Bump actions/checkout from 7.0.0 to 7.0.1 by dependabot[bot] · Pull Request #142 · Senzing/mapper-file

dependabot · 2026-08-07T08:53:17Z

Bumps actions/checkout from 7.0.0 to 7.0.1.

Release notes

Sourced from actions/checkout's releases.

v7.0.1

What's Changed

skip running unsafe pr check if input is default by @aiqiaoy in actions/checkout#2518

trim only ascii whitespace for branch by @aiqiaoy in actions/checkout#2521

escape values passed to --unset by @aiqiaoy in actions/checkout#2530

Various dependency updates

Full Changelog: actions/checkout@v7...v7.0.1

Changelog

Sourced from actions/checkout's changelog.

v7.0.1

Skip running unsafe pr check if input is default by @aiqiaoy in actions/checkout#2518

Trim only ascii whitespace for branch by @aiqiaoy in actions/checkout#2521

Escape values passed to --unset by @aiqiaoy in actions/checkout#2530

Various dependency updates

Commits

3d3c42e prep v7.0.1 release (#2531)
2880268 escape values passed to --unset (#2530)
12cd223 trim only ascii whitespace for branch (#2521)
62661c4 skip running unsafe pr check if input is default (#2518)
e8d4307 Bump the minor-actions-dependencies group with 2 updates (#2499)
631c942 eslint 9 (#2474)
4f1f4ae Bump actions/upload-artifact from 4 to 7 (#2476)
ba09753 Bump actions/checkout from 6 to 7 (#2488)
b9e0990 Bump docker/login-action from 3.3.0 to 4.2.0 (#2479)
e8cb398 Bump docker/build-push-action from 6.5.0 to 7.2.0 (#2478)
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Bumps [actions/checkout](https://github.com/actions/checkout) from 7.0.0 to 7.0.1. - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](actions/checkout@v7.0.0...v7.0.1) --- updated-dependencies: - dependency-name: actions/checkout dependency-version: 7.0.1 dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com>

senzingdevops

Automated: approving this pull request because it includes a patch update

github-actions · 2026-08-07T08:53:57Z

🤖 Claude Code Review

PR Code Review

Scope: Single-line diff bumping actions/checkout from v7.0.1... wait, from v7.0.0 → v7.0.1 in .github/workflows/pylint.yaml (likely a Dependabot PR).

Code Quality

✅ Follows standard style conventions — valid YAML, consistent with existing indentation/quoting in .github/workflows/pylint.yaml:26.
✅ No commented-out code.
✅ N/A — meaningful variable names (no variables introduced).
✅ N/A — DRY principle (single pinned version reference, no duplication introduced).
✅ No defects identified. This is a patch-level bump of a GitHub Action (actions/checkout v7.0.0 → v7.0.1), which is low-risk. Version is pinned to a specific tag rather than a floating major tag, which is good practice for supply-chain stability.
✅ .claude/CLAUDE.md not touched by this diff — no concerns; existing file is already environment-agnostic (venv/pip instructions are standard, no local-machine-specific paths or credentials).

Testing

✅ N/A — no application code changed; nothing to unit/integration test. CI itself (pylint workflow across Python 3.10–3.13) will validate the workflow still runs correctly.

Documentation

✅ N/A — README/API docs not affected.
⚠️ CHANGELOG.md not updated. For a routine CI action version bump this is typically fine to skip (not user-facing/library behavior), but flagging per checklist. No action needed unless the project's convention is to log all dependency bumps.
✅ N/A — no inline comments needed for a version string change.
✅ N/A — no markdown content changed in this diff.

Security

✅ No hardcoded credentials.
✅ N/A — input validation (no code logic changed).
✅ N/A — error handling (no code logic changed).
✅ No sensitive data in logs.
✅ No .lic files or AQAAAD-prefixed strings present in this diff.

Summary

No issues found. This is a clean, low-risk dependency version bump (`actions/checkout@v7.0.0` → `v7.0.1`) with no functional, security, or documentation concerns. Safe to merge.

Automated code review analyzing defects and coding standards

github-actions · 2026-08-07T08:55:38Z

Super-linter summary

Language	Validation result
CHECKOV	Pass ✅
GITHUB_ACTIONS	Pass ✅
GITHUB_ACTIONS_ZIZMOR	Pass ✅
GITLEAKS	Pass ✅
GIT_MERGE_CONFLICT_MARKERS	Pass ✅
JSCPD	Fail ❌
PRE_COMMIT	Pass ✅
SPELL_CODESPELL	Pass ✅
TRIVY	Pass ✅
YAML	Pass ✅
YAML_PRETTIER	Pass ✅

Super-linter detected linting errors

For more information, see the GitHub Actions workflow run

Powered by Super-linter

JSCPD

�[1mClone found (yaml)�[22m
 - /github/workspace/.github/workflows/add-to-project-senzing-dependabot.yaml [10:28 - 17:75]
   /github/workspace/.github/workflows/add-to-project-senzing.yaml [12:17 - 19:75]
�[90m  10 │ �[39m  add-to-project-dependabot:
�[90m  11 │ �[39m    permissions:
�[90m  12 │ �[39m      repository-projects: write
�[90m  13 │ �[39m    secrets:
�[90m  14 │ �[39m      PROJECT_RW_TOKEN: ${{ secrets.SENZING_GITHUB_PROJECT_RW_TOKEN }}
�[90m  15 │ �[39m      SLACK_BOT_TOKEN: ${{ secrets.SLACK_BOT_TOKEN }}
�[90m  16 │ �[39m      SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
�[90m  17 │ �[39m    uses: senzing-factory/build-resources/.github/workflows/add-to-project-dependabot.yaml@v4
�[90m  12 │ �[39m  add-to-project:
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�[90m  14 │ �[39m      repository-projects: write
�[90m  15 │ �[39m    secrets:
�[90m  16 │ �[39m      PROJECT_RW_TOKEN: ${{ secrets.SENZING_GITHUB_PROJECT_RW_TOKEN }}
�[90m  17 │ �[39m      SLACK_BOT_TOKEN: ${{ secrets.SLACK_BOT_TOKEN }}
�[90m  18 │ �[39m      SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
�[90m  19 │ �[39m    uses: senzing-factory/build-resources/.github/workflows/add-to-project.yaml@v4

�[1mClone found (python)�[22m
 - /github/workspace/src/file_analyzer.py [256:49 - 262:25]
   /github/workspace/src/file_analyzer.py [1994:39 - 2000:21]
�[90m 256 │ �[39m            result.update({self._strip_namespace(k): v for k, v in element.attrib.items()})
�[90m 257 │ �[39m        if element.text and element.text.strip():
�[90m 258 │ �[39m            result["text"] = element.text.strip()
�[90m 259 │ �[39m
�[90m 260 │ �[39m        children = {}
�[90m 261 │ �[39m        for child in element:
�[90m 262 │ �[39m            child_dict = self._element_to_dict(child)
�[90m1994 │ �[39m        result.update({strip_namespace(k): v for k, v in element.attrib.items()})
�[90m1995 │ �[39m    if element.text and element.text.strip():
�[90m1996 │ �[39m        result["text"] = element.text.strip()
�[90m1997 │ �[39m
�[90m1998 │ �[39m    children = {}
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�[90m2000 │ �[39m        child_dict = element_to_dict(child)

�[1mClone found (python)�[22m
 - /github/workspace/src/file_analyzer.py [263:40 - 274:8]
   /github/workspace/src/file_analyzer.py [2001:30 - 2013:4]
�[90m 263 │ �[39m            tag = self._strip_namespace(child.tag)
�[90m 264 │ �[39m            if tag in children:
�[90m 265 │ �[39m                if not isinstance(children[tag], list):
�[90m 266 │ �[39m                    children[tag] = [children[tag]]
�[90m 267 │ �[39m                children[tag].append(child_dict)
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�[90m 269 │ �[39m                children[tag] = child_dict
�[90m 270 │ �[39m
�[90m 271 │ �[39m        result.update(children)
�[90m 272 │ �[39m        return result
�[90m 273 │ �[39m
�[90m 274 │ �[39m    def _strip_namespace(self, tag):
�[90m2001 │ �[39m        tag = strip_namespace(child.tag)
�[90m2002 │ �[39m        if tag in children:
�[90m2003 │ �[39m            if not isinstance(children[tag], list):
�[90m2004 │ �[39m                children[tag] = [children[tag]]
�[90m2005 │ �[39m            children[tag].append(child_dict)
�[90m2006 │ �[39m        else:
�[90m2007 │ �[39m            children[tag] = child_dict
�[90m2008 │ �[39m
�[90m2009 │ �[39m    result.update(children)
�[90m2010 │ �[39m    return result
�[90m2011 │ �[39m
�[90m2012 │ �[39m
�[90m2013 │ �[39mdef report_viewer(report):

�[1mClone found (python)�[22m
 - /github/workspace/src/file_analyzer.py [496:9 - 502:68]
   /github/workspace/src/file_analyzer.py [511:9 - 517:68]
�[90m 496 │ �[39m        for attr_path in self.enumerate_attrs:
�[90m 497 │ �[39m            values = self.extract_nested_values(obj, attr_path)
�[90m 498 │ �[39m            if values:
�[90m 499 │ �[39m                for value in values:
�[90m 500 │ �[39m                    if value is not None and value != "":  # Skip None and empty string, but keep False
�[90m 501 │ �[39m                        value_str = str(value)
�[90m 502 │ �[39m                        if value_str not in self.enumeration_stats[group_value][attr_path]:
�[90m 511 │ �[39m        for attr_path in self.enumerate_attrs:
�[90m 512 │ �[39m            values = self.extract_nested_values(obj, attr_path)
�[90m 513 │ �[39m            if values:
�[90m 514 │ �[39m                for value in values:
�[90m 515 │ �[39m                    if value is not None and value != "":  # Skip None and empty string, but keep False
�[90m 516 │ �[39m                        value_str = str(value)
�[90m 517 │ �[39m                        if value_str not in self.enumeration_stats[attr_path]:

�[1mClone found (python)�[22m
 - /github/workspace/src/file_analyzer.py [719:57 - 739:19]
   /github/workspace/src/file_analyzer.py [770:55 - 790:19]
�[90m 719 │ �[39m            group_nodes[prior_key].add_child(group_nodes[attr_key])
�[90m 720 │ �[39m
�[90m 721 │ �[39m        if value is not None:
�[90m 722 │ �[39m            # Handle numpy arrays and other array-like objects
�[90m 723 │ �[39m            try:
�[90m 724 │ �[39m                if hasattr(value, "__len__") and not isinstance(value, str):
�[90m 725 │ �[39m                    # Check if it's empty for arrays/lists
�[90m 726 │ �[39m                    is_empty = len(value) == 0
�[90m 727 │ �[39m                else:
�[90m 728 │ �[39m                    # For scalar values, check truthiness normally
�[90m 729 │ �[39m                    is_empty = not bool(value)
�[90m 730 │ �[39m            except (ValueError, TypeError):
�[90m 731 │ �[39m                # Fallback for values that can't be easily checked
�[90m 732 │ �[39m                is_empty = False
�[90m 733 │ �[39m
�[90m 734 │ �[39m            if not is_empty:
�[90m 735 │ �[39m                value_type = str(type(value))[8:-2]
�[90m 736 │ �[39m
�[90m 737 │ �[39m                # Set or update node type
�[90m 738 │ �[39m                # Allow promoting 'dict' to 'list' if we encounter a list
�[90m     … 1 more lines�[39m
�[90m 770 │ �[39m            self.nodes[prior_key].add_child(self.nodes[attr_key])
�[90m 771 │ �[39m
�[90m 772 │ �[39m        if value is not None:
�[90m 773 │ �[39m            # Handle numpy arrays and other array-like objects
�[90m 774 │ �[39m            try:
�[90m 775 │ �[39m                if hasattr(value, "__len__") and not isinstance(value, str):
�[90m 776 │ �[39m                    # Check if it's empty for arrays/lists
�[90m 777 │ �[39m                    is_empty = len(value) == 0
�[90m 778 │ �[39m                else:
�[90m 779 │ �[39m                    # For scalar values, check truthiness normally
�[90m 780 │ �[39m                    is_empty = not bool(value)
�[90m 781 │ �[39m            except (ValueError, TypeError):
�[90m 782 │ �[39m                # Fallback for values that can't be easily checked
�[90m 783 │ �[39m                is_empty = False
�[90m 784 │ �[39m
�[90m 785 │ �[39m            if not is_empty:
�[90m 786 │ �[39m                value_type = str(type(value))[8:-2]
�[90m 787 │ �[39m
�[90m 788 │ �[39m                # Set or update node type
�[90m 789 │ �[39m                # Allow promoting 'dict' to 'list' if we encounter a list
�[90m     … 1 more lines�[39m

�[1mClone found (python)�[22m
 - /github/workspace/src/file_analyzer.py [1088:112 - 1101:26]
   /github/workspace/src/file_analyzer.py [1128:100 - 1142:22]
�[90m1088 │ �[39m            record_pct = round(record_cnt / self.analyzer.record_count * 100, 2) if self.analyzer.record_count else 0
�[90m1089 │ �[39m            unique_cnt = len(node.unique_values)
�[90m1090 │ �[39m            unique_pct = round(unique_cnt / record_cnt * 100, 2) if record_cnt else 0
�[90m1091 │ �[39m
�[90m1092 │ �[39m            top_values = [""] * self.analyzer.top_value_count
�[90m1093 │ �[39m            if self.analyzer.top_value_count:
�[90m1094 │ �[39m                i = 0
�[90m1095 │ �[39m                for k, v in sorted(node.unique_values.items(), key=lambda v: v[1], reverse=True):
�[90m1096 │ �[39m                    top_values[i] = f"{str(k)[0:50]} ({v})"
�[90m1097 │ �[39m                    i += 1
�[90m1098 │ �[39m                    if i == self.analyzer.top_value_count:
�[90m1099 │ �[39m                        break
�[90m1100 │ �[39m
�[90m1101 │ �[39m            rows.append([attr_code, attr_type, record_cnt, record_pct, unique_cnt, unique_pct] + top_values)
�[90m1128 │ �[39m                record_pct = round(record_cnt / group_record_count * 100, 2) if group_record_count else 0
�[90m1129 │ �[39m                unique_cnt = len(node.unique_values)
�[90m1130 │ �[39m                unique_pct = round(unique_cnt / record_cnt * 100, 2) if record_cnt else 0
�[90m1131 │ �[39m
�[90m1132 │ �[39m                top_values = [""] * self.analyzer.top_value_count
�[90m1133 │ �[39m                if self.analyzer.top_value_count:
�[90m1134 │ �[39m                    i = 0
�[90m1135 │ �[39m                    for k, v in sorted(node.unique_values.items(), key=lambda v: v[1], reverse=True):
�[90m1136 │ �[39m                        top_values[i] = f"{str(k)[0:50]} ({v})"
�[90m1137 │ �[39m                        i += 1
�[90m1138 │ �[39m                        if i == self.analyzer.top_value_count:
�[90m1139 │ �[39m                            break
�[90m1140 │ �[39m
�[90m1141 │ �[39m                rows.append(
�[90m1142 │ �[39m                    [group_value, attr_code, attr_type, record_cnt, record_pct, unique_cnt, unique_pct] + top_values

�[1mClone found (python)�[22m
 - /github/workspace/src/file_analyzer.py [1430:13 - 1436:64]
   /github/workspace/src/file_analyzer.py [1530:17 - 1536:22]
�[90m1430 │ �[39m            top_values = []
�[90m1431 │ �[39m            for k, v in sorted(node.unique_values.items(), key=lambda v: v[1], reverse=True):
�[90m1432 │ �[39m                if len(top_values) >= self.analyzer.top_value_count:
�[90m1433 │ �[39m                    break
�[90m1434 │ �[39m                top_values.append(f"{str(k)[:50]} ({v})")
�[90m1435 │ �[39m
�[90m1436 │ �[39m            # Pad to ensure we have the right number of columns
�[90m1530 │ �[39m                top_values = []
�[90m1531 │ �[39m                for k, v in sorted(node.unique_values.items(), key=lambda v: v[1], reverse=True):
�[90m1532 │ �[39m                    if len(top_values) >= self.analyzer.top_value_count:
�[90m1533 │ �[39m                        break
�[90m1534 │ �[39m                    top_values.append(f"{str(k)[:50]} ({v})")
�[90m1535 │ �[39m
�[90m1536 │ �[39m                while len(top_values) < self.analyzer.top_value_count:

�[1mClone found (python)�[22m
 - /github/workspace/src/file_analyzer.py [1452:13 - 1462:73]
   /github/workspace/src/file_analyzer.py [1540:118 - 1550:77]
�[90m1452 │ �[39m            ]
�[90m1453 │ �[39m            for value in top_values:
�[90m1454 │ �[39m                row_parts.append(f" {value} |")
�[90m1455 │ �[39m            lines.append("".join(row_parts))
�[90m1456 │ �[39m
�[90m1457 │ �[39m            # Add description if available (for Socrata files)
�[90m1458 │ �[39m            if field_name in self.analyzer.field_metadata:
�[90m1459 │ �[39m                metadata = self.analyzer.field_metadata[field_name]
�[90m1460 │ �[39m                description = metadata.get("description", "")
�[90m1461 │ �[39m                if description:
�[90m1462 │ �[39m                    lines.append(f"| | *{description}* | | | | | | | |")
�[90m1540 │ �[39m                row_parts = [f"| {row_num} | {field_name} | {field_type} | {record_cnt} | {pop_pct} | {unique_pct} |"]
�[90m1541 │ �[39m                for value in top_values:
�[90m1542 │ �[39m                    row_parts.append(f" {value} |")
�[90m1543 │ �[39m                lines.append("".join(row_parts))
�[90m1544 │ �[39m
�[90m1545 │ �[39m                # Add description if available (for Socrata files)
�[90m1546 │ �[39m                if field_name in self.analyzer.field_metadata:
�[90m1547 │ �[39m                    metadata = self.analyzer.field_metadata[field_name]
�[90m1548 │ �[39m                    description = metadata.get("description", "")
�[90m1549 │ �[39m                    if description:
�[90m1550 │ �[39m                        lines.append(f"| | *{description}* | | | | | | | |")

�[1mClone found (python)�[22m
 - /github/workspace/src/file_analyzer.py [1579:13 - 1589:29]
   /github/workspace/src/file_analyzer.py [1626:17 - 1636:33]
�[90m1579 │ �[39m            if not attr_stats:
�[90m1580 │ �[39m                continue
�[90m1581 │ �[39m
�[90m1582 │ �[39m            total_occurrences = sum(stats["count"] for stats in attr_stats.values())
�[90m1583 │ �[39m            sorted_codes = sorted(attr_stats.items(), key=lambda x: x[1]["count"], reverse=True)
�[90m1584 │ �[39m
�[90m1585 │ �[39m            for code_value, stats in sorted_codes:
�[90m1586 │ �[39m                record_cnt = stats["count"]
�[90m1587 │ �[39m                record_pct = round(record_cnt / total_occurrences * 100, 2) if total_occurrences else 0
�[90m1588 │ �[39m                unique_records = len(stats["records"])
�[90m1589 │ �[39m                unique_pct = (
�[90m1626 │ �[39m                if not attr_stats:
�[90m1627 │ �[39m                    continue
�[90m1628 │ �[39m
�[90m1629 │ �[39m                total_occurrences = sum(stats["count"] for stats in attr_stats.values())
�[90m1630 │ �[39m                sorted_codes = sorted(attr_stats.items(), key=lambda x: x[1]["count"], reverse=True)
�[90m1631 │ �[39m
�[90m1632 │ �[39m                for code_value, stats in sorted_codes:
�[90m1633 │ �[39m                    record_cnt = stats["count"]
�[90m1634 │ �[39m                    record_pct = round(record_cnt / total_occurrences * 100, 2) if total_occurrences else 0
�[90m1635 │ �[39m                    unique_records = len(stats["records"])
�[90m1636 │ �[39m                    unique_pct = round(unique_records / group_record_count * 100, 2) if group_record_count else 0

�[1mClone found (python)�[22m
 - /github/workspace/src/file_analyzer.py [1593:17 - 1600:22]
   /github/workspace/src/file_analyzer.py [1638:21 - 1645:26]
�[90m1593 │ �[39m                sample_records = [""] * min(self.analyzer.top_value_count, 5)
�[90m1594 │ �[39m                for i, record_id in enumerate(sorted(stats["records"])):
�[90m1595 │ �[39m                    if i >= min(self.analyzer.top_value_count, 5):
�[90m1596 │ �[39m                        break
�[90m1597 │ �[39m                    sample_records[i] = f"{record_id}"
�[90m1598 │ �[39m
�[90m1599 │ �[39m                rows.append(
�[90m1600 │ �[39m                    [attr_path, code_value, record_cnt, record_pct, unique_records, unique_pct] + sample_records
�[90m1638 │ �[39m                    sample_records = [""] * min(self.analyzer.top_value_count, 5)
�[90m1639 │ �[39m                    for i, record_id in enumerate(sorted(stats["records"])):
�[90m1640 │ �[39m                        if i >= min(self.analyzer.top_value_count, 5):
�[90m1641 │ �[39m                            break
�[90m1642 │ �[39m                        sample_records[i] = f"{record_id}"
�[90m1643 │ �[39m
�[90m1644 │ �[39m                    rows.append(
�[90m1645 │ �[39m                        [group_value, attr_path, code_value, record_cnt, record_pct, unique_records, unique_pct]

�[1mClone found (python)�[22m
 - /github/workspace/src/file_analyzer.py [1682:74 - 1691:33]
   /github/workspace/src/file_analyzer.py [1709:86 - 1718:29]
�[90m1682 │ �[39m                for grouping_key, value_stats in group_pivot_stats.items():
�[90m1683 │ �[39m                    total_record_cnt = sum(stats["count"] for stats in value_stats.values())
�[90m1684 │ �[39m                    all_records = set()
�[90m1685 │ �[39m                    value_counts = {}
�[90m1686 │ �[39m
�[90m1687 │ �[39m                    for value, stats in value_stats.items():
�[90m1688 │ �[39m                        all_records.update(stats["records"])
�[90m1689 │ �[39m                        value_counts[value] = stats["count"]
�[90m1690 │ �[39m
�[90m1691 │ �[39m                    record_pct = round(total_record_cnt / group_record_count * 100, 2) if group_record_count else 0
�[90m1709 │ �[39m            for grouping_key, value_stats in sorted(self.analyzer.pivot_stats.items()):
�[90m1710 │ �[39m                total_record_cnt = sum(stats["count"] for stats in value_stats.values())
�[90m1711 │ �[39m                all_records = set()
�[90m1712 │ �[39m                value_counts = {}
�[90m1713 │ �[39m
�[90m1714 │ �[39m                for value, stats in value_stats.items():
�[90m1715 │ �[39m                    all_records.update(stats["records"])
�[90m1716 │ �[39m                    value_counts[value] = stats["count"]
�[90m1717 │ �[39m
�[90m1718 │ �[39m                record_pct = (

�[1mClone found (python)�[22m
 - /github/workspace/src/file_analyzer.py [1692:21 - 1701:26]
   /github/workspace/src/file_analyzer.py [1721:17 - 1730:22]
�[90m1692 │ �[39m                    unique_values = len(value_stats)
�[90m1693 │ �[39m                    unique_pct = round(unique_values / total_record_cnt * 100, 2) if total_record_cnt else 0
�[90m1694 │ �[39m
�[90m1695 │ �[39m                    top_values = [""] * min(self.analyzer.top_value_count, 5)
�[90m1696 │ �[39m                    for i, (value, count) in enumerate(sorted(value_counts.items(), key=lambda x: x[1], reverse=True)):
�[90m1697 │ �[39m                        if i >= min(self.analyzer.top_value_count, 5):
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�[90m1699 │ �[39m                        top_values[i] = f"{value} ({count})"
�[90m1700 │ �[39m
�[90m1701 │ �[39m                    row = [group_value]
�[90m1721 │ �[39m                unique_values = len(value_stats)
�[90m1722 │ �[39m                unique_pct = round(unique_values / total_record_cnt * 100, 2) if total_record_cnt else 0
�[90m1723 │ �[39m
�[90m1724 │ �[39m                top_values = [""] * min(self.analyzer.top_value_count, 5)
�[90m1725 │ �[39m                for i, (value, count) in enumerate(sorted(value_counts.items(), key=lambda x: x[1], reverse=True)):
�[90m1726 │ �[39m                    if i >= min(self.analyzer.top_value_count, 5):
�[90m1727 │ �[39m                        break
�[90m1728 │ �[39m                    top_values[i] = f"{value} ({count})"
�[90m1729 │ �[39m
�[90m1730 │ �[39m                row = list(grouping_key)

�[1mClone found (json)�[22m
 - /github/workspace/src/sz_default_config.json [1975:46 - 1990:28]
   /github/workspace/src/sz_default_config.json [1992:46 - 2007:28]
�[90m1975 │ �[39m                "FTYPE_DESC": "Date of birth",
�[90m1976 │ �[39m                "FCLASS_ID": 2,
�[90m1977 │ �[39m                "FTYPE_FREQ": "FM",
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�[90m1988 │ �[39m            },
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�[90m1992 │ �[39m                "FTYPE_DESC": "Date of death",
�[90m1993 │ �[39m                "FCLASS_ID": 2,
�[90m1994 │ �[39m                "FTYPE_FREQ": "FM",
�[90m1995 │ �[39m                "FTYPE_EXCL": "Yes",
�[90m1996 │ �[39m                "FTYPE_STAB": "Yes",
�[90m1997 │ �[39m                "PERSIST_HISTORY": "Yes",
�[90m1998 │ �[39m                "USED_FOR_CAND": "Yes",
�[90m1999 │ �[39m                "DERIVED": "No",
�[90m2000 │ �[39m                "DERIVATION": null,
�[90m2001 │ �[39m                "RTYPE_ID": 0,
�[90m2002 │ �[39m                "ANONYMIZE": "No",
�[90m2003 │ �[39m                "VERSION": 2,
�[90m2004 │ �[39m                "SHOW_IN_MATCH_KEY": "Yes"
�[90m2005 │ �[39m            },
�[90m2006 │ �[39m            {
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�[1mClone found (json)�[22m
 - /github/workspace/src/sz_default_config.json [1975:46 - 1990:28]
   /github/workspace/src/sz_default_config.json [2791:50 - 2806:28]
�[90m1975 │ �[39m                "FTYPE_DESC": "Date of birth",
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�[90m1979 │ �[39m                "FTYPE_STAB": "Yes",
�[90m1980 │ �[39m                "PERSIST_HISTORY": "Yes",
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�[90m1982 │ �[39m                "DERIVED": "No",
�[90m1983 │ �[39m                "DERIVATION": null,
�[90m1984 │ �[39m                "RTYPE_ID": 0,
�[90m1985 │ �[39m                "ANONYMIZE": "No",
�[90m1986 │ �[39m                "VERSION": 2,
�[90m1987 │ �[39m                "SHOW_IN_MATCH_KEY": "Yes"
�[90m1988 │ �[39m            },
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�[90m1990 │ �[39m                "FTYPE_ID": 3,
�[90m2791 │ �[39m                "FTYPE_DESC": "Registration Date",
�[90m2792 │ �[39m                "FCLASS_ID": 2,
�[90m2793 │ �[39m                "FTYPE_FREQ": "FM",
�[90m2794 │ �[39m                "FTYPE_EXCL": "Yes",
�[90m2795 │ �[39m                "FTYPE_STAB": "Yes",
�[90m2796 │ �[39m                "PERSIST_HISTORY": "Yes",
�[90m2797 │ �[39m                "USED_FOR_CAND": "Yes",
�[90m2798 │ �[39m                "DERIVED": "No",
�[90m2799 │ �[39m                "DERIVATION": null,
�[90m2800 │ �[39m                "RTYPE_ID": 0,
�[90m2801 │ �[39m                "ANONYMIZE": "No",
�[90m2802 │ �[39m                "VERSION": 2,
�[90m2803 │ �[39m                "SHOW_IN_MATCH_KEY": "Yes"
�[90m2804 │ �[39m            },
�[90m2805 │ �[39m            {
�[90m2806 │ �[39m                "FTYPE_ID": 76,

�[1mClone found (json)�[22m
 - /github/workspace/src/sz_default_config.json [2009:39 - 2024:28]
   /github/workspace/src/sz_default_config.json [2757:44 - 2772:28]
�[90m2009 │ �[39m                "FTYPE_DESC": "Gender",
�[90m2010 │ �[39m                "FCLASS_ID": 3,
�[90m2011 │ �[39m                "FTYPE_FREQ": "FVM",
�[90m2012 │ �[39m                "FTYPE_EXCL": "Yes",
�[90m2013 │ �[39m                "FTYPE_STAB": "No",
�[90m2014 │ �[39m                "PERSIST_HISTORY": "Yes",
�[90m2015 │ �[39m                "USED_FOR_CAND": "No",
�[90m2016 │ �[39m                "DERIVED": "No",
�[90m2017 │ �[39m                "DERIVATION": null,
�[90m2018 │ �[39m                "RTYPE_ID": 0,
�[90m2019 │ �[39m                "ANONYMIZE": "No",
�[90m2020 │ �[39m                "VERSION": 1,
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�[90m2022 │ �[39m            },
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�[90m2757 │ �[39m                "FTYPE_DESC": "Record Type",
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�[90m2759 │ �[39m                "FTYPE_FREQ": "FVM",
�[90m2760 │ �[39m                "FTYPE_EXCL": "Yes",
�[90m2761 │ �[39m                "FTYPE_STAB": "No",
�[90m2762 │ �[39m                "PERSIST_HISTORY": "Yes",
�[90m2763 │ �[39m                "USED_FOR_CAND": "No",
�[90m2764 │ �[39m                "DERIVED": "No",
�[90m2765 │ �[39m                "DERIVATION": null,
�[90m2766 │ �[39m                "RTYPE_ID": 0,
�[90m2767 │ �[39m                "ANONYMIZE": "No",
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�[1mClone found (json)�[22m
 - /github/workspace/src/sz_default_config.json [2060:55 - 2075:28]
   /github/workspace/src/sz_default_config.json [2383:50 - 2398:28]
�[90m2060 │ �[39m                "FTYPE_DESC": "Social security number",
�[90m2061 │ �[39m                "FCLASS_ID": 7,
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�[90m2066 │ �[39m                "USED_FOR_CAND": "Yes",
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�[90m2072 │ �[39m                "SHOW_IN_MATCH_KEY": "Yes"
�[90m2073 │ �[39m            },
�[90m2074 │ �[39m            {
�[90m2075 │ �[39m                "FTYPE_ID": 9,
�[90m2383 │ �[39m                "FTYPE_DESC": "Vehicle ID number",
�[90m2384 │ �[39m                "FCLASS_ID": 7,
�[90m2385 │ �[39m                "FTYPE_FREQ": "F1",
�[90m2386 │ �[39m                "FTYPE_EXCL": "Yes",
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�[90m2388 │ �[39m                "PERSIST_HISTORY": "Yes",
�[90m2389 │ �[39m                "USED_FOR_CAND": "Yes",
�[90m2390 │ �[39m                "DERIVED": "No",
�[90m2391 │ �[39m                "DERIVATION": null,
�[90m2392 │ �[39m                "RTYPE_ID": 0,
�[90m2393 │ �[39m                "ANONYMIZE": "No",
�[90m2394 │ �[39m                "VERSION": 1,
�[90m2395 │ �[39m                "SHOW_IN_MATCH_KEY": "Yes"
�[90m2396 │ �[39m            },
�[90m2397 │ �[39m            {
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�[1mClone found (json)�[22m
 - /github/workspace/src/sz_default_config.json [2077:48 - 2092:28]
   /github/workspace/src/sz_default_config.json [2400:54 - 2415:28]
�[90m2077 │ �[39m                "FTYPE_DESC": "Drivers license",
�[90m2078 │ �[39m                "FCLASS_ID": 7,
�[90m2079 │ �[39m                "FTYPE_FREQ": "F1",
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�[90m2401 │ �[39m                "FCLASS_ID": 7,
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�[90m2403 │ �[39m                "FTYPE_EXCL": "Yes",
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�[90m2405 │ �[39m                "PERSIST_HISTORY": "Yes",
�[90m2406 │ �[39m                "USED_FOR_CAND": "Yes",
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�[90m2408 │ �[39m                "DERIVATION": null,
�[90m2409 │ �[39m                "RTYPE_ID": 0,
�[90m2410 │ �[39m                "ANONYMIZE": "No",
�[90m2411 │ �[39m                "VERSION": 1,
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�[1mClone found (json)�[22m
 - /github/workspace/src/sz_default_config.json [2094:48 - 2109:28]
   /github/workspace/src/sz_default_config.json [2842:44 - 2857:28]
�[90m2094 │ �[39m                "FTYPE_DESC": "Passport number",
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�[90m2855 │ �[39m            },
�[90m2856 │ �[39m            {
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�[1mClone found (json)�[22m
 - /github/workspace/src/sz_default_config.json [2094:48 - 2109:28]
   /github/workspace/src/sz_default_config.json [2859:43 - 2874:28]
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�[90m2096 │ �[39m                "FTYPE_FREQ": "F1",
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�[90m2861 │ �[39m                "FTYPE_FREQ": "F1",
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�[90m2867 │ �[39m                "DERIVATION": null,
�[90m2868 │ �[39m                "RTYPE_ID": 0,
�[90m2869 │ �[39m                "ANONYMIZE": "No",
�[90m2870 │ �[39m                "VERSION": 2,
�[90m2871 │ �[39m                "SHOW_IN_MATCH_KEY": "Yes"
�[90m2872 │ �[39m            },
�[90m2873 │ �[39m            {
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�[1mClone found (json)�[22m
 - /github/workspace/src/sz_default_config.json [2094:48 - 2109:28]
   /github/workspace/src/sz_default_config.json [2876:43 - 2891:28]
�[90m2094 │ �[39m                "FTYPE_DESC": "Passport number",
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�[90m2107 │ �[39m            },
�[90m2108 │ �[39m            {
�[90m2109 │ �[39m                "FTYPE_ID": 11,
�[90m2876 │ �[39m                "FTYPE_DESC": "LEI Number",
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�[90m2878 │ �[39m                "FTYPE_FREQ": "F1",
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�[90m2880 │ �[39m                "FTYPE_STAB": "No",
�[90m2881 │ �[39m                "PERSIST_HISTORY": "Yes",
�[90m2882 │ �[39m                "USED_FOR_CAND": "Yes",
�[90m2883 │ �[39m                "DERIVED": "No",
�[90m2884 │ �[39m                "DERIVATION": null,
�[90m2885 │ �[39m                "RTYPE_ID": 0,
�[90m2886 │ �[39m                "ANONYMIZE": "No",
�[90m2887 │ �[39m                "VERSION": 2,
�[90m2888 │ �[39m                "SHOW_IN_MATCH_KEY": "Yes"
�[90m2889 │ �[39m            },
�[90m2890 │ �[39m            {
�[90m2891 │ �[39m                "FTYPE_ID": 86,

�[1mClone found (json)�[22m
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   /github/workspace/src/sz_default_config.json [2128:51 - 2143:28]
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�[90m2113 │ �[39m                "FTYPE_FREQ": "F1",
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�[90m2116 │ �[39m                "PERSIST_HISTORY": "Yes",
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�[90m2124 │ �[39m            },
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�[90m2126 │ �[39m                "FTYPE_ID": 12,
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�[1mClone found (json)�[22m
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�[90m2962 │ �[39m                "FCLASS_ID": 9,
�[90m2963 │ �[39m                "FTYPE_FREQ": "NONE",
�[90m2964 │ �[39m                "FTYPE_EXCL": "No",
�[90m2965 │ �[39m                "FTYPE_STAB": "No",
�[90m2966 │ �[39m                "PERSIST_HISTORY": "Yes",
�[90m2967 │ �[39m                "USED_FOR_CAND": "No",
�[90m2968 │ �[39m                "DERIVED": "No",
�[90m2969 │ �[39m                "DERIVATION": null,
�[90m2970 │ �[39m                "RTYPE_ID": 11,
�[90m2971 │ �[39m                "ANONYMIZE": "No",
�[90m2972 │ �[39m                "VERSION": 1,
�[90m2973 │ �[39m                "SHOW_IN_MATCH_KEY": "Yes"
�[90m2974 │ �[39m            },
�[90m2975 │ �[39m            {
�[90m2976 │ �[39m                "FTYPE_ID": 91,

�[90m┌──────────┬────────────────┬─────────────┬──────────────┬──────────────┬──────────────────┬───────────────────┐�[39m
�[90m│�[39m�[31m Format   �[39m�[90m│�[39m�[31m Files analyzed �[39m�[90m│�[39m�[31m Total lines �[39m�[90m│�[39m�[31m Total tokens �[39m�[90m│�[39m�[31m Clones found �[39m�[90m│�[39m�[31m Duplicated lines �[39m�[90m│�[39m�[31m Duplicated tokens �[39m�[90m│�[39m
�[90m├──────────┼────────────────┼─────────────┼──────────────┼──────────────┼──────────────────┼───────────────────┤�[39m
�[90m│�[39m bash     �[90m│�[39m 11             �[90m│�[39m 1101        �[90m│�[39m 2903         �[90m│�[39m 0            �[90m│�[39m 0 (0.00%)        �[90m│�[39m 0 (0.00%)         �[90m│�[39m
�[90m├──────────┼────────────────┼─────────────┼──────────────┼──────────────┼──────────────────┼───────────────────┤�[39m
�[90m│�[39m json     �[90m│�[39m 2              �[90m│�[39m 3047        �[90m│�[39m 10614        �[90m│�[39m 29           �[90m│�[39m 435 (14.28%)     �[90m│�[39m 1537 (14.48%)     �[90m│�[39m
�[90m├──────────┼────────────────┼─────────────┼──────────────┼──────────────┼──────────────────┼───────────────────┤�[39m
�[90m│�[39m markdown �[90m│�[39m 3              �[90m│�[39m 499         �[90m│�[39m 1193         �[90m│�[39m 0            �[90m│�[39m 0 (0.00%)        �[90m│�[39m 0 (0.00%)         �[90m│�[39m
�[90m├──────────┼────────────────┼─────────────┼──────────────┼──────────────┼──────────────────┼───────────────────┤�[39m
�[90m│�[39m perl     �[90m│�[39m 1              �[90m│�[39m 168         �[90m│�[39m 662          �[90m│�[39m 0            �[90m│�[39m 0 (0.00%)        �[90m│�[39m 0 (0.00%)         �[90m│�[39m
�[90m├──────────┼────────────────┼─────────────┼──────────────┼──────────────┼──────────────────┼───────────────────┤�[39m
�[90m│�[39m python   �[90m│�[39m 3              �[90m│�[39m 2917        �[90m│�[39m 15115        �[90m│�[39m 11           �[90m│�[39m 107 (3.67%)      �[90m│�[39m 776 (5.13%)       �[90m│�[39m
�[90m├──────────┼────────────────┼─────────────┼──────────────┼──────────────┼──────────────────┼───────────────────┤�[39m
�[90m│�[39m text     �[90m│�[39m 2              �[90m│�[39m 436         �[90m│�[39m 559          �[90m│�[39m 0            �[90m│�[39m 0 (0.00%)        �[90m│�[39m 0 (0.00%)         �[90m│�[39m
�[90m├──────────┼────────────────┼─────────────┼──────────────┼──────────────┼──────────────────┼───────────────────┤�[39m
�[90m│�[39m toml     �[90m│�[39m 1              �[90m│�[39m 126         �[90m│�[39m 369          �[90m│�[39m 0            �[90m│�[39m 0 (0.00%)        �[90m│�[39m 0 (0.00%)         �[90m│�[39m
�[90m├──────────┼────────────────┼─────────────┼──────────────┼──────────────┼──────────────────┼───────────────────┤�[39m
�[90m│�[39m yaml     �[90m│�[39m 11             �[90m│�[39m 248         �[90m│�[39m 1273         �[90m│�[39m 1            �[90m│�[39m 7 (2.82%)        �[90m│�[39m 60 (4.71%)        �[90m│�[39m
�[90m├──────────┼────────────────┼─────────────┼──────────────┼──────────────┼──────────────────┼───────────────────┤�[39m
�[90m│�[39m �[1mTotal:�[22m   �[90m│�[39m 34             �[90m│�[39m 8542        �[90m│�[39m 32688        �[90m│�[39m 41           �[90m│�[39m 549 (6.43%)      �[90m│�[39m 2373 (7.26%)      �[90m│�[39m
�[90m└──────────┴────────────────┴─────────────┴──────────────┴──────────────┴──────────────────┴───────────────────┘�[39m
�[90mFound 41 clones.�[39m
�[90mtime: 122.038ms�[39mUsing config from /action/lib/.automation/.jscpd.json
ERROR: jscpd found too many duplicates (6.4%) over threshold (0.0%)

dependabot Bot assigned kernelsam Aug 7, 2026

dependabot Bot added dependencies Pull requests that update a dependency file github_actions Pull requests that update GitHub Actions code labels Aug 7, 2026

dependabot Bot requested a review from a team as a code owner August 7, 2026 08:53

senzingdevops approved these changes Aug 7, 2026

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github-actions Bot enabled auto-merge (squash) August 7, 2026 08:53

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Bump actions/checkout from 7.0.0 to 7.0.1 - #142

Bump actions/checkout from 7.0.0 to 7.0.1#142
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dependabot Bot commented on behalf of github Aug 7, 2026

v7.0.1

What's Changed

v7.0.1

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github-actions Bot commented Aug 7, 2026

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No issues found. This is a clean, low-risk dependency version bump (actions/checkout@v7.0.0 → v7.0.1) with no functional, security, or documentation concerns. Safe to merge.

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No issues found. This is a clean, low-risk dependency version bump (`actions/checkout@v7.0.0` → `v7.0.1`) with no functional, security, or documentation concerns. Safe to merge.