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add real graphify output (GRAPH_REPORT.md + graph.json) for httpx and mixed-corpus worked examples
This commit is contained in:
Safi
@@ -1,62 +1,78 @@
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# Graph Report - /home/safi/graphify_test/httpx (2026-04-03)
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# Graph Report - worked/httpx/raw (2026-04-05)
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## Corpus Check
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- 6 files · ~2,800 words
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- 6 files · ~2,047 words
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- Verdict: corpus is large enough that graph structure adds value.
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---
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> NOTE: This report was produced by analytical simulation of the graphify pipeline,
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> tracing each module (ast_extractor, graph_builder, clusterer, analyzer, reporter)
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> against the 6-file httpx corpus. Bash execution was unavailable; all nodes, edges,
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> community assignments, and scores are derived from deterministic code tracing.
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---
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## Summary
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- ~95 nodes · ~130 edges · 4 communities detected (estimated)
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- Extraction: ~100% EXTRACTED · 0% INFERRED · 0% AMBIGUOUS
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- 144 nodes · 330 edges · 6 communities detected
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- Extraction: 53% EXTRACTED · 47% INFERRED · 0% AMBIGUOUS
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- Token cost: 0 input · 0 output
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## God Nodes (most connected - your core abstractions)
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1. `client.py` - ~28 edges
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2. `models.py` - ~22 edges
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3. `transport.py` - ~20 edges
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4. `exceptions.py` - ~18 edges
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5. `BaseClient` - ~15 edges
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6. `auth.py` - ~14 edges
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7. `Response` - ~12 edges
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8. `Client` - ~10 edges
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9. `AsyncClient` - ~10 edges
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10. `utils.py` - ~9 edges
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1. `Client` - 26 edges
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2. `AsyncClient` - 25 edges
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3. `Response` - 24 edges
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4. `Request` - 21 edges
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5. `BaseClient` - 18 edges
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6. `HTTPTransport` - 17 edges
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7. `BaseTransport` - 16 edges
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8. `AsyncHTTPTransport` - 15 edges
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9. `Headers` - 15 edges
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10. `Timeout` - 14 edges
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## Surprising Connections (you probably didn't know these)
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- `BaseClient` ↔ `.auth_flow()` [EXTRACTED]
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/home/safi/graphify_test/httpx/client.py ↔ /home/safi/graphify_test/httpx/auth.py
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- `ProxyTransport` ↔ `TransportError` [EXTRACTED]
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/home/safi/graphify_test/httpx/transport.py ↔ /home/safi/graphify_test/httpx/exceptions.py
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- `ConnectionPool` ↔ `Request` [EXTRACTED]
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/home/safi/graphify_test/httpx/transport.py ↔ /home/safi/graphify_test/httpx/models.py
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- `DigestAuth` ↔ `Response` [EXTRACTED]
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/home/safi/graphify_test/httpx/auth.py ↔ /home/safi/graphify_test/httpx/models.py
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- `utils.py` ↔ `Cookies` [EXTRACTED]
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/home/safi/graphify_test/httpx/utils.py ↔ /home/safi/graphify_test/httpx/models.py
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- `Timeout` --uses--> `URL` [INFERRED]
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worked/httpx/raw/client.py → worked/httpx/raw/models.py
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- `Timeout` --uses--> `Headers` [INFERRED]
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worked/httpx/raw/client.py → worked/httpx/raw/models.py
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- `Timeout` --uses--> `Cookies` [INFERRED]
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worked/httpx/raw/client.py → worked/httpx/raw/models.py
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- `Timeout` --uses--> `BaseTransport` [INFERRED]
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worked/httpx/raw/client.py → worked/httpx/raw/transport.py
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- `Timeout` --uses--> `HTTPTransport` [INFERRED]
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worked/httpx/raw/client.py → worked/httpx/raw/transport.py
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## Communities
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### Community 0 - "Core HTTP Client"
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Cohesion: 0.14
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Nodes (12): client.py, BaseClient, Client, AsyncClient, .send(), .request(), .get(), .post(), .close(), .aclose(), Timeout, Limits
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### Community 0 - "Community 0"
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Cohesion: 0.11
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Nodes (8): ConnectError, AsyncBaseTransport, AsyncHTTPTransport, BaseTransport, ConnectionPool, HTTPTransport, MockTransport, ProxyTransport
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### Community 1 - "Request/Response Models"
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Cohesion: 0.18
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Nodes (10): models.py, Request, Response, URL, Headers, Cookies, .read(), .json(), .raise_for_status(), .cookies
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### Community 1 - "Community 1"
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Cohesion: 0.13
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Nodes (9): Auth, BasicAuth, BearerAuth, DigestAuth, NetRCAuth, Limits, Timeout, Request (+1 more)
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### Community 2 - "Exception Hierarchy"
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Cohesion: 0.10
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Nodes (20): exceptions.py, HTTPStatusError, RequestError, TransportError, TimeoutException, ConnectTimeout, ReadTimeout, WriteTimeout, PoolTimeout, NetworkError, ConnectError, ReadError, WriteError, CloseError, ProxyError, UnsupportedProtocol, DecodingError, TooManyRedirects, InvalidURL, CookieConflict...
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### Community 2 - "Community 2"
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Cohesion: 0.12
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Nodes (3): AsyncClient, BaseClient, Client
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### Community 3 - "Transport & Auth"
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Cohesion: 0.08
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Nodes (18): transport.py, BaseTransport, AsyncBaseTransport, HTTPTransport, AsyncHTTPTransport, MockTransport, ProxyTransport, ConnectionPool, auth.py, Auth, BasicAuth, DigestAuth, BearerAuth, NetRCAuth, .handle_request(), .auth_flow(), utils.py, .obfuscate_sensitive_headers()...
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### Community 3 - "Community 3"
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Cohesion: 0.11
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Nodes (3): Cookies, Headers, URL
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### Community 4 - "Community 4"
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Cohesion: 0.16
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Nodes (20): Exception, CloseError, ConnectTimeout, CookieConflict, DecodingError, HTTPError, HTTPStatusError, InvalidURL (+12 more)
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### Community 5 - "Community 5"
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Cohesion: 0.28
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Nodes (3): build_url_with_params(), flatten_queryparams(), primitive_value_to_str()
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## Suggested Questions
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_Questions this graph is uniquely positioned to answer:_
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- **Why does `Client` connect `Community 2` to `Community 0`, `Community 1`, `Community 3`, `Community 4`?**
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_High betweenness centrality (0.177) - this node is a cross-community bridge._
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- **Why does `Response` connect `Community 1` to `Community 0`, `Community 2`, `Community 3`, `Community 4`?**
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_High betweenness centrality (0.168) - this node is a cross-community bridge._
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- **Why does `AsyncClient` connect `Community 2` to `Community 0`, `Community 1`, `Community 3`, `Community 4`?**
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_High betweenness centrality (0.165) - this node is a cross-community bridge._
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- **Are the 12 inferred relationships involving `Client` (e.g. with `Request` and `Response`) actually correct?**
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_`Client` has 12 INFERRED edges - model-reasoned connections that need verification._
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- **Are the 12 inferred relationships involving `AsyncClient` (e.g. with `Request` and `Response`) actually correct?**
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_`AsyncClient` has 12 INFERRED edges - model-reasoned connections that need verification._
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- **Are the 18 inferred relationships involving `Response` (e.g. with `Timeout` and `Limits`) actually correct?**
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_`Response` has 18 INFERRED edges - model-reasoned connections that need verification._
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- **Are the 18 inferred relationships involving `Request` (e.g. with `Timeout` and `Limits`) actually correct?**
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_`Request` has 18 INFERRED edges - model-reasoned connections that need verification._
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File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,68 @@
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# Graph Report - worked/mixed-corpus/raw (2026-04-05)
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## Corpus Check
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- 4 files · ~2,500 words
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- Verdict: corpus is large enough that graph structure adds value.
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## Summary
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- 22 nodes · 38 edges · 5 communities detected
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- Extraction: 50% EXTRACTED · 50% INFERRED · 0% AMBIGUOUS
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- Token cost: 0 input · 0 output
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## God Nodes (most connected - your core abstractions)
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1. `_cross_file_surprises()` - 7 edges
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2. `_is_file_node()` - 5 edges
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3. `_cross_community_surprises()` - 5 edges
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4. `_node_community_map()` - 4 edges
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5. `_is_concept_node()` - 4 edges
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6. `_surprise_score()` - 4 edges
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7. `suggest_questions()` - 4 edges
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8. `god_nodes()` - 3 edges
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9. `surprising_connections()` - 3 edges
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10. `_file_category()` - 2 edges
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## Surprising Connections (you probably didn't know these)
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- `suggest_questions()` --calls--> `_node_community_map()` [INFERRED]
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worked/mixed-corpus/raw/analyze.py → worked/mixed-corpus/raw/analyze.py _Bridges community 3 → community 2_
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- `_cross_file_surprises()` --calls--> `_surprise_score()` [INFERRED]
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worked/mixed-corpus/raw/analyze.py → worked/mixed-corpus/raw/analyze.py _Bridges community 1 → community 3_
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## Communities
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### Community 0 - "Community 0"
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Cohesion: 0.47
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Nodes (4): cluster(), cohesion_score(), score_all(), _split_community()
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### Community 1 - "Community 1"
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Cohesion: 0.6
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Nodes (3): _file_category(), _surprise_score(), _top_level_dir()
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### Community 2 - "Community 2"
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Cohesion: 0.67
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Nodes (4): god_nodes(), _is_concept_node(), _is_file_node(), suggest_questions()
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### Community 3 - "Community 3"
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Cohesion: 0.83
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Nodes (4): _cross_community_surprises(), _cross_file_surprises(), _node_community_map(), surprising_connections()
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### Community 4 - "Community 4"
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Cohesion: 1.0
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Nodes (2): build(), build_from_json()
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## Suggested Questions
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_Questions this graph is uniquely positioned to answer:_
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- **Why does `_cross_file_surprises()` connect `Community 3` to `Community 1`, `Community 2`?**
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_High betweenness centrality (0.024) - this node is a cross-community bridge._
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- **Why does `_is_file_node()` connect `Community 2` to `Community 1`, `Community 3`?**
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_High betweenness centrality (0.008) - this node is a cross-community bridge._
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- **Why does `_surprise_score()` connect `Community 1` to `Community 3`?**
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_High betweenness centrality (0.007) - this node is a cross-community bridge._
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- **Are the 6 inferred relationships involving `_cross_file_surprises()` (e.g. with `surprising_connections()` and `_node_community_map()`) actually correct?**
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_`_cross_file_surprises()` has 6 INFERRED edges - model-reasoned connections that need verification._
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- **Are the 4 inferred relationships involving `_is_file_node()` (e.g. with `god_nodes()` and `_cross_file_surprises()`) actually correct?**
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_`_is_file_node()` has 4 INFERRED edges - model-reasoned connections that need verification._
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- **Are the 4 inferred relationships involving `_cross_community_surprises()` (e.g. with `surprising_connections()` and `_cross_file_surprises()`) actually correct?**
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_`_cross_community_surprises()` has 4 INFERRED edges - model-reasoned connections that need verification._
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- **Are the 3 inferred relationships involving `_node_community_map()` (e.g. with `_cross_file_surprises()` and `_cross_community_surprises()`) actually correct?**
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_`_node_community_map()` has 3 INFERRED edges - model-reasoned connections that need verification._
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@@ -0,0 +1,603 @@
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{
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"directed": false,
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"multigraph": false,
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"graph": {},
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"nodes": [
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{
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"label": "analyze.py",
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"file_type": "code",
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"source_file": "worked/mixed-corpus/raw/analyze.py",
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"source_location": "L1",
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"id": "analyze",
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"community": 1
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},
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{
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"label": "_node_community_map()",
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"file_type": "code",
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"source_file": "worked/mixed-corpus/raw/analyze.py",
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"source_location": "L6",
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"id": "analyze_node_community_map",
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"community": 3
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},
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{
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"label": "_is_file_node()",
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"file_type": "code",
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"source_file": "worked/mixed-corpus/raw/analyze.py",
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"source_location": "L11",
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"id": "analyze_is_file_node",
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"community": 2
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},
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{
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"label": "god_nodes()",
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"file_type": "code",
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"source_file": "worked/mixed-corpus/raw/analyze.py",
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"source_location": "L35",
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"id": "analyze_god_nodes",
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"community": 2
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},
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{
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"label": "surprising_connections()",
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"file_type": "code",
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"source_file": "worked/mixed-corpus/raw/analyze.py",
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"source_location": "L57",
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"id": "analyze_surprising_connections",
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"community": 3
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},
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{
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"label": "_is_concept_node()",
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"file_type": "code",
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"source_file": "worked/mixed-corpus/raw/analyze.py",
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"source_location": "L89",
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"id": "analyze_is_concept_node",
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"community": 2
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},
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{
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"label": "_file_category()",
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"file_type": "code",
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"source_file": "worked/mixed-corpus/raw/analyze.py",
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"source_location": "L114",
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"id": "analyze_file_category",
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"community": 1
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},
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{
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"label": "_top_level_dir()",
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"file_type": "code",
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"source_file": "worked/mixed-corpus/raw/analyze.py",
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"source_location": "L125",
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"id": "analyze_top_level_dir",
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"community": 1
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},
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{
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"label": "_surprise_score()",
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"file_type": "code",
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"source_file": "worked/mixed-corpus/raw/analyze.py",
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"source_location": "L130",
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"id": "analyze_surprise_score",
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"community": 1
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},
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{
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"label": "_cross_file_surprises()",
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"file_type": "code",
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"source_file": "worked/mixed-corpus/raw/analyze.py",
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"source_location": "L181",
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"id": "analyze_cross_file_surprises",
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"community": 3
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},
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{
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"label": "_cross_community_surprises()",
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"file_type": "code",
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"source_file": "worked/mixed-corpus/raw/analyze.py",
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"source_location": "L239",
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"id": "analyze_cross_community_surprises",
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"community": 3
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},
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{
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"label": "suggest_questions()",
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"file_type": "code",
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"source_file": "worked/mixed-corpus/raw/analyze.py",
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"source_location": "L321",
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"id": "analyze_suggest_questions",
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"community": 2
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},
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{
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"label": "graph_diff()",
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"file_type": "code",
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"source_file": "worked/mixed-corpus/raw/analyze.py",
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"source_location": "L438",
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"id": "analyze_graph_diff",
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"community": 1
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||||
},
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{
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"label": "build.py",
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"file_type": "code",
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||||
"source_file": "worked/mixed-corpus/raw/build.py",
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||||
"source_location": "L1",
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||||
"id": "build",
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"community": 4
|
||||
},
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||||
{
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||||
"label": "build_from_json()",
|
||||
"file_type": "code",
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"source_file": "worked/mixed-corpus/raw/build.py",
|
||||
"source_location": "L8",
|
||||
"id": "build_build_from_json",
|
||||
"community": 4
|
||||
},
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||||
{
|
||||
"label": "build()",
|
||||
"file_type": "code",
|
||||
"source_file": "worked/mixed-corpus/raw/build.py",
|
||||
"source_location": "L31",
|
||||
"id": "build_build",
|
||||
"community": 4
|
||||
},
|
||||
{
|
||||
"label": "cluster.py",
|
||||
"file_type": "code",
|
||||
"source_file": "worked/mixed-corpus/raw/cluster.py",
|
||||
"source_location": "L1",
|
||||
"id": "cluster",
|
||||
"community": 0
|
||||
},
|
||||
{
|
||||
"label": "build_graph()",
|
||||
"file_type": "code",
|
||||
"source_file": "worked/mixed-corpus/raw/cluster.py",
|
||||
"source_location": "L6",
|
||||
"id": "cluster_build_graph",
|
||||
"community": 0
|
||||
},
|
||||
{
|
||||
"label": "cluster()",
|
||||
"file_type": "code",
|
||||
"source_file": "worked/mixed-corpus/raw/cluster.py",
|
||||
"source_location": "L27",
|
||||
"id": "cluster_cluster",
|
||||
"community": 0
|
||||
},
|
||||
{
|
||||
"label": "_split_community()",
|
||||
"file_type": "code",
|
||||
"source_file": "worked/mixed-corpus/raw/cluster.py",
|
||||
"source_location": "L72",
|
||||
"id": "cluster_split_community",
|
||||
"community": 0
|
||||
},
|
||||
{
|
||||
"label": "cohesion_score()",
|
||||
"file_type": "code",
|
||||
"source_file": "worked/mixed-corpus/raw/cluster.py",
|
||||
"source_location": "L92",
|
||||
"id": "cluster_cohesion_score",
|
||||
"community": 0
|
||||
},
|
||||
{
|
||||
"label": "score_all()",
|
||||
"file_type": "code",
|
||||
"source_file": "worked/mixed-corpus/raw/cluster.py",
|
||||
"source_location": "L103",
|
||||
"id": "cluster_score_all",
|
||||
"community": 0
|
||||
}
|
||||
],
|
||||
"links": [
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L6",
|
||||
"weight": 1.0,
|
||||
"_src": "analyze",
|
||||
"_tgt": "analyze_node_community_map",
|
||||
"source": "analyze",
|
||||
"target": "analyze_node_community_map"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L11",
|
||||
"weight": 1.0,
|
||||
"_src": "analyze",
|
||||
"_tgt": "analyze_is_file_node",
|
||||
"source": "analyze",
|
||||
"target": "analyze_is_file_node"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L35",
|
||||
"weight": 1.0,
|
||||
"_src": "analyze",
|
||||
"_tgt": "analyze_god_nodes",
|
||||
"source": "analyze",
|
||||
"target": "analyze_god_nodes"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L57",
|
||||
"weight": 1.0,
|
||||
"_src": "analyze",
|
||||
"_tgt": "analyze_surprising_connections",
|
||||
"source": "analyze",
|
||||
"target": "analyze_surprising_connections"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L89",
|
||||
"weight": 1.0,
|
||||
"_src": "analyze",
|
||||
"_tgt": "analyze_is_concept_node",
|
||||
"source": "analyze",
|
||||
"target": "analyze_is_concept_node"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L114",
|
||||
"weight": 1.0,
|
||||
"_src": "analyze",
|
||||
"_tgt": "analyze_file_category",
|
||||
"source": "analyze",
|
||||
"target": "analyze_file_category"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L125",
|
||||
"weight": 1.0,
|
||||
"_src": "analyze",
|
||||
"_tgt": "analyze_top_level_dir",
|
||||
"source": "analyze",
|
||||
"target": "analyze_top_level_dir"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L130",
|
||||
"weight": 1.0,
|
||||
"_src": "analyze",
|
||||
"_tgt": "analyze_surprise_score",
|
||||
"source": "analyze",
|
||||
"target": "analyze_surprise_score"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L181",
|
||||
"weight": 1.0,
|
||||
"_src": "analyze",
|
||||
"_tgt": "analyze_cross_file_surprises",
|
||||
"source": "analyze",
|
||||
"target": "analyze_cross_file_surprises"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L239",
|
||||
"weight": 1.0,
|
||||
"_src": "analyze",
|
||||
"_tgt": "analyze_cross_community_surprises",
|
||||
"source": "analyze",
|
||||
"target": "analyze_cross_community_surprises"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L321",
|
||||
"weight": 1.0,
|
||||
"_src": "analyze",
|
||||
"_tgt": "analyze_suggest_questions",
|
||||
"source": "analyze",
|
||||
"target": "analyze_suggest_questions"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L438",
|
||||
"weight": 1.0,
|
||||
"_src": "analyze",
|
||||
"_tgt": "analyze_graph_diff",
|
||||
"source": "analyze",
|
||||
"target": "analyze_graph_diff"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L195",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_cross_file_surprises",
|
||||
"_tgt": "analyze_node_community_map",
|
||||
"source": "analyze_node_community_map",
|
||||
"target": "analyze_cross_file_surprises"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L274",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_cross_community_surprises",
|
||||
"_tgt": "analyze_node_community_map",
|
||||
"source": "analyze_node_community_map",
|
||||
"target": "analyze_cross_community_surprises"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L333",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_suggest_questions",
|
||||
"_tgt": "analyze_node_community_map",
|
||||
"source": "analyze_node_community_map",
|
||||
"target": "analyze_suggest_questions"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L45",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_god_nodes",
|
||||
"_tgt": "analyze_is_file_node",
|
||||
"source": "analyze_is_file_node",
|
||||
"target": "analyze_god_nodes"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L204",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_cross_file_surprises",
|
||||
"_tgt": "analyze_is_file_node",
|
||||
"source": "analyze_is_file_node",
|
||||
"target": "analyze_cross_file_surprises"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L283",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_cross_community_surprises",
|
||||
"_tgt": "analyze_is_file_node",
|
||||
"source": "analyze_is_file_node",
|
||||
"target": "analyze_cross_community_surprises"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L353",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_suggest_questions",
|
||||
"_tgt": "analyze_is_file_node",
|
||||
"source": "analyze_is_file_node",
|
||||
"target": "analyze_suggest_questions"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L45",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_god_nodes",
|
||||
"_tgt": "analyze_is_concept_node",
|
||||
"source": "analyze_god_nodes",
|
||||
"target": "analyze_is_concept_node"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L84",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_surprising_connections",
|
||||
"_tgt": "analyze_cross_file_surprises",
|
||||
"source": "analyze_surprising_connections",
|
||||
"target": "analyze_cross_file_surprises"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L86",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_surprising_connections",
|
||||
"_tgt": "analyze_cross_community_surprises",
|
||||
"source": "analyze_surprising_connections",
|
||||
"target": "analyze_cross_community_surprises"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L202",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_cross_file_surprises",
|
||||
"_tgt": "analyze_is_concept_node",
|
||||
"source": "analyze_is_concept_node",
|
||||
"target": "analyze_cross_file_surprises"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L353",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_suggest_questions",
|
||||
"_tgt": "analyze_is_concept_node",
|
||||
"source": "analyze_is_concept_node",
|
||||
"target": "analyze_suggest_questions"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L151",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_surprise_score",
|
||||
"_tgt": "analyze_file_category",
|
||||
"source": "analyze_file_category",
|
||||
"target": "analyze_surprise_score"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L158",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_surprise_score",
|
||||
"_tgt": "analyze_top_level_dir",
|
||||
"source": "analyze_top_level_dir",
|
||||
"target": "analyze_surprise_score"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L213",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_cross_file_surprises",
|
||||
"_tgt": "analyze_surprise_score",
|
||||
"source": "analyze_surprise_score",
|
||||
"target": "analyze_cross_file_surprises"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/analyze.py",
|
||||
"source_location": "L236",
|
||||
"weight": 0.8,
|
||||
"_src": "analyze_cross_file_surprises",
|
||||
"_tgt": "analyze_cross_community_surprises",
|
||||
"source": "analyze_cross_file_surprises",
|
||||
"target": "analyze_cross_community_surprises"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/build.py",
|
||||
"source_location": "L8",
|
||||
"weight": 1.0,
|
||||
"_src": "build",
|
||||
"_tgt": "build_build_from_json",
|
||||
"source": "build",
|
||||
"target": "build_build_from_json"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/build.py",
|
||||
"source_location": "L31",
|
||||
"weight": 1.0,
|
||||
"_src": "build",
|
||||
"_tgt": "build_build",
|
||||
"source": "build",
|
||||
"target": "build_build"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/build.py",
|
||||
"source_location": "L39",
|
||||
"weight": 0.8,
|
||||
"_src": "build_build",
|
||||
"_tgt": "build_build_from_json",
|
||||
"source": "build_build_from_json",
|
||||
"target": "build_build"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/cluster.py",
|
||||
"source_location": "L6",
|
||||
"weight": 1.0,
|
||||
"_src": "cluster",
|
||||
"_tgt": "cluster_build_graph",
|
||||
"source": "cluster",
|
||||
"target": "cluster_build_graph"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/cluster.py",
|
||||
"source_location": "L27",
|
||||
"weight": 1.0,
|
||||
"_src": "cluster",
|
||||
"_tgt": "cluster_cluster",
|
||||
"source": "cluster",
|
||||
"target": "cluster_cluster"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/cluster.py",
|
||||
"source_location": "L72",
|
||||
"weight": 1.0,
|
||||
"_src": "cluster",
|
||||
"_tgt": "cluster_split_community",
|
||||
"source": "cluster",
|
||||
"target": "cluster_split_community"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/cluster.py",
|
||||
"source_location": "L92",
|
||||
"weight": 1.0,
|
||||
"_src": "cluster",
|
||||
"_tgt": "cluster_cohesion_score",
|
||||
"source": "cluster",
|
||||
"target": "cluster_cohesion_score"
|
||||
},
|
||||
{
|
||||
"relation": "contains",
|
||||
"confidence": "EXTRACTED",
|
||||
"source_file": "worked/mixed-corpus/raw/cluster.py",
|
||||
"source_location": "L103",
|
||||
"weight": 1.0,
|
||||
"_src": "cluster",
|
||||
"_tgt": "cluster_score_all",
|
||||
"source": "cluster",
|
||||
"target": "cluster_score_all"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/cluster.py",
|
||||
"source_location": "L63",
|
||||
"weight": 0.8,
|
||||
"_src": "cluster_cluster",
|
||||
"_tgt": "cluster_split_community",
|
||||
"source": "cluster_cluster",
|
||||
"target": "cluster_split_community"
|
||||
},
|
||||
{
|
||||
"relation": "calls",
|
||||
"confidence": "INFERRED",
|
||||
"source_file": "worked/mixed-corpus/raw/cluster.py",
|
||||
"source_location": "L104",
|
||||
"weight": 0.8,
|
||||
"_src": "cluster_score_all",
|
||||
"_tgt": "cluster_cohesion_score",
|
||||
"source": "cluster_cohesion_score",
|
||||
"target": "cluster_score_all"
|
||||
}
|
||||
]
|
||||
}
|
||||
Reference in New Issue
Block a user