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Summary: Applies new import merging and sorting from µsort v1.0. When merging imports, µsort will make a best-effort to move associated comments to match merged elements, but there are known limitations due to the diynamic nature of Python and developer tooling. These changes should not produce any dangerous runtime changes, but may require touch-ups to satisfy linters and other tooling. Note that µsort uses case-insensitive, lexicographical sorting, which results in a different ordering compared to isort. This provides a more consistent sorting order, matching the case-insensitive order used when sorting import statements by module name, and ensures that "frog", "FROG", and "Frog" always sort next to each other. For details on µsort's sorting and merging semantics, see the user guide: https://usort.readthedocs.io/en/stable/guide.html#sorting Test Plan: S271899 Reviewed By: lisroach Differential Revision: D36402110 Pull Request resolved: https://github.com/pytorch/pytorch/pull/78973 Approved by: https://github.com/osalpekar
234 lines
7 KiB
Python
234 lines
7 KiB
Python
import os
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import subprocess
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from typing import Dict, IO, List, Set, Tuple
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from ..oss.utils import get_pytorch_folder
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from ..util.setting import SUMMARY_FOLDER_DIR, TestList, TestStatusType
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CoverageItem = Tuple[str, float, int, int]
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def key_by_percentage(x: CoverageItem) -> float:
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return x[1]
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def key_by_name(x: CoverageItem) -> str:
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return x[0]
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def is_intrested_file(file_path: str, interested_folders: List[str]) -> bool:
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if "cuda" in file_path:
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return False
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if "aten/gen_aten" in file_path or "aten/aten_" in file_path:
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return False
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for folder in interested_folders:
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if folder in file_path:
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return True
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return False
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def is_this_type_of_tests(target_name: str, test_set_by_type: Set[str]) -> bool:
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# tests are divided into three types: success / partial success / fail to collect coverage
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for test in test_set_by_type:
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if target_name in test:
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return True
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return False
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def print_test_by_type(
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tests: TestList, test_set_by_type: Set[str], type_name: str, summary_file: IO[str]
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) -> None:
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print("Tests " + type_name + " to collect coverage:", file=summary_file)
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for test in tests:
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if is_this_type_of_tests(test.name, test_set_by_type):
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print(test.target_pattern, file=summary_file)
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print(file=summary_file)
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def print_test_condition(
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tests: TestList,
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tests_type: TestStatusType,
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interested_folders: List[str],
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coverage_only: List[str],
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summary_file: IO[str],
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summary_type: str,
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) -> None:
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print_test_by_type(tests, tests_type["success"], "fully success", summary_file)
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print_test_by_type(tests, tests_type["partial"], "partially success", summary_file)
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print_test_by_type(tests, tests_type["fail"], "failed", summary_file)
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print(
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"\n\nCoverage Collected Over Interested Folders:\n",
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interested_folders,
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file=summary_file,
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)
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print(
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"\n\nCoverage Compilation Flags Only Apply To: \n",
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coverage_only,
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file=summary_file,
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)
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print(
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"\n\n---------------------------------- "
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+ summary_type
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+ " ----------------------------------",
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file=summary_file,
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)
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def line_oriented_report(
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tests: TestList,
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tests_type: TestStatusType,
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interested_folders: List[str],
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coverage_only: List[str],
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covered_lines: Dict[str, Set[int]],
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uncovered_lines: Dict[str, Set[int]],
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) -> None:
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with open(os.path.join(SUMMARY_FOLDER_DIR, "line_summary"), "w+") as report_file:
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print_test_condition(
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tests,
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tests_type,
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interested_folders,
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coverage_only,
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report_file,
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"LINE SUMMARY",
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)
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for file_name in covered_lines:
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covered = covered_lines[file_name]
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uncovered = uncovered_lines[file_name]
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print(
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f"{file_name}\n covered lines: {sorted(covered)}\n unconvered lines:{sorted(uncovered)}",
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file=report_file,
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)
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def print_file_summary(
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covered_summary: int, total_summary: int, summary_file: IO[str]
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) -> float:
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# print summary first
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try:
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coverage_percentage = 100.0 * covered_summary / total_summary
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except ZeroDivisionError:
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coverage_percentage = 0
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print(
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f"SUMMARY\ncovered: {covered_summary}\nuncovered: {total_summary}\npercentage: {coverage_percentage:.2f}%\n\n",
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file=summary_file,
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)
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if coverage_percentage == 0:
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print("Coverage is 0, Please check if json profiles are valid")
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return coverage_percentage
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def print_file_oriented_report(
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tests_type: TestStatusType,
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coverage: List[CoverageItem],
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covered_summary: int,
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total_summary: int,
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summary_file: IO[str],
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tests: TestList,
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interested_folders: List[str],
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coverage_only: List[str],
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) -> None:
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coverage_percentage = print_file_summary(
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covered_summary, total_summary, summary_file
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)
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# print test condition (interested folder / tests that are successsful or failed)
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print_test_condition(
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tests,
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tests_type,
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interested_folders,
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coverage_only,
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summary_file,
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"FILE SUMMARY",
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)
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# print each file's information
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for item in coverage:
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print(
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item[0].ljust(75),
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(str(item[1]) + "%").rjust(10),
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str(item[2]).rjust(10),
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str(item[3]).rjust(10),
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file=summary_file,
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)
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print(f"summary percentage:{coverage_percentage:.2f}%")
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def file_oriented_report(
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tests: TestList,
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tests_type: TestStatusType,
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interested_folders: List[str],
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coverage_only: List[str],
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covered_lines: Dict[str, Set[int]],
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uncovered_lines: Dict[str, Set[int]],
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) -> None:
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with open(os.path.join(SUMMARY_FOLDER_DIR, "file_summary"), "w+") as summary_file:
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covered_summary = 0
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total_summary = 0
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coverage = []
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for file_name in covered_lines:
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# get coverage number for this file
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covered_count = len(covered_lines[file_name])
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total_count = covered_count + len(uncovered_lines[file_name])
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try:
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percentage = round(covered_count / total_count * 100, 2)
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except ZeroDivisionError:
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percentage = 0
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# store information in a list to be sorted
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coverage.append((file_name, percentage, covered_count, total_count))
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# update summary
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covered_summary = covered_summary + covered_count
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total_summary = total_summary + total_count
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# sort
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coverage.sort(key=key_by_name)
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coverage.sort(key=key_by_percentage)
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# print
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print_file_oriented_report(
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tests_type,
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coverage,
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covered_summary,
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total_summary,
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summary_file,
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tests,
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interested_folders,
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coverage_only,
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)
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def get_html_ignored_pattern() -> List[str]:
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return ["/usr/*", "*anaconda3/*", "*third_party/*"]
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def html_oriented_report() -> None:
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# use lcov to generate the coverage report
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build_folder = os.path.join(get_pytorch_folder(), "build")
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coverage_info_file = os.path.join(SUMMARY_FOLDER_DIR, "coverage.info")
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# generage coverage report -- coverage.info in build folder
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subprocess.check_call(
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[
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"lcov",
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"--capture",
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"--directory",
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build_folder,
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"--output-file",
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coverage_info_file,
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]
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)
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# remove files that are unrelated
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cmd_array = (
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["lcov", "--remove", coverage_info_file]
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+ get_html_ignored_pattern()
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+ ["--output-file", coverage_info_file]
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)
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subprocess.check_call(
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# ["lcov", "--remove", coverage_info_file, "--output-file", coverage_info_file]
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cmd_array
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)
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# generate beautiful html page
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subprocess.check_call(
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[
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"genhtml",
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coverage_info_file,
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"--output-directory",
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os.path.join(SUMMARY_FOLDER_DIR, "html_report"),
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]
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)
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