Leaderboard github.com
Jack-Lee-Hiter/AlgorithmsByPython
算法/数据结构/Python/剑指offer/机器学习/leetcode
AI provenance
0%
none-detected
- Confidence
- 65%
- Coverage
- 100%
Estimated share of AI-generated code. Explicit attribution is a lower bound.
Code quality
42/100
poor
- Confidence
- 90%
- Coverage
- 100%
Complexity, duplication, lint density, tests, CI, docs and review process.
Security
82/100
adequate
- Confidence
- 85%
- Coverage
- 100%
Secrets, static analysis, vulnerable dependencies, CI and supply-chain posture.
AI provenance
0% none-detected
No AI attribution or AI-consistent velocity signals detected.
How the score is built
- Explicitly attributed share0%
- Unattributed share in AI-pace bursts0%
- Estimated AI-generated share0%
- AI tool configuration files0
- Work sessions at AI pace0
- Releases at AI pacenot measured
- Coding-style index (1.0+ means possible)0.00
Lines added per month all AI-attributed share
- 2016-06336 · 0% AI
- 2016-071,797 · 0% AI
- 2016-081,054 · 0% AI
- 2016-09103 · 0% AI
- 2017-050 · 0% AI
- 2017-110 · 0% AI
- 2018-0814 · 0% AI
Evidence by analyzer
Explicit AI attributionok
- attributed_commit_share
- 0.0%
- attributed_commits
- 0
- attributed_loc
- 0
- attributed_loc_share
- 0.0%
- commits
- 115
- effective_loc
- 3,304
- tools_detected
- 0
AI tool configurationok
- artifacts
- 0
- tools_configured
- 0
- workflow_agents
- 0
Commit velocityok
- excluded_import_loc
- 0
- flagged_loc
- 0
- flagged_loc_share
- 0.0%
- flagged_units
- 0
- max_loc_per_hour
- 181
- measured_loc
- 3,304
- median_loc_per_hour
- 36
- pr_timed_units
- 0
- pre_ai_era_burst_loc
- 0
- pre_ai_era_bursts
- 0
- pre_ai_era_measured_loc
- 3,304
- work_units
- 42
Release velocityskipped
Coding styleok
- count:assistant_voice
- 0
- count:emoji_in_code
- 0
- count:narrated_steps
- 0
- count:placeholder
- 0
- files:assistant_voice
- 0
- files:emoji_in_code
- 0
- files:narrated_steps
- 0
- files:placeholder
- 0
- index
- 0
- lines_scanned
- 7,729
- per_kloc:assistant_voice
- 0
- per_kloc:emoji_in_code
- 0
- per_kloc:narrated_steps
- 0
- per_kloc:placeholder
- 0
Code quality
42 poor
Code quality is poor: test-to-source ratio 0.00, no CI test run detected; 1% of function code in complex or long functions; 17% duplicated lines. Weakest area: testing.
How the score is built
- Complexity96
- Duplication36
- Lint and smells49
- Tests and CI0
- Documentation40
- Type safety40
- Review processnot measured
Evidence by analyzer
Complexity (lizard)ok2 items
- match in Target Offer/正则表达式匹配.py: complexity 21, 27 lines
- smoSimple in SVM/SVM.py: complexity 16, 39 lines
- complex_functions
- 2
- function_nloc
- 4,563
- functions
- 495
- long_functions
- 0
- many_param_functions
- 1
- mean_ccn
- 3.88
- p90_ccn
- 8
- risky_nloc_share
- 1.5%
Duplication (jscpd)ok10 items
- 6+ duplicated lines: AVL.py:1 and BinarySearchTree.py:1
- 6+ duplicated lines: AwesomeAlgorithms/KMP算法.py:34 and AwesomeAlgorithms/KMP算法.py:49
- 6+ duplicated lines: Target Offer/multiSparse.py:6 and Target Offer/transSparseMatrix.py:8
- 6+ duplicated lines: Target Offer/两个链表的第一个公共结点.py:5 and Target Offer/删除链表中重复的结点.py:7
- 6+ duplicated lines: Target Offer/二叉搜索树与双向链表.py:6 and Target Offer/二叉搜索树的最低公共祖先.py:5
- 6+ duplicated lines: Target Offer/二叉搜索树的第k个结点.py:38 and leetcode/230. Kth Smallest Element in a BST.py:13
- 6+ duplicated lines: Target Offer/二叉树中和为某一值的路径.py:14 and leetcode/113. Path Sum II.py:30
- 6+ duplicated lines: Target Offer/从上往下打印二叉树.py:31 and Target Offer/按之字形顺序打印二叉树.py:59
- 6+ duplicated lines: Target Offer/八皇后问题.py:14 and Target Offer/正方体对面和相同.py:11
- 6+ duplicated lines: Target Offer/判断平衡二叉树.py:42 and Target Offer/树的宽度.py:38
- compared_lines
- 6,534
- duplicated_lines
- 1,097
- duplicated_share
- 16.8%
- files
- 152
Lintok
- category:best-practice
- 12
- category:maintainability
- 2
- findings
- 14
- scanned_lines
- 7,729
- weighted_findings
- 22
Tests and CIok
- check:ci_present
- no
- check:ci_runs_lint
- no
- check:ci_runs_tests
- no
- check:has_tests
- no
- check:test_ratio
- no
- check:tests_cochange
- no
- ci_files
- 0
- cochange_commits
- 46
- cochange_share
- 0.0%
- source_lines
- 7,729
- test_lines
- 0
- test_ratio
- 0
Documentationok1 item
- README.md
README.md
- check:changelog
- no
- check:contributing
- no
- check:license
- no
- check:readme
- yes
- readme_lines
- 121
Type safetyok
- check:low_escape_density
- yes
- check:strict_config
- no
- escapes
- 0
- escapes_per_kloc
- 0
Security
82 adequate
Security posture is adequate: no high-impact findings. Weakest area: posture.
How the score is built
- Secrets100
- Static analysis (SAST)99
- Vulnerable dependenciesnot measured
- CI workflowsnot measured
- Security posture0
- OpenSSF Scorecardnot measured
Evidence by analyzer
OpenSSF Scorecardskipped
no published OpenSSF Scorecard result for this repo
Package registriesskipped
no registry dependencies declared
Secrets (gitleaks)ok
- secrets_current
- 0
- secrets_history
- 0
- secrets_low_confidence
- 0
- secrets_nonprod
- 0
Static analysis (opengrep)ok
- findings
- 1
- findings_high
- 0
- findings_low
- 1
- findings_medium
- 0
- parse_errors
- 1
- scanned_lines
- 7,729
- weighted_findings
- 0.15
Dependencies (osv-scanner)skipped
CI workflows (zizmor)skipped
Security postureok
- check:dependency_updates
- no
- check:lockfiles
- yes
- check:security_policy
- no
- check:signed_commits
- no
- signed_commit_share
- 1.7%
- unpinned_manifests
- 0
Release downloadsok
- binary_assets
- 0
- signals
- 0
- suspicious
- 0
Findings
4 high10 medium1 low
15 findings
| Severity | Rule | Location | Message | Tool |
|---|---|---|---|---|
| high | opengrep/python.lang.best-practice.open-never-closed |
Logistic regression/Logistic.py:6 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
Logistic regression/Logistic.py:82 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
Logistic regression/Logistic.py:83 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
SVM/SVM.py:5 | file object opened without corresponding close | Lint |
| medium | opengrep/python.lang.maintainability.useless-if-body |
AVL.py:119 | Useless if statement; both blocks have the same body | Lint |
| medium | opengrep/python.lang.best-practice.unspecified-open-encoding |
Logistic regression/Logistic.py:6 | Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). | Lint |
| medium | opengrep/python.lang.best-practice.unspecified-open-encoding |
Logistic regression/Logistic.py:82 | Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). | Lint |
| medium | opengrep/python.lang.best-practice.unspecified-open-encoding |
Logistic regression/Logistic.py:83 | Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). | Lint |
| medium | opengrep/python.lang.maintainability.return-not-in-function |
QuickSort.py:46 | `return` only makes sense inside a function | Lint |
| medium | opengrep/python.lang.best-practice.unspecified-open-encoding |
SVM/SVM.py:5 | Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8"). | Lint |
| medium | opengrep/python.requests.best-practice.use-raise-for-status |
regularExpression/re练习.py:12 | There's an HTTP request made with requests, but the raise_for_status() utility method isn't used. This can result in request errors going unnoticed and your code behaving in unexpected ways, such as if your authorization API returns a... | Lint |
| medium | opengrep/python.requests.best-practice.use-timeout |
regularExpression/re练习.py:12 | Detected a 'requests' call without a timeout set. By default, 'requests' calls wait until the connection is closed. This means a 'requests' call without a timeout will hang the program if a response is never received. Consider setting a... | Lint |
| medium | opengrep/python.requests.best-practice.use-raise-for-status |
regularExpression/re练习.py:35 | There's an HTTP request made with requests, but the raise_for_status() utility method isn't used. This can result in request errors going unnoticed and your code behaving in unexpected ways, such as if your authorization API returns a... | Lint |
| medium | opengrep/python.requests.best-practice.use-timeout |
regularExpression/re练习.py:35 | Detected a 'requests' call without a timeout set. By default, 'requests' calls wait until the connection is closed. This means a 'requests' call without a timeout will hang the program if a response is never received. Consider setting a... | Lint |
| low | opengrep/python.lang.security.audit.insecure-transport.requests.request-with-http |
regularExpression/re练习.py:12 | Detected a request using 'http://'. This request will be unencrypted, and attackers could listen into traffic on the network and be able to obtain sensitive information. Use 'https://' instead. [confidence medium] | Static analysis (opengrep) |
Tools and coverage
Every analyzer that ran on this commit. A failed or skipped tool is a coverage gap: its share of the score is left out and the coverage figure drops.
| Analyzer | Pillar | Status | Version | Findings | Note |
|---|---|---|---|---|---|
| AI tool configuration | AI provenance | ok | signatures-v1 | 0 | |
| Explicit AI attribution | AI provenance | ok | signatures-v1 | 0 | |
| Release velocity | AI provenance | skipped | — | 0 | |
| Coding style | AI provenance | ok | — | 0 | |
| Commit velocity | AI provenance | ok | prov-4 | 0 | |
| Complexity (lizard) | Code quality | ok | lizard 1.25.1 | 0 | |
| Documentation | Code quality | ok | — | 0 | |
| Duplication (jscpd) | Code quality | ok | repotrust-dup-w6 | 0 | |
| Lint | Code quality | ok | opengrep 1.33.1; rules f1d2b562b414 | 14 | |
| Tests and CI | Code quality | ok | — | 0 | |
| Type safety | Code quality | ok | — | 0 | |
| CI workflows (zizmor) | Security | skipped | — | 0 | |
| Dependencies (osv-scanner) | Security | skipped | — | 0 | |
| Release downloads | Security | ok | — | 0 | |
| Security posture | Security | ok | — | 0 | |
| Package registries | Security | skipped | — | 0 | no registry dependencies declared |
| Static analysis (opengrep) | Security | ok | opengrep 1.33.1; rules f1d2b562b414 | 1 | |
| OpenSSF Scorecard | Security | skipped | — | 0 | no published OpenSSF Scorecard result for this repo |
| Secrets (gitleaks) | Security | ok | gitleaks 8.30.1 | 0 |
Score history
Scores from different scoring versions aren't directly comparable.
| Scored | Commit | Scoring | AI provenance | Quality | Security |
|---|---|---|---|---|---|
| 2026-11-14 | 78d7ac4d93db | prov-5+qual-2+sec-2 | 0% | 42 | 82 |
| 2026-11-14 | 78d7ac4d93db | prov-4+qual-2+sec-2 | 0% | 42 | 82 |
Full text report
- Repository: https://github.com/Jack-Lee-Hiter/AlgorithmsByPython
- Commit:
78d7ac4d93db9da40601a5567350bfb3e97e7d46 - Generated: 2026-11-14T14:52:00+00:00
- Scorer 0.1.0, scoring prov-5+qual-2+sec-2, report schema v2
Scores
| Pillar | Score | Signal | Confidence | Coverage |
|---|---|---|---|---|
| AI provenance (estimated AI-generated share) | 0 | none-detected | 65% | 100% |
| Code quality | 42 | poor | 90% | 100% |
| Security | 82 | adequate | 85% | 100% |
AI provenance
No AI attribution or AI-consistent velocity signals detected.
- Explicitly attributed share (lower bound): 0.0%
- Unattributed share in AI-consistent velocity bursts: 0.0%
- Estimated AI-generated share: 0.0%
| Month | Lines added | Attributed to AI |
|---|---|---|
| 2016-06 | 336 | 0% |
| 2016-07 | 1,797 | 0% |
| 2016-08 | 1,054 | 0% |
| 2016-09 | 103 | 0% |
| 2018-08 | 14 | 0% |
AI provenance describes how code was produced; it is not a quality judgment. Unless attribution is explicit, these are signals consistent with AI generation, not proof. Squash/rebase workflows, imported code, and rewritten history reduce accuracy.
Code quality
Code quality is poor: test-to-source ratio 0.00, no CI test run detected; 1% of function code in complex or long functions; 17% duplicated lines. Weakest area: testing.
| Area | Score |
|---|---|
| Complexity (lizard) | 96 |
| Duplication | 36 |
| Code smells (Opengrep) | 49 |
| Tests and CI | 0 |
| Documentation | 40 |
| Type safety | 40 |
| Process (Scorecard review/maintenance) | n/a |
- Functions: 495; mean complexity 3.9, 90th percentile 8; 2 complex and 0 long functions
- Duplicated lines: 16.8% of 6,534 compared
- Tests: 0 test lines for 7,729 source lines (ratio 0.00); CI test commands: none detected; 0% of recent source commits also change tests
- Docs missing or thin: license, contributing, changelog
Most complex functions:
- [match in Target Offer/正则表达式匹配.py: complexity 21, 27 lines](https://github.com/Jack-Lee-Hiter/AlgorithmsByPython/blob/78d7ac4d93db9da40601a5567350bfb3e97e7d46/Target Offer/正则表达式匹配.py#L11)
- smoSimple in SVM/SVM.py: complexity 16, 39 lines
Security
Security posture is adequate: no high-impact findings. Weakest area: posture.
| Area | Score |
|---|---|
| Secrets (gitleaks, tree + history) | 100 |
| Static analysis (Opengrep) | 99 |
| Vulnerable dependencies (OSV) | n/a |
| CI workflows (zizmor) | n/a |
| Posture (policy, updates, signing, lockfiles) | 0 |
| OpenSSF Scorecard | n/a |
- Posture checks passed: lockfiles; missing: security policy, dependency updates, signed commits
Top findings
| Severity | Finding | Location |
|---|---|---|
| low | opengrep/python.lang.security.audit.insecure-transport.requests.request-with-http: Detected a request using 'http://'. This request will be unencrypted, and attackers could listen into traffic on the network and be able to obtain sensitive information. Use 'https://' instead. [confidence medium] |
regularExpression/re练习.py:12 |
Static signals only: the scorer never runs the project's code. Secret findings are pattern matches that were not verified, and secret values are never stored.
Repository profile
- Source lines: 7,729; test lines: 0
| Language | Lines |
|---|---|
| Python | 7,702 |
| Shell | 27 |