U(q1%DBmJWm0F-b69jv?$;`#n!GsE=#@pz+=on;I*keFda*%7c
z>!>T*rF8NfUYo`?0<@<ex^{Yxqo1%7;Js!Ws)ZKGSjTw4h+<5lzn~r><B3sVosr)6
zj`!v~?W~4xm1V_k3zp@2bIiHQ!d7LLs`&c0O}kpgYH#b#>ARQ?SQ}hzkbg)USsR7_
z!TUO6$ZhpU^`+2?;4Z50putLlf+c6m`bv9A`ipuC6x=7w@zg@XP0S<TX1B)i-G0-4
z!Z8w5_yc)ilrAzPuJYT+_BVE-)9-riy^khf*AnpL?$pP$9rRoDoAe>{1vERQBkac;
zaY=~Y+t*384AuQ=U{qBXpUUr^TbL7@*QqeKlu*5=KC{W%GEsX<w@!cCsI)F{HKHEk
zALcaSc{w?_OXv}Gfm)!R8ZuawpiEF)lW&!+m+qE)5a$S+`B<)j`GDF)*nznW`V<L{
zx%NC8#*yMkcDkKyAbUaw=Oo8u&|^=wcX4)ecZAt;8cs~SO>U%4rT1sdVjN_!8O!Nb
zYJ18rq6lA)@O&SfD=b3&i^hG`QKc&j9_B92Ih(sbKddC8GNew^*t$ih8L#u`vJ4B%
zGaa9OXYg<6L-=Q9J5;+ve*^kwzuFgaP4x=uxkmmM6s`%<HIi~sjIa+cge{^EB^}1b
z`13$Dusf(0NbS2EyPO19i}Md?3|859+1%E(wh#6M=K;`&O2+yiD#g-58KKOMfR0fx
zX3%xi9uyX7CZP$7K{#NcJ<J7~#JZ#9TMHNFZp%KDEzS!mN-pQthBfYKxvz=WRcWW{
z#~2H&7u~xt<0<1f49P0xjF7vb`_vyoJBCbE1t}vHboqT*7g@P<sZ=PLDf-C&#yQ5&
zkTY;I&?--mtDU30{iyv1XdbSEyg;9wNsjS$ueF19hV`QDo#Tu9mVXttn6Qrgg}ReI
zpRs~rr|+N-px>pHP-jytq`QPdPzxw?nJve4;~HjFHWy9G^JO2;zMrcp;Fry+o>AYr
zIi!WCJ*By(&DU)*^>gTa7~&ts8sQQ7onS_2n0ihqE974lSsAOCFIUU8vV7Tj*<<Nt
zakP-Yi(+l2b|oA{vb--{#~ji2RrZnK@3l^=bBJ@G1J*OvK9;eT)z+i-qpoAV2^ccr
z2WbRVO&`s8$k@+V#2C$BF~-vSf@ZIubevF)dGF&nXPJXEL+ZYknF?GvBeQqqyvkcz
zyr5!k?YhR;=2b22TK;J<w#4dG<^<<`<U4s6r%Egh+8BH$q<_fp;E}2-g<jr9epP-!
zen;L)u90!1&7$Z0C=Qd6MXJKC_Q!g1oQUIuo#*K86oR)OaxMa;Y?d|4ywW_yGS0Tp
zIm^2lS%_Z_=kRZ6TKWdYImQvjdqxAp$T-HhN>|d@kdRG@&G*JR))_OKFTttyz=D-I
zt#XQT_yxy`7gm^SL=BckN>l%)6-`CWdD@}oW3FsWFm(v`gye>@Sv53xw@RUEQr0U{
z<oWUi3a#S4LZT>?MMx(@%HZzo44RFYjydVu<R0d90D2q?N|(_tn#<&vZoh1;G=DN(
zG~q2rY?E9kd`hf?PyostD2>Nh&A7@4M0+#y1nU(`%(~6!NlPU4!WH?RIx37~TK3kS
zFRw1l$nBJKD`#OoyJ%pUr?PJyzu}+8iiVSo?B+w78^-VUWVC@aiQP(MkatyygNLd5
z1wB)m6l)X;MTMeXNe<ej%#}N(67d**40|7~AL%&umcNZ>rYqmk(UEDFIi5QvK$I`F
zeucM3L(B`zFD#?&pIrIAU6^@<PUJ<@!=TpOjbUaiW7__w^!kPq&(X7%Fo@J81U;JI
znr!)~<u(khdQoz<U|{a19AVy;0(Ws*+19GPwOi{e>s|Hr4Huff>N;6QdtTt|bS8hB
zG)2h>eh8Sw8H!kl_3agR6zR(0s%NV0K~hDrq){-HBcbmkadC4|zh{k$=G^Q+K#lz;
zpz;gtdu?5<m&{>iyt&exY3<=$;T2+X@hizL>IHfq#%4w=Q_1SjzReNxRznIq9)B|j
zbkNBy*ahB^cCCTYvZQWO<&Bcg1=Di{IV*Da<!cIely<HdP}8k;QQgD3&JAChaeArE
z=3PhJ!lVjWvU26ypnFPz!Ytb=KdH!8K2{A1IT;!iIv3772Z{P~gBTykEW&;)9vSW*
z?9FwLb#-@K1*FVJ%N$FjWec1u^|UOuJ_OD9@$N6ae=s-UTy`II9{m;LD^tj>g?f(Q
z&jW<$av@Fdi*uf_ft-f@<=tYhGoIG0X-KPHR90QMD3_3ZDeFu&KW}s4lhU+G4<LYf
z4dljC&AoN=%un2D*mpE84=4GcXdQ$JdJG=5S@B3oRQ(Aa8+ti3A*6TE1let25+{l|
zh#CTjN)NUdLi0^=Uvf;gorbmEMsruoY|9i&oF&7YVYzJmWxwR=;d_cXMzFzJG=|Zh
ziD7wI^&B4mUty>?2;R)k5IyI8VHT2Oa8154=QOL;&|1^6;a%m#;^dqoe`Og}8My4+
zyqP8YDsyV`>ezLrx_|0dHvOZ!Wj*Y_M#^Hh710&ypiM!i6?f!3g+Q4XL<w#R8KO=N
z{Sf?B@j)_O0OD$lBa}SiH{54rwlCJR*Ez^;0~@^t{D(2-8K(ZGQ>H=YTb9+fJZHVP
z1EwS44S6fztfw+1tW)d_+&6rU&@OJ4ZjgmZiJ}`^6JsB_3cJO3$EmgsG+b<!)GaR;
z7tYR_kv<|VIlWg_LawvuM>(NpYVDWW1GS6mZ#5D0uWYaVRpcnnKVnp#ALI{OqtwgA
ziv7xeRhr-qp|{mP)kz`LAc6F`0A(Mc-zL)uo3QQC3tqdczjKzozxA5=lIfl4nDK@o
z2G9hrjMFR~?Q%B(y^otu!cg_J`HW6XA2WeHm{%)2B<U&7SKL*0S8S5(<LjBl6g>Wj
z|FCPhZM~_lc4Nc$N^jBDoO9_1Q=?MvXH;hi@>i66E8kR|Sv9A6TaCYdulA<pm@kbO
z#qJ|~FWoDbDXJl^?ofORx*Rer>}FVp@V#nRuu#d92n7>3W0+C2B2sUBC}y<J?4mh7
zSyL=+%}Y)FjlT^_!+!lG{WxQ=Wt_c}dz3#7dx4lsUPwDi4`%&fGk5^mmE4twDf<My
zP|6g0B=ZH2*^B9&$<J|HVBf5;CmP>3f3GPnIg%^R5G21(ic9XAzA*b^{%t@PnX1lJ
zpR8%A5jOSEez0Bj-6t8?SkXFpjnb&nsR*haK_x0-h*}+@=Bpov>Vo~s57IA!_niLp
zEu;~+Q|LwCQuk9Q&2h#qu??||F(&9o=pwWywS3(vW2kkpli*87mO%~;8#S5{#(Kp0
z1I<kq@07(VKLlM;;Z%9bj<TVmYR(~u3GZ?3{k>g?^__lrQ{QS$u{lSSF8h<8$p2mc
zXMaXzHm`6@slMV>)!6DyHM9n=rmNN9t0oQRj*(D<QdJW}DuWrptyR}muS4q9-NJu_
zC8>{u%nUjw_3~NlowU28w)nTmQvYO6ylbm{k#(e*Wc;fO(_Ym4)--A*`Y6*WtKZq(
zw-)JuzeM~+iKACA^Eh7qLh&Qnb){7m5)vM=Qq@}7UFs0-<9=s0P;-c>*nz$)4y)1J
z+^*(F@v-bTDV$%2zmNFw`d7!awOJbqa3zi9-ikq$Zz|8#Y;6iLck^C_)3Tq^89|R!
z`N5-9IYGmeBGu857vb#4wvoHSdxky<x-GfMf6lr`TTkvt*aBqZbKd8!Y4&={9YD#M
zwAVEyE!#Aq+IPCv#xa)p4y<RWKO0WQGsu5wHLU5p3!-DvzKR5;TvedDthyEyrZmf*
zN@&7U+}X@Xs*q6TKkgiBo~V6Q|Fb--pzGhI$;3qIkDfp4lRjib<(3x>FFOYL1142<
zt$tcJMcdQf6El`RRd`)tSMh_t1a(w8<tg%PWmw3m@L`d*2x3@h@DTZU;TZOP+7xmR
zVlD0%rZu_|@X4!eDszx=hW@#hqcv$J=}L6_^%IRe%S%U)Clnck?@#GNm$Ay(CwWxi
zeDPvwvAjarLA52QhqAl8Rzeg#;FYo;Gfb45_)h-sF#9I9xNEyt#1@Un?fci9l9+Vs
z_s8U28LjgM6}KzrS0Af+URPMhZ#t^GWRJl-pw;mm(!YvC`6yYoq@A=z)=DV|X%*Hh
zqFp#Sq($CGbd39zNu#%=t|yNoPQb+>selrjVaHl78Gq>0baJggQ{0lJy<j|ObGXj>
zZURR*3RuGHu|J9Z==ZrR#HsQrO1WZz^rUFFAWXmzV#Nm~tt5Yi9?o2v57*PX+!kV-
zsMR$GHGTnfTx9X4oD1orQ_@qrXHxP7CE=BKYF9Q;8V5kS-UwY+%VY0-ypl11cM}xp
zFAFM#BSp8xL#0&3`=I42k_u7Wl+G6=@?D%prkDPPVk9QvK4H2dD*t>h)}8LivaU1z
zgg0!R^mJoei_<1>HMrY(O5KOtQC=$g6Q`iuVz%Pl5e$G_E_3)1yfAJtSIK7y`wDjm
zX7VaoPiP*(8{}V4TL-~<%+$?Lt(n^RsQO@8m%>N6ATOSuSn{QETJ8S2B@JZ_j~W?G
zh-R#DymK(Jmw1sTV4h^fvo5my>?mHH0J7jnJIGGR_DG+L6+$(CFLx6A|2R6!C@HS4
z3zvI)kK(RjaEIXT7Tkin!{F}jfe>6maCdiimw_3^dRnWxyS%^ierpzMg&$#c*VMiD
z+_U%D&l^i=egT^XQ&Sy@YuGU4iqS}AqpCDlY%ewvM@v`2+as2!5os4)6@4o|f!^Q`
zbS5d$XV{MXK;a<V8_roTTD#i@*sD22`v==BYh}xN{sc3We2!%6WtEIbl}ImXUns%1
zA?JDes&8vQ@Bdu%`@-~gSx0lKdCqt)=f>wcJcjS4^qYDd(TFH>f*r$dVGnU9EO%`^
zoo`)d;sSB=;<~$4=SXKW$8!5gtHn~A@6X<$7f>;n$h(VIMt?VHy^uN=?qM^cE~OUa
ztKU+p0|l%e@Xp-oQ{4fHP2bS=xQ94JR-;(pSXHB^(0TMux){@dZb+w57`26Xj8=-(
z(8mG~<(tw$nG-D<ZXMd;pOd#A)c1Uz&v_gCt%CKyKeiZ{Ri~x1(Prwuh9~w4TSUww
zJ5hG}B$Lfv<>vA$gug5=E%_~s<%N(bkirmtJhy}G#}uX$smbIxvNw<u8WEqcmgv>k
zEtne|U~V&8!Q}9l*mLtZ%<4DQK4_hcr?KNm9wd!SHQO6|0iRsOd~RNcIb}zzig^<l
zVL8eawUKroX7o61u=+{Kugrx+`7JUk?}|Q-42#n8J^85OQa5YU_1_HIsBDyt)kiDf
zS$I{lIegk<R1$E>>Qk?%05yQlpi44y>3FII`3Xp=<%#onCeZ4D+X6}8?_uup8q9B+
z*dcr&p%I;cp87Z0fZPh4#x_9UJVPu5w&5Azbbi44q8%U$%NeU~HZji`UG)wyU$I#d
z#5Yja6&A0GhePLsZG)wQOppq^3!Dyplv+i`MDt{?(h4Y&H??m@|5!d0#Yd7m=%UOG
zdILS2dB)~&d-?4`Jxe1?W1%+8L5yLK(gUbZ<Y#ggc^X&+D<K_YsCfmZ=_C4MAmA+n
zPFT#SVwN>`nZ;p|ti~@9e*mi@!nn91d=CGEKgf^doAVA{=T>sp*yhZAsxsLPuY}Gp
zhw26XmtiVbjywq^`Lc4xWv=>lGOJhaJ<rBmBIjE6=IjsIvvcZ!2PYC75*{c+;wt2t
zZH+AgYSSUQD>qIUVEf`I<GSWN?EsC*vBZ(j$+@Px{&udgx3rcKp0F8I8KNo{hNP29
zkdnVnAFURXn?$~bkB1$RPQavTq<mKyy{b{qd>k8yS_py8$E_EVt&42)?V|mieVu)g
z{iNNrKel(V7qyMC%;(Nf^Kb)MYnIl1$||{aq++O^cV|}G&(OD}U#q0`NiX#4c>1Rw
zdw)FrG3;mUjG<XY^Hu}Lij<q_&mn<CKxg3+Jx{n`8|1Xc{g!Yxp=LsX1Yd%X_#}Zz
z*pzTP;Y_^MJ<LAe5@pv>bMX6U4Cc~j7<<)+(Fx&c;>b{|kP_-C-W0n_M5F+$xU*VK
zqf6{P`iW@Fya#vfXS>rm(pB2+h;zsBaW~z?-O289t_;T=U}T+VyOOifxn@_rf?8Sr
zBU~!D!t=+k8fp7KyFX3;-1EDX_T~GLuP?u(d_DY?Nb8d^F{iw@Y_M;*tCr7%c~wZ<
zCz&xqilb=Ui-g`ufu!=u{gTTjS4y6fR3_<B;<ZE}QHk5^9BQ?2ePL%F3;7G3V>|Sk
z%Du=rsj*l%)H_%^cnzj#Pl>I=uOn;ZPs&5BfLRhfOdO$KaT6@7?UM6{+Zn$u{%U-7
zye)xEtdi(Y7!m*8b-}*D@`Foe{vwtl9SxUyGcryb=wIY1nW?7z^`+OxZ68j5yzynm
z*9u?u!#DAMz4v|6&pDZEJ+1t^L-CPAT8r3Q^a19ks`HiY6I~f@HepcWrKFQd6Oy+l
zmrTw{?3=J79%lI53C=;*b6hR@DX|UPg*-Ax>8;fZ(ZZ3B(k}7$Q2yX=!CIl1NJm~r
zzrZAAqE^=!jLgTY(e1gCmT&Mo72W;ft0(MDD4+Nwv29XL(z&F~iId{zy3X6rSqOd}
zGmlJ1+Zv6P7Lo4a4gY$NJG*Sg^R#kbcYQwk>FlS%U*>;3`fcX7HQ%13z5SW^YhE^*
zH!QecToEm#>!uU0guCc2>;*ob4XV!gl*DL4{{+Q-#k~tOyVkDb&PC1(_99k0|B!A<
zPQx&yfw{<#^)31w$RQsX!NP~7Gm<Zy44g(uS)@Xih!KuGMJMA$s40w1IBMPKSm9FK
zH{z<rzlhi43nvr>UpAd^CN38g!BksF=*&K&{P<(^jyYWGB)^m{1aaT3TnUIaRniCl
zh)<jJ?d#XQ->g4A{>cAx_K(Hs=QI1}T=eYr)eUu!&PS>!kB!+#ZM+rn56LjSc*45W
zHr00Bw!)Tetzg4!X|{2|jEnG9`Ci<9<^t7^><T=jE5KHqjjW0><`Vr6AZ-rRo@tZx
zGWt7xj&Z;&2YGWd@JGZoY8vzdwhH~MZ*BkChdK^BKf6lB{T;V5u20-p_jy-;XA-Df
zhNYBHkMq-4$#kq&Y`LB#_X0ipd9ZDuhj(A@iL8ge_N9k@jQ`<GPsx~_(I<ob<<7*j
zT-nWY%jbRfjSS|BV<WBPPTCG*tqFM~NE%*;n#_!0f8(BVpSWpU1@1CeiLb=><h<+#
zwldq4k*L9BS)vR664C*BV7p-Q|0~o_uYek!YR)wC{VyE{sf!)MhY&@`hvZ`V0(4wY
z@|`U~YYBU0M~<VD)9$PeN{h$gcj%6-jyCqI)@-2^Uw|D+Pa}`u^U(^iV|pVMk-vqX
zh*N?K{r$Z`50`r>ds|kAEIiwuosc~ts}@XrZ_2IaS(Z1&*E1jniiVQlEJ%=3l!e+i
z-D@_0L_81V)cl3-Ca#eYas%}@Fea)~tEmN41L_&c!Jlnp9*}cK<3k~>^8*@26*M0t
z&b&hR0wwi6S`+(;dGNbHR4hriU^1CM**sR``Uxj3&1}u>jU5LaEbw<Y=X1wSM|a10
zdt>`5+g0lrOFv#@R#4N35OxKaBBf&0jCpEFV6d2CV(3WV2Qa<*diUk+%kz3>cvgDY
zyll@!PshA#-ci16-wMAY*ecW+Jm$s1{USx9JWy6mrII#K?`JS(J)n^|Ajd(DHA8Me
zZeuUV!Pp0R5+Wo}97S>=HIRfvhB){(&(Ze4-((?gXE)66n`Be!BGs6#z$CNh*$G@3
zzPgYm%(o<4A6aYIQf(fa%Ra%r9jHP(>|bnsY#*%yt<x-rgoFH6ZZ+GT8Ayl7F+>e~
zIa&wt0s&>J{zi=e`!!3p$<}B}<hXQJJQkW78XW2w62UP;2EPW{1P=Rm`8WFy`A7P*
z{Lcf$g7%;#cr>^t=n0+-fn{7O9sZws{|q?iXXSoMT{T`4^fg8iAbWp>3`Gap4=spY
z!Pen*iPyvk@-Q&ET~rHdHV{Ou^lCa8n4$4(6LuE+oh`uK;4J)ZzNv6bXl+?%DQ8W!
z{%7TF{cM@G`?l(KtG$W+zHPd#f^C^KVyS6a0DQ`C+++4R<EP8gkIALPTR2ZU0ZA*Q
zSJhI18c`=wQkoRX7c3h{@}KrD&s*hTJp*%da;oHnvL9z#a%Sfg%2jetd0ONtd3oN3
zz)RX4bc#(u!ShC1$bTxk)KS`Cy_+$}oEMvg^hYlOX?`Gf1}g_tsE4?Mhk)c;nHWjT
z1*+|EVhwP~UqY_M5vT)KQ$^{&=z&ZMu)nTwJNXRZ1+1Kpwmka<$24bMm)|wU{m7l;
zE*9r=Uvu|%dtBXJTb<_}7wnU50n1R~6Ogp}(v=`7-9$c{6JZ@SmE)k3vp9IeuXumK
zeYksWd``aXy;+G_fz11vS()~%VOce@3+D95UF%t&chUQ=FCN%W94LJv?5j28E=p&$
zvxe#K^?{JeG1@E!sV@IZ3HuH|2qa#WfK;6gkcu(@a&0yv8IZ|26%w3w0AH0Lt`jrK
zKdEu_YUU~%&mR^L>j2waP+Bvbn#&nS#(#;Qkl;+5k+?5$c4DK%mkDJPI>oPwJM3QS
z%5pTcud;p+-f(A`z0^FS4ps_b%;NeF<rY*8!^IOpH1LnFp|?q12~WG+jX9Nan4I_7
zXR|M5*Uc%Bdn@-SXkUB0?R`F9>A>jV%+PZ2sI(6}Ot$EwXiZ=>yOlP|6~(R2RC85U
zE2Y)f`f6*n-P$j$p1xaG^i@V16NmI0GqwY=Q_EsK@S}v6j8aaf3p<<J&U*#Hn$K3=
z-qLZ>dCGOey)DijKPUcNe6@tsg!KtK6UHW#NZ1^IBrek(a6NHOap<<U)(Ms<KbYIY
zT%oQKnOH}37tl6>S_}0Ld3t1_R8IUF%nCg4ANQT}7V=)tD-KTme>`hFdp$Xx{&{Ef
zDtdo-oBE#lI{KY~2jHQzg?5D6i|OJp>AqAQxV}Xq$0D_&>Cq*!UD*!Q?HzDW{Gx3H
z9&-ZZ=!}Fs90@sywgoovbI8qJLr$T((JFnG8O+w_^7B4ETexo7W`*Phd(i&KvBg=-
zb=TF@{oUOvZd}}wxW#d^;~K_&aL<G{u7|6avznuVy{ye@JuCdlKV*Mn22&S^Jj{cX
zk2N!TY7LaO(Ocol(2>gwZ1FGl_4KySTjwD?6LZBJG3Qr~Ew@YVv)p=~|2#ADI(n=5
z68vZ&BXA{nJ#<w(B25psiIfJC-Bo#o(iO<kTePD3R=tFA&}d+;ft0YpkepN(l3{dY
zAbJTX={vAwpkuSJmNMXbwTIi8Nk3<<u&23g{0w2a<uZ7*Y~als?rP&M6n7}j7C$2X
zSbTg!>x7XBH4-ky=fwrwA=i87NylhA4;AqO{v?}0-y&1-A}A8Otq)Wyff_bW`Y-e#
zVD+E#?#w$5uI~o9k8<|qtjW2SBj*gsb$YgXdgNKXMSL~=tpgpQSK2_VCQ;!J;hmuI
zlJY*#PhTqS)rV>+t-H2Rd!Uul=j(TLyD<r<YR?VI9BMu>c}Pk60-3C3A&ILu7Qt@g
z3yA5!PToU*V(eTCewOgml4Kig|HpCB`PC)5rMSoOLlUwQ>Lw0L9G+M?F#z)=r{X`y
z-EyCBO?DP?Y_z?z6cqY#6PcORbV!QsffO_qZL2aX`XF3WIuYW6AK-o4;@zF6duG8N
z=gWPa%X_N8tXtQ-n|VXLgfG)~8hjWlgX2TZMML~1Ee=<X?28nMUW+Ek7v#dqQ6&zT
zd{@*TY6Weg_6o?@sX#q%WZW^5&E@8MvmvAzO@U0ex9Ayc3qFWQB(umjR2Cg#61dL%
zMFG4-wubgWj@iz+uHo+PaY2|uawW`3xRmg3!uEvUpoaCtHI7^CUJ2i)oa2U#whj@N
zaJQKU)Mw%c=0%uTmVQm$CTB*<gm;SNLzbWy*vW6bExm{HTI6Mddnz%n0i3oayobH{
zeHVSH{^Wosa54B7=mY`rtkg9e33rTqh*XXqj1~sMIji(gUMLpef{#@<sHR#&yQHD|
zLfvM}HbO=T$fW8WONNxA9#9`du^jv#;%{;xwS(TpY-KNSKcIVG##+r*(>}oQr?ZJm
zb**<-jXN1<jc*%2IeuS!%lL0`J>vdyWA2wui}SX9AGnk<gi-uv7H67L!-(4$j&_X=
zFg9xM6jojkafJQime9Q5vcP`7$JfG_?gegux41W-cc}NWx3+J+FUL36&jro}$^_pB
zrvd@{j93QP*Y(2J!X+b1BL$+{;ae@23GhKYQ)&PQpsjXCtEeB>>q1ssZ}We7(sszg
zON4ba1GC`w@qt8H(n39<PSRtTl57sUhx>=$C;VgCVeMwK*ss|;J4!kaIUBilx<uC~
z_k8y*_Xsx%Z(E*oF03Dyql>*1PzWzTcFR+^7vG`~aw25&7e<<!!}W3MdAVwId$^GF
zAruT=2|V*lzTUp;-uhm|dnE6AUT&Vn+upkjeowP}y6=R)7qE@*1eb@ZiL`VIa+eB6
zPDbWN1^KDm3#JARs8MyLM!;=74oK`WIJnlDqS*;@vv8yjBx=c!fA=08h`qyx;-By_
zL;><Od6b$)cVjBDMS*9VB9ycwSt;8)+ZX!-$A0G+*EiQ3_f2=$9UqtF{^1_vHeB5x
zx#9z`6^{UcP!k67Z`m%)O6n=`5VN9=7y>jtyRtC)CA?fp5#I+72Ilzp`EGd|c|Yf^
z&Rd)}Kkt1W=AGeHye)m{zFGchf%4$X&H{G#LP?fxhL=WaNAE_*gU-5BsjQxXb7+uu
zObcr^eVqP8CycU2L!i~C8kdZ0qpCUFJY?D-Gw)HX2~@TVQ5ySzZN?W9Q(-6HOwVQZ
zu)8?WMg`MS-&Vukz+rWMb?$T_?iubQZq=RcKIdNGwzxOBt~k>i-|e?;=dA54g0PCi
z*%9<TvLZ17*ao)PIODNaPCWzEczYyEx*?tqeGfJY?haT37yV28ef$;ufBKJrm#9Ht
zU%(!m1mxKfu+zO0TT6avMK~627V$(TMAP7mJtWg`#%@=>D|WR7xYtgozhE_u)b?th
zHH+Q}cE7KB6=RJ-Lsjd9<UlKO4H=0RfwZw__z_|$RP0;mW6S~eIJX1%${Q`?tdnh(
z>}mG#4sf+P_c{Ge#N~5dbar({9pfF6y_&tdt-rOirLDlg@979LlP*JTBANlwdOKtZ
zpE71bZTCnyB5P4Bni#1R-Xa+=!)F)whDL>Ig$jpKLd`;pLu*2pL)oDc;tcU4WPRP1
zYKE7DAAk>HQY1YhM7u?=M`O|I@(ei>)|5@DqKr`fR=y|=)M4sw^_5y!8?XJR<%c~m
zrcZ;E`itfWNHYBw>419C%h*nQ9MK<Yyg%u}%xmTmdz4$s#|yV0#i_9MmbEV28(-UA
z*^=$0?QZ)eTL3Cn!}`|R&$=HvfvLha@SV0|e=!V`4Y_7A@e99$`A`j#U=^SlmN$Oa
zXKN%>6JwPNa(;Pp)EC(qDH*vH9v#jf{v?f)I!eW)n3yR(gMFNkT#{3&C5@L-rTr2X
z?iBtj{5f1FvI4&4KzJvM$-7{0-wylW->OX;s=d|P>35+kwiGJBNsu~N7*eDqNK?Ou
z^h2MZ#jyL>Xk5a(6Q79XWHD+v6{OD4Eg6LE#G34I?j6^Rf6Mn29to9!=lR<5*^+2&
zY_(c(>sQMbOAiZb=`Nh*F@7aigrnK6Ok4UV<$?a77q5u##!8^+u~xClrp<T-ocfaL
zGNr9DT;3L~8a)>YhTDO^HY^>K`b$Hk)>0VubQOMccf|tI4C!AfL+Svu-<9FBVJy-<
zvMwS;=0tBthswp28H%8~)$MAM)=ev>@6dlY#uzoBPHGFebF=<G8L}7b@efc5ZG(@%
z??TO9o2W@HCq0y(?#~oqC1wfxJGY1%1vz5Co&%>&KFeJTWm#_NU|BBg5Jm`j!d9Up
zUsyQC6Wk2;5L=gZ!8=(9ZX9RH^~8L_hR??m(SeYvxWUY4<})0?<v0rrUrJsBM4IX0
zhT)}BJdj$|P!QJOlHlXuf59!GN}(m8D4fMp#D}ovQo~=vEh3$wE_tJDQSxbiZGkpT
zFK)Qapiwcl(Odxf++_4(?5a5j-Hcv>T<;Rtc{D$A3>^k;Y!>|ntjh>e8Lf|>#(mfX
zBAz-$wkA7Luj$r|jgcVn;2`e;?ssD=3l5*w)`Ql6t<SA<ZO^SotZS@qER8Mu1e=h@
zonSYzDeM+HotjFGC!YiNRX~TtdKne<m)Z<9Q_hQii@Xevka~)PLN$Zu10w>B0;K|b
z0?Pt(0}tUmHUqIhb}$-xCCbu>$hc^J$fwu^)w!uA>1_?&2$`jk<8V%`M+DS~7DEF_
zL$o>C0{smg0tuOwA+<RL$RbV5I5XMoY4$Mdnqz^2R4Hbd1Au3-1SPOI;8@%sM^Y#q
zqQ|jsxLodnaK-WtJOLN&y&Z((ilY$BaNMx7jvkH@_WHKHwoL0#%Ms}Fj^r9LKk3iZ
zXtE_<2iu6YH3vb5w~taVnjC&9wUVZWItQBvy9P%4+WD+d>;C7x=o=oG6iD-b4Ri~=
z3AGj1NdqFIqjTh%z}MQXk2Xe`TVVB^LKdUzu`+lU=zXuo2SUQ@ILIbk1}VIMKu)+d
z*21)yzhF)GQ;)#ukfaV)?<s?npmIqmp`u!Gql}qn)Qn9=^8^2QBl(Qp%PeK@^SE`8
zZH~Q_<DK&x_}-Vh(YULC)7j~&<i6;7;LNm7cf7Oju+9{4;X2=lEk<7_OA#%xTx7l3
zLu(ct7Kso49a<N>8Xy8SeC54%Z^V=8X`YvoXV06S7xvW)3<|QL9ik<i6Anfxr6eR)
zWS9=56Z#%&2RGTdL=|#BS%aEPJ*3W3_sEIF5qt;qLHZ--%>%|?dZJcG-7EK%zebiy
zQzQjy{V`%cv5(X}yd%6JaxvOPIi~V@FS8P|0n1PBqT92ZxMM<3+kVF|=TcYExD)aF
z6V@iQPP~)IgEx6`T)w!q?ryG;&T01Pwqn+w!VazmdzsEAE8{g#0~r)ss^^!-hmVFn
z1rYxRAK~-lb@8n6WaqBV{oft&muIkNqqkV#jkrU49R4kuC67{9X)yzV{#7#3l3Y#A
zr+YBln7i~mdNN&rsn4{4gunt+XJP>M0|+BN{i!xi{UCRUeh#NevC!h+Z-K79MZSXm
zCQy;p3N8t~6MbR_xB(<6VQsM4A6r7mR26m*U(oW=5^pc!+~DpI_c6YI;+e!?;+KS~
z37+`taRuVGxYC^$9E|;dRj}l6eVC_IRjL?y5vTDO))~z)dl_lK%WEL_hlHz6flq!u
zuoo!l3;kn!iN2%WpTKYa<=+?JL%GuG=v?5-RM1=Ms4?E8kVcq5940SPxs;nOMt7$7
zQjN$V#5y9Ekco{%TYL~InIH8U+6#pRAJFMYjc|WyvA91}J;(<7`VaY9`L_oagiP_7
z^gbLH{T>}H|4`SO)38-IN3Ld?@^ge|LfCrBb{?`_nz+`w6WnFuYQ+_HKXp8Ziuk;(
zrFFdJoNyOzjIG&XFk|>Pbd^3}E6`F<dy;r7>=1GnITq_{<~M-ptW{Ctl=<OjVv;y1
zd@|w@Bao8UIXqeX5^4gSiKpTF;n#8s+}Sx}j+tw2(h+kg(57zy;cOSa7?h_L*a-M@
z6#Wh<%pByWQph_q(I^2V?8C}-xs>dUl2Kon3M<l8sfiRPm6C2qKctC~x6z`?US*XU
z(J<qiSqfc+p9j)g9l9~wihIlz6<!HV!9`ffy498f9i{J<?v{LlgKx%rx%=!3<{VR)
zVdz>^I=O*tN?gHD;MIu^goMAx4}*Gk1yW2c_(7}$HURAp>CC6mcECPfZ!A{FM>mTF
z#MJO)P)wIfU&IA)Ue^eng*3~L;j7`f;r&WeZN0Wb`=+Vda`mo`Ambs~*@^YXH)GY&
zk;pXo+YBI~M367&2B-^W#y;tDwW;c7rJB-S84L>FMma%_lOMwUtx;qE)SgRZRV@yL
z($3}(=;ho&hGD0P-P9QRUr-_wLFMxBhlFcFMIi{iwL-#Q{2zR0SYLe^FWr_dOf7;`
zi1EZ!d^4UvlqPQBeeqiORQxl(jPMYpNh`GkZV?YD3f{5C<Y1yLP~CI!rPx)|qIg5y
z{b=yJ*e|j+tOid77Wt?8UB2O7-rp_wFmNcCFZ@NhpmkN`=+o$Q`M9<j`GnUeV+29B
zfE3Mp<Y}rcU6FcE#?u1SLr3U8h#kla<BOhP9M#jcdN7BuPi_~jAGs0!U8*i7h$E#=
zk-73#^}d#&rNR!p!JLjRA^xO$umYR|@A*zbH{nm=8Xtr{;yu2&aG$HsE`nZkGkgqs
z12V=>LeBbSQ!t+yz0At7G;@a8CDs-A*JH`&)EH(KtFzrX2WRIha!0ugj^W-hxpXyp
zBXyfxLHvyuz%pXc<p~$}HO(rRKJ(Y9oSnYwzB-;RIlHsoWiNnf=UV>B;r>cRJ<V)S
zv|zRoyU~L9D0Z7=lx>^qUi=exIfv6e-M+x$<Wu?gLJPJ#ZKt0Dk(H3Uhm*zhzzKMo
zor1bAD^KuF^!Chao_F6nE|4k~k9OBfBi*qkL^4$uZgcr~)pEjK-I?mV0~4P<`$OwN
zVIeD0gUI&K&;J)qL<*TX+I#TJmx^wP90nD5vRqAZs*^N}@zD4T$*>5z0lxJ!>Lw%$
zec~Q*13|5>A>jO1ZZ=QzBiQ^*1o}V-ikqZ<M8Tqyqy#ZO*xolFFV!<SH<tZR_Vpax
zQ#5b6?@(}`R54mob(l9m=bKFLXNwDmtb-k<Yfzjw?s;6uy~S15IS1x36zc(DKUa$l
z(HE$EkWSbc`C*ncI~bq!#`;gKx_VPikCu}AEA!P(S^&sq#f=oR6_SoU2eRNZbE<sY
z|24a2W<uV8a2aDoj8*G|>-rn{M+aSE-^dr`Hd+AK&vEP-?mO!s9_xFIIn*}WZ_YY!
zODb-?#=OT4V#nc3ev1~s*TN25jF^u7sb@pZ4ikJWevH1?wwt4jb7~`?&cBJwmfhM|
zLqMt$jQ|C|iy2H;A>;8Tcrj`ox8BkM>ZUzHKDH?3B-au7h!k7`jUgL75hILyYE}7c
zn2;_@@zFcVcC7{IL31^)+D5BloQ<(qMdBbuv12(W-=1gq(%fmNK083=nag+M@358W
zg~T-M1yU<^+$f{(2h#gr(E^dd(%R6~zyO#MZRr0qa4nb<8VeJ`e$g3zAGsi(R)hLi
zlShi74!jmAlIi3y>H<9vvXiSb9oT#96M7zbiP%mg;>l=N$W|X|e%6cY9kj==ca8z?
z`Xr^JItcEn|L8-Ew`Mm)MjzoP$ZqrtrZIPl{|xSq3D%gkk!`eXq^+*4leMd57}Uda
z*khno4a4^#B_X9TIeN(dJUg24E3>uV8g@r)fi<4la5^{gJn{b(?V(?Xn*1ZSjJisv
zFt6xk^nCgzchH{hE*&?=IRrG>C>0=YgB#%$c^@B+HjJryQB{uoBc=rB26hA&i$%g)
z!_TGGVv$gFn6J?yMbv(}X*`PsQ4j7X+LArVyX1Gsy{!c6s(?l39o$!%p+dwcLdEj|
zsoaH3Hoxdrt$?yQx-C*8@@J$0)N!qq%E~?YnY>-`sGIeEW*l+|s<2K_F%+O4QPt^v
zbVsHYYvEdQpI8|v%zdfO<ZdDi|6)C?25QDGnOlu5`Ydg!swjS?wmMe@j+;71ZK$?U
zpR0$oz4}g2;|4<3_!!`16+vgA5p*?H9AAa&z+Bi(bR#n0zZc*SaE7Q4Kj3`BFJcs&
zbiIKba0s%=k3zb7Gst1T5L*ga;k}Ro=wq}Y)&^^db;VM#(-;mq#0y-5|NlF5gAd`2
z@#$DH=EOKG8T}HgZM0G>!5&#tf85BpAFQI)*L#Jl1v~k=deGcgfq*i=1cm`xoI;uF
z^aWZV4HQS~Q$MVa+_&TAIkyQ3)M@w}HSyl$OUQ3_VuO+YOhNxcZY+s`)Bf|pMPWuM
z3dFqo;hWIgS_fM2d2OM&3Q~a^5k9g2y@d8sovA`}FLs7d&$iIs%a+F%WY&<|h!eya
zqBdc{`=Y=qG0tjz6*}55yi7u%J`j{c@FbI!5ZurUE3LHprW5@MyTArwBuP;9sUFl~
zilePe4c5)^+*jrpRh%e-l|fY`8`Rjzu~)_q&8nW0??&52YerL}Rpn+%8}*TTTipjY
z`(;`t%wc6Bhq3E;VZuh3uoKK7Sg3X@P*bQ0R3T~vIRd&3b+P{FL&)KGB5NR}|E=*r
zf378IchqC*RW(hev`X46Ek`S)r|7HoRAUI}lp~N!=oah&_67@Kb%2N3j95y{CZ-WX
zh*HE|ye)nLL$DD*GW!M@_%k5WejQL5+L@wp-}uisY}_&=qoA1tXVVa)rm?~p12>)u
za8Eh_`R*QMESdton`6N1osSR4@8AuIg~SY^0<i};fdS~W?8I!?Nc0@!&X<fGHanSL
zj0VPbJx;%?&D8ALOf_9eg;|<T%5kNpx=X#Io`N^ksd+TSAfdNA3kWwS;oX`I<cJYK
zFYb+>!XE?WqX+!klOP>_CpreLgL;6u@gkNG8w5{ds8Pf~z-43T2+TF67{43cja5db
z(aOASb^~2=Gw6Qv&>v_c(8?O%7oex#5NfAV@V=kIXW~|TF}$H$(NgGTphRTF1_Hfg
zD-c1d!1s5UtcjUhz{7JLlAxbKzJ3;PEvBGr;Jx327bgl3eFz7!ir5S9kQX11wa1=8
zt~_LtqX%Gj>uF9jE}ON0uV#Zh_C@eMBm(cQ1ojNWu>@=})(Z~<!|((ogGbRu=rquX
zD`2xw8u?|MfgA4cT2$F4w}><ib@LU?shP9acU#tscIt+3f~1D~NBYa8xdc{2I=P3g
zz?I?h!G8S?yk~aii%`J+(soL?$h06l$m-ZMqzzgGbt9|HE&6nIfZRJmNW(*GL))eP
z(N;>LIzlNSw+C-lA9a@T2x$$zq>13hY7aV&jd3uem=bISt_zO{!}zJ}eV`lXVq37|
zz){hWma$Dnrq*3e0iTy${t$J*)Y)ZaxcXf+V6ODGR>=5n&O<(<Kd|HYNFsrJ3tjDA
z^h&xPeUm=GG-m_MBxX6ikJ?B6K@7kr!S6u^X4_q}xY^rSsK>)e{7fsaKh%dCr;J2k
z%H#u1<D=M9<X^N8mLCt`B$16%L{UP+x8SLG8GIWSL93y@n8SRjRgx2=m%fEwCfHZr
zs0Wo@;Vq%u;I!Zj@tl0mco+MI+(DP%Kk*X8a&VNb#5Yn=Zm2cc78J&_rOC;d1<Syf
z!d|lp&gPuhN~52)U!i0JdRbSa&6PUPGx|r~66qPf5Vpy!wVmb$q%Bn5`_Pe~QFbC`
zkzXi;DaJau1)RoCW0q3sL{H)d(T>!Kt@t9e3Y;n>wQg#4wYHk4OjT+qZpDyu<cM5c
zVbyb*$H<N~MM-QB_7VEAD!7a1Guv2=P2j3?N!%>95PO;_%QS>~FdtQe6o^*X1W4#9
zW!R1V##iV%UDs*7w{~CE)vsDa-)ej}Mu75IA6O?qY=JKJ6m%9=4Hz&PuvSGNQx-A*
z)T^i^BC|wJ+M>ju(=kMODRGh;rXH=b&DahMiNU~+&|~kBlISUPAi5BbPz|~Dd>y_M
zyNuGH-|&dsK%Zh#m;;oHn1Xs@OzfI*Tu;_(>D6^cUkN>jX7a{Jkw}GTRCa2I^m4{o
zy`8>G-)n@;NeBZS_1VN?vIljJT16G7ym0P)p<dF>m<x0@stxfsHV{3H41vAsuh?9(
zieYNW+GsUS^?)<7fcjKT*PiIjjr9g+elu$#g|NlM4{AE&Vn=|Tq7G!fd=PAwr$SMo
zF+Y&|lP%Bug!6L)ej9CqWScdN*4i4yE~iGSgvUtbq?O{i5EEJ%91^?--7)CrO1Gqg
z;YX2Q(H+VH*sHpO0$MSKVJFD>%y&@y?Q{{)*WWW|*wK7JVGTclW7s-$Hn9%x3O%AP
z=s2t#kWdGk>$G`Fd%2eEl}T75ezlU?TX`$Lmd7Y-phMv?-U9V{Dpng`gYU!rcu|s~
z?=wHxYTQls6?2C!N&BhK)HbRzb&G`Jk@$?QLrWm0dD^TCERrKoy}s4@t21C;O;mo<
zn&{JXTtBNl2A%Vrt{8=Y-*X1&lEo0kEN9*~ZW;l&qvbPIeFt>Ya+RO*CGe(BlC9w3
zJQ8ye<H+x^R%#cmcx)E-8Gk}ckd$oT4e(p|AUNkg<D-ay;7~e3hKWQJH~i`vHASmu
zR03kn7?||9t`t&23Y@@3eKTy<MXsT1ut(T)I32FylgN+sYxX5Koom4|%szS?vk2<W
z!|Yh5DqWr0PbQPoi2QhGAeC<i(#q}Fd$XN!MSBM)CJ8RoeEK-8wOUNw303T8?K)^q
zm5q{clXz>62JR6PTWZ>2&u$1mqm7y{<9<v{h8)&T@}WqVaIx^rNPi{K?2R5W|BOnZ
z`{AAHM}tLFYz2NA-3QD_4LOQVf$zJ4{6Q6G@4|O}fS-qb`x`n1)?f_u!IS79bAY}C
zxK%BHKC%(?$zfVWt+rZ0q2<%y8eOAJGD{)_(ekJld5O%$dXcS}D4W1rz(vy9s#q(5
z7iNoXhwX)}mHi+41>0>)O@2IR-N)#HbQ|g=@h_Gi`DlpRR&|`xT`myaAKos_7Q2M5
z1!nsfLLUhCd;O}vqhAK!g`DT{HiJ~zHh~HLjlMtpy+gaBx_OtZLk>Wu=v@$w?#F+z
z{%K$1s0Y3W-nzxYTT+Aseks2n`jm|=pV@pwv)Cj37u*IkcsHh*37RL`BvL#wJ<<{s
ziQ>vRWt%F2>c2=iEbmlqYL6g$+=X|*4`APbz||FB4Lw4IY0FMv-?F2*DqI@dmmR{2
zY%gv&hjM?g&uBMwkvIh!Is<N>HuzN(60zZIJr1XIjy_#~rSVz~wVl#Sz7sti{R^tB
zi=d?Jkfw*;1@Z;n`U?jNgVt~NvA)OtO`%qirSeh*m3Kr-K_(uG7RSGlBk1kW{cgd&
z20h>}evI(MLRdFiS6iD~?r?jV#q=MrGP}@&fcLN!{R5a4ul1_>K5%ASg4$!3`UiCW
zlaxlvZDp?7UoQ@1&JJ)Z*@ZktlkwtYHhqDu#VIV!Rf1dm-~1@ycflc)5E#J+6RGd%
z9@H+PEZzm1idIBAfd;--xfDGW(ZjZIM`;CgxON2p4M_f`{&T)-zE9v934qfg=(WH+
z`sToX@o(^3c8TSSHPw^!O32^%U}_<IMDSWZ3af<U!YJW0e?*A0ZnJK+HiLwa_e>0)
z-y5jtUSU)5{g@bgs&7;;DvOjX<)PXF92pCY%lcbwKKKAS>iNt&hz0lH7(o&bU~k?-
zJf@nkMfiTg1EI8l@p0U3HksSa_2HvHExF8QQX`0u*gxn^Ad}8Uy2Wh9Ep-O$hdU)x
z{0e@MYGTb$!Qe>$32(Q&OW;UI2L*h2UQM6Pf5!hJkRqJ}h3-yduzW&yLT{iZ!Bd05
z%Z{^KxspOH%Sfxu_R6{!h$1#?0igirWJfS{m?UNt{gOP1-vNlySMx6DkjKq}<{6`s
zu@khePrB8(sGIt0qh0JfvI&@NA~Fe`j!C$eoW|^8tFp(LDr`CKE_aUC1;R2wxWF&t
zD{(;Sp&pR|;xnFrGgx_~tI<@IqU$3+!qq^Xn=Dod{^c8!S1pgpOU;wOD^fYPUQVH$
zV!6xmR{4vEh3LY_Gx2qJqgvKniMAt((7ou_G{L>%KZ5d--#Xel*hblJLVYzzuyc!;
z(xARvr3vOJ)dz2dsOBCZH>Vi~j4e<(Pc*6<S$b!^o_<|F3Cc-F^b%GYKL#gmJ8VC(
zhfz6>v#`_HTikqbl<?LlsEq4)jqf4c;mW}T`E6<yf#PeirsxXuZ|#}VMs6Oh8}Ueg
zhy4CS-ihFS*`Iqd$IPyu(?7damL)Tq*(G~Nj^t?`yc$hWlA<fZBbDXmFnl!a=DWkE
zA7bff>tsJ_f9F`^Tml}$1Xpp_E_*$pBD;%DrD{We{W|$K_6?E~CAc$|g4J<OO@;p&
zqs|7M;H=tQ>#L`jBGMkG2`f>AcuH&`C)00PiN7n<wQRK9gSqmbf=8GEQ@e{Si58b|
zi*qn-;omF(_o0et0c4GSUOpP`AbCPlgU3LndF<ce?dka^XJGb~ta91KbN<TiloiW7
zon0>XXYOe4>CmX?;pofAOF6|njIATL)92X5e2S%$t*hg_Q**X(-Ej4BS970s?R1_4
zR>pUJ8TXvs46YOh@esWmBTOq)kxR9zYIEhQd{_Pq9=Zgzi8@dnsf{)of`bIduHYw$
z_M|~2u;ai9b4nnsZtHtXDeEa~59>@w4w?W?q&I9irXuwN--H77(rl{VREsGcBF96U
z{0Q_HJ>UlkK-cZbuerY}W%kOf{fp07nqkj;owX--r~jbX2yz{tN<-DD$R(l<J%)9{
zsxDw#<$URG7&joU2xQ_fPw1YIKR(Yj!7&I@F$-BJ;T4-ePastEOsuNe(x|3iQimvu
z<U~11E-ACJFFFCH(qF61^>}kD_<A~_S&-@Q3Nj+Maw~*Gma^90AVaE#b*y!kb%k|-
z)wC27+Oj*TNkk8<0jTlyKx1gAI-`5VmjTpY%h%f5*E2Ndc@~xR?N^(Ol|K*vXz+7N
z`i+d<nNm)&&mI`)-|e?cWmMfvL!S{N=p$?k;U8NgX9w2?m?h0gD4dv-_%0zW{+@fW
zGiLv4%d!@;gt_u?x1NOOq4SWR<{{&}E^Cj}kOHJGs5R~>-PNwzRPa?-19lh=w7_my
zE20dQMt_0ZMm%To6D^xyA1op~;EzMc_$I%aE5=M9S-dJ*8d&Mo%psZ_Rirv%+tAS9
zH9z8QmpeSWYxbAyW!Y^rd#0EDdGBY74Ea~foV2_lKH7UF&k-CRt)>43eZkkn0Qwl@
z29b{Mj*8BF?luWy5_ctTOPr8cJ^q^OlyekJ^nA0<uuR~uF$2hrcol39oLFgwsJGLK
zt38zz<p%UGlR&|~sL{qMa}qFJ-yk!vI0A!o*8S{bb~lSa57TBjX8q5$(ON?&$EoZM
z_9T-*og{Ub!%B(0(HE-Eqszh_#dpCyf#iVOH#oOR=CX|GztBu~rk)W@FZ#3Nj}AWr
z8D(>(cxMMH1zrafv6a%u%tC9BW$1ZqS4%<XYWF>N%)LFnR^o`n0!i1CS|)koo4C6=
zuiI~d3nN*m&Q+sPA|8t&b7Gf_m2mDo)Sg2MObvCM`X{XHMp}lx+e`%_d;mo;9jium
zrPIJcaFOf9{{&_Ig+N-a2wjDJd~4p$zu-`I7P$+x$0&2I5oa9J=F7jt!GS5h<=&qj
zF^9|kkf~*&S=qnn^oMC3((3=1{BuUep6r3%B7wxf%fMo>U37+)h7_gBu~9BysqHx9
z?CN^u{uI9<p<Uw9q(71mB^HS<;y&m2YJDnXfP<k5Uxj%|OhbW%W}JYZTHw*2r+?Sd
z)m1P})eyL1?ckJq1?tnEL~kO6$RplT3)mg}b6|iCwEPQN<R*SRcyg=330{<~N4Fpy
zL_4fpY>hTqX`%chJ0l-M-{I}9>+O)6m397Cp^SwYTQlRb>u1*f8K1U4?cq;7V|>nR
ze;w(%6cjs!rz>G|Hf~`A{+y+<eU0l&Tw2^a_hWbW_!@~uQZT7WV#wXeaT!w1OK>cg
z!)7q6sCn1{bH9E?7mOWxS$&{>R{v8+^+I}E{SUpiaVvHK`$$|R-9S83$>Y>PW;wsh
zGRS({vR~NDm*W5A?}JucoNLaQ<agYM4hMbkt&VDSlvfeAWC`)XV}8o}GiPvCxlATA
zHS=)hiC^u~<+P`1($9In;<9y5kHD}H8FGt@qiOmZgdwu&Klm}0CAK5Z6Yg&AH?EO!
zw-P2MK838KC+-|a1)C{U;19AS>tR;W&579v0jaNV!BLY3Kh1!w`U(=lWc`|6*qo0*
z!;kDkU8APM9rP|$oypJP!Zphz>nBKTn8@D+a^3{)7>h7=>H+a5-T{4Lj@JjMjpap=
zvr<7|0U&|7z6N>Ia$H$kGUsM>&hC|UI%DC_)Sv%l{GNF%Yj<u{e>B)GR6wi}X{Dwc
zGq50~vSIFn@X6K@bm-=;$?hp}Tzqca(zvg#hmK9)RIVW`<Vv&cfzvk;=3q-9aNjj6
zKnLoS`MbHqcxfy!kC~g{wzLC5v6lF0aN+l(`cR{&$#hY6FVuHcgk=IHJm#*jCm?CJ
zJ^L?n3bgFkSWm=f)-j#NWi4Hq9$gOk{R@I`0{Q*j@*KJAvPWf?$?@gX%lVesDP!)>
z=|4yQn(7gPV?|GBYlxBV15@KdY$e{6if3)YTyTw^u>av$<EZO2otIq=-2L1WTo%V!
z%kSJrnEBg8=hAPf|A^t(8X&BFF}<b$DpAZ_4&2YT$QaZHYJPQ?dmBQmpz1RhnBCA<
zw=(0IIqV5gOFHo~yO23Uub^ehPhKT@;-k<$v5-;Q=mJmvUUXFWq}VJJ2fFJ8NLRCa
zhUE6o&7a#eCpG(JR=KQWnf|Poo>zfFQg!JmsIj%>WF7KW@V(?`n&DOn1FVZ}{cRbx
zllGa8B*$laroAidG^2$PToSW`szx275~<2WWvmi#G!vowR~Ee6`+$^s38{h|0LR=&
z+{6=MrLH3FbU9`_1N=euEz_Ur!C2Y<!0U01c}{PjlE|lcFPy_4z)aLdy)5)dUMLLY
za5Rq$m9B<L2MPZt@Guw5yOy^#@35y<?!)ZIS=+MCXRq|s@UI9(rGb&5(QA<YS>Jq*
zJi}^`SLumdJ4;Pl(6+`l#%8k}wob76tk0~XWsN}b<Jh<KJ@5t9B?l2N@NAgWFu@ZN
zhYkg5<t+4Hn0%;&<zPYR(`7>XrHcwvv!FYDmbNq1n5GQR<YQRoF+GI73ANKKVlVE;
z+F}wiGWN^ZtvAqSC@GM?)IT~qk}KT|tqn}@RrjLaO5WFb7d#JhncPh|ZF2bB9M3-A
z#NYw3Eco2q@*K6Wkrcat+`|Tw<(ZM3pFbzGw0yO+v$g|oOb3fkxFWO{@&hrdAhVSo
zK>wm-k|k>pt8g4Yf-S|SW2>P%I}INI-kTTLD7+@|mgq-*BwJJeQBmqQ`ZwC3{8SQM
zo@VK@)L<%&Y(}0YvhY{f12hP{?k(mnBiZPzD{47q6Qqh1jf@PJ0L>>5*y{h}o9a8}
zt&@j%uIHBWy!0q}AAHvWEkaYo?^3bIhG<)*k!CmUndf0|=tx!op9905Vh3?Qx!SOo
zjo_Q`jrfxMeQ;zgWI1*pByX>zuTeNWyCcx^9!f@t1K=CjKr|rU;QjC-cq2Rm-$7VN
zD@=gyBbI~O`^Wz?Fh3Km$T?&?GL7g<V8kPQ6n-9ijmD!pfPb51?uWDPoK{PFsJ>Ec
zvM*diswJj|rU#2bu71S3+&dR207ZOfd|Und18ai$LQg`^MR&M+<X&{7qN&^U`Q~~g
z8LNR;C3->L{ur8NdNC)Vm$#FRusyi_+!<~e*PF}Fon-SvU*;uqpXtn8rR&g-sP+^`
zMagGmDp?C=QCpKO$R=bf_^C<OAUl#{$SLF~av(W~Y)R7OWnvgX5u5O$_$+KSx&ql9
zI|x%~lk_n_3pL~mpbTvZkA>RtbMPY6$%+1>zOlaHzFofj{yqK*fzN@(!HOX{gh;M%
zqsSI;&7?v?Ube9<#-eqw4!|@mPHN;`Y9ZZ@q1pXx9quIj7Cv%cxDVVBt~>M)-@{CE
zlvx1p?^d`Um!Q8>%U}|wBupJYAm_qoTtuEB?~wP%Yw(+y2cLT=IgwmNt{{6s?`bM=
z0Kb8u*dORZBsEsiysLN72vw3(<et&^NUFq%mQd~B2$(w<<S*@a`OEny_)q%Dz`{W3
z;QinjAfBee6t@i7RB)Tu*676`HIYV>v3R@zF^QZFvmIlZ7HlrNnoHrA@Z0!P{0)8=
z--~zhx8ccuWb3g9Vf|&$2kDV?61@jL^-J;)I3pIoGwx0{hd=Yle_$SXKYW81<SB9*
zbVPm<{fWc)W$;?{LQ-O+`AR>nomY1%b>v&%i|a4-6&Hlw1nYoTU~0e>*zF(TpY4C_
zZy9(VNDfX7wt&xENb*Y6A}6B-m6a-?*EhPFE1~i$jE%!T5XGsUbSl%2<+;<`I35M3
z-WlP&uwSSvJc0M##b4nDaWQrQ)C4`47=4~@3h#X@;5jsho9YYT&mJKz66pj_79{Ot
z262|y0y@wzn0a0f_rK-nVPM6};1wugw9`jvMbzH%$;i0y2I-a90A{4hg-!?C1to9?
z9Soce@WJUYJNhD6H)Movh}*z}R3_R-UZvbnpJ`|Ht45Al3Ym&N#0)%<Yy{o-woq{!
z>~n4wPYK<HkwQD69P~HR_;dVJs6gIv=eVU@A#Od3LVxZlyeXN~AnG-|5&g-w@OIZB
zE0YfL7jc*vO%x+8;nnefF&0Zf>mu!9lg&*~_orzRFhX&8b!1~W6G&oh#1o-*p=j_}
zaDK33uyC*dJl!WjC0HZ$Hgr?mC2b6Ei(HR}<Z5bvtrfViGmSJ;ja5ZQf!A&;v7bCk
z9i$h-+Yw?{a#p?%-yf>e%6tM$P4h54-Gi^eQ@}VI3@T|?HjNp}Aj|=}0sWF1PL-mp
zlurI4Z;@+YMSg^;@hKjMcZ1b;6nZ{UGr_EEEYRO;uc06HD7q%{clZ(bS%-;_U;-^)
zNDICW-h$^^D6}+mFO(UA+ywE1bP9Y}kE5hg8hipUEo{6t&YNdqCy@>4G;A2&nrKE=
z1ro*$dO4^ax8XS_!oERsHm)+)lxxg2;hMpp)?5qlckE%Cvp!}8Qxx`+_OM4oY7Xq!
zyQ!_<er!P@)LJq~G$Ll;kj)GJ#2&F>z(1D%*ICzkDMzCtBdOt)(ta@z>L2<QTovpZ
zWP^_bnSqHxE;KQ8E7T6Wt9;lJNscy^=PF;-O8Ow9J5Z}JgoAabVXyI1#0s(}Re-(^
zbBXVn1uVh+#wBtg_A0xY9SGeP2HdF{{P>w$%v7c%^NC&xUGE#zM5-PYM=9ht@)7w7
zT>iDGO3=GcB|i{_iQf1^Yzev+xbI1^vF2(cMNd^V*@#w&)`L!ad8xj*EX0Ra1kJ#|
z;Mi;ud=xAlni2{FJ@|oiJ$wS5EUolbZ)gm7PkCUNk3d&psdxvXA^AI1oPI+OhEFqv
zWuT9R^BkWGp5W75UoHw+4ZpJ{^PJhtv}C@~ZRiu!Z`5IuAr}*^i8wf0uHvsj`HA91
ziAtclzQ*U_C_WBOkYuzsayQl>whFvcT|uEop{onI717p_8R4svPb?{p4m}I50djME
zs5v~>x1kAQMJXn|3*U?cqMbo2zNbCcGmN;{1n408v2XZG;sJSxnnYJ(J}{|l3e3M2
z;~Rk6qCY>3@5(2_o4S}Q$DLxEvLBfy%-_)CKSYJdvgAtW+pPzWhl=e3)iV{Fg^k6!
zU@q(cS`YmK?xE}ODKmi0O_+jlOIr_pK)cdWo*lgd*%pVxT)2z0Lv)EhLbO;;EGWi{
zgJAk|m()3&0JCcKU;^rrdS2TOy3h-=Fff!CVh8b$gg}*mv+gp}nWeagTz~!q{|2Z7
z79l~ffLrSVKa>~vJzPB3k6jIwS`m6Ib&z~R*kRT+f^7ir*)?=7`X|~99Aj4W0WuU}
zkWI0m*~)xl{A2VtKI(aJB0o}Ma(hVUPmlD95Rn7mBA+CE7gvev#mC|ga35!j13-7*
z6Yd>p3aN{$l^<$YyP}Ubx_|<`92~}1um^aAs7O_%5oRCk0up<WtIQ99J$4vB37kxe
z`HlQS*aeF6@40r|O7<e-qf65xsa@nvA_6r<8ZgE~=zh>>YoR63FftSI#m2?FW*763
zG1cg1B*6(h8fwl_%0Bs5v<}oiB_n&nu5haKPV6JL6jwr`zzy-1$V;=~bM6XHh%AE)
zl1i{w_0a1Xl_4`@D0rg>U_HT=|2KIAyq?t=iFwYhhuM$;{9Jwy|C$&1Py9dpSonK?
zsE5+IM%+Ab_?2eH(2J>Y<OI;?J3}@08}>Iik>A1eV<+TYtY~bpnP?t`j^ZP|gMM67
z)JBlzdL5EA21Vt_`iK;+8eT6Ik#38J#Czf=c$Vd*15!Xr315L73VbH=CS{g7R-3F(
zH>R2!Vuz9cpd0xWe?hDyyTKH1DJI06V%u=%ITt+1|M-{uH~t;}l)ud%=I6otng`U#
z(`*rT9NY_cQpd@=1WSy^pMpx-1HFedhWD{>tUu&Ow=hEbV11ePmwHDjrJM&>E-PP#
z3iwr|P-H~-fmB6$D;^dXiW9^G@C<88eWXlCF3*W%MxV+nl@@A2&93Wu#E6*%VYT0c
zsf~F=3Q1AFV0Ne{^NJ}CRajA|zh1#~;UxYZ&k6+ug+Id&;;sA<t^wTK>}((ACS9H0
z4R`8p;E1{h&dBOm1vCMv5L;(fH8YHAMv@*>Nwu*uRz48rqyI&kMy`enLbY{T{7oz(
z))3{;-q0?n3;m%K@wC`cN(vW;DafL78l0mI)jHZ3eIY!>?J*T84?Ocy#BXqeM`)eC
z4QuBe%qINcN`ixG0so9IFU%6w3R8u~g3fP-iT6WXI$Mst#EgUYvITvRa#5>EH|Sk6
z@jjp;VCWG<kG(M081wW=pqGw;UQ;1?4D>+jz|(6b^%8#pFTQZ-NN{$r2V_Ka4jv2=
za2|CR`%2@Wg2ki%!f$%7G8wufP2n@%GySm~<R<zAa}v$T2Ee!f3W+fD+2Y(h=$n`3
zFN0oU3dt6~@Kwl#e$OZ&oo~y(;l^_Tn9A=2m0>aZHPxM(PtJk6O))$ZTnl%=`AQ*0
zV=+)0Hfa0QL|~bJl&?hhMb1G+Zgc6GSXo>X>KbYt5<)wJgMzbyAHlQSLVPW@gB9~5
zd^Iu?CJS~zR`LvWkG2`!$L)~YUlgr}{f<{4D#6^*1Nt+w20r6GZY|$TxFkd%yKtIi
z38ZW`v3P~WLMy>7EaA^`S!^SAKNAJtB2E<`XA=QD1#(wrz(m5?*buXpF-P}-Z*#VK
zMah;O@)Y<@4~vY4s;P&xPFg7a5Ic!;pr*Smbql|N4Dgwe=aE>1j@qNWqfVH1eV~|1
zA8;w&)OQ<o&4Bqn7C;(c|Kd7fqXfDxvzFZsRF+eG6XCUx-(t1A6pjclg~FCjmSoFn
zm<1mSzw4W95_^T|!@Q<L)IhQi-T=~kIvEA^``TZcseV&N%UVQ;91PD3^I=?i1d~F$
z#b46=@WXHwm@KIrnGq=%of*x7Q?P{^QfaNSc3K;%-_s}RSG5k>L2Zt{+8Af1nOJNB
zBomy6iHj^Cp#RS7V5dN(-<fYKbhBIpC-EtuHI{+8&L-UEYr*`z51!mg<{jOg#_7vc
zb7}>t;`PvD#v=8aJW~Ek?gXhtFT=^w8<@WTJ#;-t1b+l(1s8<Yi+f;xdt0=$5)axy
zU(jN|>hIzAH`RP@9D+SM4rZGVz$Ev`*i%?%PoUE^O>bg$NA5v2bQ*gNPj4+5qd&7b
z+*QyFzFU@ACtCltTo6>)7f<j`;r}=~3-Bnew~LSOtnX$w2@b{GwN!A5I~0n$OK~V#
zic_2-#fwWR?k>UIB}S4>R+81(@$dY<Cr@Y#G&^$V&b{w@&hK=!yfL3O^)%My=RhMe
z-EayD6pA0nwV|r3y+k%{1sD1sfr?cNFD}@he*iAio1mMi-n#yyf#iZ7!I7a&aFc$A
zHF{66kNi$8M%c-P#9#V&y#!H|Jb?F;Mw}w95zmOnL<6FT-Uq9SlH_jsE;;~RQ8k$e
zKWuGFUt2{uupb~l^jAkq`|q}Hwjs8<wr{K>&6KGJp55yP&hUs^#4Tc1(qo8u%6H-l
zVQ*|sR0`h<<-+CgII!E-%)2x1r@X~^gfHYDn}55Yd8jH<RK`XEv6$FIsi_qw{v_{`
z)yb>GY2p)6j@$)T;X;yt!l4S0q$fdpG*>@E8lZ=$0KIcX-Utrz7Hg{Qtv$tY5iZci
zNKpI3J{10$KhcvKXZ>pKkFHuGv=S^IF(CUJdEphMPWb8}4im~m0{Qj*PJe$t<@=C(
z)05^|k$XRHv#)iadj5_4GX?EK6C(|TpQU2zJFo>N>c8vr2?m~S6TOluPnCqiZy*&W
zJw!V6BaewqR3oM~8%GwXgMVR6MKv^FJ7;g~*y4EUDC+#lnT>pn=5~jDg{`GE7kmDV
zreVg@d<)|O;||V18kJw9fOJA$B`+46L|YYH^Y8Od@$dFd&z;~o=}FI><xTO`_8a|$
z{Urk}3wDL)3yj<o4zcm5L(WnA=qpJ#G_y76jZm=tMgBo{z<%yWc)0?^0eTfzl0Rfv
z3YOMhzPNdf^|O7wvtL4mgqF@yjym=%TMsZPIy&aqi`br8PMK%pz5CqQ#9Y{XkxS7P
z=~u}w|EIi@|A|itJCVZp(f`)>SDxfK?#cE{%{`D;&S&zM_m@CAqnJN8{7JYYpH;i7
z<rTX!Uj1F4MMj|sTS4EWE|GTBBC5j+)sFl^UZt8d3cCv{(5YN|evfI5rH<{i{TR3y
zX{bgOv7fhBc6_y0wYRe=){3^r*14AXnDxe3^UR5cwPcc33XG0xaA<Cpo`+Mxy{MC)
z?yu%c%Nw3sEZ5>K>$my4d(Y=>@Y?-@^3Q}>ak{co@kqPTW2qq@QMVFDsLHfJZNjxG
z0(QeM+BH;ef2Tw21Fj)AgZ;uJqQ>Fj>slJwlbmy%KF1|HZ~KBdSGJzFHMVzj>~W5E
zezX;sWz%Kz3v)~KS8H?k>Bj`657UMz3Gw2QVPIN341DV^<{#_pl6TA_c;4pr&ztUT
z;2#sX63EWChP|<u;uQG(%7O}3N<OM?BOX#c>0#6<V!wV<Uq~e5O1($N{T#CfRfas~
zB331@3}cavB0H8l9@>o7QrJnSSw}dII}bYY;cIMQziyjo9b&y~TVy|OU17Y!=F-dP
z4WMofQPV{qcJvP;Es*_O$5$u!o@a92Wv>ezU(Q$EJ0ov}cU&MZn2kJz!Ejuj6C2Ba
zC_bemIt>46BtcO(=?iq2^npIZ>XS*VkDy51&1y^yuE3CB+Gkm5t6}d5+V4^OecK)o
z)!JHR>m%DT`%uR|M>l&F>q|@6W^`<_+=8cPENkWlG7HJQYU#Kd-WL8NLWDQvR{}5a
z*Su>U$&;D4(s#($%h%6W%U?VHNa*L-xAB-TP3Rvl5dV|6s1fa}mZNS}*JGVthFk+J
z?hVXbJ;|aB!(Cy^v;Dc-P|f$X{A-<MdjSrH0i&unDEXZnwDW&oZrstEj@yoM&bRQh
zZnP#Dwo_**2fK}p)0z6ac+b$Vf>I%G=tV*Ezy{yAyltMxp00UCy#MAE^6ta@Fa@0V
z-Pkh>ijIhQqs7I!N)`Q;-cR!?7nEP1G<&SgA=*$!=$g!F=zXiB>Nu0J8b-ih^}BV8
zwF!7HmEra{Yco18CP)cKoy+W1Y*p;zon>4Zt_kkpt}nL1d}Fq-A;`BdnCJp+gS;>9
z2N4`J+dzNs!#ven!avV{+_xuhv}Yuo4Ig|*f=a|1yAZ7e|LMHw2BDi&O)0H@s~v*w
zXRm73%3z<_MpKAq^axZH)0i2wo36&5<LjD5^Ezacg{+sYkD(DU+NRm8j;GGw5|$=R
zO#lMNQP&xA)lZu1I%b(+Na1SohvB#>L<>qC;a0>R&5NXjjv@E%uiT$JcXD&QjPKvP
zC%Kz*lk!&kQVL2(#zb31E8|T*KIVwaq9U_uZ&g)4Xb-fKa1gH5c7i>&n7NK|RFyf;
z7`gcdhw+}tZ8>FWW{tuNS<80IcFKOn{?#_#t~k58pSdf;WnC$8ziXC#kolxhH&!-R
zGJi1qMuNK-kH$*Hszon{s|01g>Rs!t?QNQ8&Yk3;a|?MJflJyT{32W?G%SC6epm4C
zTPfY4v{@^K;&$Xgo3yI>LpT|W6E)xzG}9SWE%<DPGMx<>rjt;eoHlu&NT_RBV~yCy
zIFCA>*q1mCCCqb|1@*8>a;apOd%fL^K6QQDN2}3Xhg(k+Rj!CBaCZ-llnnkGp!{`w
zjeP-c|2&7MaE?Fcd~TX|bf5%!Idte<@Nj4{R@4=R2htG5ro6-&;+0ZJ+ppEr4ro`1
z>C_i!p%1VG_XySAMchqZH<mUZvvja-!z%i!)nK>U6YOOjXPk3fZ4#qNO$&`lKJGec
zOTpjSVQ=WnxB2-BSS`#(r?wB0KdVPB2Xpi92l&7}-?}^{CoyN8r-ApmzjVQ=V6R}k
z{N`{Un!;xzyJFjs-SM+DU!){a+AR-+@5_q0;4O6@HT7fEXE1{fu_gF7#@|s%{e&tc
zW%|o>&~nW--2TD-v*SnS+60SxLE=61!|x<bcYZPNHf^=Nb`p+k(_-d@CWuj?Z+vFF
zYV1`gp5G_1!0!X2DVn?8bI$Wy-g#d};6cH#;JAX^K=1sNVEM@0*xvXZ@urw3R*-8e
ztCdXUlG+?(x&25@U(9qvwSNn03t3zP<1_4kyP0kq+nH9v9}%(6v+c7@v>meBT)mP8
z!uxkTsi(V*ZMSiu>5E-=R<LVEmF}ml6yFFQ;V)rJbaHq-=*DdRW8Z|l!=7WFjk$}x
zXZ`o{g9U2}zRRx`IEjq)F`?11-=&9gH`GhVLc4xhTCb$*hpAI^M`j&!9Qy(fRg2Ns
zUHm`hWNX;$H-=E}T4ow&*=oCDw>k3c9!Ijvfc&XXiB}UVx=Pymm~UA&I|?~yGs_Mj
zZmU<MFY%qi_SiR(62T{dZh@accNyi~lshChC3m9t7k`QTy72aH$$uH>ls_;ihgZic
zK%M549P$jTiO(pVG#)zRD7~EB$mW7J;ltkhh{0vrgI@42P`te~{fK13lUCM#6*Kn(
zyVY6QHNb62Y?ibvah9WzaSC^rPqj9+M@`%5nabF>Gqx+*8alW&VOzmNf3DvY(0x)~
z``inj>A6LGOY_@>UWU2{TjfXnEAk(Qev1`|$%;$aA-$IB|G&@TEMcdYAo}YO>qPZQ
zVlT2K4IPXN&GW2_tS`+IOxsPorLJ{{?TfvX!(-p%_%Y#%Ym$3yV%UAmK94WT4KkLt
zMl4JDvh)w?y?8ZnNS;PI!VP+>pdI|CoPUFl^M04xEB9;OL*G|_z5EKnG2m41&G+W7
z2~CK$71oQ5l?!UJngNGFM}0ndlNyiF(v$B1qGk`nzlKKqUYIf8S<TRDEV4|rJhaTS
z9<!y}w;^v3WM%kbO`yU(bbc|#QNiqMdTRO4JeeD$pAgT+YDRyF7$cpKGElLghyS9t
zkeABapSvV)wbzI21rk2h({PRU4EPEnk+-pAVYJXyTr5?VPbr1<{p3fg8a<EBV>E6M
zKL#}%##mtNZhm3u4CdT3(^Het@|*RVt-7P3Gt<$*G0d^p*}>J<y%pKUwJqaNky>Nc
zc_(+8Zb%kGGRp_yMl=l0asL9Y;A;ML|DwDq9&gU5-1gpb{vm-^fyIG^{-OSs`3FM{
zqcvhCp>X_IJTGpMmMT7NJ5d-<b%2rBW`_0rYW}Wa9tiXt$N_sTvgMkkhxsQ{8*?%1
zSh$}%I2t+saPCN$;a=+Qh5WP~rZeV|R@&yWUNlx_Q*^(qh=;|BVqHOwa1kZcqF{@!
zBGg&G=FZO*^49w&=Kq+V;&0&F4K~r!K=aV@XsP(GaWQr%dMQRo26e7JfDBNt>9weB
z{cWK61Zdl8neSRwA)%!tJjh+lOHA#}7s0w}VejS$IRwX2r{7f$nw$3aQKloNan{oI
zzP9O>L;P5(v|3u;B_p*D%<2H@RxLt%@;~_==WWj&m)kav_MP!t0u}tNd|t2JSI1vA
z|Ic8tNbguT;Yy5({T1`YQ{~fIfN<eW-U!{3+gumElX0MFk9nhYzkRS{qkWsThGi1^
zF=s7%kfFKUF%<;RbIu<V%&zmUs58y7mfv7}Z(VDjXHgC5^bCEO++F%!8L7&W7@ZdS
zfL&UNVEw>*Z%1#?>-ARlP4d48lnK~;Q!sk|gcmryU{I)0w4CrU))3SWNpynXwoe~O
ztz`ORb$FAlWhiMpZ2H68#j*@k`yXuktt0TY6m3G$R@L#r;m6wNgmZDiu!N(IPPSE+
z<>;Rtw_G-oVBuJq)9B`}g1^8k{UsblBE_9pO1MifRIsZ+&94*K;qU4<;A@OO2zq*h
zf~>&Ez^nZ7q4VLZk@>M&@j~KYv6xg-IjsFfbRs8EZsrziFg!Da`Ax=Qrs+`oS2i!Q
z479bgv-bVg36_5>FRc6QKVa+(bPTcmVzpQ=S!N?eZ5L=1<qQq^`o^{VKg=cdE|gs*
zlvMpVF-WT?^@>@-<AZ!?U)UPi9>N<eloFmCYL@@PKR-~ZpgKr*$D?a;b#9_kdNfu#
zUQ_%>TCB{|a`n2<cQ+=M5Y5Oc*o|~!v$!1ofN?QYaf|pfs0w^BFR&iB_i>c9*8!)c
z2NG-6TS{5>m<!N{=xn-a`eZz5NMV{#1bK=4jjq8`>?Nv&)>Et#%ZYv)uP^rkrEjM&
z75<TN!4jbZVO#VWSQtY=!?+V|gyfOSk;}2WaR%D<da?~V?S|3?$)J<~xoN)kRZk&4
zf}s;43dq}7b1b9xF&#j_?FS|3N<$;VNW*N<AvklY>87z1j(IOC7<ZwBylFUXD8V=7
zUC@h`<2piNP?DTR^d*L&!mMbARY6&*xa3meGvPOI4X?<zlzr%lTop|5Gon#GDA$#H
zgGC$`m!O)HEgzCsNrS~b;(3sLCE2J9Qno@<)CEanSC!w@W$+GNQm24LGDE+h*Cq}S
zeb66SK&LYc*>PCA9bwxW9`pUt3z@=m{7l0HRQ<N`efZjj+iWWKEeXiAU&?+5mhLK|
z6k#AMQch^*4^s8u$2<ZLm8Q4S&uENp(et%Ttqq*xR?s@9z<<32E9#JZSUQ6d_OqzO
zQ{oNdvxH*km2?n_3;l(o;Ka;}Rf#={ZHcdwG}M6xDdXU?UaqYnu2OZG8}K3RW=65Q
zxle`^ez5VV@uTsp@vZR^`c4vPhILJi(Z~B_9E7geW&Qx)lV6ScW0*}~3$Q;Ni~9XC
zay2~dqu|-vp*B{%py@0F8>OAZNVmk+Vy}2Sb}sq?1e6bvrO_K$=^CS*B5%WD_*0}t
z%q;8?Bw<SY2XUkH4VZp4pt&gw_5LTK2YO2m^oD4zIXYTR437<6d4=DG^~yz4&=ke5
zEm0@CWPE9i8_SzgpgnqKn9Vg|XEG#n3Hu2n{M~!W--u57EbXdlRVOP=mC=etvC1*A
zsMsC4@ykN9_~Lk-_<AAqKQASm=zWEx_?-B__)qbvaRH9X;pooQhN5^Ps2^jrkakG#
z3%=zh(6&BNv*^b(32#mm_4*#1*{}*n_!R7EBj28%%TGpKev5%OEP?aB3wnl~nZM{f
zY9p@JZ1NmYm>2;*_CQTgcd9kjt4gwROWp=QKoYzu^|0He<)~B^cXzM68NUt&iD{_3
zPi~3|UNUwEi{Y%>0ZN+@<KPT<&GYs9@Mx4Kk_nQi4=za}svB9Lhc<x==nmeROW?J8
zN2k%B(Yq39C+eMZ;NR(tKKuueMR$;WNE3OI7(%qg3;>lqm{kMy@AL|we%#YGYGbtK
zpqOmdK54li2u;O$+pd+;I%`XDr=H{Y?rEz)i|Yg;REpM6KZYam>kIX=I*Z;z2h@FN
zqCIw=Ubxo((*FjJRn&hVh7vP~g~Vv05mAlk2_NBnVlx<`_i^ki@w+uK+B2|Q^y#ID
zABnOAOHf2y&(vdjS)wk;3ElA%tKk~fz`qS9Iuhkk`wr=Dq7I&%Z$P4Eh+Fy@{U3d<
z-cz5Wzl3v@#90;SdH5M797}tAZX^7phH#~}#iu!mB>dW(Xoeb^q~F6iY}Oa(v-FXu
zo_wRrT3j>f05|DjEnnk6m+gl?n~hp!FZ}#f`oFmPU%-{Ssh`8S^&@r@YjHlKL7<#K
ztRb!wJMnMzh#%lUnoRus|DRzed^nooL`AS-TH`ZI64i+o#3-EmUTBEU5KoCWaN2Gn
zrh_K43@*UGh(&N0l*Ipa99Qrpo{sCNmX6cw>IQ_0g)u7>#=M}xr)2`Iyf%)yJ?>vS
zeYyTZCyCPd^m@3j2}C7at3kvpI3Ne(I9x;ot}HtgS2jY#^}Ydb?nnKD{toBj(Tn2P
zI^*+~gBNuS+WxaRsxNSQ<Pf<;fS}1LWKmKeQgD3ZiKWCI;>!OYaZ}=>ega4NLYMTn
zs0P;8IX#4HRvpJv4dW?OdxEcbT9#(e8{+y6*9YmH;mvET_W()ug#Hy*@(!Fk5A>({
zWBgY!+@Y2j(?xNQTjP4JCH^5!;E1;4I=z8YHjl`{(FpLC=Ha*s@P_aaFNhm(9sm3P
zeuObNgC)c~jO}hjIfBM4m7_nxPX=on|6HU0g1cEqAA#{YTyLNk!kA@s2gYti-Hr~V
z5BJ-qH^LD%&@1D+k3Jn^_!REJQhmLC1!Ji$@g448CEUFs#9~y4kKyiJBTnM84}l-{
z4#y=BDvt9Ke*Yn8q#2k!f;jT~aH=jL7T^xA#@}6yYgipe7lG%r0AnZvZ;(IXn(Kr6
z*hz1Wt5*qkIs(>Yj;5gUTph<$L$8JJ>bP=k@i!OhJMgty--*$<Tfc;J3*Zi*)uOY6
zfhdOK`vF&=4~}vSF%4hqFs8QS9rX<N^8@sOuW<b==)Tghhq=hYq?>etSVNHM#CzP=
zlep>&aP^zwd`-k#T)&feMkavY{|&Acf(vvb?s9?lQu_#M<U>?0K50RX$Mr0xSH<!7
z(ucrdHA$ZbPS<7}<KMXQf9dbRmOO{+T1Fp6457T#1n9j-Yq#_dL|d{FwSYWM{HzZE
zU9Jk*9s06dJcoZ0Q<&RaE%qPEME2GjX)Cn}WHK|2X+g!cR_Y$rr=^0gG?wg7{-=Kd
z9c&MJzkP9ZPqkiJGwm>*lSEuc0~~L?wRTzqZ5i~DyYwd*uM_dRSI`xYY9~RRK8P#i
zAa>}B;ad#qzr%Z5fy~4`oPz%OJgku3lE0BT`0tWrTXGS3jJ%Ie><)g_8zLK&u1wGw
zz9WAmuHY%C3N~XAvNBd3OF@KcgsXE!?}}NgIMEc(YzDk^e`uHV>R`e(g*H6`zjPF}
z!_x3zTfyQw1m$TTy(D4A2y2g@E+buG6;^s%2@CEUOP<${X$SSK<Ta3x4a7C_PjV*i
zMwqAqt<q_DhgV_z9mNsfL>FT@`qedYZY!XujOdl|$xY$Nyhd~+?-0+lbNE~<o_sHy
z{oRQ?RKs3^m-$7jO)a6)^mJ_t)T9I9wW+2*1LNse>R&CO?ghd1JH549Mz2CnhNr7C
z`9Uv-XK9hHse{4hm_m=FdZJI!6+gWs`Z@=-ndC*T66??h${wW?#_6xbBI<9DKAP(@
zwSjo2p$CLcSpm(ECiQRSqu!9*i_TC*ssqtMJ*#~KhD;se7kWHBSUWCn*NRe|^wP>m
zax3>OSynb{PIz`K>L9WKQ;!&cBgn@)XE^ruJ@v(Ed15*(Ym=otL~lb&s=f4Cy-5YA
zbnQQN2a!QCL~-Sw8lcn2bR?fmAcw)%*;>yb)~F}Qj;x)Ss1_!7lOLq6;$LJT?jGYK
zMyfvfjoJ;~)0;#u?LM)SO3}Z_A2c^PSLg87y$EK|Bz+WRLwT?ZQ<nN3TBZlYMfy9s
zBw-|$YaQh#aH}_^B(f{jjVVFA68u62InrogI;nk?bZV~NKz*bA0`106n8$~J!v0v_
zsTL<2a$V`OqE}c+J*5BEJE$j^LtHPduC!O~h;CYO>M+-m?M_71{nFw1pL#W8oc>9c
z)iV5M@@{BdtTk`2n#s<{5IL;#>bJ@z?KXLZ-Od$g_u~=ecQ8f%1CNM6a`yz9Cv()z
za;jRD(ug9OhpNtRA^T%T^-w<wo<LJ{oXUeDP3xoO@~S{oqK{CU^mb~xGE&!w((H6%
zvQk2iQm@qq@lWan_7yKvYh{mkT&_txF+hc>{j6-nEYV7zOw9pjG(xr1j)x1y|AU@-
z8&zEIN0n2yirZ1S+E3PDe`OQ2w!(JpA9^L1MT*gv!f}o<?j~uag1(JetkjO(SFG$6
z-brflr`keRBWB8JasyB)OJgQ^jkiu^vOn%cELK{-$5%AmR%*qgdO!L$*xo#SpK7B2
zp-hH%Y%ej2i?JKXKI#C}Veb%qsRPib&!jpjHDXW2!DNhnP0t|j(+{YP%E9<Wu^RD(
zAI+XtgHm<s6GN&02{niaSBicIg<v0|7+aPJ=#Qi&Vn826zENz%OVc&WPIXhbiFif1
zsk|c>n-k3ywNb(}xi?WwyQw@U$3vCcl3p&469-cL41eoW#lHFzIv3sAZ;@%!PTs6L
z=pIU%Sd^}3oJF)2MkoXvl8f=Yl+xxCf9s{NyPQKmWtx(`rP;BA;t*yQ_$C&<7G;l3
z3i+kM)NZOK%Ub#ye-JC=C&nuAM|e=Y)bT`F@)MjYpY_dj74{X`N-e6aQ)0w4`ik~Y
zT}9O~)M6e=-^YikE5O%3q`yPWw=%U8gu)ldXZcl^3}3lgWNTsrlv;o2uZdamN-f#&
zh<PCGk*w53_7i!SY(uPt`q4qmp?t)Bb_xH7J}`15)&i@u5857{x2`5mN4!EitgAn$
z7PTSKglULAPi69|+EJScO4b*>2>XUvMl{z>>1XxvN+Z1xHH$omwNXi|LzWQVYW3w8
zYA)fR*3eFNKhXnvwV_%)stXf>Zp%r`mnX`SGDl0HMstsh616qfFS?S*rdMIbx0K&x
zIH8=4lu$;{nN$;SmLBL8Wrucws!Tl6TG8dndeFe^1Ec>t<wg7lat8YenIRcOb@Gw?
zRjNUiVMk#$>rWq3eh?Q@C5_2+XXPxa(@9AEYrrq#Cljx*Lpvl^RigB9{w$ZMFGe4J
zhx#X0iUI5@L@>SAfql_Vt)Q&cKY^EZPTx%EP*wj!wAcINEiseyQxCMcT02t2T+>nM
zuZ~ei%1epr+-G{Mrs`X$2eKoUqWxr;!3<K@>VMK%n48b2Mf7fX7aUiX>owUS)CMI{
z^V2<uje<>?Pj{s5>vQP!Ttq)EM#bXt&*}!MF$h*Gi4?V^c25}sm+5+D54A}<LJVQr
zk@wYWdTpvLF$}q7+o<MPGyA~CXsUNto#YnsKcv6RR4Wm$sP#|;EK;|Tn<x{~Vav%L
zP%nDw9f@vKww4<2E=-brdSfPmpG@aQ+lLP;-PobD6FUi&dak>qIl@8tZ`Nqq%es|I
z@dwITVk#vvgV?e3H0nQshH~*LUB(z-icwRUzT8{-E>=k;$pY#eb%p84FXHx*nedy`
z2M4YQyP8@={z%Eh-*Pjtj*_j>c(cFPa+F5szuu6R$7hLGK|--hbLHt;FXFR$TqqW?
zMkmJC$>Ruyu@k96Gcc9zs#WDV${4Z~tzZS05Bo|h;tUi)o%EvYE>nW#oZ$v|0C`y7
z+1V@;W7%wY%TxuC%tu{dK0x&}nG9?1$<M6HKQx|UHEpGQQJF{d1qtRGE=;?0LEex1
zQe2&ir)EESf~c$BmZplo3G3tK<$uuaCZt8mFsVW;6uAIqs20tRy@`*I%F8RIf$=i2
zsnI*J`|-(gl6C-l0#?gbW-Aw!1icJZ8!FPF@YC*M=U~^jpF73hF`hF1PgTCs)Wn)*
znqe4eH1hT7DMT42U@U5R%J-t}WJ9=WpQ&He9AXo_l^m@d$D2&j#wdTl&%H&t1?o&6
z5Ilxz8Oi}=3EcB{$fZ!x-zFniqm0Fp^QhL5OeJqB9-)r(6wZ^bYGI^VjmL2|i}i;p
za|?F2wS*4gQ0Pc>pD<tO7=MYBtFq_~jF#`h9d|@wHC27Cx1f3MAzO(34|xR1>@cn$
zZ${oxQ}bV@UB+{KTfPb}8U8kW0&Dm<9It8gBD|w%rV3-DT;wPcsupEEJo+oi6XZ$t
zyj)W~qwT})^&6rB`4Af85&C9w7xu;7sitrUSD>0>H{S#Q_cAI(?9!j>jj;2i^>S(%
zJOxo{k+2_R+BD&R@7`@fy3j6qHJDvcHqsP%PbI}6@Y}yYmTrUiWbvzHQL*CGH)1{J
zrzX&2=oWChb}`)GWsvRLntGZl8yA3$vJhIyanM8Vg$jKOo5)^c>VrPGl1zXit|9ho
zJwP*gr(Ti!Kqoa;84a$+_v%2U6)HD()%N;Xs6_Wso2l=pX>@hA0IJq5hE)Dr<4b-#
zf0Dn-_u#+b7aF2a|NhC=M@{JxF+<;h<d4O1lW;onwBWKoEzmpkF1jsBg>&+E!pAuv
z&k`Ub2Izsaqn=pL7#E!zZ5ux)AJsZgb~X+El?XSIYtKD2bT*Z?X4yJ9Y|dh+k~%Gi
zP4A4Gjm=C4P)+{U*vud><0&VRpeag<B7juBQ`stC6yGAnf{fLT{Ts^>x_}h%Kxzn$
zl|gPP*Hcz$qlqa{J8WY&a%I3Sn#S!kZ0BRf$>z=$4xFx0W(k_?3m_#`MZapaaX$Yq
zx1D)Rb)oK(t%(1$8ERwYFELr@6g?ZB8=M>H<FjHrcsIAR|L0Jl$h^?*z-#ZKyw2Wj
z`K@9}@C*c?FdC+`gSXB>MCm#Fesjp$4w{Ohw#$}0bbDsm#ycyx`nrBf=<0A=uNqey
zbgnzJ)pwE7HIlhOPS*Cz>%=1QZv?9_2TtQb!hqPjh&!AWd>%{-U5Px6y^fcW7D-O2
zgk*!}ucwwvOrecz3R@rQpX*!;LpLzZMx#pk9OQvQ=8>kc#(VtVAT_Rl;(LYBW?Tna
zPG4#Ou~eI_-y?V9&9Dut>K>?8`lQKnTQHE<LO(TBOTl`rozy~PL2K#wKUxN{T>qrL
zQd+|Y{~Pois(e}gM*d3_W5vU#@>PHR&|x``9bhWVY>4j<Obl#~tW=6}n{1+em7$+D
zP5A``11D9C8)`|ncX7^kjIl<!9^@8%0y&?XWV!8lZ5zh#BTK25BuyMHpHzcj8(q~0
zr~{>u0vRb2V#6FdTAdVD&6lf6<>E=Pwy~}8GfHn_IBj6hFyGUk$t9>v{V!c?f$2Fk
zt&Pl;Odp{a404Hvb*R?vMnA=1*om_rMYPjDg2heiW8rV9qdbz<L$^8wq@YFOK&dS_
z_?*&D9wc{Ao~WmFom@!&P5%T%_F?d6dvjwAclrN}?TttHx6sgiVC%wDGn=i?hUqtC
zGBH}~ue67|J1zcJXcTK585!!D-@rRH=W$kb&szU4(T{Q+<!V$ys^Uxk#8`s9jjLrY
zX$I#IO0<jIM`J7VXxli~FUhY8{giyoMcXHXIT*1}j-L|}6DHZt@q6id#4lP<Ntf;N
zO%O+xh@*r$;EmNrc4Cddor3wG-W82zhb`ge;U$s5u`lr&%4)0vh9Z-06Lhr(kng^j
zhFd$^6CDriMeW0FPpnSs-<ClZ7oLXdrW^bdZVB@pwS!o!U(haK6m*tG#J|LLquVzf
zEZbR;&fteujC>zy6WJ445Y31!iFX1))Q)-mnD$s_$thUn|9~2L7XR6J8>IFRASNzD
zC)fx#e#koC`p{g$IGel8F60Ip7IDr0SJ@}tfi6;CZYWKT&yRfzm0vCtel-eG{H(W}
z$DWh!IT2_lNb+#0ayZTZ!rv+QCbm<f4L_R%!$4*YJW;!#W@>HfZ*T2NNj#WTA+efs
zlO+X|nxfXrj<X4~owKd2_}}R2#5}OMcB(_c&|D<96aS8#34bl%^5cO61@}V3BR@i=
zu7*7!J+vUg2qvkBx<+qG_CTHU3w?zt&T)KwQ)A0<YaN?z{Q*7P>Chm1O<ADEEH}=A
zG9$(u#;$FF{)e_wou<r?CrJ&(T;Xx7MvRZSV%=lsV$Fn0f-T-RemOo<Tp_&#Rd|N>
zPUpyMat{a^1DLw#5^v_dH5@~=H^XqvupFMa(_9g50lY$$n0E9p)HL|Aw(6(AME*`)
zuSC&Pvx2(zr!-qyA|1k<uvl&Y<<NC?AQTnfLSa~idPARML-525X3uhk;iH%YmlelX
z<YuC_+}6<1(3ac8T%c4!)|=^jv2R_h{3tu6s$$9bl^7HKF8n&^FL(_K{`!J3!5)!i
z@w4I+!5V!XNsPI`)`(M0L5b0s-b|3G%{?|0GEK8ou}wrzyNmsa^`iNhu{xh)*asK-
zFy!?VVKxyL;M3j<t@w{pf#{DP6DG&%ML#0>@Jr}HxNS5iHYPq-d<j>6Sv-mL)OEU<
zDh4X;F7A879)p|zz&|&hH1#oGFdxDmC(-m3+`$#xUU1^uGhOI>vK_HRd#;R<$4GC*
z8Df&S8QzXw!oAp{*!9?CVQ9P$Qhr*<g^_=_P#vW$)$bF<sebefrYEj^O}vFBaC^B7
zF4<7SKpEyk&-4*ILpxoG>VZm1Dk>|@wE^k`uy*c9%_Uw^MT3+im6B?JNwG>|<a6>W
zWrW%Y^|bT)c%m3+gmb~yxJ|b~FT}uBWoxk&(7(#Wx}zm?i*7)#rmjHo-<CLvb<irf
zf-}_8>RKpcl9WsGRk@rpU0J1^Pz>r=^&yn}=d~`nps&HtT?G<dTWSmSkz%p)p9a?0
z8dNWuz;Ah&YE0b(3(HF0M*5l;y^{#4Pv4;*@L0V764x3e5o}hEgQ^!$le8bSUs30`
zqE>nw6~a28&CN!|^&zUU$xty)#EiNKY`gaGC9q_O$VVMC1C^cSsP>wO+xiMr>c*qO
zH4xSK8akuD#}S^^UZKuZ57osX`dDahr|Q3<)|G;aVSW7cQRtENLyfpUzNe##v;oz^
z^`N^9Bz_{kMb*4MzJEXkxjAa-RZv;B5xSnMzrm{Mk$zP_tZzXLXcVfZO;Gi1ioVrP
zs8Kf8zXxlogFY0B<7KEGUPIM99oZ#q;G{SON^nKwhwUUkB1hsUY9+OddPUbXBpRFZ
zIjjd+oP*I*E(xbxDfAdK$%*<5?YTNiErFWfb@eki-oK0A#-&&VXrG6I)}AkXD>O$^
z=k#z!s2zL_Eu)mYn%u>-A)kV7R#a`KU!;P3b89Q>Ia2|j3kv=fZZI^ww~PbK)h!0|
zM#D7viGCQL5YX-sZ9wlhqI4J2(8c;K>W`+!e8RqXI9@~);uGQ_VSK!)l&;LuS3oUa
z1)QC2)Hk3Gci;@jGAeJXfz|3;z698-U*O5wz%}LivI^*4+X(@F*;^PzBHm#;q{pDR
zRgeEIY(ypKw|E6Gu+AbK<+(gr=?+5sW>DvfQ$N!~m<DiX9_P9lo`Z?Mhkwso;aA$p
ze>S*4bo0UotJ5WD6San@4Hw-BbsxB%$FRQ{BN{}r_$?R|E+nPhMqjIld_x|h<e;-v
z2=(~&$jzEW96_b`3M%OJu?L{Y4XC=e(Ti!Tm9FwBac6wBSXUcJZ=@&cw~;7XF+NBP
zDfK812#&|e=NP}okw&vme@V7xCUGb6F2Bv*rV8|zTDJZt=;;IC)!jtjBRXnNkYD3e
zHC2KOavk1Y4b)#juul=!O5>E(T4CZ>bZ<^*G*o%nT0P<e*#<14N+9(eh39SwH5?qH
zopeiP0vOg|>NGirn2!4H6)hQE8JGTxwp_h|`F1dN*D2Vu+0<U@Xmrdft8TTwS_Xg1
zf?e81@)PO7v)PVv&=P%(`4+S8x2()OWR@~znfvswbYbjhMpJjlO>hJ>*4t}+wGh#n
z$)s=T4V8o7xE)6IPtYe2FEmm4S#g8I<dY{UarjSK>;Fpt_ym$!SMhuC2C~<(r4CYW
z0oj3}PtiW=YY-?q$=}CU$3II8)fQwW%xI}hY4EtMOf}3l<(SRvb3<uUfAb2{JHsbB
z1wD(?WD;|V-N0_7XAqUt2U0WSqDJD)rS0fV2IN$!xL8)G70Zv676bAMtqHnlCa`zy
zcp8V3J?MdKE_c=NADn>!_5s5%0i?9Ff)A5t1K9oiPGo5WX0#fpE!WWg2FExoCxGiV
zN{UNq@-t<lS{xpymgw&t)_S9JH<H{>{fWM3QMe$tFguWPHIsRVRH*mtaa3o{(B~-!
z{9HScm-mWr6HW9f*u@N2qe@@pqTC0o{WkDdN0DVzO-dKjQFSPdS-G542dm|FaBbR<
zKeYqtIa9S}dK+R6ScAprDHwBkbbq*9tKvTWFL}?vy@Q*0H**rTnhunidXJr7EfT#o
zP<GN4Nj@p($PG~^cp>+e1JYJdOZG~|K!lu*Ir<2aXfw3QsH#7MlD-PKp1aYTe`n}n
z?rNj0D!&o!jN{xkLp@U;OEvRzLm_4<c@ezOubB65B8OK{19D!x6qo`(z#n%a@-p^H
zxDXo?ISh^Bo6xXGlh_2|1{89`kr~kd$snJFjq#PrPVS?FO)P60$P@?H?XxjpS?2n#
z(BPzq)ylVqx3nbNl}Ur5dIdX+JxBkck#QkZJ2*8&$E;EjrI$1o)w^H8LK%V-_HJ?s
z?F^iv)$so4NY2JSuqZO`$C%e!2ZKIy$8^H51~iC{aBlZDl{KaC|FJIWERMe?+(A9T
z?rWiqRu{;;R7!jhx4`kUMu~#)=)*PHfzIt<axJYf1*{Rt6qn$B?ZI{6igWkjg`Un1
zW>!<*5j)f>a&xgv{6?&LbPp0V)PnNx2%O8y&Y7PzEc0;YtK2Oyg%n6l>>ODeohp9T
z+8YX-b&@wGu5s=~y4E1ac_bVSa>d;XliDQrNjzX*z;C0@p#y_%7~CF3^!f1>p-F*i
zpmeYH?GAJ*5DT6J&xIZ$nYSADbDM-}N@X&GJ;@J(OYa`v&otlqn{$@iowPV<T+;N!
z#V&WkFlS50ZChn<m_C|Y827S;sQUV9<vCU}@5C4J<-+h--ROewkkFJ+&G7DU>&W3~
zPl1dVApPiu$jS;<e8sgTV7Vr0pH&X4-qP|CX_EL<C>;AMGAPu%;P=R{YHe-{b5i*f
zKPjvMkM|p@yRjz{A3kt0o55b<dK+5s*ZJe7Mb?M5sn(LFAg3X*vOe{i*$!W6E^~}5
zp>>y!i469LEu^(lqFe#~>>y~Ubp<K*Tu2vpDpxfb{oApa**M}cnNQE<;`~Ao5yqI`
znu}Tb!FTl=vTOQ-^0vp?!?M|Ql&@!Kh8^@0wl}kadW<=sqWW5{B**YHPZk%%UkT-f
zUt{Z{{z!ND54#E{;8T1MD;J#`?isoooEaP)+!#s;r3AyE1birH9y}1;qPnP+WEu2h
zRaDb^(QWvemR8n!mI0PemW3eNJurLB_rZqiYQ16IVhI?Ra)ap-<P1Dp+sS?)(u!)T
z>=*Ch%KDJvb39&2JR@dFSCG48!@Dg*J*clEAJc8QXNCrREn{V@7~h(=Sgu&}kTTob
z@vr>{5XyUi&DP6!hxdR8_=rA2F49M+zsV(~|Ke?gZn2c8JDL?<7y2t$Iyf*$hSrBZ
zg|3C}fw<kbU~{lg=z2kE@YOT&X9Uw?hxDh+7AjRG)l+(TYCXHxc+c|QVzTrCS)!t8
zEgY(i`ELy`_;F^@G@l>Gda0OxU$w(!_JPPlCbtE3q$@~PIw_r#W`jaM6O@%y_~a^*
zi9}!2Wb8~`L)?%B#z)L>kL%2pFgC+AS_hx@8xZDNn(iBGm@XiNY!UaPp_qYZThOz}
zE?}L`#jH0^xhow3>AqtuKRO_KCQ>wdIx-^MIW#*o3wqIB!IQz$1<e9A{PTR9^E&25
z3zo+H5+PKMo)R{R*X4*dikZUqHnueN1NlHSkAphvmASk1iv6K;xYJ^1EC=|{AeC%m
zF2ZU3j_FQ4*872kdP+JimJ)}Hf6KKnv+V|1@pq-6+zR`|+j@0qm^;AR?d8^SESJu;
z;{P>nH+8ZmI(9iu*$mdfxHG?)R+;LXOPKzKzG?+SQ6sc&$_FVNFD3}lp3zC+fx!*=
zEx-v&^J%^wzHZ*B-UFcjeed0#JI(VTyL`^;KuEZR*{CGO#ut&(Tx1%jm<rq8fmjl-
zn(XBeWYFHW&B{CGI+r`A+nZa@7%#DhL0u-OYw(aR(W@wJQ2+QO)D{+D*6kWAB&gyP
zym88@-y<U+Lp`Bem>T?8(=<5hzBgVr%`h*ve6~96UG07BcE@q#<SwxNX1QZJW9(?0
zZ(Pm~;F{AHiAvftxda?gpTXK17p@liIT+915+MBByajph^Sb6W%3Gh;+xu^>C#O<Q
zO;2^t6VFLM8Fs{n3D2PhkAMt1k?z4iF_AWt!<$gYwa<0J^(-OJ5rD7gCxl&*&JuRr
zJjO7Eo`UuJufz#m!Hy+a-id0&&G4Y$t%CKD#?n%`JXUNMr6$OiF05FHHjKa(;wzY(
z=Kj`K)*o%ZTXkCtXI<AT<f{GXzLoIEE?a6@j#$cBE}FI>&twr@pD3bsmiosp#?m6!
zLj!`d3kKwG^KAjQ=YnTMZqeMep8iNLev)%7$LCq?Y2ta2-8`qcw|Hn+e1_CQDW!hY
zmyuYH7;9T)`<#T;?(OcLi8kb-_I8WT`3aTW=UwF!g7)IpFwd}Ek+Sqq2j@?wrE&3V
z*e{leJcp<ANa%j(UZktAQ*_GBmGbHY)vKkDqu37oPE$kcAlnGrAlnUlU#I3glyKfP
z*WJKf+Vy?HK!?+I%v{xUpa0H~!+xR-WMj2~v|I2;XGA849ifl;Yy1tpP4WihrolHf
z-&4$UAiGdbqNlv)N)DSdFMC?ng6wzR%b~4;6z8Sq@>dl-Nv5Xhll80pnPUgidyXZQ
zPCk;HkhIW!(tR|sds4l`?_4SNBj#*FCw4zwkD5mm(ll8X6XTm>r@>R{9h@EP2EwB&
zJ_EIZ`N(!IEni0+KS+P!y5iZ}Z~n*H%kFUe?O5o1mN39AB@RkjkoexU#yQCzvm{`a
z`C>F14%06PuWFU2#hb^<MmmNz6_m&?>EG<N=1uin$xhF@lJ#fSm#<s0c4mv&v$Gp!
z_sSldwK8jUUa`<Mp})9KJgzL!HEJeX+UU1lO(>MqH|ZCo)}|y+OsbT4Bk6IWg@tY<
zZE$~+P}&wU{lkCevgoyBME_CSDNhj}3P+>oLv|$S0gD7>>L++l=EaiWI&mwNv;#yB
zx;Z!2=rPwq4prE(%Q-Ni4zkK!$<LGP6)KnfXX1TV?*!f6%&M3~UgAo_ozzKNCtZ!T
z5C0g{^PA_t@_W3c^S<}&$sV0`CM)n&&CJXw@iirDZnn)c$kRDT%ltlTrk4p%jFk~f
zX(ON;XhI$_bT+rN-f=8T=$&{raaG}8ifk-240JS)d%C->yM+6G!d82#Io}Xx2$}=^
zT1HO6T4aKlg;LR%V1g74i3MelelEqX$0vx-rHKlQgn>8IRCY3d+BDnJ)85`$%T*2c
zm`QAv*gWZdk}+9LeBtirn&(_^XRJY!jhC7I<VY=3?ja6Gb=(`Ql>gP2<ZY5W&QrqE
z)blL6Z`PlguFOiAO)~wN7r(l)A7|gp(z06R4#+PO?inpA9FrI5-KY*+DWlg?*_Plu
zpHSBQBxz(}W6_I+>Lj;L?vs2pF~wEU)gqym{j9mUv9#ef^ACAPYofH2^5R`UzUda#
zL4Dm3yd2tz+~%yv(pbMZDOFUiX&xepYRa7A<`}P-H`?ka%yR8@jc^I>(Mg4przX!x
z&PwW^SjzoAfpFfl^|X977I16m8-$?#AioqIM23fU7l?svzO8vfJP5zd>XS7hYx-9u
zGa=KL5zaW4c`U1P_VuhWUpM3&_HHjo3g3!tmTC1zVl36wP}MlbRK}j;nC*J%DqN^j
z;eV5fq;g4HlC~tSchl~0!f;0yTXS;*V_$AE{gQBNAC#l=OsO|Kt*c{0B9+5~Lo37o
zMPkuz!t?kp=`Xxf4y*b4NNOQlhX30%z*-L3zWtmTPR3<-Z%I6yR3v$Qa+BoSiNCu#
zJO8sKTi2M6nFjD<*s@dwZKC85lA@i$!-C)CSM|5>F3lx94RY>coRMFzXB5sHn_29u
z@O55RLDu!GVAj)YC3iOZ8#AKQ<N0zxTSGo(K5&JM8_ZK|DUS6CyAzKjPfCs?zIWF|
zwq{j#1J^KQyOg(&2XS!(pTrULF5;awUCojc!59w3Kg8BY7e>cKD@Hd&R|+@d)x`x8
zuPWL-ogj<S2SDd+Y+7KMZoOjL==_kd+m-9m-Ot^d-I;Cz>8cZ4r4k<4w_AprPV;U<
zN2WLVSu-lVp|LL?nGkFrnC`okw<9k<_aD#b?0%W+GM1$`%Sg=FmzkCM!`B?}D5q!E
z$T^lL`ilhzL@o;#q~EkBWGX$4-Oo2R_p-frBqu&kx{+i}8lN-~Bm1Ak<iuHtV_ajL
zMI0sUy)6mGD6+aHk{nSOD~-6E1#Zz4Fo23hyG2(;8^z+W=JC>^NBTj@QQPUW2`{op
z<{37cgVxhF!FJk_kWkLG%T*<jN(v(j?23CVlG_R;46`@3BpZ7gR<qMVxz^RP7;PmY
zje-LMw|uF2&vNH_tT|1y?3oYJKc=lt`!(%YTD$ar)5@fMn?65tT2AfU4ZaQe<HGG@
za{P_@H#+@u*rUdL^I;p4@Q?d+Qpuzh7z@vn8z=8dE}J|tv9x<eg3qzrcF)qwl*3JA
zb|GOZRU4!>Rbpa)VQw@GHM>7@IMO_N9!`yo@k3%e`7Zq9Aw7e%vcJMRJ03}-jqJ0W
zqZ3xU4!h~3hl%?VS0)}y+?u%Dos}@z(b{$p9uhO(hjEZ~wZ(FFyhY3qX%NivKg#>r
zb0|m6K9H4~aU?B}S}M(wHZ*m6>iJYI?T^$aX{N8WJw?3TeAn|2hpWd&N^jKX<TK_Y
z*V;JDI>nKj&?qrA>0Q#cBt5xo;pfRKl2#?nNh;w!<2>i+XkTSnVeD<#!}Ld1&H{ai
zT2nS4Wnp^ke&j*K9aST_$T#jO6ccZw20b0TgYkM1Dx0ZoaGDNV_Sq&N?>pPM9s8))
z?)Hh*lbp#@l3FJI>@M$m;&^E7i28je!#wsa)Gb}*EAhdxmmxNv_TTc>&&$gBHG6he
z|4c63nD%dK-PFu4-=|hg3#Il<ZIeFqYhBOaydJ(11@A(yV_U=o?If|6e#-R(yS2RS
zPQq<Blhie-L~^A<8<6gNEa_?DbIj7ggr?5&j+(YH=7olz+1K<OFwqyHp75t!PrNQ9
z3LB$GBfX=cC>dLcte;g<Etv!D=Cxi3%=94h895X^EtPDA99^7s5?rnq;KTmqKH`4q
zE}ZxnS<7+fLwmqd*tFI#iRI|qL<6m|925ePTA_=9*1pks^Kw6-bCZ!7O)s7PXIjs+
zqp8JHm!uj~?|n&2ZJBu@r+V&a@5sQ%(9q~`VYfU;dj;NsX4qn?Zq*%AU2Nh?*SN&9
zNg=#T#iVD+vy()(-*p?SwVJllmXXGZhCFsQbC3E;bk?saOQcTmpimU-k4>?KvGP#Z
zFOLru+e&4SV|-BM^*_l8%z3U7|Bo?fK5qTbcGhlmzE3FYI_FyCUXu733G8oOh6JO7
z#m{bM`fB*hE~6h157Y}%(|GG>Uhqz!y>GhrSYE($DXVDa+;lqqeQM*>`(I{!Y4Sz*
z{Nzi`v?ZB^a(>U<<K5v81lvVt#4pN4wZF(LI)M+EOtxCi%dT#Tn%keKB&o^gl1C@k
zOx~N6lW0jC?V9hLZ2!sH#<bP&Jy(P+L;r@_PqsqKF*u4w3BSZfMNdavv5T>%LKP4!
z4oLyzIu_H@i7j+_t`xdy!_8f-t8FD5y`6g!Y_3bLIqogU@vVRv?zVG@J;zF0YMFc(
zbB&>Lo2|Bx4hl7*^+KWij(($$&wH5T%DRs?&;9i2X&1h@QrCTX_N7beowS{q4YFH$
z7UePi{soUitzvb=Hp(O|POjwy{$F!-TZVHNsMEFGKO{MlvlAaDbx5w7yaZ=h#;rPa
zdv#lH%URTk`xyRVH&A2YRIjT3E7e4DY2|ostQ~mt+XWR$ikjkU@tq{dwYAsaBg~^q
zbCvl;#>QsKy2uu^srIGL)P$C<Q7#X1=1nd#;jP1GJ8ijUiu1(`8<_LdCgP^b$QOjp
z(XOFG`Mm-weMWCHPuXlT>tN>NjG5^j(}mQsX*JRsr)Os5e(mGApS!?YInX3nJ2Ens
zE)G<VYsbhDtjxbM)v-Ao-JPwR?-FjhJ0{*tT#+auh1=&I<1XTQ<NRXJu&zfU;XnWD
zg0ktzF72SV09&YwTv)mke;#iD-$Jo?Pw^+Is<d1hFW*OZxgivv2Wb<#jXS~*GhH%s
z)*q0Mea7C;@z(huAtm9GvzT*)!-~X!%NC#cp0TiD3R4|w$z9laRTNjn>PNl?9~7(&
z4DgY8tuS-9$U645`q$%`Z!*}7I~lQzQC|mVKljYfo9yiyC=&FA??*?*>&b=GNBTpm
z1b2<k0Vi{W?X&&9V_QO3j0?(5xJ$VgyC%EJxauT4b$qeywZ1h^#CjC&Xton=rZV*m
zFn=yUTM<E~&zpF2akWUIS2JFEEPqfsXm0dno{%)E{+X;~IANS(zHS*}EeiVP345}G
zbO?4czFXVxSl3uqn4cKe8+x+S=;`D|&8nW1De1nTN0x;g1wRD}e7(KLay_2yp2;~&
zvW|SUWgX7qv!-SJnd8jM@}Bf5f%?HGp>C1>v8G~sxvTnw=tkdQd!uW4$6VVYSti>a
z*bmtKj#<uf2_dAi<~zqa{<I&nt+XC8e`A_xti+cyguvdLMZbU+4O$*lP_HVRlpFFZ
z)R8FFg-jJmt*3dAQq_*^3vF6+_6oNTsl8!iL-Pakdvh(z3QG`~=9O(3R@Jh>avHf`
z#jw7<#%j>CJk(K_RqrEXacq29Y+7VNXmdfs{1G^>KfTqx-SaBtN;xAvpFJZz2RvtT
zr+F9qeh6gc*9e{pO^&Fsj`26*Z%SLeGg*v!z-%z6{B*dZwpwahzgl0~4#Ux!YM<=z
z*_+uP**4j>Sj$^lnj4zFGsX?SbM;vpQ=iTx$6?-!!r?JjeXG1xYN|$L#jIAVLm|8i
z74RRCN!%S3Ll3)#n~iRA9#Y{9IIC|gvn`!19W3iCMJ&_Ism9%)pETuuW#7~7(S7Zp
z&(U7X|4Sk82wXHL^gdKCSTSGoPYTTTAMuv;PS0zVHz*IOgh)sI!S^E2xS&J9r(h^N
z9(j~;p^J14O1}XFM-`=4G6{xG{72*;r<+RRvtFYXRmj%b7PWq{wnl2jLd!%{DViF$
z@Usm=xY1A(y`XnNp*DlK0e$*PBv)-h<>N=K3$%5$_433nA_|4jd$JJS0qL==phWo{
z$<a5EGjh%J+7vh4FikeCH|3g=%~{4laDIBgL9Ij2MkdxSJy(5!T<VWV^<IwDkn`ba
zFd@7=I61J+-w7$@bNp|7qOUYOf)4*=Wb<|?xEVZz^?vziWh4f=k=s38?xj{mZ~jN>
z4l-Q2ffn@Ca2<}URHF}>jt@*DK-Suf>faGl1htIGe8^xnjO2E+7Iq?&j^5%)YBw@B
z{ix%1K}RoN?+L|zf8r53SgT2%Izu(4kI)A}8+V~|-2gnvD*QRVi?J~3UQ3Pj(D@DV
z3;E@|fzRcpG5^sksD9)H@&_VKT`UiU2WmVz%>&}|gmCyqFeAJt^tNDFLF=HcAmVSI
zzcs%dxR;d*#s$-ZPeZLEnUP<Rdh<}2AAc(Ll+%<H=-36~4!IENUm3{boQd4=C`bm6
z3>V<zO+_Con>QQ#pvJcg)V1Yc?)3q?bsKYm4pDol3e--rCL9R?Bz!+5TuAYnf%@`r
z>MB(dxp8ZmZ`eslv%1NZHz2V9YOoAmLZbOx;~&N|pk?hatl)p*1~60E7i?iBOiqEW
za+Lm;dLAiJ6O|{>rpZXssUr*kh2cWvE*OXj;ol;=plp~JdJFoiE$9hN1bebhWMa&K
zcjSGcp0q<OE$);yE6<cOYEL~G-iqyHHWdS@xEGFwWLdTjcY)i%J%M^+fFX_h%Kgh_
z!OMM@?ai)X1|XZb60?g=p#3<9=HLgiU^7=k*3T`fHQk<`iY&bn%pZ)CEzTBWPqE{;
zGU)du8q$$!RKn2OP}K0iFc+zfm$?b-GH7Zr_cO)GP5N~>ziw+O@@e%d`czYdkMYjR
zN&p1P2;JfxqbcD>kw`Qn%p%qLT*wx(f$_#iPes;8^Uynbgj}!;A&9EtJ-k`2OJT4G
z7sLD21AT@E#8UVIR>Gq}Ax-sn<`#2}t-+Pxz5{Qt5_=h0y<TMY{x2aehu%kbL7tW!
zG|$dZuTQ5ALoK-xT$Jrdd>c(~U^=q{n3AYMX0v5Mn(hwHEN?i;4dDi|7r78Oj?HJ!
zGykv?*lze+zasZ|JT;Q)N+hc{v?<gE;-qw5*{|F{Ch#6)6OKUE%mFbXl#3R}8>vb>
z0!rM~=w`tS%@-GKEtrHuk^KTEWyHO)Iq^r*bTKz>02Q#ba!L`je#9!coe1<$%;+C=
zrWmk+UegWG(>ldmV>U6ZnJAu@F5o4+rJtY+)eU#19DRdYPMx4;P(7(DR2gtf+Tu^$
zOcq^_>B#)d9A^$8sVsrr#}wl{P$vA$4B|F%8R%BE<qES=>MVDKdqa*R&78)*)Bn?o
zGApS+w4Iuhe5HR@+91KCG`gW(q`LBUI422dh3Jj5!i;zc;cTRxkQ(n3EgfDFttY*T
zzX~6WieeG*U954O6KBLfh;BI|zm+@4`_ww{g&@gP6X7IzP3$5Mk}Jvf)HAvmT^+}c
zE+%+4J3)BvLZ1R%yFZfb4p1fN+Mx2ygFf7ZQF$JB?Fg-+^ST-7e>-q@v*Az;Fn{1l
z3otge16Pz?#tt_G>2A!wOg%$$P9qQE4P)bx|4o!)-qPpLdo076_198Q)cP(<jpO@?
zcT@$nK0Nf_s)|xk876FvR+PUeWyA_0Nu;$2v2z9Yg#Oyhm?PvArps@ISy6}lSuQ19
zih1O7s$1$J&XkQ>Wp#rxNYmga8K*PkMmWUI5nITIU{~KI|A80&J?`T>^vWOMe9Pfn
z%hPwLfk*|Oj<fWFIFnEBqQ}wqkum=dzKSq)m>b|b_CO~y8(yNt=rk5*6OrM$03-M+
zx0_$WEY@B0_lAy~Li8nVpnx*WGvX+DOzlc=Y#ymgZgBv!kF?9*C>7D05Mw_fmB%2r
zi@4(5$#-(qVC!%fvZt09+8j)hmdI}eN34+er}#9MCGkoUlC6J~x*&njFP=tKVXfMO
z2<gp{HbmmA77{(+YLtkB=($#-+(@yRO#cD$>@)HTbpz>!1=Jd<Hr<C7sk@jvlIYgp
zKhA>wpfE`2`{4L|i20>5GlJQKKdH{_!+q&YXCNJHA>Eo<#x%wnBSIIZRH{GLB;^<l
zDPqsLJ<JJxEu2?rbU*r6Ek)T(l%T7lV}DA`(0)?3O8XStQ#i9Lif^Ll6-iA4U+|{1
zU0Eu2itLMZkUY|L@sW^)gkwJ_sJY?>`CGZKoUYL7B*mq2`U0XK*66SG>11u9f&L4*
zoT@|3fMcpVsN({)i~63bgi%P~9QML5y9<ed&nP#2`TsaN2k^SGJ&GTnYlO9JBlXmr
zsgbE|r8cLwZQD$ZsqLm|e3RT<<M^$4U%tMX_O+etyZzs5{TBANh452<q5h!yVMie7
z1f&_SBsWtr$dsuII{ZUqhSp~jxCr_;Ifebr)TXUm2IHrWl2e&F`i69V=<1(9Vby}1
zh;-@`L@IF|%+V-ftQ@6`LAG*F@nd+BS_&gp6=IPB_6Jn3H`EW>OQD#rWN<jNxUWH3
zr{UBs9;QQUq&3P#!5jW57n04QCW&f&?T2(&PJ^=LlF~<QOAf)=?H?%9r;xocIuogy
z_;1qC0#%|;;=BF}v+W&uma2u7vIn(*8cgwMRTp{|9UybaL2xYSX^}jGq^v4fR|6Qw
z+o=`wGP)SsgkMiP)iTs${a^aaT35{g%H?t7i}zw$k}b79OhG=EDv6wk9QZB-B=GJ=
z!e<>SOfONo1!u{%sM$)H&;oIlc2v3$dL;fWf0cd<ufpe{gXf@<zZ))wcZVNxTWN<d
zPuMAUS6j(D!5q9Sb4V4atzMQZsBhu_Y@;P;>xlzo9ekPv;g<+#EhrTn{1Q+h%>>m&
zK$dV<WWdg$-crq|-P9RSXzNlg>LaBmf0J!-Ua5{=X5d7ALr-Tav$c>IoQ5=-J{*#@
z=?L(vO|+M8%Uy!be=#{9MBGp8C#sw_mYB~RrM_UMrP6Kbv&aQ)gbWx0iq11)PPm4;
zom!v{3@;8Zk;W+H;74i>#r6`Uy$u!#u`_hDu~3?yK)RbM)R2!T?d1kie&vd`0F~Gd
zN(rJD_zo-K9FB$itvLCT9E94|b+`;GLnXcj^w&z{axx7$dm>!Z$sl;vqb`$6FhVV8
z;cR*h{hq3g*?14@%Xg6U<LEO~1Ew_NhD&|{v!0XamZX{fmzf57dx%OUH&Mfp>zGJ3
zB69F&YLaH6Fa3&&hgLfR4&1%u9qJO{kxq$vbt>7D?62mEG%_-Exb4ZxztAjR5UpSi
zR934<e5gezM*0bjSAKDCc)gTQo(C<;KBbIwB78{f2hZgx<tx-_HK8y224?0Wb+4SQ
zo<t&PQ(~hwi13lese3q8Z38*>CeqP9(37bf<P@ml-(u%`Lv5%3rmv7!$ze<}Ha{(s
zTaY)Kj@-p#^n7Ge)nR^OJ?TjK=$*(H+d`kAcakko+38EYq}t&G(1&KBWp-+LWJNlc
zc&R?bi|P+zBxNOcX)<(p$JIGt96UqvL8ct3R+THNSIG}bt#C;p0Xm=-VuJXGx<alW
z?kdz#uc#%Vp7D!!l>+h^@YhB|@3B$3uKZB@D0O8-4XLl;d-kb2)s^aEsDh7B(8Ot}
zL@e@#M_~MQgJ<XmS(m<wU4lT;7l)N46Fee2Qx?6tgo*^|BMV7e^Kqlj#Yrp|3iF-h
zGUf$Sj)r27Xh~LrddA4qAn&Sm2@`V-bk3#l0*@qXk=M0vcrh(aHd7LnWO5JHhM2Fl
z#wlu*{6pCd{_;2Ffv{3K0j<RrD4W}g%fsKKnrfUf0?CAF;mX2m=_hi(MoSZ=LBcNK
zn$lQ%E>A;-UMXdk+8>Fsm66k&qpZfQYo=xdJzxp=n1jhaa0w-1E$c-Eumj|yUXW2#
zG3X6nQM<sznt`=tIQEPz3VRq02M~3dK26Vo3-ly(PG+hl7~XgAvkCM&{GLm=`Rt;?
zR7ac*B9LvKgSB79dK^H1)(3O%EzttIOFG$D?JL((Ruc~FuCzK_jF5{Fz2HY3r(Ttw
z;U0ZoeGgX<4gIrT`V9Wl2<bQYMyur?;#@%$U&znJYEX|)RU$yx_$e*Nd#wv>15I9n
zyV!5Fz1B<Xr&-`oC*Z?%gDJU#yoVj4Alfwt<8%o%kbVlL^$zR|yO9l90VlH|^l+L*
zUp~TTz++yrR7)hgX5%wxO%2CO_Ao&0aAqUNz^OC^pGXtB7WE0L&Jf60>2yz&EDS_*
za1aU-`N-zjX(ikSZNvtACvU(y7u6)WhrCAJq>WU^$QfAY7szlCD$`|3PM4EpuUJj&
zEj5uZNp0Y27$Pl4e(GmgRaj+$R8(3crAr3rjtZ#_aEI;-Cf_q{F>wnH;S{x{mOyMH
zFOdVt^3ZN(!ZmW1^5c|Nhmy$JAnw(}{3{A~<p%8VBGgdj(Wbf7V(J*R9`}vX$m+O?
z^x!1&De^`xAoH~~e&r=@OO>ILivzS^GVbTY$l`D&pTJq+EGfa=-CN61yOAAf19?>a
zuFM7{aGrLN>`aUV#r~jzwNE*&OjkO{)x^i*AJABiMXK;*&_;G6(~*~5pi+!LCQ(Ik
zpg0Aefhe;`mFDI3vO%HIr`ObiT6@(1$8{P$FM_C!Ufcru!$5)rNA)S_rPH8Vos3=J
zADlH$Vc+{o($pZFI1hnT;X|7@z}cdQlD``$6_2P})Gv_K{yU*I!6$JBpUfc2N2OCy
z)JpOJ`Hb|EWvJp*2Dy*o=}0OEuCzf=G9Cd<VFna|^)P!4WD1f!BeZMUKS&m+j}~`F
z-s@1@ZmvLOdrbZYCdw%Ju#_!1;h6XeK5Z86@g<OXzf*c8mX*5U&M{g(C6CAdOUviw
z*H9Mp2l2Z)w1qTO#BumM4caQGeyc(+dkcEj{kW+X1D7?2jKg{CJlgbza#AHQD~r+}
zsT<Ty+-hHA|7eU~X^gox5@U5evd_2BF_?wNa7M^aJ;coHMpd9@QE^mP+)%z#`N0Ss
zNX;PEf-|rINi##B!aWW$LrbvuSCW4c7u1`o5zL8GNZN`+-N~&S152fqx<LMcN^S$S
zjCvA@*F)q85dG>%FQoOz{~jQ1k>(=#v5|aR?hEDQIcdJs55MA<w#iP}C+n3;%2jX?
zPpcn6`go+igCl#q=GO**3s3^|%|YZ&tfxhx+O10!#`pa<i0+T6O1LdGp<7{v*^7ka
zztG0&V8Z@Kdy~<#Jng5lsb|Q?sYTbqIyDYdlycNUd?w>D>YtJZobl%1zF7<B+==iR
z=MdG&1n7gWf(xP}c7jEa4Fbb#ByK-dv(@TQ8LtE@{yaSGZ~`HN{0(YULy=lm798Qn
zXyqd5G+1xzr76;QX@is{{g(D)PQC`y=etxGIg7*4v#IhVa6BcYx;hkXb*gQlhkmC8
zK%f`^55JX+BkRKTf1S*QhHDzN8cEjAaRw#mbd1n9NT)TTXN|Z+4TIyW8(o2>u(uS(
zE^nX<(#c=}O89z9-TVKK9hkGPapKca)u<S(LRZLa_!s6;X(UNz5R<`xoeg$G9PZs8
z!D5-L-BWY0Lw3<dgNgq{{V(zImbx2Mcaw5R{)l9-nIOBjmy5{`WXmEo156-~lp{TY
z!gqu8545URrT4f;31BcKqCeY#SHA#ffx2M03__~aeN|Ndh7-C5F#_`@k0?*}CO067
zJOi`RfbrK2?CxhcsZ~d+KnwJ1FWh+x&^nsIS^NghvmzBs_XL?O9>4k<JN`>*55D$c
z=jnve`jm=5zc0oZ{t5=^2r@tBLOeAIYW2Bb>5m{!p<mk~k$n^)fM{G5J)DG@)LZMT
znYI34L4U$r3n`V<NT?U<Dnpe&mE%}@ipn184BF+Fen~I!BZT$GB1g!D<t9jm?k$gy
z6R<)rh6C!ATn_776lgWcYFY4FR)MYY0_+J7dbTxO!>L4VtVgfNe8?rA0bb)5ils~7
zM*JE74xJIy+<S3$N7^;U^H|gZj-k%h77BjcGqEO($69;}y}2G=k0~$KrI*x6%-^**
z@im}0%1wSF6Uj;7N5o+yPa|u?+4~rZ`tH!qH~YVeo+GYl-Lx-I__t8YsWIv=B!JFG
z|146bU{@TaG*%uX`K=1{#fj2gjMsD0Bx#fM1U(H^B8WzVz<7KuyX9<r<x>VK+m*+P
zpwv@GsE0s?X|L_md|-PG#d;_Z^|8w=BX5&GNe3!URj2_JYAV?MzhgEU=(0#n`WvHn
zB;5mjT@F7dFgG7l8CYwdVy>3Le$otyNfYQ&^d+>sKJr>hQGHMk*@QK21~n1CHVLcq
zL$tRK?geh*5pfumv4TVe_ykNu7Wh2@kZbnfl$s3k_b~V!GL^H+OeI1&A|FTA-5#`M
z2NY;yuoAUK{`Y&#+g;Kask_u4<M<wWxjwky$B;^GLUwa&WjGigCz0T6R0rc+$l}cK
zP>Tjj<uSpMjj_{jCeLCV2guT>vGvD^?f_QeM4a~Yn47ggo$ZPnZdbYsT4kcY|9|AZ
zqMl%lDu?#B!I+Mx+v66RgwxS@jO6(k#S^ert-{w}?74lgN`-M+UPF$?*^U6|Vlx;p
zGeKBshH+d8oQLO_yT!F@`0jecEqqHEjP+>_bm&c$j?kw)kf+KuKoHvq!cz~a8B}*Y
zq?ytsDJ<2&7)A|2&IgA{W%Teqw3x=ewM<EeFME%gr`7@S<)fA#JKX`|GgkkaWLI(q
zoUVSd5!R6hn3DzQifBc7jARZ!%FwmZdrjbFsfo2I7AutjJ53pQ1$a7uQ{p#_`x_X;
zqy9f8wxGpZvC2)r{rebo7`rcc3{*D${<Y}a9%K!)_C5Z~6TmZS4V8B~SU(rwBq^*h
z;KPnb9!|1y3MYYvAgt||+oBy3UPCTPJFpVZ!2Yrjy}1ba*R!R~=;51C>VKC~ux3R;
zOMejKxCX}m7rdD)SJTnbnb@~O@TClZSN;g`o}e(c63APiPjrR1<|C!yWLpSrveGg}
z>L;wMZ_$@;@$WKa#$2w6^{OYvbQ|<}VYK!UR;Tr7(-w?|Gt_ak@F-^RMVvY&f!xs(
z`<RYO2Uoo<>VkgM&(0FdFp8^#&|~<|kB`cFB`qCm@J_X(8c?n%ldwaQ@LX<z#=Qne
zULNVbv<K}Q0ImBU$cru~Rg~)Ct2z323U;CEQm$l|tKoMamh<GgnC&l>68O~as|7%u
zI)@X}pK#l}!=CdeZkyM@lZnMz(ih*~L(D}5t*wBsYG_Xnx;sX12f7|w8HJuC&^i~D
zixK|c{o8^bHq#nvUf<B>?dZ+Xn579A$?Y&pqbY?Had!Gjo+sy#UC6@Z7h(@S;lIGz
zx(oWyKoFUlY6Y}!>L#_XYE~05PwU}6y-aQ_>yZ|HNSX)VN*#Cw1Th6Q<D2krUqQO&
zMe&jNLCh4P^}|Ya0Bds*?623Lyzh*3V?k+;YNsD*C);qtZ3zaEk7!RG!2VZ>8jE_s
zLyW}$T9_ZZX=RMrS{Sv>(SIG$$}TuZw8hWrqqR1)R>f+Yg#P{l7TYI${lpse5%c>J
zc9;uTz0aVZXHZ?JdT6T?clq1o1#qy3U=8LldRODr6oIV4OE^a~0KMo4ZdgUsmzbZ`
za0fdiPlDGv7PE6ZoFoKvvXjJCVtKJRGT|-wDvqBG6PJjm#jo&_RY84g3u><g<>7GN
z>y*AYF-5^^{y}XDr&9!+HE+Pz7)_oe^T?{Wh3?1qY(ndL($na*I3XRN529Lk1U2%F
zI05cNy?iyk7Gl5Yg?6__|5m}LQ4sx`N9Cb^e`4?Xjb2VhqW5k5ZS$}e#o^BCAm5Pp
zaYoq-KiE*LfRSJl+{B7h2M)6x=uMw`4)1tY^$Dts9TXKO*<si-AHj{-76DD~#ACQ=
z*B3<);CBl%g$cqqVV1B%cm$V5IdKU3HYnCcpI(tn@&L^1Jozv1C1TXc>Myk;m>?0D
zClb*gM7fI863jn4P7Cm}qGfmJC-gJad0wOH`UGEZ@bw8ay5DeYenoBl7Jko0)V3yp
zCfx=8xLWAp2=p+II~$~CbTsBROG{|^3#?2taFZ{9wqC@F*9gR_XCSOi!VaScAMFtw
zMMJO-U4dJJQuo6lc0&FG6|Rv`a(xuHi+#nCVy19Lm@D)YDhp=N5)p+Lri4mDcOgO8
zE2IcD;6(W<R)k~osZ>&4f^%UL`0?`NoKy(JqS9D_N|T$&AlV6{D-G|D-RPxoCOt$;
zf^hH@M75_HD$13?>MqZeLy}blBhgOK_wFN0{V*JW%h9j%aN3_i&&8iyLvO&Z{ny{q
z(bo;p>SV0L+t8!&=+Q#B8@b3A=+ALj^ZYpV4<`zM4=@Z&t36QHyjSL-g_qzVBXN7_
zf<8<{KCe!^3KC?j@F9F8ybKPtA>mQs1>wWt&v++jgnoS@M2hj^dCbrmAnV6r=Pj(P
zQCPfxQlQ%9;pIJ#7>rYRCG_Ga+`0zR`%w>4>B2}*`~zRj@Xzv0ESy9>@B}~5cTrFH
zuadrx-i8sp8~@x5C-y;{l#XFcpQNwQiS$kS2Ht?K<7fMEhFVCEz_>1rs`Y>UIR`%e
zN;oTh#Z6)`PWwN=l&gr9c0PQZ7vaGOfOlw84#<^2)oCPs!c63l3)fXpp&1_%E*};{
z-$Ktr4?@pE>BwK{7~U984>uC_z!N`8e2CP5IZ~R`71f0%$}QYuzQN~W!mX(h`4$zE
zS5!lK5AC3fG41dwHyoa(zD#$p8aw0Xjgj$Hjwyh=A^~ZVFEC1v;Ow`Mo=gwGcmLmd
z^e0AmN1P$X;#c>hl|MmO%!j_O$24SW<1?}{dH8geqi0Lvo^S#?YAY(1%EE1b23DaQ
zVml~=??5Q~g|+7^PPUKbdh%(hvUF0cfxN2`0w<gZ$HNhFBQ!JADO4>~EL1+!CNv>*
zG~@_13m*tGn4#%V>U<Rc#0kGU+_Eik`fH1IXQ-y4I$IhQyXN?eJEFQ+j2X?GWPUIb
z!@=7cVp5pL%mHR09KkhFKhMUDyovU0$9gme6^C*3P`WpEnC2Lh4Y2++K|A}P<%`j;
z|I(SX3GMrvnZvAQcHs4I4qm=0F(Ld7b1-{J`T;c?JB%CaU4PPsWRk9g4>h@HZ3|BE
z|0o`e*XvRdX)#j0hX^U*;b9@PCDb$&3|<dz3NC=EYD4gRFfCXP2{zwCO~V($m4u^0
z1?(&haR%%p|B|PnMsW{hgo?y3Vg<(OeX0pYSutil9DF2RBwMgu@y^<fZ3)+Z6fy=c
zGpm?*IQw$&9WFty702H36L+yQINO}XpH9NtQ4!ox`_qfC7T>}vV1TwUWzdT~nF*ky
z9zo9HJLWeWTJM>=V5LrEYGLgE_tGg~{B}g`VJR4IkC3<Z8w8e2_~jm<(z*h5g-S>f
z`XE#jHiy~p?2s<BKiDD21wSKO>sH`%fC;t=?g$d-(WKB{;m6^o!cCzL_R%)d7ikh+
zB_4t&TM4YfQ^X{)3ReETV2Ob31Pak-aPA8rHJ9SPBd@YIYh<6`UG@)*xHS3^X4wvU
zB|RH`*nzHtz4X6Z>I>|O$8iEaiv95wY7qs{qwBE>7ht-<oBxdQ!hKc-X|@g6%4|XK
zYJV`N@fy|`y?O%Um!i*Nmb%FmWO4LoQ{o9+y`Z|O3vuo#DG!mhz`v>&x`&U3^kB_e
zgU14c0~L`?L<Fcn$w0Tju0Sv_DwrG`7|IUK3r7lvgcf49xLIm}cdr}D9JMvx&@)i`
z+Dnb2YcLKl5Q=kaxD2i!UxCjDe#2cZ0qwnw>_{1-wjCp*#ykcmI|(PfW4Miv#9Lh>
zss>)r%c7D{3+MfKoYpVmEKv`u?K`?S=Jp9DlPS&ifc9V~-qdg4>j=An9n4lkKH_nV
z501Hr^Hi8xgL>yRoTzt!D%uO{>@Q@NcaxV&XT=nuq%bUeG9(8_1e4&>@%wlBJNpay
z8NbP2$=}a^-d`-RH&8kFG&nNEhtG%mBkkz9xCE`_aNpjpPSiSpXJw^4)LZB<#<0b>
z%Ul(HF`o#E%~y~=79k7vCpQel*gougIOX4BKMbPE*_kRx<zjD7#0lmU&TDtDcBPUE
zG(C-RVqJo2QV5ll|6Wq!FdrqRJ6w`(wlvZo`*H)};Hw7z&NDa*3$a(Qx;ao;i>41#
z)$w*wA8e?i#3Cez6;TH(+n`$dDLRp~7a6V#63oFs9%$`veWQKFe4^LyHToL*w)uGf
z3V&fJ1=|KQg3I9Qx)&ZRlo5Z5`=t5uXr-sx4f^|W<TPp#y_#9Zj^Jv8kuU~6Jr!PM
zACjjB=v>G>e$Un9*0N5lw6`!u@1ega>MANMZOI}e1KwjAkq#d_*mGoSR1NQtX7uq}
zsxJ20@)!Xz>_2QC+ZhUrWTa$P0Dqw%uX6Xe30w?!frY|~X@K4=ORuK<I7OcZHK7Hx
zKCcu)DKEE?`idiwpfxTuJ-9k>0wm(1zGX=1T!-w-9!MSg=;@9G)GNNF{=R`aK@R)M
zqHrA{SJ(<awkVyIr+`P+1k{EuU}zksKQSa%fRE7qMv`_wUmrB=5{9?>c>O({PS=u8
z;C8YPF<RTuM{s7@2fsreNTBOLza58D;T(AM4-gO0&Vt}aZX?~G0p7-1_MGm8^?5Yw
zXD4t!xCZ=s{yCq=2l!0>HlM&3=Ff6fkW0w1W0*vokvbwN^B&ltrL`XF6lH^a88yo<
z!mn^<$Qks2wOr2M#y85l-{W@w<^JN@ixl7#S68>mljh0x27LKJW$GWA5FRaz5WAqF
z;FOOlBfx8Pf#UX@{6<OO3k~5m@F$>Xoop~ceY6d^ezl;@m-Geng>-gaVl$bqw1cu!
zeaJhwyNGxV*^HOZr8tY722&uYl}BaiBJSj)kZKf<Q`~yGJ`^MS(SHGM1#i$z)jiX3
z`tte;db>VJw+<Yf9X!MLL>oUbJX4--PIZC1x3AU}l+Su{X(?J%!#SZ>!Ha?I{?)z}
z$N}Bse&CYxI_F(+_I0*(E_d2N@c-hndnS5+`vySY5+6P$IK>KbbET$g1?6@((G|=m
zBdrHnstGrZzpDG8&oVqUj)$+2M}ERKlWHu2)UF4*;k=VgV4~^QSoa>|Hh%zhnh2H0
zPF5fF<5SQf^uejK2HIB-chc54m2ac_Fcp#BlLNZSa$OVs7yX}xBZgFiXvhO6eYU}D
zn67`Q3-b|tKB#aljD*|f6XK{gA1_#?<$!n%yTxQAhn7Ju*k|uS&kT2aSKYiy&bZtO
zIUlk&XP-rab{-P6|IX7~*FBqjGXjG`(ZVgUm7J)kDnS3J+})yP(S4aFY$L8EKLV+4
zuMAFOy6K|1sb!sIJ#xts&1t6F#!&|3H}O;0i+Jl<LBwgL)K1DNxwBkKu899#A*aag
zux<@fB^8P?@L_)={r5iJFMqKtUscyrKhZGJ*w~b6>TF(PK4xBrJfly@D_mwgWH_YX
zpc}#0;TZNKM*b+W81Y2yg-nT_P_FzL`WWcx&-NxDP5w~cf7;-r>|6)s=$-X0^GRlb
ztnXQ(V@ggJXE)b&Pm-@ruv@sF*id%iT{e>_h1VyR`3#~~e<XR9&=mqbrjK!v=^yhD
z3vKNQPhSD+8p{duKc*7Kjrw=U_p8Z_qV9pNszbH39nKx2K~L(6+C!pL237r<s4i|*
z$7o%N4&+e0T>fIpa!dIvT?>$K?wY<K$!f6mx3!?H5VAJLTfbQBmLlc|(-*@QeI4B+
z?l1No-I+Q<FwkpEk#-7KL+Jq>JY5@+7hc=BAScyPBkM)R()0~!&r<uQ4o;=g+NS4b
zbaA+Ia`Pg*4ZxXeD}DZtK}GJQDYgO^gOzfwu9W_oeuAOCG0LPfYi82=(Avc|*4Dtb
zz&g%iH^&?Q(I@cJ*@^TL65|eO)K~Df)&qA^ub{zAKM3cf2-J}{yjRRumaBKQO5{Ci
z33N#Dy3U3!rh=A7a8>>h5goZa@_gjn$b#^6t+Q{nt+ggt>YMGR=Z0x|t8OOuoXMuL
ziRbESxw+^JZ3(pSv7U^)*SX)bbFyk>PEPlwo=n;C`+BlI`5C+eJ$@HX{hCfW9_F5P
z|Lac)Z<9mX6RIZinQrJDNGs}XT#pQ}Bx6<RK}(yH%@-}ltYd8eZ`-%ohFSkLUoy7R
zU+2Q~6q3~fa!tu0_;G8A!;c(L9RGWV>L}d+4`#ajRsLHsfwDi6h^9hxac%@$UUqXk
zYa6>SqF$6OdO`Hk=(y-zQC}k+(Cgalm2Cs9!!0Y!32^i8*Wcm~urwV{Bq%$?OQCFk
zfA|RZJ16C=b$rPzl(9F>lXB{J_vB{3qLT*wZ1A&SlJx6E%I}QHIRo5#0{g_Z+HRWU
zpXm1)Rnv8|-trM6ewOJSk}nG*K{mzs9H|?_EjgCAmVB1Irr8D;Z)Pc~h&Bugkv3sh
zaD1?H@P6=M=yABFxI+3aJCr+W1<;VcfvfPCNFX;*BAv)S;{|<dFvw=vIwIR;A3RD?
z(QBhFMDB{1VUM%bv39lW01N5_a?Q3I9~l<wllW6?5xOSfmJ@}&!S}w_o~o`D&Iq`Q
z7C92K{(v*0PTH!JiodV^x}H=fDKTkTvM2R=)~dW_fe+FxvL)ZfIL>m%`omh^y4_sV
z6mOvPC-~P~Q?4u2iw7|m4(Qt=;o-b~tWL+ZrB&^goP?C?(ZQbqHE=js66veQq~VHL
z167>tjLJ(8rx6QovX|(6OgpZ%u7P2cX@RA_ZHv8A#G#1h5v!04^~JiwvdcWvbjX;8
zv|Xd&mwuDJnf@B6bq0PLdzPL_651ksYM(;y17`nC?@xHU^W06{eO$Rtf6fL+ROYI*
zf+-!77ykPCYsl|TX=5CxU34f;t;!NctF^LypM96DrlpGU2Y;LmLP_JH7UQJrU~02*
zTnq3P^0Ob1)OJh@%L~K;;i|#Cflq;cp~-?<+M;eJs#8&@K`5y8W`XTof+|bjW2SLe
zbdq6+`H*#zor2@`aO8`KT6WsH*yPja@|$tK`pULM3ifNh43b4VLK9wyDMY>2jw#DQ
zzpEYg2P?p<el8#f1_mz%cOoIk5P0i5<tgmmn0Mb<)9KIc;$-sP<yiqSKkWY;>LZoY
z6lym+oiB;>^lu!?o`h<zH|{L^>F3CXF2WsPmoZDIQp8pz0lp!dkQR;?`ilmsi+n;U
zrZvL5Mu=RC*V99&RkuOS1aBBjJ?^LOqw%%nw*777m#EuO_akNdR%?E<YN)Nh#Gm2n
zgMP7<eZv@-G^#w=N$al6ld1_7LSF)l{JVTVyxHCkz8Ah_@Flel{tb6UV&KnUu~3{)
zT)wWxkzG+c%_0V?5t1_)<(uNZ>RRb;=nDrwix1QT<SgbRRKF`g#a#{!P#9G3zrX?i
zo0v&vQsWsDcuSAyVpKW8sveT}qe@&De5_b7cpEVt*jH>7R)!v|H~AkeX&hmu{$>X7
z8w`vkV4EH3j9L*bM|F#|*gIIZ8gt>WugSJ%_M=MJl@f@zsvuPq-Ua4+%`RQ;4M%~j
zeVMN_Uu4~LSaK3`+Bsugjl6q<CnYEOkiTJCVOtt;F=DE1y@}AZr|+meBwu(8QiwYR
zg<#`QYN$?lXt+<faQIc|U?>B((@jEs$*r^_&oUw(XV_wVVf<m}rH|+TV0VJ@6T-di
zD|L|Wf%{Z3mS#ILJLv=}9+bxh8i8s{fEYv%;GXJ(rW4kG?R;dn$SV=6?UXIT(#Q1K
z&>p^qL+n^OA2|@Zir3*=f$iSxyoNcuGux&$`u!uR{?DpE*Zyn^*Vdr4wvGj^&!IMC
zBV%^ts{%riykc#O7Ap8A>ZF<GFOx>Kj{I3PK;d>33F_1Q?>skL3C;_-UvfL<74-D=
z?+^D^)>BV-#uR1UY&&3^YQ1hA1E*><{|(%{yX-WsI8NCoxhHHqQyG-X;zXkARs70k
zHAQ<w`sh*IC!K6aG#xN|%s<S(%`ukpmI{_L=Ah{oJlvIaF19FbBks#ngvj7n@0h%c
zj+*J`lH2^`zV-dG=kw+-*<a=F{eF!}`y=;Bpc%E!QnmnDvUs^m<qc(96rZ2}oUOJ#
zfj*=4R2aFhxHdc{FvUB})jzj+cAKniSq~g$XA#e%;2OCE-CqCEQYW%_biwF~k%Mg`
z&ASZikn1^!M@kG*(ivSoE{>t8KZ&bqsuHh&R;<><Id>d#Ntd!AZiB7_ybA}64~-)D
z8kI~XOg7UCq*~uHB<M@?H|RE6wDbxiyM$|P&b+J!=`&NDziK3%{89Y-l`qA<eEX97
z^IQ5lPd@Flsbjvg#Z$|4Dc7^~@glLY%dK&SA>11JGf`5VB^pA6Z@tT#J288XW2<9E
z&b+)VPhNnQ&Jzv!ZRVtiTQRNjEr^{J-7ccGHP5Km&*gV=LpTx1*`;VB$!P&(dDnw$
zp`cnqTSZKU?$6F`=aWHaQ1wpSJXY#n;6BuYUxv))Bj7T3XD88mvZop)eTRoO;3?>u
zox47JzvD~RjLg<)FOr=<iJ$j=iRtTHWrQ76o{@~~ov&blBKgP1RE{WQ-E1mvc*t|i
zTJ5;>G&Cmg#@o<6HZRt>+gaB2+S56ZAWTpPFt-dJty3c}MtzIYM;(c1Yj;_{m{%EV
z>V5Dh{O1#IrHxb?$!~BIt_a0MVQmAEOqD|ZQ6Jqi{dagNVhpd5Vs7Gs%r53%<_(jd
znFW&819G`mMs68?=)dOa=9-O^(0)1h9Mdy@rEkgzW<@)ncrFKZ(mti7)|?2DWtdkW
zGZwJ4ve%6?N0hRr8!oX|iE;9SaP44AUl-3kR|nVMu7&OuUPpiwzp0(**8Bv+1T$s(
zCt^(0!sunujia{NFIf&4XX?!CRjMu7j0k{?G+Zt(trShtTDg$cj%v-`;-Bh!fqOF4
zc--(w-%-C<x0&C{HDKS;6{$?T5v8a*m3PuU!5OUY|KVnwwX;`d#-ttm)%!=4pU-}O
z${OdLB`v2<=#Cqon5$dMz<G1s>^JYVys$L2JU3R?Rb={URirMVV?L|<U~WZZMV82U
z>}=q98#pSpC!@H*h9Z_kdwkUM=!0-$XGMLtr<wN}rt+WZ0C5_%;hM<V*p8%>UQiPa
z$2!@C+sY5p*)cL=;8?lD|KjekE1{iTK!u1KsP}e);^-)J@2lxQNSCrtsOo>`oRV20
zrTUN1NB6r8AFg~Glm@Gz@QsY;cN@D{+e8pigQ7M^SBz;DOUI6ij*IAIp2uG&?@2>~
zTiyPglQ<tP%N*nwlY78@BjA<tQC8h8Q*qnl2yayFm?|;m=+cpOt-lSO`TWcSVw7UV
zY40-pY<s1R%5b72U6}hrA7$!l{=@to>C>#Svwl8*31helxfIOC2TGjM3^&yG$WT9t
z7xm9Xac#ex5?<z;<ctTXCG^(#a`v14-v(t&^j%h-vHc9UOwFuY?Me355p3j(=)tjP
zW9mhHw{0}7;&aJ+a-~pV&w!k+SzK0)Y-?T-UzV_f_`uo?8Rj$g=%|?J7cqIUePjDX
zm9lj<<}h{D=ixX0y1wnc#6X?!BJqg4Sp7tdVSKtl=EXK!gx|i%HrKpW|CQ}Y;Vve-
zP~R+$4Drq3Y+;=AM6Rbkh4RZpY*XHc(_AakV!zM$LMN@tviUAb_tB!=S{1zRHo!fn
zJ@b?wZki1W&RV1$j<KFJ)zEY7Il?F11@)zizY3}onW1#auEmip=+$h9zhX!>@3B9M
zN{y)zdoJ1-AsMHzb%@#Wb)g>itmENX$U3?$6qLWH|BxD;f%UF3-xXBbBb<&MNvq@<
z!lSlS27qqWA=oi+GtenCMR+H?2=;K5$vl^~HcRJSDEX;a{Zhkb{Tr?x<0YG`&80!&
zT#%@LgK>ISI<AZ$2-JQnL-*T(>`NVI&Day3m=nx%O!sxM%n2<KZqrL*hE!YYNMGhF
z8S7deTK|M=I7a`9@5<RwpMol%?1HS3;>bbH!fRwH&5t+!8R`Lz#y#d=W({fvk60bm
zQMntg9ysC6?{+#jIgX?h`8n+S{N%lkW!`d9U!*kH;qDw}x^KM(uVojz-9FT^!$5IG
zNV~i-SjSV$*&ydfPD0)}-~Di&{D4Si=IeV|mPR&+4a9bijf#00dBoPx^ph(<?vo3G
zcWMX^7y3$e)knl54biF_p?jozjY`E_{t##5da_Lzj;=&LgEnvo6bm-RhFNu=+KIQl
z9(0Jb5L4ta!Q>o6viI}zPoD2_X|XvUJVgUt!h+aJEl0g!-|NPkBkUWZc0`Awk|Jl=
zKNxS)cZ3PvXU-eBJ@R^ZT)t6(dLczTsm)}X>;E;6wl9h#qxZ)U`L5=h8QVJQy5%#!
zpO`LQ2|f#a4nid?6;gW>L#UgKlbfc?)0Kfsu^M-mea>v9>rgv!CW=!A%4t$fDOGGD
z4T5rS1+ttrN?*KrS(ATHN<N&*Wmj>h2ZF+Bd73(qC=PX2D{3g+7<CONdk$5TSMbp-
zAd9N4q$<M1a64hPG*0bGd>}SaHQ3|aRrWbM8h6<nybgQn4pW*b%Iq>VHs#ZQL>5*K
zJB$09E5j||uCo%o4|@0|#1?fT@~RhTSHZ6Qh&SlJRbIXhO=V-{jV4eY_Bl72X{<i-
zz00`!ZNvM~AD<<C&!&P?l}hwqToN4d2TZ#xACQyhG95HN*BxPZQl&IC>~^O(TBq+y
zzneYTTUokEO$H}zx4EA6j%~g@Dq^<%ywz*!Y`DaqWrNf!H7MwV1N?IWr-b{&BR<aD
z%6>GmRMg&x`QQU|GIrrj^l5E@5|XOnb9*n^g$qH=Kgr)N5Ff6fyeC~yb=Q!RoZpkb
zd|mcE^><Qss;6M6zqnd%O1RhqhDw%9YpT6KWVwh0ThP4LATs5Y_5O0s+{`5z&9de=
zNBf_O#k4PUP5mHq8*6*}vPgeanP^AUjmWpQHKu-iacY2aL0BJZjr8dPVjG#!tZ>|n
z<~QjNqq=m?@Eok;0=h4J2n4WLwmSV%D=zO89)y2|UxVC!KUBhXDs|6~n4i;A|IF^3
zSJ0c~ZQ+gdbq>~-T4|-Je%xhaOS>bwd_Fbb_~-@Z6--&RpV%_IJ(M1t?_cWv>1>l1
z;~5-WDHo<LbMN#cO!KUJA|6KjVjNLr?4wMRbdA|1aCnWSWxS?*qRX&XS%!^ddeXfp
zhD168xfCjkqj+zzQwN9=P>htNuG8JvY_=+y8r+>zExr2hhQAV%=OMN_F(=1;#cu-V
zcTlihxS_m>yvnB-=UeyN``hnXUz^71pfyt$iLJub!u^D4!q@QHP@mwi;IQyQc`w<A
zzhDYm^^wz}7sU*UeiCuVGEiTeX-<}bx?vP~m}*Chcz+L3o#?lej(m@dq(am_c8LCi
z@h7~|6ZnbT0qz={viWpz)aBsC?7vcDQxcLBeulo+OxlvFWH!yq^)C?a$rH)u+<5&+
zeQQv?+y<v%na<885R2qHLT;#TAltjhJJbIvR8M}PeJ7_wEx3`EnaliVP@Nr?EK80#
z*W@%ZMnS(*w~CYSzT{@lbG^Bv>~6L>xXbtO%F%|Y%J|^~SwxqkCKBC{Ue=tN#FF}Z
zhR1w!ZM?rtUZk^J?wsrbj`EHonOSL#GpglO$(!wF0{tXedrX(+OBs)uTUjcbGxgm#
zANf&f52{s5p=W56-{wp9jSC(^{l1})AzqaW5eK;zme|Ol(UoF0M$d>$vlRs$tA}l}
zC1{M+N3wf~;n3H6k)c7!?bQ6#J235k@@@HX>~^LiU(fW9wTI=j-bx(~&v(b?I&!@@
zxtveC@q0~b-K?^C4Sb)2Yr~tuql70)1k+cy2wxTXSo(~5Nj?juMK*Lm*Tp>Hm-t0K
z2HNHfIRZ7_G00@Rr;S2QWGR0fwZ1|6YQ_l50NaX)E>Q{54WbuE?zR)wONK#g8FHjL
zOIi$lawlbpRucODf^0dih;F7qFg7zSHw@!e63>M%-UWHxoPX!UWiY>^l5eJL&y=0T
z{JW6$kgj|u^3jd)UU8jw8CDn@=w~pEl;eSP_eNJqcLPrqUy(rn;Pg;Y_zrp!75?)j
za_x2F^*xM&X^bh$@CI450}PFfv(1UtHMSIMUCSO*9%?f+b<?>i3<>SVB<39Z9od9G
zp~3!5#qxg|YndyWSX~(+CRp9w*>&0(mHjq7e_G|VyXh;l4&>HwYn~GRslotaHalMT
z+*s8dYaqE5^mU{ya#|a?k#H+e)??1?o1F==eT&@t?xx}6>QZ{PZkj2@Jk<P$<%3O)
z7=h|h+30$a9j$$gtNC5b7kI5GY76-Revdc?%xc3Lb1CZxOOElpK8SpU>81wOHP)rZ
z8gzBxr0YWVY}Cb=j5`_ivY%$Jb=1fn=Pcy5`JW13HJK@(zmL>KA1DQjz+s!BycX97
z$9t!`1MV}Pm+oh-v3O}1?N0Wc71nCS7?Uo+7-<=0eP=C=6U{%iL~AwcCrg~=rm2^~
z%HO9mh<mE29MYQ87x;Xph1Q$)Z6MgxwZ_}Th>OvSV!Op`wcI8}fA8F@nZ?sXzhD1a
z@QX?9nROz!ovXO#r#Iwh1s%~<cgyUvHL@=<ui`e76Se!wQ1M7G(t9R%renHeTK3hP
z#(B}+iGjzVrs7&<0hz>f=O^gvplI&0+_xUHIjkr*88Zym^*wYC`Gat#o<tqgK~-nA
zaIf`0OqrIe7O%OFCDj%ky)^&A!Z`&)5oyebVDY@d*%h+tW+bLAPf7UwBIRyY*xB9v
z(*4or72sju9-Hpl*4qvl2XKw3PHM8qgog%o{x_bJt`5$FIZv{O=4{W6cJ21p78Uga
zRToT!D6srin+%rPmQLnxrgo-u!wY!6r|QOY-{=!ielH|0QJ=Vm#wnHxwmY`+AoG7S
zhppqH3g>@RXi1TT0v79FqHo}yt9DN9%%!OvQZA+3N$Z~3J9|k^@7!&9KYWGd;mmHs
zL-PddbSrNT^Zn^h>NPPvxX^#iTiv}bcSCk`b}`3A#Qj~&+ZT8!w${ed`N5H`U|`LM
zEdN@TS=w8YG4kW}MZu!K!~6#Gd;?LK909*!1JJ6vnk$3Z_rN{^snG4BmgcKps88XP
zg4<%QnWO3H;Rw$%kZ9!0i>XsnKc`tT-eoj(%*dVLZV^}}S7l^FUu%B53l+SL`pxuG
zWowuV#{0IpPUqZql+3D}se(o^CMVgoA<$ZOP~Z8shHb`rrj5qihI~fF*vhyDH-_Ix
zMS{{ptBMrJQe;6Um#eLd)L$|*FlT^dw?Arb^x&x0k-Z~7MW&#Zmp`h1L`Boz)FyFR
z;FD*+%a`lRET3}z*Wk3>*;8FNyx;wcLrW!@Wc0Vqsx{K;FizAxU=C<M!lnF=-BX-Z
zvlFw1WnIWj&3K)alDp6A3AIrErBv=;{RCqRa}Vns>mQa9#%cTlW<K6Rwrd&cJEatS
z2<4G?2UZ!^&hXA$&we;6K40;I7YeM6HAK#}R<(Wv)zlt+Afld`W`>GYy=l469lFfq
zwEJl}8FL*eIVJM0xaaxZQhlbs{+!uj57~N{bM&d4pG=Sn2CBLy<o3#)mu<{Ely)fX
zbNZ(2Tu+7YP<aaRCv$=CY3OSDY<glEZ3IbxceC;Ie8Q%lkX8t_kp%QoX+^$e?(oeF
z_08w4jU#?Vb%=Gv9*rFsvn#TVEz-KeI><WJ^3d|kypSIzAMm`)-JE^FF*v(n&g|@+
zjw!iiedogk<)dmgwTd5LjI(sNb+Ouw=NV0P3)}s1uI||jGy7+p%6OXDBKw%LlB<zx
zqPLCkgGA(u>ALB%Ax`Jx9NZb4V|G!iwYTyl<e6E8MPjskAGtKyObvY<a~oTCyTdL<
zY>nz3y)U|2)NtDu<4}D8LzHQgrE$cd2)*&VRzLL1_sv_^*U+2fdg~nGdgFT$92ROA
zS{4?hCB$`ZohjX1);N_<WmXcRI4Zc^x7$4`Z-{f7v%fPjr;#Hy>vL{j-#<bdWUHk>
z%d?E}qK26QP00pkDt(b0pe<BpAXD~(v|FB_rVs<^k(}Oe4t21%=5Lnjw!iFaBa%=}
zw3;M72{egHx|7D6)>08V^L)Ale5472OL_*^Oj<bPAMNYoKO1ZWe$^;xwbq6n%oWfj
zaZ{;m^*Sg@k3${62QL;}>8s``<%)6^axQe4eGdPhp;6LOVjwvZ>0kSh2brj%B24Ze
ztDp{hS=k7mi=^Uihqu75Y#6tqF}f~DAa1W;YdC65!y8jaV}kA$dkMZ9J2RDUZu()1
zjOrKF&+?Of1X_C>wSZnv@md+_ZRmAyY-nH5<6jln5n3a}%ZW%t@T%n%y?j7yB-WMM
zLbn^OoRTUD^FvPq>wFV@NrBekui=`48ycPop<6*ixQx6|oegdJUt~GxPgXPUxUzgP
z_BEW!b?9MmAQgw7=K*|X`-wcN95@3lxCXjbSaC+#W=GVqlNKH7iO-D#O_i+^Y)g$l
zsP@Vud4sx>v}2T%mhOi$;2E3~o*kTrwBZRsRrslVQAstw@=ZP?w^nFm%G$NnY7J#H
zbU6jYeWBB+zz=mNxF)(g`9=g<26f>gl0&&i{ENza5v;*Oba!|O)RK=>Yht2O0B?M+
z!&8J+;x(k+^&qY=zjOyo|61L)PWDv$(8!iin<8^<f@!Ay7w2Jav(*e8EiX-zxw^z{
zC0QN`Me|BIT{s+GAygI%hZ6#8eFon{f5Y%1Whz`H<;aS7^LQivC7;o*Lrqj)tts^t
zzJ~e*=6T<__hVPB>2DjH7^)yR#96XI9YKtMiYEfPra@E+nEi9LOk^BSknSL5JQX=`
ze<GVJ0zS=^oT_hVUTYm=J7-;L9cMdf-)JukLf9EYF(l2LFsw11w)C|wFwUnJN)Mqa
zdnPObi+*HiZXnB7)IZ2K$y2~{-`gcLM0RNtpw2nPe1H<l4PE0@x*vA_$I4}?T)3M*
z$u&B+tmB-+mpj}Q<=Nw_8@v;qEEZ98L>nf9>%`~hm-3hSwR~C3gh~{pML;KBL9Gw{
zepPKAQsGkA=7#sCk7iVuY^Q7<TeN+)RYE#UeZxRwOJk;SHBv%W*k7CV+yx|^R|qW)
zJo3NyE_cpzw02y~J&}7oXNmKq#}ckV9y4S_9*da}vpI6QE#BN+KZzU1lpr+WndfL0
z_50rUVc&Lq8<g}cZD!7Pcm80ie1smU<IDr?3!`U5kHBp!(`?gsroXCB#UFuuUKc+3
zRG%~W4)bgcQ(iaNSkiLAnqd3G{>Wa;KGs^>oZpzkmx1r|FJcj8;{P<Aw|$7dng45S
zf9nAHzF_dZaV>Fn&b{ccXKYFBncm28&N;#RP6V;bvLU8+VOz1ZqSFc;ie72%&OTL>
z!^3^eb8n{gOse@c@1yfm%#T}Xf9LHAEmGUl{dLtXJ)?f)%go;>_DAFjTe9gs_gY;Y
zeC&#I5>6^F!F9ni-v2aYmMvs6uBvgKrI!sRMti1pHcs(Lyg;8NgGlY%MmDC4u*29F
z^afN}&d}xc(`@x(*5_Lgv)eL&?i(uXIu5qbiritj=W~YSu5%smZ<7wvXAKt1B72G0
zmIV(LT$wL_#Abe-w8QsL-c*Mt{Yh%86y<l_G@WB+-e~_QaX&GUZ({j?wb>Kd(LT_!
z)>uX7p$loebSPNHcgypaw~lwFdywn3cX-&V=;*urc72q7mj0q~w#ja+q}#%DC+f>L
zgb3kU_%>3O4uua&4Tx=QO@rHf(e?r_G*#?L<}_V^IR`!BY^o<RQm?AzWKU>!;GX~)
z-YjKn0kSr{D(#qG9F6>!8@f?k7<Yn_td7R(h4eYl!SgupM_zp1&Ah2@t8Z>#obW@P
zPG>WZxQ6;>#=53MAVUw;FJ;@2@p7TiEpJ_S57(r;XL(IL)?jVv7Wg6g$-7hz%jr89
z-hmTuCmU*iDTk#G(BBRYT?pI{OhodEnQX$`Ww*2MnB8n8-BW|dRK&W^b{uE6B&*L@
zox2CuL2G&?bA!7BdQE@47u%H!crC0Nek(48GVXwK4&KAD%1mhHX=F^VCe8G5rU6@(
z?xpeaamfcwb20eY8jH=t-$LcX3!s7BfxYrQZbEg{Y04nQpiTg}|0R({et@@WC{-7#
z@Eycv^|>?^Dd=xPm9aWM234$9@J7HF)MH1wi8|Lqyyo?QhNKWUL}`2nWS5OJzBIiB
z5%QV6OvKQLRS~kiqAkhTguScvQ`dv_QJizrJv5Uz+P}xuCU2E%fp=2yn0Q020yj(+
z`Hj70P|d5Xi|jY->ud!ri}jVM2Eu30j$ETd${gU>;kcT$KXYE@%B+sL+x#<#d-|%@
zEZh7DBC<$?$*x#+=49POdX~CTNcG=#7jQPu4raY|Ow3JiZS@Wd*u#q00{g&lrXQbV
z=xyGB+VM$n!CYK%W&xb`>!7zC1kKz9YC1iEiQ{VOyO@I39g(-A6C*cSx*2?2A#f2E
z!PQU^RH|*_04YW28$9Jb=6T|46JDz+>=u0^;~4V->r7i!`&;XH(_sBA?r*x7dMA|N
zo|mPhOimu3JUOLgrpbB8cU|bL9b<BI38qojp^>*@7w3<SeP{c~*V8J6>-tW+e&#mG
znUSOBc5`LBTY8839ijJ1IcBf^uE}oxYWT^Gr<#BV`4Ya(LSl6gG}cS;sCReJ9;*i8
zEEUN?Q)FCgT4lTgD*7s2C4GPW7Tl)qunXA$H%RwbSDA0kEYgMvbA!)?Et;7vqbq4>
zsz1i~)VD(6;0J%7u&S14mVhr+3U5nu`3unTJl4PAA9F}TAh*hG18;K=r{Da&FlBf~
zs$+_?q$eEMC0^7vvBiumsxXZsUqp?InrmNcQn|;(17WNGiHC9XdG&Lz<ebah?)u_;
z8k#SyQ16j?wiGDOv~h=C<ePHmm{#z_cTv|%{;)H&BdiJ+ML{f&w1$~VJK{cFjavfE
z;(e|jznkx&D}%&0NjFxf*HwoGVVmKD(QVpm+O0o~_oT1dWo4<HCNEQufVe2*efzPt
z3{;uLZ~(SbzfnKg;ix6&=cnr3x<7RLxvlgNZ6;hg4#DT&>DrXNAtO7jX=X%DqN_+?
zz4%De=t;VVrir$xAVIpLKSu4bA2EsSDD8?c$sgyQ;9QY&DEn6SyPSc!9i0wWF@IWk
zu2Pq5#?0W(>AvCps-dB$ZU%dSs!Fh0b+xZjRC$CEbR?V&+RY<rlcH)!HemGJ8_v$(
zhkCCR_myi7wdVrtiG}!H&@A%Evnb0J26t|-`G$qF>@%M<CFv)!v!P{mfL2(P=h-B!
zg>ct9-KozR>@@hY!>U|Y+eNlvUa_ro^$eT9uI<JDNAoJcO;sBPi{@o#uFZ5gZs)#o
z-Sc(}E)yClOUMOGK7N^goGHJxs?BCyXgt79&>jh@zoRE7udcIUPNHMGgTUV(@2>2(
z2`kmF^mSby^FV7yYoeJlEi|+?7>&2}z1aOkCwXbOUSOfm;(Owa^(FW(1ZxSGr3I>y
zTEYI(y*1h`yQ~iDE9+P5M%x>#cDd%^#ud76>~Th5Cb6BNUaZ0d@EU%GSg-9w5>O_Y
zk6p!wxm>0=^-R%)w!2Q|Y{|>#r^LDP5%nroq?f2?x8xh>8u2VL0vF@eEl8G?vb{}n
zomuhOP4f17^7*}i4WX4netEWLq<^qY^{0&)rYoj9ctsMJV?=A^KLy(PkT>|=AM{jq
zKX#Syq<gys0%1w=C_l8n=%r93PUl-9J28bF1BK#Swj%vb8>PIG>Wk%}vG^VS5^f_H
zr04Q&Bucg=3Q;AX01fc<^t}yPNNrhUOffVyRM%(nLGA;a#lB(Zf*~g(DXa(5EayQX
za*(IEcND9Ak$Y*y=|iBMTvIoNpLurX8nbWbEb`nE_G%2>n~yOhAd?{4RN1`2wBGcm
zrLlPr@6v9CdwJ7yhG*S$?9CbCZ0`E*d5n95EmT)}uCdH99cvzJ9c%4ki8I~Rtzm|f
zCanhOyomx6E*@Cv-QgYt<!4J&CijMJikkdU)xn|u49bw>Y;~?5_n9lpE&qS!%n3D7
zJ}veW=7){pB4M4dQ3whL@N$!;n2C6579+ED`E|N``le6@?L?;X61F+BmflIN0mWcE
zDy>;~2^vRpOaZnNzr?W3e9Jo1YPF0pZq`L|M?qssV_)+-`5gK*aZ~!>ui)(Jc$jn5
zcScGhu8{wE?ve;6{azPstZ!JO>k6i2E&U3XBDxFLJ%564ILgcTO8MJEwPS~_d=V5#
zl01%>!%XC->312D^k2CSbOEdqJJhX;Ro)=d;fjInzIR@%w%#GW>w(oFzc5^8pmVjs
z2~vOx!hhWby8oK=1nMxkoG>Hdkrw|H3X0{Veef&35W9(6;Xha{S67=6eW_&n5nGkt
z&kx`ab7p9KAF#1pJ<g9TpA2?0JC(hLT5dd&AT0W5!+xXB^x8bs@~?Tkc`*2j3Htt6
z3G=ZlxtTbPMAA{}tY9VQ^32Ye-*W~3Uhyk@lKtej$Yie1+|zB)N9$es<K{d|Y10QD
zH#=dSFTz_VuqANCzsDzdZn>uCwRg|*v4I0vb4O^~D4vy&AGnoW#H@toWEZ;zuTy5S
zoHAJ`7P=Am;a}-r2eNPzD0j-@cD4ZOy8hA?`LbGpD$3e99hbz;0gtUc8^a_aZ+9Hh
za?c=55*}6YUU(aF7N&>ai^G(n#0%;((}6p}x76P?EH+*<UNoLWn&VW^BfIgV*+1cZ
z+7G?G1uFiH{AgXY{+i*qDb|u;>0mx?e4`^d1zx8S%sA#NRe<;*e-Cxf>z`gE#SCp)
zM_0a}LntN=1bb>M`$>Nl>X<?H?hzj%Jodeou{^Cc3@z{$aCdRtckgol<y!7sl>5-R
z+qKd=Hq=qRM;75^{bAE3(<Wmd!$I8%J_D<5e(pT|h6u=Sg|<j<ed>?*kM}nWtO-^|
z#$OGo0<xRTNUAzbB{Dm?*+|oh;dX#PH-|2PyVW~*=W3~ClqpDC`bWx#6J9LHfi2X{
zT8fsg^@b9BEw!AU!bGw|*rV)6_AF+37H8#(uuqxmjE=3yer68SW2j-M+hrpe?X)%>
ze%Zf?qwqY`BO~!=X=I<)<IC#f4K~Aa{Y2eBq<Ka2>!9?0P7Rm)25#owPk)}WGkvtP
zsc(I-La3B*Sc=p((S`I+%(Oi%az;$kd=>L`iF#pv#y(OfAseM?m<TNc!8(6lW=@sd
zh0c&`iEkcWBM4Avui{Pawc&t)F=iXh=5({iRKwt7hmf_DhC=6HjxXf#xFb9+&m8X<
z-$DPsfsvv5VpFv$mB7ByO~#*VYUl#x!*E?OUdJ6}ev?<!j`AtN8|n#XOXJ`rBo1B?
zV&q@yNNBrCQ$wlG^k?=VUk*gu4ItVsqb8Fxh;3RUwVhH-PLyKgc=-X+vR}!PvP$a=
zjqw=x1_^kk?$MPoiqhdgTLa(J0cr|-M}IJ_K<4w&!`b@$c6bRE@NQ1vzU#Ug8=C(y
z=SK!jOZKI@JK%S2%^Bk^5Kflk!1!D&O$(Vq6{OC@J1UzQp=)aVYO-6ZnQrr?h__+`
zxQl9ozIRY6AKu_|yBW9Ws_vQYn;1MRG*NPip7=gm!41Z-@!SXKoZdkFzDO6#)uKOY
z?ZE3BAvVJs)b_AHM1|S~s|UvhD~HyDopn^ZLB`PykdM`yJ<S$^v!gke$nF7?Y%?)H
zT@L2d>u_#pQRr%@Yv_2WaQI4iqp(CgE9<mjL>~E+3ed;d63Fl!&7NYsaBR<^1hB;J
z5U-K8wo`qeDr!D$sFn;SRt>T)RSmAYZTQUEFn!qF*pYPl=lV{D0iczBGE_F~&=dL;
zT|A$~mScKQ&Bz60B%Os9DUB_{j8W%#2V~`>#AiIp`xd+;l~;Ewqr`FWJ%p7+;u*6{
zx8Cw^ge@vHlC_TKwy70`tDyMQgx90DJTiO|YO+D@+O8+=p8hi7Q^;nrvkke$tP7Nn
zX7pG#Q5R?Y2MpGC{9PuSXrP#+`ND*7IP?+8&kI6lgZBc@{2Tp00>8rp<b2v-+}heR
zF6LkM6gQr~%3p!sA&)K0RHtO^4Dxpxh+~DF_|u1x_i{ZnBD`5Bh!l=^HKZ*dKT#WK
zH(isN2sc75y&W3y32arSJ!K%OtA&+|@@csW$Tnv|3aO`_S53$xG^1AbH{F9>&qY8N
zQ;D0xW<h~8g(=Rg0kvW}^m{|d{lt6lvpzzzbeenyR?sbG9Xo}K;`j1ZbUC`c`dDKb
zQ=Yk|xufo_+QC!R@hr20>t&#Cu#11F?~JEp-W*q&uPgY|xT8^Tblc4n?M3YQ&HK4~
z^eZ+&*BF|?IKybpPM(pk;Y}yM@0X{8H`BK~_)@qDU+zo1;La3|OMA4wOaonaP-vGL
zW<sHToNLNPFo~dar6BRLfqG6l7QP<1>YL@e<6j-@7``TWkRLHzajS{MR^;uL;ui2d
zbq}CgD6hN2HD<5TML-%$MNe0d?}>>*QDH<l7-GYVkZw>&+$Aki_JhzzfNN=h`f?JO
zvBmjSP|jM}XeL0FBzu5ORYqJ1f8rD2i71IZrC!KglO+e(-Osf)xM@8^3gSyR1UJ!D
zscPg#kOD}g6Ms=JDf8u3phEp4&J$fA+pBU(IKt;6Gdmi*h?`_3dMtFhm)H+*_!Q(y
zBXxQaH<7yo_Gx$hXY3)(EN85jtdGs*`3$L;|CjecXoHw7t;L(6Ega+1`^NiU2cl8m
z9ZED|ygG+*vN3^=q(wODTT(;W$MDibuyx3eN}5m(DMkMT@(1^XJ_ya_A>cC9mmT64
zafW<Z8$+*wrm+LmbcOi)Sif)4zo;fi9J>3zqRs=piemfYd+$vTNeH0@5C|P9q7PI+
z-a|knRK<eNf}#laf`W*Jhk(x~D1QOPf<6UNnxKGmQ6NAPLJutgsUacsl91foyZitC
zX2>)9xi@=vr<^%+=A7T0nLP`?ANCrBKMdYh_DyMO>AuqY$~KhmAR_UXM8pb))7ix{
z%6}x#C$cY*Kktpoj9e5E8+g{&&3VQ9&28fj4c{6{t9YMS*U`b$;7UA+%R||`F?<Md
zU*dQM{&QBzTLtC?J`5c4^K`zmm>ofXgdVN<D%dADAlNJzPrkar-oXXIk1Mu^YPp@g
zZoGeL56>fSGS9<rV87`l;&r^}|I=5(6VYkj26qO}Xn*4FblVd#r@;G+XS7f8#?!%p
zVG%7O13X*T53gKi^tPBKvA@LiWhLcgl_m+Z6W&U=5Fd!VSTX*}^h;ZbCH+%bu<W<8
zA4`6?Joj>klJ832E4#O%j@Ks8Ir?baf%x>;jL2JgTCETM#yevIG09O624*^|!!K0i
z@;u8So>xua9TQ!`=~&Spkd@R>H@D2WDewi)!5!tDejo4_#Q2Ejfr0))Um?%B)$mR9
zUSqv_KF=}FF7uVIDj&)-W_J_CCOh;^c(VJkH_e&so9+K4(4VI?lOsL|EGLd`58C{O
zvw}#4<vcTdAF&wT<?UxngBOEu5}&_5Z*|+ivjab%F<TIGV4lA(F+R$97IZFA0=oP5
zd%fMKdH?EyFz+e}{lR-3y9M)k6YXor_0Z6LJO%y(v4MVaWAL<h<awC&zQ6Mn-6~&i
z`sqF5e!Rq!%L90xt}1Z_CVMB{7kH=QR(GTqPdunb#Bw<0yPXIJui``XN1lw#h<Y_T
zK4xA_I&TT>fjt_Wcrs~jQoAbCBR&jHz1sL{o3bVqhk|E<bIJ=!_g-#xxlu_R&;Rxb
z-s|QE#z*&#`ylRM)boLS-y#39$XjDdV%x;|Vg^Ol^mp{;guVzqUhb4{EdP<WuK2NQ
z3Bk|GnwH&;M#*!l`o<DJEr)k1K95X4Lv)0P*&CkC{`kRxpMAr;24Uim@W#ZJM49Ov
zdYt%3wL(rPKtz^6_*T}dx)5(`I&pD2V8?gy+|ya7Cb7#J`t~`Eoi5%0_vLUV@gAbW
zPY@d;!tG8RuvYHvJS&yMlTrbmypAC{*&V*xz8ys9dYLEMALV_SdF%#XNc@|%L=72A
zgra`Dz3W|```%8RfrerBQ--JTyl;%N!F!db@VD@$*-b=cYwDcj8MDW{KCJWo;b!vO
z^M2w}B@z$nMlbB<b9OTkST>{OZ|8lsOL#J>FA=K-(i6Y?suJm>R^aDA3fjIXVrS%h
zp8Ls*SrWIq%CyADs`C>U#-&Ge_a1PEx^uk+PCw#=ei!Oce)3wc(#|DqN(Pr6E8ALe
zi<e0M7dzE>>s6-vn$tN@8u?=M$I%O;ZejQLLf?7s6ZaVJS3T^GU={KW_tVhG;5nYe
z|F}G@Vnyg`INR+&{LY8H=e&=+v))%uzVAk4;|HFtZWP$;n?b~!Z_V>_zk40M5yU^5
z7dk*RoWaEZsYXPY`9yvk%=7VG-CObS#d>?ZDNYUFy*xpA*_rC}WhZJL(JfYb+dU!;
z!`~uzoZH1sMF+j(20)<e&;_MD3xA9Anv==%mM7W0wVS6Cmk}-KXYUw&)|=70I@pTm
z!2IEs?7QT>X5nz?HR5C~bmNJO_bIW`pYc8GOJVQe8J;+QiW0gL@ANeyY>XsgN`h0H
z(J;wrNHmq!#FD8)Jd$Fx({Q3CoQjBvS`@uA<_IgK*Q)eMdN;|fvN*cHH_N@?uEk$C
zkSBo_hua3fxi-7xQfc9}4m>|GxU5Zho|nP1GUL5H;ZMVldMo{<tn5z0hq9I(Gj$_+
z1P1Wd!HMiHn(4GhDqr$eheqR%?Gb#nVnJw0IGN}dx#19dryID5#BYi9Zg%GQw(x|<
z*Z$Ypr4;n4JLBO*wC^|e9u}i7bBNmaF_xhVyTw}(Q#p<IRDSCYf|KKr=uX6gIqua*
zhR2}+IupGr+ndF;9lW=(3QxUf(}NRv%3+?j!rKZ}AtExj;Hm#EL^!DCl*9d2PCZf{
zCH__p9G&mIgT&Ti-r9p$ZV&N(=E=zLWS%Pjo7ai=HD^)!7-D5c(!2YK()%ATozz|M
z4W=XYv7SqWk1yTPM3Z{LeaW3ojQ-PZi5nuqR{{G<Qz-9WjGwB!(YX;ZzFZ=;ZXr_4
zXuRYxk-ONH*ExDabZX4>m=|Neh?^6?smkOkZ^peC)!l!Hx0x^GEz+kMcVoh<Djo_p
zDPLBWbL|Q-slN=yg&TMeID?$0yt%}6YU5pYHnS@|k>~I`M9z*VBDT_gUp;i>Ls+<(
zM1#HR^z}xBA0#?tT_UX{vJO6-$VeT-1)()W?V1#-2(1Y3aF_E8OFD0sp2Qk{H6r5_
z@_x|c&P~1te7%T2^dnIPBH-H<?+#~_^E%O7&J&UL0DFgOvEo-AP9cKtD@gk5Zhw04
z1o4Et@I6FLI}8`P5_6$HQD3@yZ_=K6yxBUJh_+G4aUJ4MwBZ@|8_-Y5$iNZrE^oa1
zPIzPJ>2Ma2Bc{8D!e!80CsfKCd9LA?9})gKTtrl+dhVL=KZpwGht~nL;$?JxZ^poQ
zqG{YgoYfzQ1=x*fl@;)ND^`9F5uKlkh>Yw>gn~?-Xx>RA*bFekjHuetpG7Z?c`LSQ
z?EBFbf$_dr;_~z+M%+z2mp;UK(9Iww)W;PQgTCNE-kCc$6b=t{tGmw=v3CiP1Ktg_
zbys=woCG-Dkv8S=27tD_FMOcyBmd06jS&}#+;);xpckDNpl}~_db~0G6P}Q+=XG%J
zMR)%c3K3x;JA9OuwIwoFPvYox3r!}1&n(^@yBD8HXVO*>Bd<D9_)?vPyoLNeY+#&k
z5pm68k;{GPf;Qm2JCV|_yqezUyumz@NUp7jb1~8Vn8>Un-9D`SwI))+4EK^d0DOJW
zL<c*;vv5JL9g(HxIDa_XiC!~>5t2>Zwxc|2`;&XhT}33fzV0WinHPozg-?gih7ZB>
zfEx}cxar(o?_PG>^8E2Bud#E7lZswCK#4twwQ-y{+I6u!MAAh|PV~+69rq0)hR)bP
z8PDfrMU+Im7g;kZE9$1`?L<}>6nQjaIq!pB!S}?7#b~a7`j7dl`&K&Fpz%w_YaMu&
z?=?Zk7xB*G^+ZtV#me?0?tN(FI__zr#*D?9y&paj?&{8Rvp@nr6IJ+qqTQY*s>3L6
z4N(+ta5_NcjgEt^*+pq3UTySoZRZ40(t3MQyxDplk!L=FV-s07f60BoZ3idMB5|?A
zf9VIlc#`7@qWX*@-rH_QdSk5N%Z!=ti6pfO>CPv1RuxLD=|rR5O1zUC2hlZ4(IZ3A
zEp><`bCLLho8j&h#>?}RH3Ylz1jlHOPu#`a`xEWq=Lz#Z-Z*SYE>8{Az@|Pz+?^@T
z_s%NbF;VFFd`*1ak%YlSt9hF!t80ly7E3IKK17C_>p$Tq`YiVL3b7b^^Y-p75n*C=
zycv-ZI72)&#cMrCjHXq-yI7t257F`VV-*K@kD%f5yb7;{vkwazcIObC@nPO%{FvJl
zF5k?Ku}$Gui8GcGt`!~#$Njv=V}iRB9N<80fAai<{d2t=d2jvScu##UPewe7{I)<U
ztHIx^#3;=~tFIw`+y?kp;WnezH;7g;+gnZ#u{(z+;e#HV@rYM-ieI}aFNZjDfAGo1
z=I%vnXL;*6Kj<C7iU;9#RVT@*g<fy$G;*2|39c);aj^3^7Nv{Rkb6mJ{A$F-tH+to
zx#S(Armu;)H63d)7ykajc=!-aJ%-p+Q_%Peu^$Vt4L@T=R^U1M8QZ;$-Jm64AlEC$
zs`!b*){GwM%FzR@$=+}JW(-zo8eXP#jPuh(87QTXs{2|I$+9~USo`zoM>Mxb`1Ar7
z_2<)*XbZjQgC0apxS#9yaNYrJ$a6=&SfAe)bc%^(wT$RluRBA)x;==tTGxqTOq`>i
zHh`?Bcw@0(FQKmop<mk|UvZwtm@ELDWw^`S1@z%J=zzD;&ciuga$j{vxnq#u3CQ2)
zjFbf&D~NM>0*R}G?(a$@vgfd(--G*#z<{lt`<=09or6SzYlA;zoNpdc%p!<qc)x!n
z(K6N%@9YZEWaH3ue)jra<o8CRGEM;JwkO`^WpMj{Xj>DWFIY^(KIz92M#^VAJ98UR
zCr=^`)1l~Dtb9)*o~Q99dOz<-zZSk6zCtX@FsQZ~`aTT|(TJF;ZIQ$F#4@}S{WAcK
zHjtwqZ%prr<#_~+Fw%XGQ8bge!&0Kg<-?0uuNm<uhVcB~|Iy!nAURjOBvwiLIm4W{
zi4HLv4rkK7^H`-izSh1@^vgZ8^eLk6jVJolcfLg+*c@LzHYLaytLbk@>;LXgCl<{B
zzI%X58xfPd!grLYXS2vN%y%axl{tHzpNUfV8fdsHI3$%-^HWIEe~`2RybY(Aw-oJ%
z_n*4NA^_nu;{Dh0ZVc~|s77SUrnIpi?RyyQFobw@@43@x({e`7Rz}V)cZa*3Pae9&
z0h6@!ZpU^GM8}LqCgw9j_Axpf<UWm-c6RzO9$qJ6*i53Uu68z{>+_vU$Y%{=Wp+ju
zAEvc0@TQEHdB*2mBI&-*F^TAv?-Sc>tZxh!brg4aLp*OlA4#;c2jS6e>}IHg9V&H>
zIa$QT{nnX4gv6dmOhcyzXfzCd$z!ChK`Z>%n?a0<w>VxfvF`4I-lp)N8u%{cmVuf|
zh@W|u-a3zkDre4D%WI50cOjzpz38PEh`=}<dH)SucZimiGq*_u?Y4Eg@#NJrX6(Js
z3}-4W{GP~NzoI2qgA0Cvu3vd$#Tvd>b8U_D8^3-buGrV4`~qY)8JScMrGpdOQDSu{
zj|2ymp@mKp9W|fh2)gJBdNF`jkH+Ro=OpqtJuluu(<ku!L=YW)5-YWzV;>ThcRg3J
zcNvS|L-W*iT4Gz<z@1x(p4J6x-5p;2gI_mOZ+q-gI`;gZjE`X;thb4kI+fVF^PxJ!
z$wuRE<NrpEwOm<2FU|o){M#AnJOvuQ7d&<+w(Tb7Xmz0{h<-SMr!pTax1L$aGTxGq
zffifE{N!ivM{f@HXr1>f*mNeg`z!PLiqSC^Og9W4=c7cIe9jwzEWL{+m}HL0r1}=k
zxDvf1oxF(>H=>KTqm}dMlLGiv=0zamNd)TkK)q?SxE-?B9c<E*e!828O^-tFv&3R~
zn>DL{p)cPxpLak^Z}1s|79D{ueU^0n(RV$;bUkTXI^4O1vYI<hIGXam0i~xoH=y^W
z-J{Wo>a(jz#&LQp4-~Qs$@?8@SEIvMB7-Yw@o&sdchEz*+}(jKISkcju{cHK$)ZK;
zNWB5Qx1A%GzCX?#^<Ol7-3b2na2_Ns=HpQJ7*xIt_uq!@SHVxhcO&@yDzf+#qu>eC
ziYMvOzEIx>UDF?X)PtVCnU=Jtr*5VlHIXIH$k}0}W+xooK+nv_8cxL`jb*fq2LVjv
z`(NG!&L%SkzNYu)(hqa##|5NbWhl;q>dnyqJNj)4)@nE9<w5@`;#plq4+xVqLjF{@
z<m4tKQQxikw1lS(h;(-YM;asQCaiaRlk!GVwFECI8fR<1o51;oq-}&PZNhgNzv?sA
ztJ32R^Q$Wy#ngESnb-uke}(I-;Jx}_ImZepT;r{U%C#K7nqw&zb}>?^&mul6NFi&V
zLm%y=oPG370ey6dc3fnXUE=!+wzv#CTtUlxj6Mf!c#R{-(<KfZ^|%w}zU<^FM#4$H
z&zU?|_+QMSUJa6}jH}o9*z*v%SpYzmA}BLRD&C@i7AP>E0!li>kq=D=;I0se^usP>
zN3<T`e6JZByU<b_Y2^l5v4zyTxp#mRJNO)CTnZHyK$AWv$dzYkETUzX(QIYcTM}XD
zhy~RrGNzOGj^lq-;`G<zQ;j}NKz<@<e}I&6oVm1GQGd@cdpkx=x$rLsx!3?dm!dtt
zMhi~^lg+^TP6Yu?VPt=3j_F+a3heV8cK-*YOW%v>F^z{TM$&rPlgXJ{x{p$&=koZ!
zgWm_?$v$Ll2a?GeJ9uO$wxFC=&!#U&d-3R$yLrRSqu$@q>6eJR`ZlxYv97}oARn<G
zcY8$vt^1E>f5(FnRU)zi=Ob^8Opc5rI-1_8v&Q!xbKOty3w8E)3=H?z_YdXD)80R^
zmaW|Nc&@_XZ{5itgcSE~H;cE>_a{pEC|YoZ+2%7?gZe~beiP&+)b$O%s3HDKcs+;v
zu43`^PNN~LpC@72S`mx87*ED6&HyjTUFRL~=b>-wGJCI0^q1l86JXT>`eB!|gLFT6
zAGp6U|NOwc*Wqm?pqoy_5#NdK+<@-v=CzU_dhZc^Dvk(llfb||@jeZq@1H@R-;UiJ
z&OGEOvb~3ruQBU<4t>9#7_CgW!ALb2|H<U`5h2!(mn9WH+c=`(&cyov#(eG}cLM!%
z2RQvcuRiafs&JpBhG^z8F8!f6P(OH^Sa}(T^&IKd#p<ubXYmqR{3y|&BfS{!5x6#z
z{tvppGfP?w2HERA1^wNzxliI7dBa%lb?BKf-t*9%z}jrSm*!j`rgT3>_P_9UZ*zMy
zD_e@io=gsxc=cVpUG5S*H`9=q-x(3};l@bh;AwQ&D6bdM#%C~c&M=ZUd#`xy(Qieh
z=?8X^zS@UGm7_bJ#>+Acth59U6;anWNZej*)F5PR9Pw-yk}|}6_!RU;dB>THrGi|4
zVFW3Pd>iyr3U78&eDe@Ki%Hn{7Nq@%*+>LZ*vYGl&+Uxclzw^|EBIe18;tz=vB>`h
zx8>tsZiOcQuQL|}HxxbRq8l!tp_V|~H&8Hv@o^Y@Tmil3yw1#`M&ii}z@gc2bTKjz
zW>ilF<7O~R<{i}Z)Dp_L%GhjyHAo=7RVF-W>wJb1>*-7MjiG-Udkf%Q3)=7|7G*HD
zBLVMQBC%xsUOTushuHiNfGqFkZE8o|C=lQ0jL{@#2D6S?P*9iD^}I%m!5y@E8Qz9#
z%pl%G`~Mp>)sgFmc<bU2tZD+*D3xa;?nEL+(FalBien&;o1GlwY@h47{qX~2d!w0a
z7CN!MBS`l;bi_>TQik^q*fHd+1bhABRrS7bze5h<pk@?$<`_6B(wW6v;vjhLLA21_
zSoFEhR=hLqoa5+?xs*JRa<YiTGl#t=Gng&L5Z8JYye&t*o&%GA4;E?xnwXEr`9<V>
z6*960oA&_wGV3EZ6KP=_edHt6G-nHMDqM%w>BI4))62;x9@^9NZAa$NFX8pAgBE%a
zX%09O!GPWHG$kVuLLy_a!$-JN1AYtx6BZ!_3yDzm6Zda|KkdA!cumUPNl2Fbm3zQJ
zuRzTXtnx_u(?>+|O~mT%i9fTD{*2{4Bjf1(#qeb-J3)VB#4cvU-jBt*7X<nR*kKTy
z8^?Tg5VOVo)blQSqX-!dp`mMgnzdbUOL^Bq8oL)}(dwG??JuC~(NJ{+kA6O9t&zM&
zV53!dk)L)-87c304bTyT@Y&zb_`HBD*F~CdW^VrtJe`F!<T}-nopIQbT)6oTXd)Xr
zp8;S0$gvDblFzgr{j{Dj5RDIUH8Rx?J6{F{+K&#1=IDSP?*;!~=Byjqq$L<T#>7BQ
zXD+b~j3f-2$+&n3j2i1y^)}*9>58XxJ#sUW(mzC3J_TiOgYP<_1sBrxw%~~B&H~0~
zg7KSv3=d_OPf|`9Z8?qH-jDy|Eym;$%6$<m;xcaUM}h~^j>qA{XW;5V$jxQ?Xg${5
z57rrtKkr-Tb9#3zHm(3qSvvfhgk9)^g<pdV{>Z3k=MATY6F}JoP9C^>Ds?PFQa&J`
z!{{GH>Vu56`-wN2;dTPY<iNc*k(D!^?6KaQlfe343cZ=hs>^)JYRQU#bi*txZ45Z@
zZu;y6O1gm^1!wTKHitL0k=0I&inriP4Dlhhqw9Vpw(~GBeIc!?z!u*_-^S9C>LB8g
z_yQ(tw-%$R5U=AR;uHVE{NgHgya?`FWTgEutmU6v-NL;{Q1_FxcsjhBfNq-s*Jt6O
z_!69xfs`D^8b5+(@eMT9Bs^rP&Yy6pG1O!r@lDWFZ_+;t=(W%B>8*z9<E*eXWYjc<
zH*Ju-Oh(#W@NWeOEt!$r7oLC54C@JyV;ivXx77U#BW)$|s;7}J5npm2=KxyZ97yMV
zboU<K{_}t6&G(^Y8of3GZSge{G5}5WF>}i+SmzT^K9Jv|km*azCF|ii=!_k?jS;+v
z;|2KmFd9>{p{JqXTYB*o^v9=2YgPRDZy@RQ(N}F4?S)=%(sx9zn^DKJNW&&9@+)v8
z7p>itQsz^8A$Bj08i$c$1f@rTk(<z_$Kb|S<Zeu9>Gb>(bfQLSIZ;*Xpfl2u!KdK#
z8s6u0nQ})%(WB_Jo0$=7rm+<JFb*r3h+pg-Y=WQO&tiW17X6e?KR3g2wT7+-koP;`
zW>+M}MKgX!?{4DAK_84^4mg%sk&B(LWiVkpQuGL8XamwRALMh9n)aZNYJ%4t`c!yY
z8siP*^Emy#gb~n~HuXgNbONDNVJ2FYF`kKCU4zDW4-0q5>qRft1Iwj?_M0<WN6_;5
z9IuntW9&=<C(Hv|+|TT$DdS0=x(F!lXZr3w^2E^JMeu$#qxd$g>L<uk0&B)UF@FAu
zEuW6G#n7k!MT>j~57NQ2nqijV*=qpGy-Zsiq-7CWS-5r^Gs}0-f~T0tKSt^24Q5z^
zW!j78>WyTzXFm8f*kKg?mqV|#XXN#Qw_}jIa<09HmUY=j_Bpm^9Cxb2g(Fy)DfG-y
zY-tyIY%F|_LDy^Ul7*aVUYkq{+tZpY<e!Ir*^GVHd?A2L+y@8x(&~Sp$GRe?8vD!P
zWg+@B4(@tTw}}xl6*<oUN3|qfZ{%(Y+A0<Q^EPG%@_v@UiwJsa6(e{8qw*tk(-Y|0
zY~IgxmzhD{!*_G2XhEG_=#{qgV12l>9jYE<47X<vznNBaLOPmaBMPn~t<~6F`Mo;P
z2SbqKXk_f~@b^6OcN@Lwa<3(Cjhg~O9gYo|fgak(?ByJ~;BQEEGc)5$MMjz-DfNsG
zvY1vaMF&qp>kP-9f5iE6=1K|7Y+Jyqw#E`vAocO&xrKKAK!1;?*Y5;v{TqF{9FAWh
zM<FGxrH}WbLA8?6nmT*YvX;p1DKmqSkKqVuBSF|7VtJ=A=H7-oGiX;M=Heqrn?w0u
zqeaG|OOAW3kp=PQBsOX&vNnWVi$LUQw4^=AAsV?Xqj$o5pGSAaz}FVEYbR9cojAkM
z?z^Ea3T;;f>{r5}dF?6w2dGV4xXcLqlhHDfwA(oHxl<eLo{jZ7hV9x(iwdAytC8i@
zvX}Cz(ksH})mbfBNnJ{Jj$RNpEJdQ^yD6vEGPrV)E0^I>2He@s^)qN}AH83f9_hgU
z{ajx`A1pHW_cF89oHz`hc0$twaAGGmv>f}<m=-rDPkRtkF4R;&M?-i#n0_f{)Gk94
zZGw&{_|g(-?n57*$2x3eq;90#7-Xd?R`@44yq-DVMr8Cj+#@^@{7k_rY@#I|{gaGt
z>_<ImaHtz&Sctcf8uMslE%>;UGBV-ST6lDd93gbBX52xfq!}&K47MTpQ)q`gJ3vuV
zoguCK?r~tt`i!{RTtCebNxRxJhGGm)Qt0grC|iTf9HiYf(48^x+0NVZX<sBcZ>QBS
zqN4{gX4})Z1?a||<jAD2{M1{Mvf_y@z7496(>rBY4(YUX#&=7!R~VjNpjVE=t>)<6
zrqodkuMX0`N1(MPJV-|0%eFVBtQcB-iMG^$&SvyMN2I$Q+>d~=;~dQOuuEMyZl`6*
zXsL71o=Ex{@K0&epfVEN#-0!KKzqi0OUh{jrEyRy9!e9*XHiDpV&tZbE0U8sv{y9V
z2%kDqehaSMK(9GSx+J57PXwjcpv;D}Jqhln(NA`TqcgQMrN!z2$(1~r(g%0awl1`#
zDs^Axh@_rYl-`}||KKcv)%Z)uSb)~FgW|r%|8*C4gfJ42u_S7fKeQc^+<;W^v@eo7
zHO%$a(AkKzDYQ?2KJHbg%^J69P#_PKd?3|K4tcIx(87k4<A9<Al$He7BjAaTZ_CM=
zlwFIIX{4)da;NZJ3wo-7#G*|qts*reh2$)W^fhT=RZ=(PsK>8lKK00xOrBcgh~ut2
zXKC=*`o@}&QdElqYc+3Vg#C@XsxuCH0^|{&Q@EeZFShQZF*J8br0fP9Eon`C%CEuw
zWNOhE(>hiHZIYgdqV!n4MYA{{eOuqqRohUNV5m#sZX&5F=$}jUbC4di-s@yaPU230
zQmR3h5JWVTNsgp%l>Qu^(Mw1X3;9UMHPe@oq=}|B`Mzt@?mE<&YD$v7>>7Emk+zgv
z@~nj!OHoiPDiaOGTB%b?dDuc|+!8*Q&{bv7CJ&tc?EeUI`JqR%Zb@}1hdgy5b0x@G
z8HapjCFC#VtOSZ>M^2!HPGE7)&<b6zAcxDhrAzr;O3`n5%j7W@s?g4I`2`Cp<DAj5
zSIJ+@xu}y~uHcY=QQWZYl;2SF6BwFr@$4!`33rvQ%-p%iy)%?~${Ypg66uoya}-hj
z8R|dJ=M*&;ldj18KhO9*&v}t)(J}JKn}5{Ms1#?oE3c&dh|(YWZ#|0k*9p?g>#3Z&
za}=#~gkREFC;0ryFL^}OcC}Xe`7CGBr%F*^>OMg_S=~cuwxcG!TB3DX`BMwc|C1)=
zNt5!R@rvf51NZS;e)z+tFOG3`)SRhr4s-7)b*Suo^DB=tUHy}9tEZLwxS{uisYz`R
z-LjNwmuOT^i3agdEfsh4tvjMnd{VySTvK_4hF{`n5oao`l4mMYSHvgLDfv<T^3RH5
z(Jz`+t5TjeJylFOr>R>Uya4ykUZ+Q;s5X^x%5dk{|MDoM=(45A`>R$+>U5korJOhA
zNp9>>DP0%nb1N4YkdDejY2**rxRYGU124(dsFEaVObWMDjvtLPrPR359gQ8GYs_m*
z*)got*C<D2Nsmi=NYXW;q#x|aRUY}_E62UYiL8mn77sh|Ut?6`S(?YkIChN{(P)%^
z-i||F8muACpGLpm=(oRq+cO8PAwRbcdBvqa0+gtn71Si#r1JoGqxk5zyy7a+Ua@*e
z=h56(I+Z7@BIF@G6>ZL?ts?obeILyw-+Mf|s|rUvde819&|FD6unKpTqKZjvJ@iRv
zQtPdk=9ZO^4XMumWb}PaK6d3$-U5{^Js!=OEJBJ&pF$3KLaI@luIiU^TU)1kRlYR1
zN|r6JhaOHfwJ3EhG;>Y9W%re$mN{gjWLp|zsbnb{awuONQ^E~gYd{K>*3hJAU{W*$
z*)_)=Hs-(9d$i({#&;7_P6KkOta{|rnaY%HZc2`(9KsW}RM`sIXw_I3T1B1C8klmm
zqNmih1ld2GsUEw+WJ^gUpUM!eX{Kb0ZR(ghR9<~khG>xuZ%i6Xky2aA)e6xj`tABv
zBSWvKujD{olS_2pKrT_HHrv)Km;4^KG+Tq_#ddB~Nv%q+PwVQLGAw`8*2Wx`fBH@{
z?G&GFI~(!armX{iYI81%RF3*Y>Fk=PzI9!t*G5i+Uxe0D3<qqV+FlVCZ98l~iF0a|
zN=)OPe%UL!e*^hdr_NNi@`}TCImCP2Rq3irtKO1o9g;EK6&1BOmjr5ksw(${EOaQ1
zq+e31`zo=9p;-7qWvLaCdX*>H*H{o*5ax+zge4jIPckD$D`9plYAgr=30)|a9UDq(
zb6fNzw4ysgavH}<r<F6Ut7#0!a4pv80nOB7%<p*4q+=rZRXNJzjBb$Duzz-aPQUcg
zdZSh!rFkN_;u#GmO{9A|tcD94Z6)0&4JkdS*@U#R^rSSi)#JiX7LO73(CAfZTIqSA
zAt4Q`o28AVr=`nfD=Zd~{m?Edp$}PXYh8pegg2B%mO>g_=tFj0mP}|w_DE+Io5;!u
znb;KPuuYm>2)_s|$<_&L$x0q4r);aWXR^Dp!m`=cZdO`!+3@4W(#zt@=Ii^2NhM3G
z^p&{^j9s+I=G678vf4rsLJvB$*FwMcbEe!!xF&0TnE!|Qbp%YIv<FC$d;QQ34WSx+
zgi<UH5gkGh+C3oLqdf$>@Br*#Zn%U0dpUCXuiUCvYq~1u5GC&>jZ*5^ZO*jAK&#hE
zr+m4b=W=Zq-+Rn_a~J>jnse2%liB8W?(4s5vo))%UDs>Ys_OxMYsZCX%Hho3-%Xjj
zP2OGC%TR4P-)YLxeg@U6b!)BMYTb4xhbY#}SClAqjww@AsN7uY6<4*=tu<e9K~!1F
z_L$bIMJh)n=+HgUve(okiVt$A9Lr<jD{)-?tzOo-ehFm>H=X<+4$=y?l?LVc3)fjp
zD?D9@v<c^*HIgVyszcJEtCC#p?GTO@x{}P=>&0A^+-o#QVvEfPP!6FujSe9#NxB^o
z`WEui&I5fea_2mwN25{L%8n!9C?P2MD>Y9EF;eY#)rhroA<ca>>#%x48iG&=Xc-?@
zg=6$POfJnfEIN{Iu^tlX5&bER@QP+f!Y?|L&iU)mjMw59p&sED;T542>9R^4C!H#d
zXm=7Q6~P_(PP(pxrQcJGE|!+mY*jkdq8ecs=~Ihvq^G5^Ew-s@&XXxg_bnPy{Ym_?
z2&X32LUyG#I$w4pm2*4S6+P1NiPWpIWh*oT*Ic_chb)lLkm{3-k+l%EP#LLME{hpt
z9qmV!Ox8|TO?J#$HKnpP+*)kyXK8Nc+)Ydg7TpLbv@lm&aJL0V<+m_FV`{K|2&EEw
zQ5mi9K?q;S7tow5*2>GO3M=Tp5J)A0l5G~kkjFsRw4cdh7mG?NuZtc_iIA1(5DsZ(
z{-=>&S5&J?uy{rJ|2l-%Y%U>(%6pc&hH$SQ`D~kon_BV_JwiId07@q$A&!Z!Y38c1
zibZg0g|L@B)CQF(ykc>L_T&l)3g`TVjC9}jiF!?_#Mao1)S_HGtVCYQuTsS=i%G;u
zT@l6-&aG>5TmD%J>vLVWLYPq)L-?XnPJ~J%dw-!UVWPkAj1Y*GJS$<6!AcY(L?j8c
zct!FpTti@JLx-);;yBeN%542QS2~S0c>#sZh1P|KG|ud|Jggcg!upya2!&{8n{bGB
z9txXi6l;c}eM+&66wM<v+U1*(Ca|+2{kO9mX$T!Y?rEl@KOq;*j-;bPXc5h#f@mD+
zC(X;`7n1+QA{Kp18%b-aj!Fb%F^qJNW_;F%qi=awET++nO!ZXG^`sR;q)=+<N@>qB
z^qFeVb?ehnxpqdXIjluCR;Q{|JI~cT^or5c7fGQ*m`F2Kc}|2^gnu*-mgcq^+TtOL
zWvp*N*g(6ntgk{VCBi?Nwad0xe~|UEXf`i2A}b=FgzSU$KiHJYW%rrM`=B#jmj^+I
z^_Qq-p)u>BI)Qc5?lGYV;SeDTiz$SNWWD!sT?j|mMmAekRH$ON`L&%jg<OMGWOao!
za<Rm+-8+ok-vN%;%AtLYo3ZP{ExXNcp@FSjvG;{0lvd?hj3Q6HC=psXNL~6bRI?8X
zgc>X!k<}OND%F;pY3f$FDoH!fv_~|X+JsXo>C0sGU>&~yb!K%*JIb=jv5o&39Gh8j
z60X_G*#=T<;%*lI|KL|9=UYvAm1rfC)M}&Mi&}X<$K=sI&qL5JJf)p$+s*$>({AP4
z!ZlmBP>pcf9!e7R;^q#{g~zr+lijVT^}Y?zA&Qh{pJ~w^&UJmAp>QLqMYUEEw89~5
zm19cHrap1PVx?^Es+Y7!@^`-1^R0b$Te)g`S^cKkw{Tbex0#YRlE&^%-Ntp*v4xK~
zmPNTjTH^XXBOStO;;L#9&(y9glV_{BV)q0pzjBLXc4b-V#hXliXYjEpDu1hO>p3#W
zBd%HOC;p1V`WAu|4>p@xH<Dg`s-De)0wGMb(MqdDjgorpeEkg`YM-L&R6ncb*@n-1
z`IZccmm8>ErRx75d{plyb4611hq?AUzm;1pQ~UHw|1}D>ab5StbMbz&p-ZcD8a<M2
z(YTFYk_U^&B@5!3<XxW3BmB3x+v0F>S-h})A&S)V!q)1`JVvwh%wDdlA96@%dAoyJ
zwnE1Sev6K++!4P-X*T7F5{;YvhO#}RK7gK(-&7hy`pC|(q>nV~vPkw4nowHyB6`No
zaWt372Se+=w2yqFLb^h+`pA1JFR8qn+B==kFRR7Q8qF#{agjmesz<Xgd0n;J-Rdpr
z&_6j>J@WW!zG!uw^q-vr%HyePs#QAhG@4mHLg{m9@)FLqYquO~E^tM&X?YsueYf63
zKh`kb*fCin*$mBtwaTRxAMFj+Ojuq^wMm|T`8VZ#)U`@asP^<1n^JXl(UdI@r)shu
zQ_ZG>Si(qS3uP;<r_rSx;d-q-D7EaSY^+_~S6hVQh4ihLQL8f6ippw*P3!dEu0LpQ
zAls{7c6CK<vg;bUs=d@|gX%gD$FvfmS&6*O>R(w{<+uI?JAWwSj%=W2E3%)mj3xY5
ze`wZn!SM3D>D#m1m#x$8aIKxFHmxBF3)tV*?pi;B+IzuJpmOB(Rr!`{@-bY5&M=%-
z-I`lTqV(TdX6t{}x%F+Rmr4yi*0Zd0weX@TS1pi#;ws;EtwH_+Nv{0zvY_&1NQyKA
zyZ~hvxvRA*_2_BZZcEdw&{|&gxTuyd<eVv8SHw@rsnCJ&!9~gt=gt}FRDF_mT~k`?
zDbbuzy`UMQEWSpGG=f%7<RLj{>N#shrt)b9Yu6T(LVkXYJl(Nt5Zaxu5hWjruBb-&
zIqa&3U6UxH)XJRd1ECI!O_Wxc#Fn65w%3JT)DOyManKpV332I^;iBflT2WF>cHS-8
zwR2ykX<n>zQGb$im9Lq(aE%V>3gH{gwv|uZPz{=y>x!jIRM>SSyN;!+ntz|Bgp;NY
zs~J>-+E<B_M6-Br=l7bQi>69`DV18Ma#Wt$EPhzeljW>xkyp!>qWkg*NY+)8>Z;V3
z#ilRCQ(KO`uXF1Uv;G0AD=X{MwMsb=Ws+4}g7l<%M|G%|EtR5CXSycovK|K8H<BbP
eQIafaK1qpWR6YhtlMcJKXz{FF@2R|g*86{os5A!v

literal 0
HcmV?d00001

diff --git a/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/radeon_report.json b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/radeon_report.json
new file mode 100644
index 000000000..265ccac64
--- /dev/null
+++ b/benchmarks/edge_harness/results/e2e_expansion_20260923/evidence/minicpmo_omni_cpp/radeon_report.json
@@ -0,0 +1,153 @@
+{
+  "scope": "MiniCPM-o GGUF complete audio+image\u2192text+speech through Omni StageRuntime/StagePool",
+  "placement": "radeon-hybrid",
+  "model_revision": "db25077c33951fe163b42986fba0132e279872a2",
+  "artifact_sha256": {
+    "MiniCPM-o-4_5-Q4_K_M.gguf": "1237a97ee081b8abebc47aa7dad565701e8f5f904cdc92f6723ac4281bbc0932",
+    "audio/MiniCPM-o-4_5-audio-F16.gguf": "d5b188ac7feaf98e17175c3f9bd14bf269301bfd187439fdaa3e3a494fc32ef7",
+    "vision/MiniCPM-o-4_5-vision-F16.gguf": "1453678cc4e4fe18de241952962e234f265cb8dda780773526103ab8ba82f421",
+    "tts/MiniCPM-o-4_5-tts-F16.gguf": "c7be3748a863dd6966ae7eed42600b7f41ca67affb03729ff245247f0e5ea088",
+    "tts/MiniCPM-o-4_5-projector-F16.gguf": "4b1b5b377358a5e594a304ff6ea5d52df606a9ba7d886c4299d232f0c67dd1fd",
+    "token2wav-gguf/encoder.gguf": "7f8d265da594eaf5e1de2db8f5f1867dbcb0bb75ef5878fadf2952347116f4d0",
+    "token2wav-gguf/flow_matching.gguf": "eda6069f3edeb5dd3a87fbf2aedb2ddd1b46f3273926c4fcf09b24476a39cab8",
+    "token2wav-gguf/flow_extra.gguf": "c67611aa7d02500fe395a7798bf0bfdfb55c74d37ba93934ca74d82b4e63f78d",
+    "token2wav-gguf/hifigan2.gguf": "1b8b3bf5d8d3066aeee4324fdcdd41aefce170d0ee907645858de408d82835c2",
+    "token2wav-gguf/prompt_cache.gguf": "81fe6f541ebe0b67db06a1e395df928da47991dc9637c2cf47d6c59d5b979f2c"
+  },
+  "cli_sha256": "66a512386aafeb708f49a7394a9054d94ec777c362395c8917a3d198aef1b523",
+  "reference_sha256": "cf4bb5cd9acbfbf67596d4a53310652b61ef4b7ede1d54eb03ef4882ca40223a",
+  "input_sha256": {
+    "audio_wav": "14ee147cbf2ce9afd9e32c8c8228d7cfe11985cd7e63456b2ad33871492aefcc",
+    "image_jpeg": "22c7ccea466a3f551c512045e6316c7597408d4e0a20205502f55784d977aa8d"
+  },
+  "memory_budget": {
+    "capacities": {
+      "host_ram": 32212254720
+    },
+    "demands": {
+      "host_ram": 25769803776
+    }
+  },
+  "profile_count": 1,
+  "warmup_count": 0,
+  "startup_s": 6.826672600000165,
+  "execution_plan_at_start": {
+    "backend": "external.minicpmo.gguf.v1",
+    "stage_id": 0,
+    "worker_generation": "30587e7aedc54c19be6cd5dd5adbaf0e",
+    "model_revision": "db25077c33951fe163b42986fba0132e279872a2",
+    "artifact_sha256": {
+      "MiniCPM-o-4_5-Q4_K_M.gguf": "1237a97ee081b8abebc47aa7dad565701e8f5f904cdc92f6723ac4281bbc0932",
+      "audio/MiniCPM-o-4_5-audio-F16.gguf": "d5b188ac7feaf98e17175c3f9bd14bf269301bfd187439fdaa3e3a494fc32ef7",
+      "vision/MiniCPM-o-4_5-vision-F16.gguf": "1453678cc4e4fe18de241952962e234f265cb8dda780773526103ab8ba82f421",
+      "tts/MiniCPM-o-4_5-tts-F16.gguf": "c7be3748a863dd6966ae7eed42600b7f41ca67affb03729ff245247f0e5ea088",
+      "tts/MiniCPM-o-4_5-projector-F16.gguf": "4b1b5b377358a5e594a304ff6ea5d52df606a9ba7d886c4299d232f0c67dd1fd",
+      "token2wav-gguf/encoder.gguf": "7f8d265da594eaf5e1de2db8f5f1867dbcb0bb75ef5878fadf2952347116f4d0",
+      "token2wav-gguf/flow_matching.gguf": "eda6069f3edeb5dd3a87fbf2aedb2ddd1b46f3273926c4fcf09b24476a39cab8",
+      "token2wav-gguf/flow_extra.gguf": "c67611aa7d02500fe395a7798bf0bfdfb55c74d37ba93934ca74d82b4e63f78d",
+      "token2wav-gguf/hifigan2.gguf": "1b8b3bf5d8d3066aeee4324fdcdd41aefce170d0ee907645858de408d82835c2",
+      "token2wav-gguf/prompt_cache.gguf": "81fe6f541ebe0b67db06a1e395df928da47991dc9637c2cf47d6c59d5b979f2c"
+    },
+    "cli_sha256": "66a512386aafeb708f49a7394a9054d94ec777c362395c8917a3d198aef1b523",
+    "requested_placement": "radeon-hybrid",
+    "ggml_vk_visible_devices": "1",
+    "shared_ram_reservation": {
+      "host_ram": 25769803776
+    },
+    "weights_bytes": 8872297088,
+    "memory_overhead_bytes": 12884901888,
+    "context_tokens": 2048,
+    "max_new_tokens": 96,
+    "request_capacity": 1,
+    "stateful_session": "C++-owned within one request; discarded after completion",
+    "placement_evidence": "pending first request"
+  },
+  "complete_request": {
+    "text": "The square in the image is red.",
+    "wall_s": 18.274119000067003,
+    "audio_metadata": {
+      "sample_rate_hz": 24000,
+      "channels": 1,
+      "pcm_frames": 62400,
+      "duration_s": 2.6,
+      "pcm_sha256": "412a42f9a72cfaa50e64dfa3f93e9818f37ab3167de31b3d9809e20057440fa3"
+    },
+    "stage_event": {
+      "request_id": "minicpmo-1",
+      "stage_id": 0,
+      "epoch": 1,
+      "seq": 1,
+      "kind": "audio",
+      "worker_generation": "30587e7aedc54c19be6cd5dd5adbaf0e",
+      "buffers": [],
+      "terminal": true,
+      "error": null
+    },
+    "metrics": {
+      "minicpmo_whole_request_wall_s": 18.26119730004575,
+      "peak_sampled_rss_bytes": 15573639168,
+      "worker_log": "C:\\Users\\zhout\\w2\\minicpmo_omni_logs_radeon\\minicpmo-1-fec5accd5f8b463f8e62252d7a31c927.log"
+    }
+  },
+  "output_wav": "\\\\wsl.localhost\\Ubuntu\\home\\zhout\\project\\edge_infer\\vllm-omni-edge\\benchmarks\\edge_harness\\results\\e2e_expansion_20260923\\evidence\\minicpmo_omni_cpp\\radeon_output.wav",
+  "execution_plan_after_request": {
+    "backend": "external.minicpmo.gguf.v1",
+    "stage_id": 0,
+    "worker_generation": "30587e7aedc54c19be6cd5dd5adbaf0e",
+    "model_revision": "db25077c33951fe163b42986fba0132e279872a2",
+    "artifact_sha256": {
+      "MiniCPM-o-4_5-Q4_K_M.gguf": "1237a97ee081b8abebc47aa7dad565701e8f5f904cdc92f6723ac4281bbc0932",
+      "audio/MiniCPM-o-4_5-audio-F16.gguf": "d5b188ac7feaf98e17175c3f9bd14bf269301bfd187439fdaa3e3a494fc32ef7",
+      "vision/MiniCPM-o-4_5-vision-F16.gguf": "1453678cc4e4fe18de241952962e234f265cb8dda780773526103ab8ba82f421",
+      "tts/MiniCPM-o-4_5-tts-F16.gguf": "c7be3748a863dd6966ae7eed42600b7f41ca67affb03729ff245247f0e5ea088",
+      "tts/MiniCPM-o-4_5-projector-F16.gguf": "4b1b5b377358a5e594a304ff6ea5d52df606a9ba7d886c4299d232f0c67dd1fd",
+      "token2wav-gguf/encoder.gguf": "7f8d265da594eaf5e1de2db8f5f1867dbcb0bb75ef5878fadf2952347116f4d0",
+      "token2wav-gguf/flow_matching.gguf": "eda6069f3edeb5dd3a87fbf2aedb2ddd1b46f3273926c4fcf09b24476a39cab8",
+      "token2wav-gguf/flow_extra.gguf": "c67611aa7d02500fe395a7798bf0bfdfb55c74d37ba93934ca74d82b4e63f78d",
+      "token2wav-gguf/hifigan2.gguf": "1b8b3bf5d8d3066aeee4324fdcdd41aefce170d0ee907645858de408d82835c2",
+      "token2wav-gguf/prompt_cache.gguf": "81fe6f541ebe0b67db06a1e395df928da47991dc9637c2cf47d6c59d5b979f2c"
+    },
+    "cli_sha256": "66a512386aafeb708f49a7394a9054d94ec777c362395c8917a3d198aef1b523",
+    "requested_placement": "radeon-hybrid",
+    "ggml_vk_visible_devices": "1",
+    "shared_ram_reservation": {
+      "host_ram": 25769803776
+    },
+    "weights_bytes": 8872297088,
+    "memory_overhead_bytes": 12884901888,
+    "context_tokens": 2048,
+    "max_new_tokens": 96,
+    "request_capacity": 1,
+    "stateful_session": "C++-owned within one request; discarded after completion",
+    "placement_evidence": {
+      "observed": "radeon-hybrid",
+      "worker_pid": 34076,
+      "peak_sampled_rss_bytes": 15573639168,
+      "worker_log": "C:\\Users\\zhout\\w2\\minicpmo_omni_logs_radeon\\minicpmo-1-fec5accd5f8b463f8e62252d7a31c927.log"
+    }
+  },
+  "abort_check": {
+    "stale_output": false,
+    "ledger": {
+      "capacities": {
+        "host_ram": 32212254720
+      },
+      "reserved": {
+        "host_ram": 0
+      },
+      "owners": [],
+      "quarantined": []
+    }
+  },
+  "status": "passed",
+  "ledger_after_shutdown": {
+    "capacities": {
+      "host_ram": 32212254720
+    },
+    "reserved": {
+      "host_ram": 0
+    },
+    "owners": [],
+    "quarantined": []
+  }
+}
diff --git a/benchmarks/edge_harness/results/e2e_profiling_20260922/evidence/summary/README.md b/benchmarks/edge_harness/results/e2e_profiling_20260922/evidence/summary/README.md
index 74642b3e0..6be6f464c 100644
--- a/benchmarks/edge_harness/results/e2e_profiling_20260922/evidence/summary/README.md
+++ b/benchmarks/edge_harness/results/e2e_profiling_20260922/evidence/summary/README.md
@@ -1,6 +1,6 @@
 # E2E check and profiling
 
-All 60 pairings have a disposition. The timing tables below remain the 2026-09-22 measurements. The configuration matrix and affected per-cell reasons incorporate the [2026-09-23 scoped recovery runs](../../../e2e_recovery_20260923/README.md) and [WSL CPU/native Windows expansion](../../../e2e_expansion_20260923/README.md). The expansion adds separate 20-request serial MiniCPM-o text-to-speech profiles on WSL CPU and native Windows GPU, a Spark output-head component profile on the HX370 AMD NPU, complete Spark text-request profiles through standalone llama.cpp and a bounded Omni whole-session stage on native Windows CPU and Radeon 890M, native Windows CPU Qwen3-TTS text-to-WAV profiles through both standalone PyTorch and a bounded Omni whole-session stage, and a hybrid CPU+Radeon 890M Qwen3-TTS profile likewise repeated through a bounded Omni whole-session stage. A separate pinned GGUF MiniCPM-o route adds combined image+audio to text+speech runs on WSL CPU, native Windows CPU and native Windows Radeon 890M+CPU. On the latter two, the same spoken visual question was answered correctly with identical language token IDs. Those C++ routes are standalone, outside Omni. Profiling completion does not imply full release qualification.
+All 60 pairings have a disposition. The timing tables below remain the 2026-09-22 measurements. The configuration matrix and affected per-cell reasons incorporate the [2026-09-23 scoped recovery runs](../../../e2e_recovery_20260923/README.md) and [WSL CPU/native Windows expansion](../../../e2e_expansion_20260923/README.md). The expansion adds separate 20-request serial MiniCPM-o text-to-speech profiles on WSL CPU and native Windows GPU, a Spark output-head component profile on the HX370 AMD NPU, complete Spark text-request profiles through standalone llama.cpp and a bounded Omni whole-session stage on native Windows CPU and Radeon 890M, native Windows CPU Qwen3-TTS text-to-WAV profiles through both standalone PyTorch and a bounded Omni whole-session stage, and a hybrid CPU+Radeon 890M Qwen3-TTS profile likewise repeated through a bounded Omni whole-session stage. A pinned GGUF MiniCPM-o route adds combined image+audio to text+speech runs on WSL CPU, native Windows CPU and native Windows Radeon 890M+CPU. The latter two now also pass one bounded complete request through an Omni graph stage, including in-flight cancellation and ledger release. These are scoped synthetic cases, not full release qualification.
 
 ## Configuration × model
 
@@ -9,10 +9,10 @@ NOT E2E means no complete device/model workload was verified. “Scoped E2E” i
 | Device | Spark-X2.5 | Qwen3-TTS 0.6B CustomVoice | Qwen3.8-27B | MiniCPM-o 4.5 | InternVLA-A1 |
 |---|---|---|---|---|---|
 | PC HX370: CPU / WSL | profile completed | scoped E2E: short stream | NOT E2E | scoped E2E: text/image/audio → speech | synthetic policy pass |
-| PC HX370: CPU / native Windows | scoped E2E: Omni Spark text | scoped E2E: Omni CPU text → complete WAV | NOT E2E | scoped E2E: standalone GGUF image+audio → text+speech | synthetic policy pass |
+| PC HX370: CPU / native Windows | scoped E2E: Omni Spark text | scoped E2E: Omni CPU text → complete WAV | NOT E2E | scoped E2E: Omni GGUF image+audio → text+speech | synthetic policy pass |
 | PC HX370 + RTX 5090 Laptop / WSL | profile completed | profile completed | scoped E2E: text + image | scoped E2E: text/image/audio → speech | synthetic policy pass |
 | PC HX370 + RTX 5090 Laptop / Windows | profile completed | profile completed | NOT E2E | scoped E2E: text/image/audio → speech | synthetic policy pass |
-| PC HX370 + Radeon 890M / Windows worker | scoped E2E: Omni Spark text | scoped E2E: Omni Radeon talker/codec + CPU predictor | NOT E2E | scoped E2E: standalone Radeon+CPU image+audio → text+speech | NOT E2E |
+| PC HX370 + Radeon 890M / Windows worker | scoped E2E: Omni Spark text | scoped E2E: Omni Radeon talker/codec + CPU predictor | NOT E2E | scoped E2E: Omni Radeon+CPU image+audio → text+speech | NOT E2E |
 | PC HX370 + AMD NPU / Windows worker | NOT E2E (output-head component passed) | NOT E2E | NOT E2E | NOT E2E | NOT E2E |
 | PC CPU+iGPU+NPU +/- discrete GPU, joint model execution | NOT E2E | NOT E2E | NOT E2E | NOT E2E | NOT E2E |
 | PC Snapdragon X Elite CRD / AI Hub | NOT E2E | NOT E2E | NOT E2E | NOT E2E | NOT E2E |
@@ -33,7 +33,7 @@ NOT E2E means no complete device/model workload was verified. “Scoped E2E” i
 | PC HX370: CPU / native Windows | Spark-X2.5 | SCOPED_E2E_OMNI_COMPLETE_REQUEST | The pinned Spark-X2.5-1.7B Q4_K_M GGUF ran in native Windows llama.cpp CPU (`-dev none -ngl 0`) as a whole-session Omni StageRuntime/StagePool backend. `Paris` and the correct `1511` inventory answer passed; one warmup plus 20 serial complete requests were 20/20 correct, nearest-rank wall p50/p95 6.93/7.05 s. The public AsyncOmni short request passed. The stage verifies artifact hashes and CPU placement (0/29 layers offloaded), reserves 4 GiB host RAM, emits a terminal text event and releases reservation after in-flight cancellation. The separate prior standalone profile was 6.65/6.86 s. No vLLM CPU attention repair, incremental stream, restart-after-cancel, loading peak or sustained power/thermal gate is claimed. | Validate broader text/token quality, streaming and cancellation recovery, memory peak and sustained load; [Omni raw evidence](../../../e2e_expansion_20260923/evidence/spark_omni_llamacpp/README.md), [standalone evidence](../../../e2e_expansion_20260923/evidence/spark_radeon890m_llamacpp/README.md). |
 | PC HX370: CPU / native Windows | Qwen3-TTS 0.6B CustomVoice | SCOPED_E2E_OMNI_COMPLETE_REQUEST | The pinned 0.6B CustomVoice BF16/SDPA checkpoint ran wholly on CPU through an isolated Qwen wrapper worker owned by one bounded Omni StageRuntime stage. Two named 24 kHz WAVs matched the earlier standalone PCM SHA256 values exactly. One warmup + 20 serial complete Omni requests for 4.56 s of audio had 20/20 identical PCM and nearest-rank wall p50/p95 15.32/15.60 s (RTF 3.36/3.42); independent Whisper tiny.en ASR gave WER 0.20 on the first Omni WAV, an intelligibility proxy only. A public AsyncOmni audio request passed. The stage verified pinned weights/interpreter and CPU placement, reserved 10 GiB host RAM, rejected an insufficient 4 GiB demand before worker launch, and after in-flight cancellation emitted no stale output and returned the ledger to zero. Sampled process-tree private memory peaked at 5.39 GB, not a loading peak. Native vLLM CPU attention operators remain absent; playable streaming, post-cancel restart, broader speech quality, loading peak and sustained power/thermal behavior remain unverified. | Validate playable streaming and restart/recovery, broader voice quality, peak memory, concurrency and sustained behavior; [Omni raw evidence](../../../e2e_expansion_20260923/evidence/qwen_tts_omni_cpu/README.md), [standalone baseline](../../../e2e_expansion_20260923/evidence/qwen_tts_native_cpu/README.md). |
 | PC HX370: CPU / native Windows | Qwen3.8-27B | NOT_E2E_PROFILEABLE | The installed native Windows vLLM extension lacks cpu_attn_reshape_and_cache and cpu_attn_get_scheduler_metadata. The separate ORT CPU graph worker is not a whole-model text/TTS adapter; a qualified CPU build/binding is missing. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. |
-| PC HX370: CPU / native Windows | MiniCPM-o 4.5 | SCOPED_E2E_STANDALONE_COMPLETE_PATH | The pinned Q4_K_M language and F16 vision/audio/TTS/Token2Wav GGUF set completed a combined synthetic JPEG plus spoken “What color is the square in the image?” input to text and nonzero speech on native Windows CPU. The correct answer, “The square in the image is red.”, used the same eight language token IDs as the Radeon hybrid; independent Whisper tiny.en ASR transcribed both the input and 2.32 s output with WER 0. One cold prompted request took 24.66 s, with 13.11 GB maximum sampled RSS. An earlier unprompted square+tone request produced generic text and 49.16 s of speech in 137.34 s; the first generic build exited 0 with incomplete audio and is preserved as a failure. This is a standalone C++ route, not native vLLM or Omni; one synthetic quality case is not general qualification. The optional upstream WAV merger still has a filename/timing bug, so verified chunks were assembled after completion. | Bind a whole-session native CPU Omni stage with admission/state/cancellation; validate real image/audio suites, playable streaming, loading peak, repeated latency and sustained thermal behavior. [Prompted CPU evidence](../../../e2e_expansion_20260923/evidence/minicpmo_cpp_windows_cpu_prompted/README.md), [unprompted evidence](../../../e2e_expansion_20260923/evidence/minicpmo_cpp_windows_cpu/README.md), [failed first run](../../../e2e_expansion_20260923/evidence/minicpmo_cpp_windows_cpu_attempt1/README.md). |
+| PC HX370: CPU / native Windows | MiniCPM-o 4.5 | SCOPED_E2E_OMNI_COMPLETE_REQUEST | The pinned Q4_K_M/F16 GGUF set ran one combined synthetic JPEG+spoken-question → text+speech request through a bounded Omni whole-session graph stage on native Windows CPU. It answered “The square in the image is red.” and produced 2.24 s of 24 kHz speech in 24.34 s complete-request wall time (one cold sample, zero warmups); sampled worker RSS peaked at 13.11 GB. The stage verified ten weight hashes and the CLI hash, observed CPU placement, reserved 24 GiB shared RAM, and emitted a terminal audio event. An 8 GiB reservation was refused before worker launch; in-flight cancellation left no stale output and released the ledger. The prior standalone prompted run took 24.66 s and independently transcribed output with WER 0. This is a whole-request C++ worker under Omni control, not native vLLM execution or playable streaming; one synthetic quality case is not general qualification. | Validate real image/audio suites, playable streaming, post-cancel restart, loading peak, repeated latency and sustained thermal behavior. [Omni raw evidence](../../../e2e_expansion_20260923/evidence/minicpmo_omni_cpp/README.md), [standalone prompted evidence](../../../e2e_expansion_20260923/evidence/minicpmo_cpp_windows_cpu_prompted/README.md), [failed first run](../../../e2e_expansion_20260923/evidence/minicpmo_cpp_windows_cpu_attempt1/README.md). |
 | PC HX370: CPU / native Windows | InternVLA-A1 | SYNTHETIC_POLICY_PASS | The Place_Markpen checkpoint strict-loaded from a UNC path and the direct CPU policy produced finite `[1, 50, 32]` actions on synthetic zero observations/noise. Policy/output CPU placement was checked; one forward took 3.36 s. Relative L2 difference from WSL CPU was 1.08% (no task tolerance). This direct policy route does not require native vLLM CPU attention operators. | Validate real observations/reference actions, units/timestamps, memory and repeated latency before task qualification; [native evidence](../../../e2e_expansion_20260923/README.md). |
 | PC HX370 + RTX 5090 Laptop / WSL | Spark-X2.5 | PROFILE_COMPLETED | not fully qualified: reference-quality and remaining reliability/performance gates must be reviewed | Broaden only with a named workload/device/precision qualification. |
 | PC HX370 + RTX 5090 Laptop / WSL | Qwen3-TTS 0.6B CustomVoice | PROFILE_COMPLETED | not fully qualified: reference-quality and remaining reliability/performance gates must be reviewed | Resolve and measure playback stalls; run quality, interruption and thermal tests. |
@@ -48,7 +48,7 @@ NOT E2E means no complete device/model workload was verified. “Scoped E2E” i
 | PC HX370 + Radeon 890M / Windows worker | Spark-X2.5 | SCOPED_E2E_OMNI_COMPLETE_REQUEST | The same pinned Spark-X2.5-1.7B Q4_K_M GGUF completed text prefill/decode through a bounded Omni whole-session stage with llama.cpp Vulkan1. The log identifies Radeon 890M and 29/29 layers offloaded there, rather than RTX 5090; an intentionally wrong device name was refused. `Paris` and `1511` passed; one warmup plus 20 serial complete requests were 20/20 correct, nearest-rank wall p50/p95 2.10/2.14 s. A public AsyncOmni request passed; an oversized context was rejected with a later correct request; in-flight cancellation produced no stale output and released the ledger. The prior standalone run was 2.18/2.20 s. No streaming, restart-after-cancel, GPU-memory peak or sustained power/thermal check is claimed. | Qualify public configuration, broader text/token quality, streaming and cancellation recovery, shared-RAM/GPU peak and sustained use; [Omni raw evidence](../../../e2e_expansion_20260923/evidence/spark_omni_llamacpp/README.md), [standalone evidence](../../../e2e_expansion_20260923/evidence/spark_radeon890m_llamacpp/README.md). |
 | PC HX370 + Radeon 890M / Windows worker | Qwen3-TTS 0.6B CustomVoice | SCOPED_E2E_OMNI_COMPLETE_REQUEST_HYBRID | The pinned Q8_0 CustomVoice talker, F16 codec and punctuation GGUFs completed two named text-to-WAV requests through an Omni whole-session CrispASR stage on native Windows. The runtime log identifies Radeon 890M Vulkan0 for talker/codec and the 432 MB code predictor pinned to CPU FP32; this is not all-Radeon or NPU execution. Both PCM hashes exactly match the earlier standalone outputs. Whisper tiny.en transcribed the first Omni WAV and both standalone WAVs exactly (WER 0 as an intelligibility proxy). One warmup plus 20 serial complete Omni requests for 2.56 s of audio had identical PCM and nearest-rank wall p50/p95 3.298/3.336 s (RTF 1.29/1.30). A public AsyncOmni audio request passed; cancellation drained the worker without stale output or remaining reservation. The earlier standalone profile was 3.310/3.345 s. The default Vulkan configuration previously fell back to CPU, all-Vulkan ran away to a 360-frame cap, and DirectML failed waveform quality. No playable stream, post-cancel restart, loading peak, broad speech quality or sustained power/thermal run is claimed. | Validate playable streaming, restart/recovery, broader voice quality, shared-RAM/GPU peak, concurrency and sustained real-time behavior before wider qualification; [Omni raw evidence](../../../e2e_expansion_20260923/evidence/qwen_tts_omni_hybrid/README.md), [standalone evidence](../../../e2e_expansion_20260923/evidence/qwen_tts_radeon890m_joint/README.md), [failed DirectML route](../../../e2e_expansion_20260923/evidence/qwen_tts_radeon890m_directml/README.md). |
 | PC HX370 + Radeon 890M / Windows worker | Qwen3.8-27B | NOT_E2E_PROFILEABLE | FP32 448x448 vision tower: DirectML 85/113 nodes; normalized max error 9.095e-06 versus torch CPU. Historical component path, not full 27B or current graph-stage image-to-text integration. | Recover the hashed tower bundle and qualify its current Omni graph handoff with the language stage. |
-| PC HX370 + Radeon 890M / Windows worker | MiniCPM-o 4.5 | SCOPED_E2E_STANDALONE_COMPLETE_PATH_HYBRID | The pinned Q4_K_M/F16 GGUF set completed a **combined spoken question+image → text+speech** path through standalone C++ on native Windows. `GGML_VK_VISIBLE_DEVICES=1` exposed only Radeon 890M; logs show all 37 language layers and vision on Vulkan0, TTS weights at 0/21 GPU layers, and CPU Token2Wav/vocoder. The spoken “What color is the square in the image?” was independently transcribed with WER 0; the model answered “The square in the image is red.” with the same eight language token IDs as CPU, and the 2.56 s WAV was transcribed with WER 0. One cold prompted process took 18.63 s, sampled RSS 15.57 GB. A separate unprompted square+tone run completed 42 WAV chunks/41.96 s audio in 113.43 s. This is CPU+iGPU joint execution, not all-Radeon, NPU or an Omni stage; one synthetic quality case and one cold time are not release qualification. | Bind a full-session Omni stage with explicit shared-RAM/GPU admission and cancellation; validate real multimodal quality, playable streaming, loading peak, repeated/concurrent latency and sustained thermal behavior. [Prompted hybrid evidence](../../../e2e_expansion_20260923/evidence/minicpmo_cpp_radeon890m_prompted/README.md), [unprompted placement and raw run](../../../e2e_expansion_20260923/evidence/minicpmo_cpp_radeon890m/README.md), [CPU parity](../../../e2e_expansion_20260923/evidence/minicpmo_cpp_windows_cpu_prompted/README.md). |
+| PC HX370 + Radeon 890M / Windows worker | MiniCPM-o 4.5 | SCOPED_E2E_OMNI_COMPLETE_REQUEST_HYBRID | The same pinned GGUF set ran one combined synthetic spoken-question+JPEG → text+speech request through a bounded Omni whole-session graph stage. Logs verify `GGML_VK_VISIBLE_DEVICES=1`, Radeon 890M Vulkan0 language (37/37 layers) and vision, with CPU TTS/Token2Wav/vocoder. It answered “The square in the image is red.” and produced 2.60 s of 24 kHz speech in 18.27 s complete-request wall time (one cold sample, zero warmups); sampled worker RSS peaked at 15.57 GB. The stage verified artifact and binary hashes, reserved 24 GiB shared RAM, emitted a terminal audio event, and in-flight cancellation left no stale output or reservation. The prior standalone prompted run took 18.63 s and its output transcribed with WER 0. This is CPU+iGPU joint execution, not all-Radeon or NPU execution; neither run qualifies general quality or sustained performance. | Validate real multimodal quality, playable streaming, post-cancel restart, loading peak, repeated/concurrent latency and sustained thermal behavior. [Omni raw evidence](../../../e2e_expansion_20260923/evidence/minicpmo_omni_cpp/README.md), [standalone prompted evidence](../../../e2e_expansion_20260923/evidence/minicpmo_cpp_radeon890m_prompted/README.md). |
 | PC HX370 + Radeon 890M / Windows worker | InternVLA-A1 | NOT_E2E_PROFILEABLE | No placement- and quality-verified whole-model graph bundle/stateful adapter for this model on this AMD route. Small backend graphs do not establish model support. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. |
 | PC HX370 + AMD NPU / Windows worker | Spark-X2.5 | COMPONENT_PASS; NOT_E2E_PROFILEABLE | The real 1.7B output head (RMS norm and full 131,072-logit projection) ran through Omni `external.graph.v1` with VitisAI: one fused NPU partition and seven CPU nodes per request. The A16W8 graph matched top-1 on four captured activations (full-logit SNR 55.43–56.81 dB). One warmup plus 20 serial repeated-input component requests gave p50/p95 10.21/12.44 ms, versus 17.97/20.29 ms for the original FP32 output head on the same Omni CPU stage. NPU startup was 18.21 s versus 4.48 s for FP32 CPU, and NPU worker peak RSS was 3.52 GiB versus 2.06 GiB. No full prefill/decode/KV/sampling, real handoff, power, or sustained run was verified. | Measure an actual vLLM-to-output-head handoff and whole-generation cost, state/cancellation, memory admission and quality before considering a split plan; [component evidence](../../../e2e_expansion_20260923/evidence/spark_amd_npu_output_head/README.md). |
 | PC HX370 + AMD NPU / Windows worker | Qwen3-TTS 0.6B CustomVoice | NOT_E2E_PROFILEABLE | No placement- and quality-verified whole-model graph bundle/stateful adapter for this model on this AMD route. Small backend graphs do not establish model support. | Supply and validate the missing matching artifact/backend, then run the complete specified workload. |
diff --git a/vllm_omni/config/pipeline_registry.py b/vllm_omni/config/pipeline_registry.py
index 808fb6ad4..e1c5d496c 100644
--- a/vllm_omni/config/pipeline_registry.py
+++ b/vllm_omni/config/pipeline_registry.py
@@ -89,7 +89,10 @@ from vllm_omni.model_executor.models.ming_tts.pipeline import (
     MING_TTS_MOE_PIPELINE,
     MING_TTS_PIPELINE,
 )
-from vllm_omni.model_executor.models.minicpmo_4_5.pipeline import MINICPMO_4_5_PIPELINE
+from vllm_omni.model_executor.models.minicpmo_4_5.pipeline import (
+    MINICPMO_4_5_GGUF_WHOLE_PIPELINE,
+    MINICPMO_4_5_PIPELINE,
+)
 from vllm_omni.model_executor.models.minimax_h3.pipeline import MINIMAX_H3_PIPELINE
 from vllm_omni.model_executor.models.minimax_music3.pipeline import MINIMAX_MUSIC3_PIPELINE
 from vllm_omni.model_executor.models.moss_tts.pipeline import (
@@ -207,6 +210,7 @@ OMNI_PIPELINES: dict[str, PipelineConfig | PipelineResolverFunc] = {
     "moss_tts_realtime": MOSS_TTS_REALTIME_PIPELINE,
     "moss_tts_local": MOSS_TTS_LOCAL_PIPELINE,
     "minicpmo_4_5": MINICPMO_4_5_PIPELINE,
+    "minicpmo_4_5_gguf_whole": MINICPMO_4_5_GGUF_WHOLE_PIPELINE,
     "minimax_music3": MINIMAX_MUSIC3_PIPELINE,
     "higgs_audio_v2": HIGGS_AUDIO_V2_PIPELINE,
     "higgs_multimodal_qwen3": HIGGS_AUDIO_V3_PIPELINE,
diff --git a/vllm_omni/engine/backends/__init__.py b/vllm_omni/engine/backends/__init__.py
index a9d344c59..6b817cbc7 100644
--- a/vllm_omni/engine/backends/__init__.py
+++ b/vllm_omni/engine/backends/__init__.py
@@ -21,4 +21,8 @@ def create_graph_client(metadata, config, ledger, reservation):
         from .qwen_tts_cpu import QwenTTSCPUStageClient
 
         return QwenTTSCPUStageClient(metadata, backend, ledger, reservation)
+    if name == "external.minicpmo.gguf.v1":
+        from .minicpmo_cpp import MiniCPMOCppStageClient
+
+        return MiniCPMOCppStageClient(metadata, backend, ledger, reservation)
     raise ValueError(f"unsupported complete-request stage backend: {name!r}")
diff --git a/vllm_omni/engine/backends/minicpmo_cpp.py b/vllm_omni/engine/backends/minicpmo_cpp.py
new file mode 100644
index 000000000..baf6d55c7
--- /dev/null
+++ b/vllm_omni/engine/backends/minicpmo_cpp.py
@@ -0,0 +1,496 @@
+# SPDX-License-Identifier: Apache-2.0
+"""Bounded whole-session MiniCPM-o GGUF stage in Omni's graph control path.
+
+The C++ worker owns weights, KV, TTS and vocoder state for one complete request.
+Omni owns artifact verification, shared-memory admission, request identity,
+terminal output acknowledgement and process cancellation. This stage has no
+incremental playback or state handoff contract.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import dataclasses
+import hashlib
+import io
+import os
+import re
+import shutil
+import subprocess
+import tempfile
+import threading
+import time
+import uuid
+import wave
+from pathlib import Path
+from typing import Any
+
+import numpy as np
+import psutil
+import torch
+from omni_stage_contracts import StageEvent, StageRequest
+from PIL import Image
+from vllm.outputs import CompletionOutput
+
+from vllm_omni.engine.resource_ledger import ResourceUnavailable
+from vllm_omni.engine.stage_client import StageClientBase
+from vllm_omni.outputs import OmniRequestOutput
+
+_ARTIFACTS = (
+    "MiniCPM-o-4_5-Q4_K_M.gguf",
+    "audio/MiniCPM-o-4_5-audio-F16.gguf",
+    "vision/MiniCPM-o-4_5-vision-F16.gguf",
+    "tts/MiniCPM-o-4_5-tts-F16.gguf",
+    "tts/MiniCPM-o-4_5-projector-F16.gguf",
+    "token2wav-gguf/encoder.gguf",
+    "token2wav-gguf/flow_matching.gguf",
+    "token2wav-gguf/flow_extra.gguf",
+    "token2wav-gguf/hifigan2.gguf",
+    "token2wav-gguf/prompt_cache.gguf",
+)
+_WAV_NAME = re.compile(r"wav_(\d+)\.wav")
+_CHUNK_NAME = re.compile(r"chunk_(\d+)")
+
+
+def _sha256(path: Path) -> str:
+    digest = hashlib.sha256()
+    with path.open("rb") as source:
+        for block in iter(lambda: source.read(8 << 20), b""):
+            digest.update(block)
+    return digest.hexdigest()
+
+
+def _wav_format(data: bytes, *, sample_rate: int, max_frames: int) -> int:
+    with wave.open(io.BytesIO(data), "rb") as source:
+        fmt = (source.getnchannels(), source.getsampwidth(), source.getframerate())
+        frames = source.getnframes()
+        if fmt != (1, 2, sample_rate) or not 0 < frames <= max_frames:
+            raise ValueError(f"expected bounded mono PCM16 {sample_rate} Hz WAV")
+        if len(source.readframes(frames)) != frames * 2:
+            raise ValueError("truncated input WAV")
+    return frames
+
+
+def _jpeg_size(data: bytes) -> tuple[int, int]:
+    with Image.open(io.BytesIO(data)) as image:
+        if image.format != "JPEG":
+            raise ValueError("MiniCPM-o image input must be JPEG")
+        size = image.size
+        image.verify()
+    return size
+
+
+def _tree_bytes(path: Path) -> int:
+    total = 0
+    for item in path.rglob("*"):
+        try:
+            if item.is_file():
+                total += item.stat().st_size
+        except FileNotFoundError:
+            pass  # The worker may atomically replace an output while we sample.
+    return total
+
+
+def _read_result(work_dir: Path, max_audio_s: float, max_wav_bytes: int,
+                 max_text_bytes: int) -> tuple[str, bytes, int]:
+    round_dir = work_dir / "tools" / "omni" / "output" / "round_000"
+    wav_dir = round_dir / "tts_wav"
+    if not (wav_dir / "generation_done.flag").is_file():
+        raise RuntimeError("MiniCPM-o audio generation is incomplete")
+    chunks = sorted(
+        wav_dir.glob("wav_*.wav"),
+        key=lambda path: int(_WAV_NAME.fullmatch(path.name).group(1)),
+    )
+    if not chunks or len(chunks) > 256 or [item.name for item in chunks] != [
+        f"wav_{index}.wav" for index in range(len(chunks))
+    ]:
+        raise RuntimeError("MiniCPM-o WAV chunk sequence has gaps or is unbounded")
+    pcm_parts: list[bytes] = []
+    frames = 0
+    for path in chunks:
+        with wave.open(str(path), "rb") as source:
+            fmt = (source.getnchannels(), source.getsampwidth(), source.getframerate())
+            count = source.getnframes()
+            if fmt != (1, 2, 24000) or not 0 < count <= 24000 * 10:
+                raise RuntimeError(f"MiniCPM-o invalid WAV chunk: {path.name}")
+            pcm = source.readframes(count)
+        if len(pcm) != count * 2:
+            raise RuntimeError(f"MiniCPM-o truncated WAV chunk: {path.name}")
+        frames += count
+        if frames > max_audio_s * 24000 or frames * 2 > max_wav_bytes:
+            raise ResourceUnavailable("MiniCPM-o speech exceeds admitted output bound")
+        pcm_parts.append(pcm)
+    pcm = b"".join(pcm_parts)
+    if not np.any(np.frombuffer(pcm, dtype="<i2")):
+        raise RuntimeError("MiniCPM-o generated silent speech")
+    text_paths = sorted(
+        (round_dir / "llm_debug").glob("chunk_*/llm_text.txt"),
+        key=lambda path: int(_CHUNK_NAME.fullmatch(path.parent.name).group(1)),
+    )
+    text = "".join(path.read_text(encoding="utf-8") for path in text_paths).strip()
+    if not text or len(text.encode("utf-8")) > max_text_bytes:
+        raise ResourceUnavailable("MiniCPM-o text is empty or exceeds admitted bound")
+    return text, pcm, frames
+
+
+class MiniCPMOCppStageClient(StageClientBase):
+    def __init__(self, metadata, config: dict, ledger, reservation) -> None:
+        for name, value in vars(metadata).items():
+            setattr(self, name, value)
+        self.stage_type = "graph"
+        self._ledger, self._reservation = ledger, reservation
+        self._generation = uuid.uuid4().hex
+        self._closed = False
+        self._active: str | None = None
+        self._task: asyncio.Task | None = None
+        self._output: OmniRequestOutput | None = None
+        self._proc: subprocess.Popen | None = None
+        self._lock = threading.Lock()
+        self._epoch = 0
+        self._config = dict(config)
+        self._placement = str(config["placement"])
+        self._memory_pool = str(config.get("memory_pool", "host_ram"))
+        self._context_tokens = int(config.get("context_tokens", 2048))
+        self._max_new_tokens = int(config.get("max_new_tokens", 128))
+        self._max_input_bytes = int(config.get("max_input_bytes", 2 << 20))
+        self._max_wav_bytes = int(config.get("max_wav_bytes", 2 << 20))
+        self._max_text_bytes = int(config.get("max_text_bytes", 16 << 10))
+        self._max_work_bytes = int(config.get("max_work_bytes", 64 << 20))
+        self._max_input_audio_s = float(config.get("max_input_audio_s", 10))
+        self._max_output_audio_s = float(config.get("max_output_audio_s", 20))
+        self._request_timeout_s = float(config.get("request_timeout_s", 300))
+        self._t2w_wait_seconds = int(config.get("t2w_wait_seconds", 180))
+        self._retain_workdir = bool(config.get("retain_workdir", False))
+        try:
+            if self._placement not in ("cpu", "radeon-hybrid"):
+                raise ValueError("MiniCPM-o placement must be cpu or radeon-hybrid")
+            if self._placement == "radeon-hybrid" and (
+                config.get("ggml_vk_visible_devices") != "1"
+                or config.get("expected_gpu_name") != "AMD Radeon(TM) 890M Graphics"
+            ):
+                raise ValueError("Radeon stage requires the pinned Vulkan device name and selector")
+            if not (
+                0 < self._max_new_tokens < self._context_tokens
+                and 0 < self._max_input_audio_s <= 30
+                and 0 < self._max_output_audio_s <= 120
+                and 0 < self._max_input_bytes <= 16 << 20
+                and 0 < self._max_wav_bytes <= self._max_work_bytes
+                and 0 < self._max_text_bytes <= self._max_work_bytes
+                and 0 < self._t2w_wait_seconds < self._request_timeout_s <= 3600
+            ):
+                raise ValueError("invalid MiniCPM-o context, media, time or output bound")
+            if self._memory_pool not in reservation.demands:
+                raise ResourceUnavailable("MiniCPM-o shared-RAM pool absent from reservation")
+            demand = int(reservation.demands[self._memory_pool])
+            if psutil.virtual_memory().available < demand:
+                raise ResourceUnavailable("available host/shared RAM below MiniCPM-o reservation")
+            self._model_dir = Path(config["model_dir"]).resolve(strict=True)
+            self._binary = Path(config["cli_bin"]).resolve(strict=True)
+            self._reference_wav = Path(config["reference_wav"]).resolve(strict=True)
+            expected = dict(config["artifact_sha256"])
+            if set(expected) != set(_ARTIFACTS):
+                raise ValueError("MiniCPM-o requires the exact ten-artifact manifest")
+            self._artifacts = {name: self._model_dir / name for name in _ARTIFACTS}
+            for name, path in self._artifacts.items():
+                if not path.is_file() or _sha256(path) != str(expected[name]).lower():
+                    raise ValueError(f"MiniCPM-o GGUF differs from declared hash: {name}")
+            for path, digest in (
+                (self._binary, str(config["cli_sha256"]).lower()),
+                (self._reference_wav, str(config["reference_sha256"]).lower()),
+            ):
+                if _sha256(path) != digest:
+                    raise ValueError(f"MiniCPM-o executable/reference differs: {path.name}")
+            _wav_format(self._reference_wav.read_bytes(), sample_rate=16000,
+                        max_frames=16000 * 10)
+            overhead = int(config["memory_overhead_bytes"])
+            total_weights = sum(path.stat().st_size for path in self._artifacts.values())
+            if overhead <= 0 or total_weights + overhead + self._max_work_bytes > demand:
+                raise ResourceUnavailable("MiniCPM-o weights, state/workspace, I/O and headroom exceed reservation")
+            help_result = subprocess.run(
+                [str(self._binary), "--help"], stdout=subprocess.PIPE,
+                stderr=subprocess.STDOUT, timeout=10, check=True,
+                creationflags=subprocess.CREATE_NO_WINDOW if os.name == "nt" else 0,
+            )
+            if not all(flag in help_result.stdout for flag in (
+                b"--max-new-tokens", b"--t2w-device", b"--t2w-wait-seconds"
+            )):
+                raise ValueError("MiniCPM-o CLI lacks bounded-generation or completion support")
+            self._work_root = Path(config["work_root"]).resolve()
+            self._log_root = Path(config["log_root"]).resolve()
+            self._work_root.mkdir(parents=True, exist_ok=True)
+            self._log_root.mkdir(parents=True, exist_ok=True)
+            self.execution_plan = {
+                "backend": "external.minicpmo.gguf.v1",
+                "stage_id": self.stage_id,
+                "worker_generation": self._generation,
+                "model_revision": str(config["model_revision"]),
+                "artifact_sha256": {key: str(value).lower() for key, value in expected.items()},
+                "cli_sha256": str(config["cli_sha256"]).lower(),
+                "requested_placement": self._placement,
+                "ggml_vk_visible_devices": config.get("ggml_vk_visible_devices"),
+                "shared_ram_reservation": dict(reservation.demands),
+                "weights_bytes": total_weights,
+                "memory_overhead_bytes": overhead,
+                "context_tokens": self._context_tokens,
+                "max_new_tokens": self._max_new_tokens,
+                "request_capacity": 1,
+                "stateful_session": "C++-owned within one request; discarded after completion",
+                "placement_evidence": "pending first request",
+            }
+        except BaseException:
+            self.shutdown()
+            raise
+
+    async def add_request_async(self, request_id: str, prompt: Any, params: Any = None) -> None:
+        self.check_health()
+        if self._active is not None:
+            raise ResourceUnavailable("MiniCPM-o stage has an unacknowledged request; capacity is one")
+        if not isinstance(prompt, dict):
+            raise ValueError("MiniCPM-o request must contain audio_wav and image_jpeg bytes")
+        audio, image = prompt.get("audio_wav"), prompt.get("image_jpeg")
+        if not isinstance(audio, (bytes, bytearray)) or not isinstance(image, (bytes, bytearray)):
+            raise ValueError("MiniCPM-o media must use bounded byte buffers")
+        audio, image = bytes(audio), bytes(image)
+        if not 0 < len(audio) <= self._max_input_bytes or not 0 < len(image) <= self._max_input_bytes:
+            raise ResourceUnavailable("MiniCPM-o input exceeds admitted transfer bound")
+        _wav_format(audio, sample_rate=16000,
+                    max_frames=int(self._max_input_audio_s * 16000))
+        if _jpeg_size(image) != (448, 448):
+            raise ValueError("MiniCPM-o v1 stage accepts only a 448x448 JPEG")
+        self._epoch += 1
+        request = StageRequest(request_id, self.stage_id, self._epoch, self._generation)
+        self._active = request_id
+        self._task = asyncio.create_task(
+            self._run(request, audio, image), name=f"minicpmo-{request_id}"
+        )
+
+    async def _run(self, request: StageRequest, audio: bytes, image: bytes) -> None:
+        try:
+            result = await asyncio.to_thread(self._execute, request, audio, image)
+            samples = np.frombuffer(result["pcm"], dtype="<i2").astype(np.float32) / 32768.0
+            completion = CompletionOutput(0, result["text"], [], None, None, finish_reason="stop")
+            completion.multimodal_output = {"audio": torch.from_numpy(samples), "sr": 24000}
+            event = StageEvent(
+                request.request_id, self.stage_id, request.epoch, 1, "audio",
+                self._generation, terminal=True,
+            )
+            output = OmniRequestOutput(
+                request_id=request.request_id,
+                prompt="[local audio+image]",
+                stage_id=self.stage_id,
+                final_output_type="audio",
+                outputs=[completion],
+                _custom_output={
+                    "stage_event": dataclasses.asdict(event),
+                    "audio_metadata": {
+                        "sample_rate_hz": 24000,
+                        "channels": 1,
+                        "pcm_frames": result["frames"],
+                        "duration_s": result["frames"] / 24000,
+                        "pcm_sha256": hashlib.sha256(result["pcm"]).hexdigest(),
+                    },
+                    "input_sha256": {
+                        "audio": hashlib.sha256(audio).hexdigest(),
+                        "image": hashlib.sha256(image).hexdigest(),
+                    },
+                },
+                metrics={
+                    "minicpmo_whole_request_wall_s": result["wall_s"],
+                    "peak_sampled_rss_bytes": result["peak_rss"],
+                    "worker_log": str(result["log_path"]),
+                },
+            )
+        except asyncio.CancelledError:
+            raise
+        except Exception as exc:
+            output = OmniRequestOutput.from_error(request.request_id, str(exc))
+            output.stage_id = self.stage_id
+        if not self._closed and self._epoch == request.epoch:
+            loop = asyncio.get_running_loop()
+            output._stage_release = lambda: loop.call_soon_threadsafe(
+                self.acknowledge, request.request_id, request.epoch, request.worker_generation
+            )
+            self._output = output
+
+    def _execute(self, request: StageRequest, audio: bytes, image: bytes) -> dict:
+        work_dir = Path(tempfile.mkdtemp(prefix=f"omni-minicpmo-{request.epoch}-", dir=self._work_root))
+        if not work_dir.resolve().is_relative_to(self._work_root):
+            raise RuntimeError("MiniCPM-o work directory escaped its declared root")
+        log_path = self._log_root / f"minicpmo-{request.epoch}-{uuid.uuid4().hex}.log"
+        started = time.perf_counter()
+        peak_rss = 0
+        try:
+            shutil.copyfile(self._reference_wav, work_dir / "fixture_0000.wav")
+            (work_dir / "fixture_0001.wav").write_bytes(audio)
+            (work_dir / "fixture_0001.jpg").write_bytes(image)
+            command = [
+                str(self._binary), "-m", str(self._artifacts[_ARTIFACTS[0]]),
+                "-ngl", "0" if self._placement == "cpu" else "99",
+                "-c", str(self._context_tokens),
+                "--max-new-tokens", str(self._max_new_tokens),
+                "--omni", "--t2w-device", "cpu",
+                "--t2w-wait-seconds", str(self._t2w_wait_seconds),
+                "--ref-audio", str(self._reference_wav),
+                "--test", str(work_dir / "fixture_"), "2",
+            ]
+            env = os.environ.copy()
+            env["GGML_VK_VISIBLE_DEVICES"] = (
+                "" if self._placement == "cpu" else "1"
+            )
+            with log_path.open("wb") as log:
+                with self._lock:
+                    if self._closed or self._epoch != request.epoch:
+                        raise RuntimeError("MiniCPM-o request was cancelled before launch")
+                    self._proc = subprocess.Popen(
+                        command, cwd=work_dir, stdout=log, stderr=subprocess.STDOUT,
+                        env=env,
+                        creationflags=subprocess.CREATE_NO_WINDOW if os.name == "nt" else 0,
+                    )
+                    proc = self._proc
+                process = psutil.Process(proc.pid)
+                deadline = time.monotonic() + self._request_timeout_s
+                while proc.poll() is None:
+                    if time.monotonic() >= deadline:
+                        self._kill_process(proc)
+                        raise TimeoutError("MiniCPM-o complete request timed out")
+                    if log_path.stat().st_size + _tree_bytes(work_dir) > self._max_work_bytes:
+                        self._kill_process(proc)
+                        raise ResourceUnavailable("MiniCPM-o worker exceeded admitted file/I/O bound")
+                    try:
+                        peak_rss = max(peak_rss, process.memory_info().rss)
+                    except psutil.NoSuchProcess:
+                        pass
+                    if peak_rss > self._reservation.demands[self._memory_pool]:
+                        self._kill_process(proc)
+                        raise ResourceUnavailable("MiniCPM-o worker RSS exceeded shared-RAM reservation")
+                    try:
+                        proc.wait(timeout=0.1)
+                    except subprocess.TimeoutExpired:
+                        pass
+                if proc.returncode != 0:
+                    raise RuntimeError(f"MiniCPM-o CLI exited {proc.returncode}; see {log_path}")
+            log_text = log_path.read_text(encoding="utf-8", errors="replace")
+            if self._placement == "cpu":
+                required = (
+                    "GPU layers: 0", "vision_ctx: vision using CPU backend",
+                    "Token2Wav device: cpu",
+                )
+            else:
+                required = (
+                    "GPU layers: 99",
+                    "using device Vulkan0 (AMD Radeon(TM) 890M Graphics)",
+                    "offloaded 37/37 layers to GPU",
+                    "vision_ctx: vision using Vulkan0 backend",
+                    "TTS model: loading with n_gpu_layers=0",
+                    "Token2Wav: non-CUDA backend, vocoder using CPU",
+                )
+            if any(item not in log_text for item in required):
+                raise RuntimeError("REFUSE_DEVICE_PLACEMENT: MiniCPM-o did not use declared CPU/Radeon route")
+            if not all(item in log_text for item in (
+                "stream_prefill(index=1): processing user audio:",
+                "stream_prefill: prefilled 1 vision chunks",
+                "Audio generation completed.",
+            )):
+                raise RuntimeError("MiniCPM-o complete input/output path not observed")
+            text, pcm, frames = _read_result(
+                work_dir, self._max_output_audio_s,
+                self._max_wav_bytes, self._max_text_bytes,
+            )
+            self.execution_plan["placement_evidence"] = {
+                "observed": self._placement,
+                "worker_pid": proc.pid,
+                "peak_sampled_rss_bytes": peak_rss,
+                "worker_log": str(log_path),
+            }
+            return {
+                "text": text, "pcm": pcm, "frames": frames,
+                "peak_rss": peak_rss, "wall_s": time.perf_counter() - started,
+                "log_path": log_path,
+            }
+        finally:
+            with self._lock:
+                proc = self._proc
+            if proc is not None:
+                self._kill_process(proc)
+                with self._lock:
+                    if self._proc is proc:
+                        self._proc = None
+            if not self._retain_workdir:
+                if not work_dir.resolve().is_relative_to(self._work_root):
+                    raise RuntimeError("refusing cleanup outside MiniCPM-o work root")
+                shutil.rmtree(work_dir)
+
+    @staticmethod
+    def _kill_process(proc: subprocess.Popen) -> bool:
+        try:
+            if proc.poll() is None:
+                proc.terminate()
+                try:
+                    proc.wait(timeout=5)
+                except subprocess.TimeoutExpired:
+                    proc.kill()
+                    proc.wait(timeout=5)
+        except OSError:
+            return False
+        return proc.poll() is not None
+
+    def get_graph_output_nowait(self) -> OmniRequestOutput | None:
+        output, self._output = self._output, None
+        return output
+
+    def acknowledge(self, request_id: str, epoch: int, generation: str) -> None:
+        if (
+            self._active == request_id and epoch == self._epoch
+            and generation == self._generation
+            and (self._task is None or self._task.done())
+        ):
+            self._active = None
+            self._task = None
+
+    async def abort_requests_async(self, request_ids: list[str]) -> None:
+        if self._active not in request_ids:
+            return
+        self._epoch += 1
+        self._output = None
+        with self._lock:
+            self._closed = True
+            proc = self._proc
+        drained = await asyncio.to_thread(self._kill_process, proc) if proc else True
+        if self._task is not None and not self._task.done():
+            done, _ = await asyncio.wait({self._task}, timeout=5)
+            if done:
+                self._ledger.release(self._reservation, drained=drained)
+            else:
+                self._ledger.release(self._reservation, drained=False)
+                self._task.add_done_callback(
+                    lambda task: self._ledger.release(
+                        self._reservation, drained=drained and not task.cancelled()
+                    )
+                )
+        self._active = None
+
+    def check_health(self) -> None:
+        if self._closed:
+            from vllm.v1.engine.exceptions import EngineDeadError
+
+            raise EngineDeadError()
+
+    async def collective_rpc_async(self, method, timeout=None, args=(), kwargs=None):
+        raise NotImplementedError(f"MiniCPM-o backend does not implement collective RPC {method}")
+
+    def shutdown(self) -> None:
+        with self._lock:
+            self._closed = True
+            proc = self._proc
+        drained = self._kill_process(proc) if proc else True
+        self._output = None
+        task = self._task
+        if task is not None and not task.done():
+            self._ledger.release(self._reservation, drained=False)
+            task.add_done_callback(
+                lambda done: self._ledger.release(
+                    self._reservation, drained=drained and not done.cancelled()
+                )
+            )
+        else:
+            self._ledger.release(self._reservation, drained=drained)
diff --git a/vllm_omni/model_executor/models/minicpmo_4_5/pipeline.py b/vllm_omni/model_executor/models/minicpmo_4_5/pipeline.py
index 0ca61a346..e05d1a870 100644
--- a/vllm_omni/model_executor/models/minicpmo_4_5/pipeline.py
+++ b/vllm_omni/model_executor/models/minicpmo_4_5/pipeline.py
@@ -87,3 +87,21 @@ MINICPMO_4_5_PIPELINE = PipelineConfig(
         ),
     ),
 )
+
+
+# The GGUF C++ worker owns the complete autoregressive/vision/audio/TTS session.
+# This is a separate whole-session deployment of MiniCPM-o, not a replacement
+# for the three-stage vLLM checkpoint above. Omni's graph path controls one
+# bounded request, resource reservation and terminal audio acknowledgement.
+MINICPMO_4_5_GGUF_WHOLE_PIPELINE = PipelineConfig(
+    model_type="minicpmo_4_5_gguf_whole",
+    stages=(
+        StagePipelineConfig(
+            stage_id=0,
+            model_stage="audio",
+            execution_type=StageExecutionType.GRAPH,
+            final_output=True,
+            final_output_type="audio",
+        ),
+    ),
+)