Perform various data analysis on SEC 13-F and obtain some insights of fund activities such as number of holdings, AUM, and change of holdings between two quarters.
日本語の概要は準備中です。原文の説明を表示しています。
Video editing with ffmpeg including cutting, trimming, concatenating segments, and re-encoding. Use when working with video files (.mp4, .mkv, .avi) for: removing segments, joining clips, extracting portions, or any video manipulation task.
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# Extract from start_time to end_time
ffmpeg -i input.mp4 -ss START -to END -c copy output.mp4
# With re-encoding for frame-accurate cuts
ffmpeg -i input.mp4 -ss START -to END -c:v libx264 -c:a aac output.mp4
To remove a segment, split into parts and concatenate:
# 1. Extract before the cut
ffmpeg -i input.mp4 -to CUT_START -c copy part1.mp4
# 2. Extract after the cut
ffmpeg -i input.mp4 -ss CUT_END -c copy part2.mp4
# 3. Concatenate
ffmpeg -f concat -safe 0 -i filelist.txt -c copy output.mp4
Create a file list (segments.txt):
file 'segment1.mp4'
file 'segment2.mp4'
file 'segment3.mp4'
Then concatenate:
ffmpeg -f concat -safe 0 -i segments.txt -c copy output.mp4
ffmpeg -i seg1.mp4 -i seg2.mp4 -i seg3.mp4 \
-filter_complex "[0:v][0:a][1:v][1:a][2:v][2:a]concat=n=3:v=1:a=1[v][a]" \
-map "[v]" -map "[a]" output.mp4
For removing many short segments (like filler words), the efficient approach:
import subprocess
import os
def remove_segments(input_file, segments_to_remove, output_file):
"""
segments_to_remove: list of (start, end) tuples in seconds
"""
# Get video duration
result = subprocess.run([
'ffprobe', '-v', 'error', '-show_entries', 'format=duration',
'-of', 'default=noprint_wrappers=1:nokey=1', input_file
], capture_output=True, text=True)
duration = float(result.stdout.strip())
# Sort segments and merge overlapping
segments = sorted(segments_to_remove)
# Calculate keep segments (gaps between remove segments)
keep_segments = []
current_pos = 0.0
for start, end in segments:
if start > current_pos:
keep_segments.append((current_pos, start))
current_pos = max(current_pos, end)
if current_pos < duration:
keep_segments.append((current_pos, duration))
# Extract each keep segment
temp_files = []
for i, (start, end) in enumerate(keep_segments):
temp_file = f'/tmp/seg_{i:04d}.mp4'
subprocess.run([
'ffmpeg', '-y', '-i', input_file,
'-ss', str(start), '-to', str(end),
'-c', 'copy', temp_file
], check=True)
temp_files.append(temp_file)
# Create concat list
list_file = '/tmp/concat_list.txt'
with open(list_file, 'w') as f:
for temp_file in temp_files:
f.write(f"file '{temp_file}'\n")
# Concatenate
subprocess.run([
'ffmpeg', '-y', '-f', 'concat', '-safe', '0',
'-i', list_file, '-c', 'copy', output_file
], check=True)
# Cleanup
for f in temp_files:
os.remove(f)
os.remove(list_file)
-c copy only when cutting at keyframes-c:v libx264 -c:a aacffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 input.mp4
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Perform various data analysis on SEC 13-F and obtain some insights of fund activities such as number of holdings, AUM, and change of holdings between two quarters.
日本語の概要は準備中です。原文の説明を表示しています。
AC branch pi-model power flow equations (P/Q and |S|) with transformer tap ratio and phase shift, matching `acopf-math-model.md` and MATPOWER branch fields. Use when computing branch flows in either direction, aggregating bus injections for nodal balance, checking MVA (rateA) limits, computing branch loading %, or debugging sign/units issues in AC power flow.
日本語の概要は準備中です。原文の説明を表示しています。
Redact text from PDF documents for blind review anonymization
日本語の概要は準備中です。原文の説明を表示しています。
Use when checking simplified ADA-derived plan-view bathroom accessibility constraints such as turning space, door clear width, toilet centerline, grab bars, and lavatory knee/toe clearance.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze failed GitHub Action jobs for a pull request.
日本語の概要は準備中です。原文の説明を表示しています。
Use when extracting plan-view architectural geometry from DXF files with semantic CAD layers, especially when outputs must normalize rooms, doors, fixtures, clearances, and grab bars into machine-checkable JSON.
日本語の概要は準備中です。原文の説明を表示しています。