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The Copilot API returns HTTP 400 "model_not_supported" when it receives a
model ID it doesn't recognize (vendor-prefixed like
`anthropic/claude-sonnet-4.6` or dash-notation like `claude-sonnet-4-6`).
Two bugs combined to leave both formats unhandled:
1. `_COPILOT_MODEL_ALIASES` in hermes_cli/models.py only covered bare
dot-notation and vendor-prefixed dot-notation. Hermes' default Claude
IDs elsewhere use hyphens (anthropic native format), and users with an
aggregator-style config who switch `model.provider` to `copilot`
inherit `anthropic/claude-X-4.6` — neither case was in the table.
2. The Copilot branch of `normalize_model_for_provider()` only stripped
the vendor prefix when it matched the target provider (`copilot/`) or
was the special-cased `openai/` for openai-codex. Every other vendor
prefix survived to the Copilot request unchanged.
Fix:
- Add dash-notation aliases (`claude-{opus,sonnet,haiku}-4-{5,6}` and the
`anthropic/`-prefixed variants) to the alias table.
- Rewire the Copilot / Copilot-ACP branch of
`normalize_model_for_provider()` to delegate to the existing
`normalize_copilot_model_id()`. That function already does alias
lookups, catalog-aware resolution, and vendor-prefix fallback — it was
being bypassed for the generic normalisation entry point.
Because `switch_model()` already calls `normalize_model_for_provider()`
for every `/model` switch (line 685 in model_switch.py), this single fix
covers the CLI startup path (cli.py), the `/model` slash command path,
and the gateway load-from-config path.
Closes #6879
Credits dsr-restyn (#6743) who independently diagnosed the dash-notation
case; their aliases are folded into this consolidated fix alongside the
vendor-prefix stripping repair.
193 lines
8.3 KiB
Python
193 lines
8.3 KiB
Python
"""Tests for hermes_cli.model_normalize — provider-aware model name normalization.
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Covers issue #5211: opencode-go model names with dots (e.g. minimax-m2.7)
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must NOT be mangled to hyphens (minimax-m2-7).
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"""
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import pytest
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from hermes_cli.model_normalize import (
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normalize_model_for_provider,
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_DOT_TO_HYPHEN_PROVIDERS,
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_AGGREGATOR_PROVIDERS,
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detect_vendor,
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)
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# ── Regression: issue #5211 ────────────────────────────────────────────
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class TestIssue5211OpenCodeGoDotPreservation:
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"""OpenCode Go model names with dots must pass through unchanged."""
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@pytest.mark.parametrize("model,expected", [
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("minimax-m2.7", "minimax-m2.7"),
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("minimax-m2.5", "minimax-m2.5"),
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("glm-4.5", "glm-4.5"),
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("kimi-k2.5", "kimi-k2.5"),
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("some-model-1.0.3", "some-model-1.0.3"),
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])
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def test_opencode_go_preserves_dots(self, model, expected):
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result = normalize_model_for_provider(model, "opencode-go")
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assert result == expected, f"Expected {expected!r}, got {result!r}"
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def test_opencode_go_not_in_dot_to_hyphen_set(self):
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"""opencode-go must NOT be in the dot-to-hyphen provider set."""
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assert "opencode-go" not in _DOT_TO_HYPHEN_PROVIDERS
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# ── Anthropic dot-to-hyphen conversion (regression) ────────────────────
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class TestAnthropicDotToHyphen:
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"""Anthropic API still needs dots→hyphens."""
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@pytest.mark.parametrize("model,expected", [
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("claude-sonnet-4.6", "claude-sonnet-4-6"),
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("claude-opus-4.5", "claude-opus-4-5"),
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])
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def test_anthropic_converts_dots(self, model, expected):
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result = normalize_model_for_provider(model, "anthropic")
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assert result == expected
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def test_anthropic_strips_vendor_prefix(self):
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result = normalize_model_for_provider("anthropic/claude-sonnet-4.6", "anthropic")
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assert result == "claude-sonnet-4-6"
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# ── OpenCode Zen regression ────────────────────────────────────────────
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class TestOpenCodeZenModelNormalization:
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"""OpenCode Zen preserves dots for most models, but Claude stays hyphenated."""
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@pytest.mark.parametrize("model,expected", [
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("claude-sonnet-4.6", "claude-sonnet-4-6"),
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("opencode-zen/claude-opus-4.5", "claude-opus-4-5"),
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("glm-4.5", "glm-4.5"),
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("glm-5.1", "glm-5.1"),
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("gpt-5.4", "gpt-5.4"),
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("minimax-m2.5-free", "minimax-m2.5-free"),
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("kimi-k2.5", "kimi-k2.5"),
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])
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def test_zen_normalizes_models(self, model, expected):
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result = normalize_model_for_provider(model, "opencode-zen")
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assert result == expected
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def test_zen_strips_vendor_prefix(self):
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result = normalize_model_for_provider("opencode-zen/claude-sonnet-4.6", "opencode-zen")
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assert result == "claude-sonnet-4-6"
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def test_zen_strips_vendor_prefix_for_non_claude(self):
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result = normalize_model_for_provider("opencode-zen/glm-5.1", "opencode-zen")
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assert result == "glm-5.1"
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# ── Copilot dot preservation (regression) ──────────────────────────────
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class TestCopilotDotPreservation:
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"""Copilot preserves dots in model names."""
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@pytest.mark.parametrize("model,expected", [
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("claude-sonnet-4.6", "claude-sonnet-4.6"),
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("gpt-5.4", "gpt-5.4"),
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])
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def test_copilot_preserves_dots(self, model, expected):
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result = normalize_model_for_provider(model, "copilot")
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assert result == expected
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# ── Copilot model-name normalization (issue #6879 regression) ──────────
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class TestCopilotModelNormalization:
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"""Copilot requires bare dot-notation model IDs.
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Regression coverage for issue #6879 and the broken Copilot branch
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that previously left vendor-prefixed Anthropic IDs (e.g.
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``anthropic/claude-sonnet-4.6``) and dash-notation Claude IDs (e.g.
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``claude-sonnet-4-6``) unchanged, causing the Copilot API to reject
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the request with HTTP 400 "model_not_supported".
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"""
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@pytest.mark.parametrize("model,expected", [
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# Vendor-prefixed Anthropic IDs — prefix must be stripped.
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("anthropic/claude-opus-4.6", "claude-opus-4.6"),
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("anthropic/claude-sonnet-4.6", "claude-sonnet-4.6"),
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("anthropic/claude-sonnet-4.5", "claude-sonnet-4.5"),
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("anthropic/claude-haiku-4.5", "claude-haiku-4.5"),
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# Vendor-prefixed OpenAI IDs — prefix must be stripped.
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("openai/gpt-5.4", "gpt-5.4"),
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("openai/gpt-4o", "gpt-4o"),
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("openai/gpt-4o-mini", "gpt-4o-mini"),
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# Dash-notation Claude IDs — must be converted to dot-notation.
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("claude-opus-4-6", "claude-opus-4.6"),
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("claude-sonnet-4-6", "claude-sonnet-4.6"),
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("claude-sonnet-4-5", "claude-sonnet-4.5"),
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("claude-haiku-4-5", "claude-haiku-4.5"),
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# Combined: vendor-prefixed + dash-notation.
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("anthropic/claude-opus-4-6", "claude-opus-4.6"),
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("anthropic/claude-sonnet-4-6", "claude-sonnet-4.6"),
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# Already-canonical inputs pass through unchanged.
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("claude-sonnet-4.6", "claude-sonnet-4.6"),
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("gpt-5.4", "gpt-5.4"),
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("gpt-5-mini", "gpt-5-mini"),
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])
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def test_copilot_normalization(self, model, expected):
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assert normalize_model_for_provider(model, "copilot") == expected
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@pytest.mark.parametrize("model,expected", [
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("anthropic/claude-sonnet-4.6", "claude-sonnet-4.6"),
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("claude-sonnet-4-6", "claude-sonnet-4.6"),
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("claude-opus-4-6", "claude-opus-4.6"),
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("openai/gpt-5.4", "gpt-5.4"),
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])
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def test_copilot_acp_normalization(self, model, expected):
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"""Copilot ACP shares the same API expectations as HTTP Copilot."""
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assert normalize_model_for_provider(model, "copilot-acp") == expected
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def test_openai_codex_still_strips_openai_prefix(self):
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"""Regression: openai-codex must still strip the openai/ prefix."""
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assert normalize_model_for_provider("openai/gpt-5.4", "openai-codex") == "gpt-5.4"
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# ── Aggregator providers (regression) ──────────────────────────────────
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class TestAggregatorProviders:
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"""Aggregators need vendor/model slugs."""
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def test_openrouter_prepends_vendor(self):
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result = normalize_model_for_provider("claude-sonnet-4.6", "openrouter")
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assert result == "anthropic/claude-sonnet-4.6"
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def test_nous_prepends_vendor(self):
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result = normalize_model_for_provider("gpt-5.4", "nous")
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assert result == "openai/gpt-5.4"
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def test_vendor_already_present(self):
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result = normalize_model_for_provider("anthropic/claude-sonnet-4.6", "openrouter")
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assert result == "anthropic/claude-sonnet-4.6"
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class TestIssue6211NativeProviderPrefixNormalization:
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@pytest.mark.parametrize("model,target_provider,expected", [
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("zai/glm-5.1", "zai", "glm-5.1"),
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("google/gemini-2.5-pro", "gemini", "google/gemini-2.5-pro"),
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("moonshot/kimi-k2.5", "kimi-coding", "kimi-k2.5"),
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("anthropic/claude-sonnet-4.6", "openrouter", "anthropic/claude-sonnet-4.6"),
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("Qwen/Qwen3.5-397B-A17B", "huggingface", "Qwen/Qwen3.5-397B-A17B"),
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("modal/zai-org/GLM-5-FP8", "custom", "modal/zai-org/GLM-5-FP8"),
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])
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def test_native_provider_prefixes_are_only_stripped_on_matching_provider(
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self, model, target_provider, expected
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):
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assert normalize_model_for_provider(model, target_provider) == expected
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# ── detect_vendor ──────────────────────────────────────────────────────
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class TestDetectVendor:
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@pytest.mark.parametrize("model,expected", [
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("claude-sonnet-4.6", "anthropic"),
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("gpt-5.4-mini", "openai"),
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("minimax-m2.7", "minimax"),
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("glm-4.5", "z-ai"),
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("kimi-k2.5", "moonshotai"),
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])
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def test_detects_known_vendors(self, model, expected):
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assert detect_vendor(model) == expected
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