'calc' 검색 결과

Build transfers and messaging between Solana and EVM chains with the deBridge Solana SDK. This development guide covers token transfers, destination contract calls, fee calculations, and checks that validate incoming transfer details.

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• Build token transfers between Solana and EVM chains
• Send messages between blockchains
• Call a contract on the destination chain

Build custom calculation and parsing tools that an n8n AI Agent can call. This skill covers JavaScript or Python inputs, structured arguments, string results, tool descriptions, and fixes for invocation and output errors.

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• Adding a calculation tool to an AI Agent
• Defining typed inputs for multiple arguments
• Fixing tool output type errors

Implements mathematical models from a design report as reproducible code, runs calculations, and checks results. It records methods and validation findings in a results report and produces data-based PDF charts for papers.

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• Implementing models from a modeling report
• Checking constraints and evaluating prediction errors
• Creating PDF charts from computed results

Filter Excel data using candidate column names, RGB color values, text prefixes, and regular expressions, which match text patterns. Calculate totals and averages, then export results to Excel with highlighted rows and a download link.

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• Filtering rows by RGB values or identifier prefixes
• Converting text to numbers and calculating totals or averages
• Extracting matching commands with their identifiers and descriptions

Clean a target Excel column, convert its values to numbers, and compare the calculated total with a summary sheet. Export the totals, match status, and difference in Excel and CSV files.

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• Standardize numerical formats before calculating a column total
• Check detail totals against a summary sheet
• Export reconciliation results to Excel and CSV

Turn percentage strings into numeric data, calculate the remaining share needed to reach 100%, and create stacked bar charts. Compare category composition across periods or groups and save the chart as a high-resolution image.

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• Charting monthly changes in category shares
• Comparing composition across groups
• Calculating an Other category from remaining percentages

Count rows across Excel sheets to assess data size, then analyze an existing Parquet file, a format for storing tabular data. Calculate category counts and percentages, and save the results as an Excel summary and a pie chart.

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• Counting rows across every sheet in an Excel workbook
• Calculating category counts and percentages from Parquet data
• Creating a pie chart of category proportions

Calculate averages for selected groups in Excel and sum items extracted from specified row ranges after removing duplicates. Save filtered records, summary statistics, and item totals as Excel files with local download links.

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• Calculate average scores for a selected class
• Sum equipment power values without duplicate items
• Export filtered records and summary statistics

Clean category data in Excel, group entries, and calculate counts, totals, and shares. Create a summary spreadsheet with a total row and highlighted maximum values, alongside a bar chart for comparing groups.

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• Cleaning category labels before analysis
• Combining labels into defined groups
• Calculating group counts, totals, and shares

Extract key metrics from spreadsheet data, check whether recorded values match calculations after unit conversion, and rank selected metrics from highest to lowest. Export the ranking or validation results to an Excel file for download.

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• Check calculations involving different units
• Rank business metrics from highest to lowest
• Export validation results to Excel

Extract and analyze text, tables, numbers, and charts from Word, PDF, and PowerPoint documents. Process complete files or document collections, aggregate findings, and verify counts, calculations, and units before presenting answers.

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• Extract tables and numbers from reports
• Compare and summarize multiple documents
• Read scanned PDFs and image-only slides

Interpret .NET coverage reports, which show code exercised by tests, to explain missing coverage and stalled progress. Calculate the gains needed to reach a target and, when requested, combine coverage with complexity to rank risk.

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• Explain Cobertura reports and partially covered conditions
• Find the code keeping coverage from improving
• Calculate line gains needed to reach a coverage target

Find changes in observable behavior that existing tests could miss. Map public results to test assertions, identify gaps in boundaries, permissions, and calculations, and propose focused tests, with optional verification when requested.

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• Check whether existing tests would catch a bug
• Find missing boundary and permission-denial tests
• Review exact amounts and rounding in financial calculations

Create and edit Obsidian Bases files to organize notes into tables, cards, and lists. Filter notes by tags or properties, calculate values such as days until a deadline, and configure grouping and summaries.

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• Build a task table with deadlines and status
• Organize books and articles into reading cards
• Create an index of daily notes

Track Google and Meta ad spending against monthly budgets across accounts and campaigns. Project spending at month end, flag overuse or underuse, and calculate daily budget changes while accounting for weekday and weekend spending patterns.

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• Checking weekly spending against monthly targets
• Managing client accounts with strict monthly budgets
• Monitoring daily spending during promotions

Analyze A/B test results to assess whether observed differences are likely due to chance. Check test duration and sample size, compare audience segments, distinguish statistical findings from practical value, and generate hypotheses for follow-up tests.

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• Evaluating results from a headline A/B test
• Estimating sample sizes before starting a test
• Comparing results by device or traffic source

Create and edit Obsidian Bases files to organize notes into tables, cards, lists, or maps. Configure filters, calculated properties, grouping, and summaries to build task trackers, reading lists, and indexes of daily notes.

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• Building a task table with due dates and progress
• Organizing books and articles into a reading list
• Creating an index of daily notes

Improve R code used in empirical economics by finding slow operations, reducing memory use, and optimizing data processing and regressions. It covers large panel datasets and repeated calculations, with checks that optimized code preserves the original results.

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• Optimizing imports and summaries for large survey datasets
• Speeding up fixed-effects regressions on panel data
• Parallelizing Bootstrap and Monte Carlo calculations

Estimate study sample sizes and statistical power, the chance of detecting a specified effect. Calculate detectable effects for a fixed sample, compare assumptions with power curves, and document adjustments for dropout, multiple comparisons, or clustered observations.

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• Estimate participant or sample counts before data collection
• Find the smallest effect detectable with a fixed sample
• Compare sample requirements across plausible effect sizes

Solve complex analysis problems by choosing residue calculations for different singularities, points where a function is not analytic. The skill covers limits, derivatives, Laurent series, and contour integrals using the residue theorem, with Sympy and Z3 command examples.

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• Calculating residues at simple and higher-order poles
• Determining the order of a pole
• Finding residues at essential singularities using Laurent series

Work through convergence problems in real analysis by identifying sequence and series types, choosing suitable tests, checking limits and bounds, and calculating sums when a series converges.

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• Choose a convergence test for a series
• Check sequence limits and inequality bounds
• Calculate the sum of a convergent series

Work through matrix problems in linear algebra by identifying matrix types and choosing suitable calculations. The skill covers multiplication, inverses, determinants, linear systems, and decompositions that express a matrix as simpler components.

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• Identifying matrix types and properties
• Calculating matrix products, inverses, and determinants
• Solving systems of linear equations

Choose numerical methods for approximating integrals based on the interval, function behavior, and number of dimensions. The skill guides SciPy calculations, error tolerance settings, and accuracy checks against known solutions or repeated calculations with tighter tolerances.

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• Choosing a method for a definite or improper integral
• Computing two- or three-dimensional integrals
• Checking accuracy by tightening error tolerances

Work through abstract algebra problems about fields, number systems supporting addition, subtraction, multiplication, and division by nonzero elements. Follow a decision tree covering field axioms, extensions, characteristic, and algebraic elements, with commands for polynomial calculations.

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• Organize checks for whether a structure is a field
• Study field extensions and extension degrees
• Review characteristic and finite field size