[INFO] updating cached repository vcombey/neural_network [INFO] running `"git" "fetch" "--all"` [INFO] [stdout] Fetching origin [INFO] [stderr] From git://github.com/vcombey/neural_network [INFO] [stderr] * branch HEAD -> FETCH_HEAD [INFO] running `"git" "clone" "work/cache/sources/gh/vcombey/neural_network" "work/ex/pr-63376/sources/master#60960a260f7b5c695fd0717311d72ce62dd4eb43/gh/vcombey/neural_network"` [INFO] [stderr] Cloning into 'work/ex/pr-63376/sources/master#60960a260f7b5c695fd0717311d72ce62dd4eb43/gh/vcombey/neural_network'... [INFO] [stderr] done. [INFO] running `"git" "clone" "work/cache/sources/gh/vcombey/neural_network" "work/ex/pr-63376/sources/try#266783e4e09e4e9d5307c1c8e695659c58bbcac7/gh/vcombey/neural_network"` [INFO] [stderr] Cloning into 'work/ex/pr-63376/sources/try#266783e4e09e4e9d5307c1c8e695659c58bbcac7/gh/vcombey/neural_network'... [INFO] [stderr] done. [INFO] running `"git" "rev-parse" "HEAD"` [INFO] [stdout] fcb6e542d3d5229ad1cc94a50ea7fab4cf133104 [INFO] sha for GitHub repo vcombey/neural_network: fcb6e542d3d5229ad1cc94a50ea7fab4cf133104 [INFO] validating manifest of vcombey/neural_network on toolchain master#60960a260f7b5c695fd0717311d72ce62dd4eb43 [INFO] running `"/mnt/big/crater/work/local/cargo-home/bin/cargo" "+60960a260f7b5c695fd0717311d72ce62dd4eb43-alt" "read-manifest" "--manifest-path" "Cargo.toml"` [INFO] validating manifest of vcombey/neural_network on toolchain try#266783e4e09e4e9d5307c1c8e695659c58bbcac7 [INFO] running `"/mnt/big/crater/work/local/cargo-home/bin/cargo" "+266783e4e09e4e9d5307c1c8e695659c58bbcac7-alt" "read-manifest" "--manifest-path" "Cargo.toml"` [INFO] started frobbing vcombey/neural_network [INFO] finished frobbing vcombey/neural_network [INFO] frobbed toml for vcombey/neural_network written to work/ex/pr-63376/sources/master#60960a260f7b5c695fd0717311d72ce62dd4eb43/gh/vcombey/neural_network/Cargo.toml [INFO] started frobbing vcombey/neural_network [INFO] finished frobbing vcombey/neural_network [INFO] frobbed toml for vcombey/neural_network written to work/ex/pr-63376/sources/try#266783e4e09e4e9d5307c1c8e695659c58bbcac7/gh/vcombey/neural_network/Cargo.toml [INFO] crate vcombey/neural_network already has a lockfile, it will not be regenerated [INFO] running `"/mnt/big/crater/work/local/cargo-home/bin/cargo" "+60960a260f7b5c695fd0717311d72ce62dd4eb43-alt" "fetch" "--locked" "--manifest-path" "Cargo.toml"` [INFO] running `"/mnt/big/crater/work/local/cargo-home/bin/cargo" "+266783e4e09e4e9d5307c1c8e695659c58bbcac7-alt" "fetch" "--locked" "--manifest-path" "Cargo.toml"` [INFO] checking vcombey/neural_network against master#60960a260f7b5c695fd0717311d72ce62dd4eb43 for pr-63376 [INFO] running `"docker" "create" "-v" "/mnt/big/crater/work/local/target-dirs/pr-63376/worker-5/master#60960a260f7b5c695fd0717311d72ce62dd4eb43:/opt/crater/target:rw,Z" "-v" "/mnt/big/crater/work/ex/pr-63376/sources/master#60960a260f7b5c695fd0717311d72ce62dd4eb43/gh/vcombey/neural_network:/opt/crater/workdir:ro,Z" "-v" "/mnt/big/crater/work/local/cargo-home:/opt/crater/cargo-home:ro,Z" "-v" "/mnt/big/crater/work/local/rustup-home:/opt/crater/rustup-home:ro,Z" "-e" "USER_ID=1000" "-e" "SOURCE_DIR=/opt/crater/workdir" "-e" "MAP_USER_ID=1000" "-e" "CARGO_TARGET_DIR=/opt/crater/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/crater/cargo-home" "-e" "RUSTUP_HOME=/opt/crater/rustup-home" "-w" "/opt/crater/workdir" "-m" "1536M" "--network" "none" "rustops/crates-build-env" "/opt/crater/cargo-home/bin/cargo" "+60960a260f7b5c695fd0717311d72ce62dd4eb43-alt" "check" "--frozen" "--all" "--all-targets"` [INFO] [stdout] 1afa4394d36ef90da7a9d6b52031df0653aa7d57d4d477b43fe5d95b4182083f [INFO] running `"docker" "start" "-a" "1afa4394d36ef90da7a9d6b52031df0653aa7d57d4d477b43fe5d95b4182083f"` [INFO] [stderr] Checking neural_network v0.1.0 (/opt/crater/workdir) [INFO] [stderr] error: macro expansion ignores token `{` and any following [INFO] [stderr] --> <::std::macros::println macros>:2:2 [INFO] [stderr] | [INFO] [stderr] 2 | ({ $ crate :: io :: _print (format_args_nl ! ($ ($ arg) *)) ; }) [INFO] [stderr] | ^ [INFO] [stderr] | [INFO] [stderr] ::: src/main.rs:7:1 [INFO] [stderr] | [INFO] [stderr] 7 | println!("Scalar: {:?}", ); [INFO] [stderr] | --------------------------- caused by the macro expansion here [INFO] [stderr] | [INFO] [stderr] = note: the usage of `println!` is likely invalid in item context [INFO] [stderr] [INFO] [stderr] error: macro expansion ignores token `{` and any following [INFO] [stderr] --> <::std::macros::println macros>:2:2 [INFO] [stderr] | [INFO] [stderr] 2 | ({ $ crate :: io :: _print (format_args_nl ! ($ ($ arg) *)) ; }) [INFO] [stderr] | ^ [INFO] [stderr] | [INFO] [stderr] ::: src/main.rs:8:1 [INFO] [stderr] | [INFO] [stderr] 8 | println!("Vector: {:?}", ); [INFO] [stderr] | --------------------------- caused by the macro expansion here [INFO] [stderr] | [INFO] [stderr] = note: the usage of `println!` is likely invalid in item context [INFO] [stderr] [INFO] [stderr] error: macro expansion ignores token `{` and any following [INFO] [stderr] --> <::std::macros::println macros>:2:2 [INFO] [stderr] | [INFO] [stderr] 2 | ({ $ crate :: io :: _print (format_args_nl ! ($ ($ arg) *)) ; }) [INFO] [stderr] | ^ [INFO] [stderr] | [INFO] [stderr] ::: src/main.rs:7:1 [INFO] [stderr] | [INFO] [stderr] 7 | println!("Scalar: {:?}", ); [INFO] [stderr] | --------------------------- caused by the macro expansion here [INFO] [stderr] | [INFO] [stderr] = note: the usage of `println!` is likely invalid in item context [INFO] [stderr] [INFO] [stderr] error: macro expansion ignores token `{` and any following [INFO] [stderr] --> <::std::macros::println macros>:2:2 [INFO] [stderr] | [INFO] [stderr] 2 | ({ $ crate :: io :: _print (format_args_nl ! ($ ($ arg) *)) ; }) [INFO] [stderr] | ^ [INFO] [stderr] | [INFO] [stderr] ::: src/main.rs:8:1 [INFO] [stderr] | [INFO] [stderr] 8 | println!("Vector: {:?}", ); [INFO] [stderr] | --------------------------- caused by the macro expansion here [INFO] [stderr] | [INFO] [stderr] = note: the usage of `println!` is likely invalid in item context [INFO] [stderr] [INFO] [stderr] error[E0432]: unresolved import `random` [INFO] [stderr] --> src/main.rs:5:5 [INFO] [stderr] | [INFO] [stderr] 5 | use random::Source; [INFO] [stderr] | ^^^^^^ maybe a missing crate `random`? [INFO] [stderr] [INFO] [stderr] error[E0433]: failed to resolve: use of undeclared type or module `random` [INFO] [stderr] --> src/main.rs:19:26 [INFO] [stderr] | [INFO] [stderr] 19 | let mut source = random::default().seed([42, 69]); [INFO] [stderr] | ^^^^^^ use of undeclared type or module `random` [INFO] [stderr] [INFO] [stderr] error[E0432]: unresolved import `random` [INFO] [stderr] --> src/main.rs:5:5 [INFO] [stderr] | [INFO] [stderr] 5 | use random::Source; [INFO] [stderr] | ^^^^^^ maybe a missing crate `random`? [INFO] [stderr] [INFO] [stderr] error[E0433]: failed to resolve: use of undeclared type or module `random` [INFO] [stderr] --> src/main.rs:19:26 [INFO] [stderr] | [INFO] [stderr] 19 | let mut source = random::default().seed([42, 69]); [INFO] [stderr] | ^^^^^^ use of undeclared type or module `random` [INFO] [stderr] [INFO] [stderr] error[E0599]: no method named `map` found for type `&u32` in the current scope [INFO] [stderr] --> src/main.rs:39:51 [INFO] [stderr] | [INFO] [stderr] 39 | layer: layer_size.iter().map(|s| 0..s.map(|_| Neuron::new_random()).collect()).collect() [INFO] [stderr] | ^^^ [INFO] [stderr] | [INFO] [stderr] = note: the method `map` exists but the following trait bounds were not satisfied: [INFO] [stderr] `&mut &u32 : std::iter::Iterator` [INFO] [stderr] `&mut u32 : std::iter::Iterator` [INFO] [stderr] [INFO] [stderr] error[E0061]: this function takes 2 parameters but 0 parameters were supplied [INFO] [stderr] --> src/main.rs:39:59 [INFO] [stderr] | [INFO] [stderr] 18 | fn new_random(nb_conn: u64, activation_func: fn (f64) -> f64) -> Self { [INFO] [stderr] | --------------------------------------------------------------------- defined here [INFO] [stderr] ... [INFO] [stderr] 39 | layer: layer_size.iter().map(|s| 0..s.map(|_| Neuron::new_random()).collect()).collect() [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^ expected 2 parameters [INFO] [stderr] [INFO] [stderr] error[E0277]: a collection of type `std::vec::Vec>` cannot be built from an iterator over elements of type `std::ops::Range<{integer}>` [INFO] [stderr] --> src/main.rs:39:92 [INFO] [stderr] | [INFO] [stderr] 39 | layer: layer_size.iter().map(|s| 0..s.map(|_| Neuron::new_random()).collect()).collect() [INFO] [stderr] | ^^^^^^^ a collection of type `std::vec::Vec>` cannot be built from `std::iter::Iterator>` [INFO] [stderr] | [INFO] [stderr] = help: the trait `std::iter::FromIterator>` is not implemented for `std::vec::Vec>` [INFO] [stderr] [INFO] [stderr] error[E0277]: `std::vec::Vec` is not an iterator [INFO] [stderr] --> src/main.rs:54:22 [INFO] [stderr] | [INFO] [stderr] 54 | for n in &mut l { [INFO] [stderr] | ^^^^^^ `std::vec::Vec` is not an iterator [INFO] [stderr] | [INFO] [stderr] = help: the trait `std::iter::Iterator` is not implemented for `std::vec::Vec` [INFO] [stderr] = note: required because of the requirements on the impl of `std::iter::Iterator` for `&mut std::vec::Vec` [INFO] [stderr] [INFO] [stderr] error[E0609]: no field `activation` on type `&&&std::vec::Vec` [INFO] [stderr] --> src/main.rs:58:93 [INFO] [stderr] | [INFO] [stderr] 58 | let (res, prob) = self.layer.last().iter().enumerate().max_by(|(_, n1), (_, n2)| n1.activation >= n2.activation); [INFO] [stderr] | ^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] error[E0609]: no field `activation` on type `&&&std::vec::Vec` [INFO] [stderr] --> src/main.rs:58:110 [INFO] [stderr] | [INFO] [stderr] 58 | let (res, prob) = self.layer.last().iter().enumerate().max_by(|(_, n1), (_, n2)| n1.activation >= n2.activation); [INFO] [stderr] | ^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] error[E0308]: mismatched types [INFO] [stderr] --> src/main.rs:58:90 [INFO] [stderr] | [INFO] [stderr] 58 | let (res, prob) = self.layer.last().iter().enumerate().max_by(|(_, n1), (_, n2)| n1.activation >= n2.activation); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ expected enum `std::cmp::Ordering`, found bool [INFO] [stderr] | [INFO] [stderr] = note: expected type `std::cmp::Ordering` [INFO] [stderr] found type `bool` [INFO] [stderr] [INFO] [stderr] error[E0308]: mismatched types [INFO] [stderr] --> src/main.rs:58:13 [INFO] [stderr] | [INFO] [stderr] 58 | let (res, prob) = self.layer.last().iter().enumerate().max_by(|(_, n1), (_, n2)| n1.activation >= n2.activation); [INFO] [stderr] | ^^^^^^^^^^^ expected enum `std::option::Option`, found tuple [INFO] [stderr] | [INFO] [stderr] = note: expected type `std::option::Option<(usize, &&std::vec::Vec)>` [INFO] [stderr] found type `(_, _)` [INFO] [stderr] [INFO] [stderr] error[E0308]: mismatched types [INFO] [stderr] --> src/main.rs:45:43 [INFO] [stderr] | [INFO] [stderr] 45 | fn compute(&mut self, img: &Image) -> (u8, f64) { [INFO] [stderr] | ------- ^^^^^^^^^ expected tuple, found () [INFO] [stderr] | | [INFO] [stderr] | implicitly returns `()` as its body has no tail or `return` expression [INFO] [stderr] | [INFO] [stderr] = note: expected type `(u8, f64)` [INFO] [stderr] found type `()` [INFO] [stderr] [INFO] [stderr] error: aborting due to 13 previous errors [INFO] [stderr] [INFO] [stderr] Some errors have detailed explanations: E0061, E0277, E0308, E0432, E0433, E0599, E0609. [INFO] [stderr] For more information about an error, try `rustc --explain E0061`. [INFO] [stderr] error[E0599]: no method named `map` found for type `&u32` in the current scope [INFO] [stderr] --> src/main.rs:39:51 [INFO] [stderr] | [INFO] [stderr] 39 | layer: layer_size.iter().map(|s| 0..s.map(|_| Neuron::new_random()).collect()).collect() [INFO] [stderr] | ^^^ [INFO] [stderr] | [INFO] [stderr] = note: the method `map` exists but the following trait bounds were not satisfied: [INFO] [stderr] `&mut &u32 : std::iter::Iterator` [INFO] [stderr] `&mut u32 : std::iter::Iterator` [INFO] [stderr] [INFO] [stderr] error[E0061]: this function takes 2 parameters but 0 parameters were supplied [INFO] [stderr] --> src/main.rs:39:59 [INFO] [stderr] | [INFO] [stderr] 18 | fn new_random(nb_conn: u64, activation_func: fn (f64) -> f64) -> Self { [INFO] [stderr] | --------------------------------------------------------------------- defined here [INFO] [stderr] ... [INFO] [stderr] 39 | layer: layer_size.iter().map(|s| 0..s.map(|_| Neuron::new_random()).collect()).collect() [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^ expected 2 parameters [INFO] [stderr] [INFO] [stderr] error[E0277]: a collection of type `std::vec::Vec>` cannot be built from an iterator over elements of type `std::ops::Range<{integer}>` [INFO] [stderr] --> src/main.rs:39:92 [INFO] [stderr] | [INFO] [stderr] 39 | layer: layer_size.iter().map(|s| 0..s.map(|_| Neuron::new_random()).collect()).collect() [INFO] [stderr] | ^^^^^^^ a collection of type `std::vec::Vec>` cannot be built from `std::iter::Iterator>` [INFO] [stderr] | [INFO] [stderr] = help: the trait `std::iter::FromIterator>` is not implemented for `std::vec::Vec>` [INFO] [stderr] [INFO] [stderr] error: Could not compile `neural_network`. [INFO] [stderr] warning: build failed, waiting for other jobs to finish... [INFO] [stderr] error[E0277]: `std::vec::Vec` is not an iterator [INFO] [stderr] --> src/main.rs:54:22 [INFO] [stderr] | [INFO] [stderr] 54 | for n in &mut l { [INFO] [stderr] | ^^^^^^ `std::vec::Vec` is not an iterator [INFO] [stderr] | [INFO] [stderr] = help: the trait `std::iter::Iterator` is not implemented for `std::vec::Vec` [INFO] [stderr] = note: required because of the requirements on the impl of `std::iter::Iterator` for `&mut std::vec::Vec` [INFO] [stderr] [INFO] [stderr] error[E0609]: no field `activation` on type `&&&std::vec::Vec` [INFO] [stderr] --> src/main.rs:58:93 [INFO] [stderr] | [INFO] [stderr] 58 | let (res, prob) = self.layer.last().iter().enumerate().max_by(|(_, n1), (_, n2)| n1.activation >= n2.activation); [INFO] [stderr] | ^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] error[E0609]: no field `activation` on type `&&&std::vec::Vec` [INFO] [stderr] --> src/main.rs:58:110 [INFO] [stderr] | [INFO] [stderr] 58 | let (res, prob) = self.layer.last().iter().enumerate().max_by(|(_, n1), (_, n2)| n1.activation >= n2.activation); [INFO] [stderr] | ^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] error[E0308]: mismatched types [INFO] [stderr] --> src/main.rs:58:90 [INFO] [stderr] | [INFO] [stderr] 58 | let (res, prob) = self.layer.last().iter().enumerate().max_by(|(_, n1), (_, n2)| n1.activation >= n2.activation); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ expected enum `std::cmp::Ordering`, found bool [INFO] [stderr] | [INFO] [stderr] = note: expected type `std::cmp::Ordering` [INFO] [stderr] found type `bool` [INFO] [stderr] [INFO] [stderr] error[E0308]: mismatched types [INFO] [stderr] --> src/main.rs:58:13 [INFO] [stderr] | [INFO] [stderr] 58 | let (res, prob) = self.layer.last().iter().enumerate().max_by(|(_, n1), (_, n2)| n1.activation >= n2.activation); [INFO] [stderr] | ^^^^^^^^^^^ expected enum `std::option::Option`, found tuple [INFO] [stderr] | [INFO] [stderr] = note: expected type `std::option::Option<(usize, &&std::vec::Vec)>` [INFO] [stderr] found type `(_, _)` [INFO] [stderr] [INFO] [stderr] error[E0308]: mismatched types [INFO] [stderr] --> src/main.rs:45:43 [INFO] [stderr] | [INFO] [stderr] 45 | fn compute(&mut self, img: &Image) -> (u8, f64) { [INFO] [stderr] | ------- ^^^^^^^^^ expected tuple, found () [INFO] [stderr] | | [INFO] [stderr] | implicitly returns `()` as its body has no tail or `return` expression [INFO] [stderr] | [INFO] [stderr] = note: expected type `(u8, f64)` [INFO] [stderr] found type `()` [INFO] [stderr] [INFO] [stderr] error: aborting due to 13 previous errors [INFO] [stderr] [INFO] [stderr] Some errors have detailed explanations: E0061, E0277, E0308, E0432, E0433, E0599, E0609. [INFO] [stderr] For more information about an error, try `rustc --explain E0061`. [INFO] [stderr] error: Could not compile `neural_network`. [INFO] [stderr] [INFO] [stderr] To learn more, run the command again with --verbose. [INFO] running `"docker" "inspect" "1afa4394d36ef90da7a9d6b52031df0653aa7d57d4d477b43fe5d95b4182083f"` [INFO] running `"docker" "rm" "-f" "1afa4394d36ef90da7a9d6b52031df0653aa7d57d4d477b43fe5d95b4182083f"` [INFO] [stdout] 1afa4394d36ef90da7a9d6b52031df0653aa7d57d4d477b43fe5d95b4182083f